annual report 2013 - university of technology sydney annual report 2013_web.pdf · the centre grew...

AAAnnnnnnuuuaaalll RRReeepppooorrrttt 222000111333 TTThhheee CCCeeennntttrrreee fffooorrr

QQQUUUAAANNNTTTUUUMMM CCCOOOMMMPPPUUUTTTAAATTTIIIOOONNN &&& IIINNNTTTEEELLLLLLIIIGGGEEENNNTTT SSSYYYSSSTTTEEEMMMSSS

Priority Investment Research Centre

University of Technology, Sydney

TTThhheee CCCeeennntttrrreee fffooorrr QQQUUUAAANNNTTTUUUMMM CCCOOOMMMPPPUUUTTTAAATTTIIIOOONNN &&& IIINNNTTTEEELLLLLLIIIGGGEEENNNTTT SSSYYYSSSTTTEEEMMMSSS

AAAnnnnnnuuuaaalll RRR eee ppp ooo rrr ttt 222 000 111 333

Priority Investment Research Centre

University of Technology, Sydney

All photos in this edition of the QCIS Annual Report are © QCIS, except:

QCIS wishes to thank Alex Green from Sydney Commercial Photography and Mr Mohsen Naderpour of QCIS-UTS for photos of the QCIS Five-Year Anniversary:

Pages 4, 5, 29-30 and 42

Photo of John Debenham "John the Movie Star" on page 7 provided privately.

© The Centre for Quantum Computation & Intelligent Systems, June 2014 Printed in June 2014 by UTS Printing Services, Sydney, Australia.

Our grateful thanks to Drew, Rebecca, Edna, Nash and all at UTS Printing Services.

QCIS Annual Report 2013

Table of contents

Foreword by Professor Attila Brungs (DVCR) iii

• Overview of the Centre for QCIS The Centre for Quantum Computation & Intelligent Systems 1 QCIS Mission, Vision and Objectives 1 QCIS History 1 QCIS Aims 2 QCIS Senior Management 2

Director: Professor Chengqi Zhang 2 Research Director: Distinguished Professor Mingsheng Ying 3

QCIS Management Committee 3 QCIS Core Members 3 QCIS Associate Members 4 QCIS Adjunct Professors 4 QCIS International Advisory Board 4 Five Year Goals: 2009-2014 5

2. Tribute to Professor John Debenham 6

3. QCIS Research Laboratories Data Sciences & Knowledge Discovery Laboratory 8 Decision Systems & e-Service Intelligence Laboratory 8 Innovation & Enterprise Laboratory 9 Knowledge Infrastructure Laboratory 10 Quantum Computation Laboratory 10 Advanced Analytics Institute 11

4. QCIS Research Achievements in 2013 List of Publications (ERA ranked A*/A papers: Journals and Conferences) 12 QCIS Publications at a Glance 20 Summary of ARC Grants 22 List of Other Grants (CRC, Industry and UTS) 24 QCIS Current Research Students 25 AAI Current Research Students 27 Graduated Research Students 27 Other research achievements 28 The First Five Years: QCIS's Five-Year Anniversary 29 QCIS Laboratory Workshops 31 QCIS Seminars 31 Visitors to QCIS 32

5 QCIS Key International University/Faculty Collaboration 33

6. Opportunities to collaborate with QCIS 30

7. Appendices

Appendix A: Detailed List of ARC Grants 35 Appendix B: List of Other Publications (those not listed above at pages 12-20) 41

Books and Edited Books 41 Book Chapters 41 Journal Special Issue 41 ERA ranked 'B' Journal papers 41 ERA ranked 'B' Conference papers 42

Appendix C: Professional Services for 2012 Key Fellowships in International Professional Organisations 43 Key roles in International Professional Organisations 43 Editorial Services for International Journals 43 Chairs for International Conferences 45 Keynote Speeches delivered at International Conferences 45

i


ii


Foreword

2013 marked an important milestone for the Centre for Quantum Computation & Intelligent Systems (QCIS) – its five-year anniversary. The Centre celebrated with an anniversary event held on 12 April 2013, hosted by the UTS Chancellor, Prof Vicki Sara. High-profile guests included the UTS Vice-Chancellor Prof Ross Milbourne; NSW Chief Scientist and Engineer Prof Mary O'Kane; and senior representatives from each of the UTS-QCIS joint research centres: Prof Yong Yang, Vice President of Huazhong University of Science and Technology; Prof Qinglin Wang, Director of the Beijing Institute of Technology's International Office; Prof Xiaokang Yang, Deputy Director, Institute of Image Communication & Information Processing, Shanghai Jiao Tong University; Prof Shunlong Luo, Vice-Director, Institute of Applied Mathematics, Academy of Mathematics & Systems Science; and Prof Xiaoyan Zhu, Tsinghua University. Other guests included QCIS Advisory Board members: Prof Samson Abramsky, Oxford University; Prof Philip S Yu, University of Illinois, USA; Prof Ah Chung Tsoi, Macau University of Science & Technology; and Prof Gerard Milburn, University of Queensland. During 2013, QCIS continued its world-class research in the areas of: 1. Quantum computation and quantum

information, focusing on fundamental, theoretical research in quantum software.

2. Data mining and knowledge discovery, decision making capabilities, cognitive agents; privacy issues; and risk management and financial services.

QCIS core members published over 110 papers globally in the most prestigious journals and conferences during 2013, including 69 journal papers, and 45 refereed conference papers. The Centre again attracted new funding for two further ARC Future Fellowships, four ARC

Discovery Grants, one Early Career Researcher Award, and one Linkage Infrastructure, Equipment and Facilities (LIEF) grant, giving QCIS a total of 29 on-going ARC grants. The successful ARC applicants were: • Four ARC Discovery project grants - Prof Chengqi Zhang, Dr Ling Chen and Prof Jian Pei - Prof Jie Lu, A/Prof Guangquan Zhang and Prof Witold Pedrycz - Prof Dacheng Tao, Dr Jun Li and Prof John S Shawe-Taylor - Prof Xingquan Zhu, Prof Chengqi Zhang and Prof Huan Liu • One ARC Discovery Early Career

Researcher Award – Dr Lu Qin • Two ARC Future Fellowships: - Prof Dacheng Tao - A/Prof Ivor W Tsang • One LIEF Grant to several partners,

including UTS QCIS researchers: - Prof Chengqi Zhang - Prof Xingquan Zhu - Prof Dacheng Tao - Dr Ling Chen In addition, A/Prof Paul Kennedy won an industry grant with the Cancer Institute of NSW, and QCIS has four on-going UTS grants. There were two staff promotions in 2013: Sanjiang Li was promoted to full Professor and Paul Kennedy was promoted to Associate Professor. Student achievements include the Chancellor's Award for best PhD dissertation in 2013 to Dr Weiming Liu. The Centre continued to attract high calibre students in 2013, with more than 70 in attendance. QCIS continues its industry partnerships with the Capital Markets CRC, Westpac, Centrelink, Coateshire, IBM Australia, the Children's Hospital at Westmead, amongst others. This Report outlines the Centre's significant achievements in 2013, and includes details about recent research, grants awarded, and major publications. It also outlines what the Centre can do for government and industry in both Australia, and overseas. I hope this Report will encourage interest in QCIS and inspire you to think about collaborative opportunities with QCIS now and in the future. Professor Attila Brungs Deputy Vice-Chancellor (Research) University of Technology, Sydney June, 2013

iii


1. Overview of the Centre The Centre for Quantum Computation & Intelligent Systems The "Centre for Quantum Computation & Intelligent Systems (QCIS)" is a Priority Investment Research Program within the University of Technology, Sydney. It was officially launched on 9 July 2009. The Centre has five associated research laboratories, and is located in UTS Building 10 at 235 Jones Street, Ultimo. The Centre is staffed by approximately twenty academic staff, 10 post-doctoral fellows, and over seventy research students. QCIS' Mission is: To be acknowledged by research centres throughout the world as a pre-eminent research centre in quantum computation and intelligent systems, and to be acknowledged by Australian industry and government as a leading source of knowledge and expertise in quantum computation and intelligent systems. The Vision of the QCIS Centre is to develop: • theoretical foundations for quantum

computation, • theoretical foundations for intelligent

Systems, and

• innovative technologies for intelligent systems.

From the Mission and Vision, the following Objectives for the Centre have become a major focus: 1. To progressively increase the quality of

research by publications and winning of national grants (quality).

2. To transform research output into major business domains (impact).

3. To provide research training by educating excellent research students and fellows (training).

4. To promote our international role (position).

The research outcomes from QCIS are applied to a broad range of industry and business areas, including finance, marketing, security, telecommunications, health, and government.

QCIS History The Centre for Quantum Computation & Intelligent Systems (QCIS) was officially established on 16 April 2008 by the UTS Council, along with four other priority investment research centres at the University of Technology, Sydney. The Centre grew out of the University's Smart E-Business Laboratory which was established in 2002 and led by Professor John Debenham. At the time, it comprised five groups: • e-Intelligence — A/Professor Shichao Zhang • e-Markets — Professor Simeon Simoff • e-Services –— Professor Jie Lu • e-Innovation — Professor Mary-Anne

Williams, and • e-Bioinformatics —A/Prof Paul Kennedy The Laboratory was incorporated into the University's Advanced Institute of Information and Communication Technology in 2002. In April 2007, the Laboratory became a Tier-One Centre: the Centre for Intelligent Information Systems (CIIS), with Professor Chengqi Zhang as its Director. On 16 April 2008, the UTS Council upgraded the CIIS centre to one of the University's five priority investment research centres. By that time, the Centre had opened a new laboratory, Quantum Computation, and the Centre was re-named the Centre for Quantum Computation & Intelligent Systems (QCIS). Professor Chengqi Zhang was appointed as the Director of the Centre, assisted by Professor John Debenham as Co-Director, and Professor Mingsheng Ying as Research Director. It now has five research laboratories:

• Data Sciences & Knowledge Discovery Laboratory (DSKD). Director: Dr Ling Chen.

• Decision Systems & e-Service Intelligence Laboratory (DeSI). Director: Professor Jie Lu.

• Innovation & Enterprise Research laboratory (the Magic Lab). Director: Professor Mary-Anne Williams.

• Knowledge Infrastructure Laboratory (KIL). Director: A/Professor Paul Kennedy.

• Quantum Computation Laboratory (QCL). Director: Professor Runyao Duan.

QCIS celebrated its five-year anniversary on 12 April, 2013 and the Centre has been extended to 2018.

1

QCIS Annual Report 2013 QCIS Aims • To strategically concentrate the

Centre’s research effort to maintain our status as a world leader in quantum computation and selected areas in intelligent systems.

• To maintain competitive grant income for the Centre at an exemplary level that is commensurate with the Centre’s size and profile.

• To establish and maintain an association between the QCIS brand and ‘excellence in leading research in quantum computation and intelligent systems’ in centres throughout the world.

• To establish and maintain an image of QCIS as a ‘centre which under-stands, and can solve the problems of Australian government and industry’ within the Centre’s focus areas.

• To maintain the technical and administrative support for members of the Centre at a level commensurate with the Centre’s profile.

QCIS Senior Management

QCIS Director:

Professor Chengqi Zhang Chengqi Zhang has been a Research Professor in Information Technology at The University of Technology, Sydney (UTS) since December 2001. Since April 2008 he has been the Director of the UTS Research Centre for Quantum Computation & Intelligent Systems. He has been Chairman of the Aust-ralian Computer Society's National Committee for Artificial Intelligence since November 2005. He obtained his PhD degree from the University of Queensland in 1991, followed by a Doctor of Science (DSc) (Higher Doctorate) from Deakin University in 2002.

Professor Zhang’s research interests mainly focus on Data Mining and applications. He has published more than 200 research papers. His most notable paper was published in “Artificial Intelligence” in 1992, the most prestigious journal in the Artificial Intelligence field. Furthermore, he has published many papers in first-class international journals, such as Artificial Intelligence, IEEE and ACM Transactions. He has delivered 14 keynote/invited speeches at international conferences over the last eight years. As a Chief Investigator, he has held eleven ARC Discovery and Linkage Grants to date, in conjunction with other Chief Investigators. Due to his outstanding research achievements, Professor Zhang received a 2011 NSW Science and Engineering Award in the Engineering, Information and Communications Technology category, and a 2011 UTS Vice-Chancellor’s Award for Research Excellence in the Leadership category. Professor Zhang was elected as Chairman of the Australian Computer Society's National Committee for Artificial Intelligence in November 2005. He was also elected as the Chairman of the Steering Committee of KSEM (International Conference on Knowledge Science, Engineering, and Management) in August 2006, and as a member of the Steering Committee for PRICAI (Pacific Rim International Conference on Artificial Intelligence) and PAKDD (Pacific-Asia Conference on Knowledge Discovery and Data Mining). In addition, Professor Zhang has been serving as an Associate Editor for three international journals, including IEEE Transactions on Knowledge and Data Engineering from 2005-2008. He served as General Chair, PC Chair, or Organising Chair for five international Conferences, including ICDM 2010 and WI/IAT 2008. He is also the General Co-Chair of KDD 2015, to be held in Sydney, and the Local Arrangements Chair for the International Joint Conference on Artificial Intelligence, 2017, to be held in Melbourne. He is a Senior Member of the IEEE Computer Society (IEEE) and a Fellow of the Australian Computer Society (ACS). From 2012-2014 he is an ARC College Member, serving on the Mathematics, Information and Computing Sciences panel.

2

QCIS Annual Report 2013 QCIS Senior Management (cont.)

Research Director: Distinguished Professor Mingsheng Ying

Distinguished Professor Mingsheng Ying joined QCIS in 2008. Prior to this, he was the Cheung Kong Chair Professor, and Research Director of the State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing, China. His research interests are quantum computation and quantum information, formal methods and semantics of programming languages, and foundations of artificial intelligence. He has published numerous papers in ERA ranked A* journals, such as ACM Transactions on Programming Languages and Systems, IEEE Transactions on Information Theory, IEEE Transactions on Software Engineer-ing, Artificial Intelligence, Physics Review Letters, etc, as well as top international conference including POPL and Concur. He is a world pioneer researcher in the quantum programming field. As Research Director of QCIS Professor Mingsheng Ying plays a key role in the management and future direction of the Centre. He is also centrally involved in the Quantum Computation Lab where his expertise in quantum programming is pivotal to the success of the Lab.

QCIS Management Committee • Adjunct Professor Paul Beinat • Professor Longbing Cao • Dr Ling Chen • Professor Runyao Duan • A/Prof Paul Kennedy • Professor Jie Lu • Professor Mary-Anne Williams • Professor Mingsheng Ying • Professor Chengqi Zhang • Ms Barbara Munday — Secretary QCIS Core Members • Dr Wei Bian • Associate Professor Michael Bremner • Professor Longbing Cao • Dr Ling Chen • Professor Runyao Duan • Associate Professor Yuan Feng • Dr Madhu Goyal • Dr Min-Hsiu Hsieh • Dr Farookh Hussain • Associate Professor Barry Jay • Dr Benjamin Johnston • A/Prof Paul Kennedy • Dr Ching-Yi Lai • Dr Jun Li • Associate Professor Sanjiang Li • Mr Guodong Long • Dr Hai Yan (Helen) Lu • Professor Jie Lu • A/Prof Pavlos Peppas • Dr Youming Qiao • Dr Lu Qin • Dr Zhenxing Qin • Professor Dacheng Tao • Dr Xun Wang • Professor Mary-Anne Williams • Distinguished Professor Mingsheng Ying • Professor Chengqi Zhang • Associate Professor Guangquan Zhang • Dr Peng Zhang • Dr Ying Zhang

3

QCIS Annual Report 2013 QCIS Associate Members • Mr Hans Bohlscheid, Centrelink, Australia • Professor Igor Hawryszkiewycz, School of

Systems, Management & Leadership, UTS, Australia

• Professor Xuezhong (Tony) He, School of Finance & Economics, UTS, Australia

• Prof Zhong Li, Fern University, Germany • Professor Javier Montero, Facultad de

Ciencias Matemáticas, Universidad Complutense de Madrid, Spain

• Professor Hui-Ming Wee, Engineering Department, Chung Yuan Christian University, Taiwan

• Prof Jian-Bo Yang, Manchester Business School, UK

• Professor Xianyi Zeng, ENSAIT Textile Institute, France

• Professor Hui-Ming Wee, Industrial Engineering Department, Chung Yuan Christian University, Taiwan

• Professor Xianyi Zeng, ENSAIT Textile Institute, France

• Professor Nong Zhang, School of Electrical, Mechanical & Mechatronic Systems, UTS, Australia

QCIS Adjunct Professors • Adjunct Professor Paul Beinat, CEO,

NeuronWorks Pty Ltd, Australia. • Adjunct Professor Daniel Catchpoole,

Bio-specimens Research & Tumour Bank, Children's Cancer Research Unit, The Kid's Research Institute, Children's Hospital, Westmead, Australia.

• Adjunct Professor Tony Cohn, University of Leeds.

• Adjunct Professor Usama Fayyad, Chief Executive Officer, Open Insights, USA.

• Adjunct Professor Hamido Fujita, Director of ARISES, Iwate Prefectural University (IPU), Japan

• Adjunct Professor Peter Gärdenfors, Lund University, Sweden.

• Adjunct Professor Tom Osborn, Chief Scientist, Brandscreen Pty Ltd, Australia.

• Adjunct Professor Witold Pedrycz, Department of Electrical & Computer Engineering, University of Alberta, Canada

• Adjunct Professor Carles Sierra, Artificial Intelligence Research Institute (IIIA), Spanish Research Council (CSIC), Spain.

QCIS Adjunct Professors (cont.)

• Adjunct Professor Simeon Simoff, Professor and Dean, School of Computing, Engineering & Mathematics, UWS, Australia.

• Adjunct Professor Philip S. Yu, Wexler Chair in Information Technology, University of Illinois at Chicago, USA.

QCIS International Advisory Board The aim of the QCIS International Advisory Board is to provide advice on the Centre's research directions, key research activities, and to anticipate and manage gradual changes in the Centre's active focus areas to take advantage of ongoing and future develop-ments. The members of the Board are: • Professor Samson Abramsky,

Christopher Strachey Professor of Computing, Oxford University, UK

• Professor Attila Brungs, DVC (Research), University of Technology, Sydney, Australia

• Professor Gerard Milburn, Director, ARC Centre of Excellence for Engineered Quantum Systems, The University of Queensland, Australia

• Professor Mary O'Kane, (Chair) NSW Chief Scientist and Scientific Engineer, Australia

• Professor Michelle Simmons, Director, ARC Centre of Excellence for Quantum Computation and Communication Technology, University of New South Wales, Australia

• Professor Ah Chung Tsoi, Dean, Faculty of Information Technology, Macau University of Science & Technology, Macau

• Professor Philip S Yu, Wexler Chair in Information Technology, University of Illinois at Chicago, USA

L-R: Prof Philip Yu, Prof Chengqi Zhang, Prof Attila Brungs, Prof Gerard Milburn, Prof Ah Chung Tsoi,

Prof Mary O'Kane

4

QCIS Annual Report 2013 Five Year Goals: 2009-2014 • To build a Centre of around 30 scientists, four

technical and support staff, and 60 research students and fellows who span the leading-edge of the Centre’s focus areas.

• To demonstrate the value of an international Advisory Board of scientists at the highest level who are chosen both to support the activities of QCIS and to identify new opportunities.

• To establish and maintain a level of competitive grant funding that exceeds that of most comparable centres in Australia.

• To demonstrate a publication record of a quality, and at a level of output, that compares most favourably with any comparable research centre in the world on a per capita basis.

• To demonstrate a research reputation that attracts high quality research students both locally and internationally.

• To demonstrate a consistently high reputation for the Centre through invitations to its members to present keynotes and invited talks, and to edit journals and special editions.

• To establish and develop active working links between all of the Centre’s focus areas and strategically chosen, high-profile research teams around the world.

• To be awarded an ARC Centre of Excellence (or a similar national research centre).

• To demonstrate that QCIS is a preferred and respected source of expertise by government and industry Linkage grants, consultancies, and other initiatives.

• To demonstrate that QCIS researchers are generally freed from unnecessary administrative work and have the equipment, software and technical assistance that they require.

QCIS 5-Year Anniversary Celebration: gUTSy,The Magic Lab Robot

gUTSy looking for someone to hug

And Success! Hugs for visitors from gUTSy

5


2. Tribute to Emeritus Professor John Debenham 23 June 1944 – 2 September 2013

In our memories, his spirit lives on.

A life fully lived, as John himself said:

"It's not how old is the model, but how many miles it has done; and I've done plenty of miles."

6


Tribute to Emeritus Professor John Debenham

QCIS Co-Director and mentor, Professor John Debenham, passed away on Monday, 2 September, 2013. It was a shock to his colleagues, friends and students, and he is sadly missed. A Celebration for the life of John was held on Wednesday, 2 October 2013 at UTS.

John's contribution to UTS — and to QCIS in particular — has been enormous. He was awarded his Bachelor Hons (1st class) in 1967 at Trinity College, Dublin, followed by his PhD from the University of Sydney in 1971. He joined UTS in 1972, and his career spanned 41 years in teaching, research, management and leadership. His most recent roles were Co-Director of QCIS and Emeritus Professor in the School of Software in FEIT. He was a highly visible figure on the international scene as a researcher, educator and guest professor, as well as a founding member of the Australian AI Committee, on the Board of Directors of the Australian Computer Society, and Vice-Chair of IFIP WG12.3 on Intelligent Agents. John worked in Artificial Intelligence for over thirty years. His interests progressed from logic programm-ing to knowledge-based design, to multi-agent systems, and recently, to market-based systems. His principal interest was in building intelligent agents to embed in real, information-rich marketplaces. Between 1985 and 1998 John worked on the design of expert, knowledge-based systems, which he reported in two research monographs, Knowledge Systems Design, Prentice-Hall, 1989, and Knowledge Engineering: Unifying Knowledge Base and Database Design, Springer-Verlag, 1998. From 1998 to 2002 he published extensively in the area of multi-agent systems to manage complex business processes. From 2002, his work concentrated on eNegotiation and argumentation agents. He was particularly interested in the design of agents that can exploit the information-rich environment of electronic markets. In collaboration with QCIS Adjunct Professor Carles Sierra (IIIA, Barcelona) he was pioneering the foundations of information-based agency. Later work focussed on the evolution of normative multi-agent systems in unstable environments. John received many ARC and other competitive research grants, and worked on a number of industry projects. He published hundreds of research papers, and chaired many research committees. He was a man of wide knowledge; he had integrity, broad vision, and great personal warmth. These attributes, along with his quirky sense of humour, made him widely liked by both staff and students. He was a strategic thinker, an excellent researcher, and he was brilliant, innovative and creative. His passing is an irreparable loss for QCIS, the School of Software and FEIT.

L-R: Prof Simeon Simoff, John, A/Prof Paul Kennedy

John the movie star

With Adj Prof Paul Beinat, friend and colleague

7


3. QCIS Research Laboratories Data Sciences & Knowledge Discovery Laboratory (DSKD Lab)

Director: Dr Ling Chen

The Data Sciences & Knowledge Discovery Lab (DSKD) aims to foster both theoretical and practical innovation in areas of data mining and knowledge discovery, pattern recognition, machine learning, data sciences, and agent based knowledge mining, interaction, and integration. The Lab is committed to conducting world-class research to provide solutions for real-world business problems and deliverables by examining data agility, discovering action-able knowledge, and disclosing business intelligence for smart business decisions. The objective of the DSKD Lab is to advance the theoretical knowledge discovery process, developing effective methodologies, techniques and tools to bridge the gap between academia and industry to enable businesses intelligence and smart decisions. DSKD has extensive experience in address-ing critical problems such as exceptional and constructive behaviour in governments, investment planning and advertising study in equipment hiring companies. The Lab has established solid connections through numerous research grants with industry and communities in the domains of social security, capital markets, banking, insurance, e-commerce and telecom. DSKD fosters practice-driven research and a workable development environment for research and development in data mining and knowledge discovery, pattern recognition, and machine learning, including image pro-cessing, multimedia, video surveillance, kernel methods, transfer learning, feature selection, domain driven data mining, multiple data source mining, stream data mining, uncertain data mining, graph data mining, and management and big data analytics. The Lab's achievements in 2013 include:

• Prof Dacheng Tao was elected as a

Fellow of the International Association of Pattern Recognition (IAPR); as a Fellow of the Optical Society of America (OSA); and, as a Life Fellow of the International Society of Optical Engineering (SPIE).

• DSKD was awarded the following ARC grants: two Future Fellowships (Prof

Dacheng Tao and A/Prof Ivor Tsang) one DECRA (Dr Lu Qin) three Discovery Project grants (Prof

Dacheng Tao and Dr Jun Li; Prof Chengqi Zhang and Dr Ling Chen; and Prof Xingquan Zhu and Prof Chengqi Zhang)

• Dr Lu Qin won a UTS Chancellor's Postdoc Research Fellowship.

Decision Systems and e-Service Intelligence Laboratory (DeSI Lab)

Director: Professor Jie Lu

The Decision Systems and e-Service Intelligence Laboratory (DeSI) focuses on development of theories, methods, software tools and applications in the areas of decision support systems, prediction and early warning systems, recommender systems for e-service personalisation, computational intelligence and uncertain information processes, fuzzy transfer learning and concept drift, situation aware-ness and risk management, and cloud computing optimisation. The Lab's application domains include organisational decision-making; material and new production development evaluations; financial, banking and social crisis prediction and early warning; resource management and planning; telecommunications and logistics customer service intelligence, and service integration of e-government, e-business, e-commence and e-learning. The DeSI Lab is highly successful in solving theoretical and methodological questions arising in the field of decision systems and e- service intelligence, but also actively commits

8

QCIS Annual Report 2013 DeSI Lab (cont.) to real-world problems of government and industry to improve business intelligence and support decision-making by the provision of powerful software tools. The key research areas are: • fuzzy multi-criteria and multi-level

decision-making • recommender systems • fuzzy transfer learning • soft-computing • concept drift • knowledge-based prediction and early

warning systems • risk analysis and situation awareness • emergence management and risk

analysis • e-business intelligence systems • e-government service personalisation • genetic algorithms • cloud computing and SaaS The DeSI Lab plays an important and successful role in integrating research with teaching. The Lab has established very successful, long-term research cooperation with a number of distinguished researchers in Canada, Belgium, Germany, Spain, France, Japan, USA, China and the UK. The lab has been involved in the organisation of two international conferences (FLINS and ISKE). DeSI has two new adjunct professors (CT Lin, Taiwan, W Pedrycz, Canada) and 12 associate members (seven professors from overseas universities and three from Australian organisations). It has organised 12 success-ful DeSI workshops over the last six years. Innovation and Enterprise Laboratory (The Magic Lab) The primary objective of the Innovation and Enterprise Research Laboratory (the Magic Lab) is to understand the process of innovation, and the role of information technology and the law in the adoption of innovative and entrepreneurial practice. Business needs to develop sustainable and high-performance innovation systems, and industry leaders recognise that emerging technologies have extraordinary potential to enhance business competitiveness, business performance, and business innovation. The Magic Lab has a strong technology focus. Led by Professor Mary-Anne Williams, the key research areas include: • Strategic Management • Technology enabled Business Innovation –

Disruptive Innovation

• Social Robotics • Risk Management and Decision Making • Knowledge Representation and

Reasoning • Law and Technology; Privacy, IP Law

and Computational Law • The Internet of Things

Director: Professor Mary-Anne Williams

In 2013, the Magic Lab achieved: • Chair, MIC Panel for ERA 2011-2013 • Alan Turing Lecture 2012, Esteemed

Speaker, Ed Feigenbaum, Stanford University and previously Chief Scientist of the US Air force. Streamed to the Internet, and received tweets from USTC. Organised with IBM.

• Dr Xun Wang received a Chancellor's Postdoctoral Fellowship.

• Dr Benjamin Johnston received a Chancellor's Postdoctoral Fellowship for the project: Self-configuring cognitive architecture.

• The Karachi Koalas 3D Robot Soccer Team ranked 5th at RoboCup 2013 and will compete in Brazil in 2014.

• Ms Wei Wang was awarded a prestigious IBM PhD Fellowship, 2012–2013: Social Network for Robots.

• Awarded Best Robot Video Prize for most Entertaining Video at the prestigious International Conference on AI 2013.

• Won the bid to host the 2014 International Social Robotics Conference in Sydney.

The Magic Lab research team has also achieved significant international recognition: it is represented on prestigious Editorial Boards, including: Artificial Intelligence Journal, and Social Robotics Journal. Researchers hold a Fellowship at Stanford University, a Guest Professorship at the University of Science and Technology China, senior positions in the Strategic Management Society, and invitations to the University of Cambridge, Harvard University, Stanford University, Copenhagen Business School and the Centre National de la Recherche Scientifique, France.

9

QCIS Annual Report 2013 Knowledge Infrastructure Laboratory (KIL)

Director: A/Prof Paul Kennedy

The mission of the Knowledge Infrastructure Laboratory (KIL) is to use knowledge as the infrastructure to support decision making. We do this in a number of ways, including by assisting clinicians and biologists in cancer diagnosis and treatment, building bioin-formatics pipelines to help biologists design vaccines for parasites and in development of new languages to support pattern matching. The KIL is composed of two research groups: Bio and Language. The core research of the laboratory involves how software can improve knowledge discovery and decision making in large, distributed open systems, especially in medicine, biology and web services. The Bio group, led by A/Prof Paul Kennedy, uses knowledge to support decisions in the medical and biological domains with a current focus on building data analytics pipelines to support knowledge discovery in biomedical and bioinformatics datasets, to better understand and diagnose childhood cancer and to identify biomolecules useful as vaccines for animal parasites. We also explore networks including metabolic networks, academic research networks and social networks. The Language group, led by A/Prof Barry Jay, uses knowledge to support smart data mining and knowledge representation with a focus on the Pattern Calculus, a theory that supports parametric, structure, inclusion, path and pattern polymorphism and the language, bondi. The KIL works with many external groups including The Children's Hospital at Westmead, local and international universities, research groups, companies and industry groups including Microsoft, Alcatel-Lucent (Bell Labs), Brandscreen Pty Ltd and the Institute of Analytic Professionals Australia.

Notable events for KIL in 2013:

• A/Prof Paul Kennedy won a 2013 Office of Learning and Teaching Citation for Outstanding Contributions to Student Learning for "a decade long contribution to data analytics teaching with an emphasis on creating authentic learning experiences for students to benefit their career progression".

• A/Prof Paul Kennedy was appointed as acting Head of the School of Software.

• Awarded 2013 Cancer Institute NSW Big Data Big Impact Grant entitled "Generating actionable knowledge from complex genomic data for personalised clinical decisions" (A/Prof Kennedy, Adj Prof Catchpoole, Adj. Prof Simoff and others)

• PhD students Ali Anaissi, Haydn Mearns, Ryan Heise and Hooman Homayounfard graduated.

• Articles in Sydney Morning Herald Brink section "Children to benefit from cancer data”, U: magazine and others.

• KIL members redeveloped and taught the Data Analytics major at both under-graduate and postgraduate levels, as well as presented several short courses in data mining and data analytics.

Quantum Computation Laboratory (QCL)

Director: Professor Runyao Duan The Quantum Computation Laboratory's mission is to study theoretical questions arising in the field of quantum computation and information, and to explore its power from the viewpoint of theoretical computer science and information theory. It aims to be a world leading research laboratory in this research field. Key research topics include quantum programming, quantum algorithms, and quantum information theory. The Lab is also interested in the field of Artificial Intelligence (AI) and aims to undertake research to discover possible connections between AI and quantum computing. In 2013 two excellent young researchers joined the QCLab: Dr Ching-Yi Lai, Research Associate, and Dr Youming Qiao, Lecturer.

10

QCIS Annual Report 2013 QC Lab (cont.) The Lab’s major achievements in 2013 include: • The QC Lab won a bid to host the 18th

Conference on Quantum Information Processing 2015 (QIP2015) from 12 to 16 January 2015. QIP is the premier international conference on the theoretical aspects of quantum information science. This conference, chaired by Prof Mingsheng Ying, will be the first QIP in Sydney and the second QIP in the Southern Hemisphere.

• UTS and Tsinghua University, Beijing, launched a UTS-Tsinghua Joint Research Centre on Quantum Computation and Artificial Intelligence in February 2013.

• Dr Weiming Liu (former PhD student supervised by Prof Sanjiang Li), won the Chancellor's Award for outstanding theses in 2013. His dissertation was entitled "Qualitative Constraint Satisfaction Problems: Algorithms, Computational Complexity, and Extended Framework".

• A/Prof Michael Bremner participated in an EPSRC Fellowship entitled "New in-sights in quantum algorithms and complex-ity" with CI Dr Ashley Montanaro (Bristol University) and PI Aram Harrow (MIT).

• A/Prof Michael Bremner, Prof Runyao Duan, and Dr Min-Hsiu Hsieh were invited to participate in the program "Mathematical Challenges in Quantum Information" at the Isaac Newton Institute for Mathematical Sciences, Cambridge University from Aug to Dec 2013.

The QCL members continued to publish and present high quality papers in international refereed journals and conference publications. Notable research progress in 2013 includes: • A/Prof Yuan Feng, Dr Nengkun Yu, and

Prof Mingsheng Ying introduced a novel model of quantum Markov chains, and initialised model checking of this model against a quantum extension of probabilistic computation tree logic (PCTL). The work was published in the Journal of Computer and System Sciences in 2013.

• Prof Sanjiang Li, Dr Weiming Liu and their collaborator Prof Shengsheng Wang proposed an extended framework for qualitative Constraint Satisfaction Problems that supports finite domains and investigated the computational complexity of solving the extended consistency problem for five very important qualitative calculi. The work

was published in Artificial Intelligence in 2013. • Dr Min-Hsiu Hsieh and his collaborators further

researched key topics in quantum Shannon theory and published a number of papers, including four in the prestigious IEEE Transactions on Information Theory.

• Dr Nengkun Yu (former visiting student from Tsinghua University, China), with Prof Runyao Duan and Prof Mingsheng Ying discovered that five two-qubit gates are the minimum requirement to implement the celebrated Toffoli gate and settled a conjecture in quantum computing. The work was published in Physical Review A as a rapid communication.

Advanced Analytics Institute (AAi)

Director: Professor Longbing Cao The Advanced Analytics Institute was established in March 2011 as a university research institute, affiliated with the faculties of Engineering and IT, Business, Science, Law and Health. AAi’s affiliation with QCIS is the result of its inaugural Director, Professor Longbing Cao, being a core member of QCIS and the previous Director of the Data Science and Knowledge Discovery (DSKD) Lab. In the three years since its inception, the Institute has carved a strong niche in the broad-based field of big data analytics and is widely recognised as the first collaboration preference for major businesses and government organisations. AAi is home to world-leading analytics researchers and has evolved a unique business model — RED Analytics. This three-dimensional initiative drives high quality research, high calibre analytics educat-ion, and high impact development. Though simple in concept, RED is a tightly integrated model that focuses on business vision and sophisticated bus-iness management. As such, AAi engages broadly with industry, government and academia to achieve strong partnerships while advancing theoretical innovation, education and training through a highly interdisciplinary, cross-domain approach. 2013 saw the Institute extend its profile and impact in key research areas and collaborations through the establishment of an international

11

QCIS Annual Report 2013 Advanced Analytics Institute (AAi) (cont.) research network in big data analytics, sponsored by the Australia-China Science Research Fund (ACSRF) with seven Chinese universities, including Peking University, Zhejiang University, Shanghai Jiaotong University, and the Australian India Council with four Indian universities, including IIT Madras. Several professional bodies have also been set up, including the IEEE Task Force on Data Sciences and Advanced Analytics, the IEEE Task Force on Behavioural, Economic and Socio-cultural Computing, and the ACM SIGKDD Australia and New Zealand Chapter, chaired by Professor Cao. In March 2013, AAi was the only research institution to receive special mention in the first Australian Government issues paper, “Big Data Strategy”, in which AAi’s contribution to a range of Government Departments, such as the ATO and DHS, and high profile businesses, such as

Westpac, AMP and Microsoft Research, were recognised. Additionally, although not mentioned by name, AAi was acknowledged in the ATO’s 2012-2013 Annual Report for its contribution to using data analytics to target debt-collection strategies by the Australian Taxation Office. AAi was heavily involved in the organisation of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, held in April on the Gold Coast, and the conference was co-chaired by Prof Cao. A Big Data Summit and Big Data School in Sydney and Canberra in April 2013 was organised by AAi and attracted more than 250 participants from government, business and academia. These events will be hosted annually as a result of their success; the next AAi Big Data Summit is scheduled for Spring 2014. More information about AAi can be found at their website: www.analytics.uts.edu.au

4. QCIS Research Achievements: 2013 List of Publications (ERA rank A*/A papers: Journals and Conferences) ERA rank A* Journal Papers 2014 1. Todd Brun, Igor Devetak & Min-Hsiu Hsieh.

2014. Catalytic quantum error correction. IEEE Transaction on Information Theory. Accepted on 12-March-2014.

2. Eric Chitambar, Runyao Duan & Min-Hsiu Hsieh. 2014. When Do Local Operations and Classical Communication Suffice for Two-Qubit State Discrimination? IEEE Transactions on Information Theory, vol. 60, no. 3, pp. 1549-1561.

3. Stephen J Goodswen, Paul J Kennedy & John T Ellis. 2014. Vacceed: a high-throughput in silico vaccine candidate discovery pipeline for eukaryotic pathogens based on reverse vaccinology. Bioinformatics. First published online: April 29, 2014.

4. Yi-Chan Lee, Min-Hsiu Hsieh, Steven T. Flammia & Ray-Kuang Lee. 2014. Local PT symmetry violates the no-signalling principle. Physical Review Letters, vol.112, pp.130404.

5. Zhifeng Li, Dihong Gong, Yu Qiao &

Dacheng Tao. 2014. Common Feature Discriminant Analysis for Matching Infrared Face Images to Optical Face Images. IEEE Transactions on Image Processing, vol. 23, no. 6, pp. 2436-2445.

6. Ning Lu, Guangquan Zhang & Jie Lu. 2014. Concept drift detection via competence models. Artificial Intelligence, vol.29, pp.11–28.

7. Mohsen Naderpour, Jie Lu & Guangquan Zhang. 2014. An Intelligent Situation Awareness Support System for Safety-Critical Environments. Decision Support Systems, vol. 59, pp. 325-340.

8. Weihua Ou, Xinge You, Dacheng Tao, Pengyue Zhang, Yuanyan Tang & Ziqi Zhu. 2014. Robust face recognition via occlusion dictionary learning. Pattern Recognition, vol. 47, no. 4, pp. 1559-1572.

9. Mark M. Wilde, Min-Hsiu Hsieh & Zunaira Babar. 2014. Entanglement-Assisted Quantum Turbo Codes. IEEE Transactions on Information Theory, vol.60, no. 2, pp. 1203-1222.

10. Jifei Yu, Xinbo Gao, Dacheng Tao, Xuelong Li & Kaibing Zhang. 2014. A Unified Learning Framework for Single Image Super-Resolution. IEEE Transact-ions on Neural Networks and Learning Systems, vol. 25, no. 4, pp. 780-792.

12

QCIS Annual Report 2013 ERA rank A* Journal Papers 2014 (cont.) 11. Jun Yu, Yong Rui & Dacheng Tao. 2014.

Click Prediction for Web Image Rerank-ing Using Multimodal Sparse Coding. IEEE Transactions on Image Process-ing, vol.23, no. 5, pp.2019-2032.

12. Nengkun Yu, Cheng Guo & Runyao Duan. 2014. Obtaining a W State from a Greenberger-Horne-Zeilinger State via Stochastic Local Operations and Classical Communication with a Rate Approaching Unity. Physical Review Letters, vol.112, no. 16, pp.160401.

2013 13. Khaled Amailef & Jie Lu. 2013. Ontology-

supported Case-based Reasoning Approach for Intelligent M-Government Emergency Response Services. Decision Support Systems, vol.55, no. 1, pp.79-97.

14. Jamshaid Ashraf, Omar Khadeer Hussain & Farookh Khadeer Hussain. 2013. A framework for measuring ontology usage on the web. The Computer Journal, vol.56, no. 9, pp.1083-1101.

15. Yongzhi Cao, Lirong Xia & Mingsheng Ying. 2013. Probabilistic Automata for Computing with Words. Journal of Computer and System Sciences, vol.79, no.1, pp.152-72.

16. Jun Cheng, Jiang Liu, Yanwu Xu, Fengshou Yin, Damon Wing Kee Wong, Ngan-Meng Tan, Dacheng Tao, Ching-Yu Cheng, Tin Aung & Tien Yin Wong. 2013. Superpixel Classification based Optic Disc and Optic Cup Segment-ation for Glaucoma Screening. IEEE Transactions on Medical Imaging, vol.32, no. 6, pp.1019-1032.

17. Nilanjana Datta & Min-Hsiu Hsieh. 2013. One-shot Entanglement-assisted Cassical Communication. IEEE Transaction on Information Theory, vol.59, no.3, pp.1929-39.

18. Nilanjana Datta, Min-Hsiu Hsieh & Mark M. Wilde. 2013. Quantum Rate Distortion, Reverse Shannon Theorems, and Source-channel Separation. IEEE Transaction on Information Theory, vol.59, no.1, pp.615-30.

19. Runyao Duan, Simone Severini & Andreas Winter. 2013. Zero-Error Communication via Quantum Channels, Noncommutative Graphs, and a Quantum Lovasz Number. IEEE Transaction on Information Theory, vol.59, no. 2, pp.1164-74.

20. Anhar Fazal, Farookh Khadeer Hussain & Tharam Dillon. 2013. An innovative approach for auto-matically grading spelling in essays using rubric-based scoring. Journal of Computer and System Sciences, vol.79, no. 7, pp.1040-1056.

21. Yuan Feng, Nengkun Yu & Mingsheng Ying.

2013. Model check-ing quantum Markov chains. Journal of Computer and System Sciences, vol.79, no.7, pp.1181-1198.

22. Xinbo Gao, Fei Gao, Dacheng Tao & Xuelong Li. 2013. Universal Blind Image Quality Assessment Metrics Via Natural Scene Statistics and Multiple Kernel Learning. IEEE Transactions on Neural Networks and Learning Systems, vol.24, no. 12, pp.2013-2026.

23. Weilong Hou, Xinbo Gao, Dacheng Tao & Xuelong Li. 2013. Visual saliency detection using information divergence. Pattern Recognition, vol.46, no. 10, pp.2658-2669.

24. Jun Li & Dacheng Tao. 2013. Simple Exponential Family PCA. IEEE Transactions on Neural Networks and Learning Systems, vol.24, no. 3, pp.485-497.

25. Jun Li & Dacheng Tao. 2013. Exponential Family Factors for Bayesian Factor Analysis. IEEE Transactions on Neural Networks and Learning Systems, vol.24, no. 6, pp.964-976.

26. Jun Li & Dacheng Tao. 2013. A Bayesian Hierarchical Factorization Model for Vector Fields. IEEE Transactions on Image Processing, vol.22, no. 11, pp.4510-4521.

27. Sanjiang Li, Weiming Liu & Shengsheng Wang. 2013. Qualitative constraint satisfaction problems: An extended framework with landmarks. Artificial Intelligence, vol.201, pp.32-58.

28. Weifeng Liu & Dacheng Tao. 2013. Multiview Hessian Regularization for Image Annotation. IEEE Transactions on Image Processing, vol.22, no. 7, pp.2676-2687.

29. Yong Luo, Dacheng Tao, Bo Geng, Chao Xu & Stephen J. Maybank. 2013. Manifold Regularized Multitask Learning for Semi-Supervised Multilabel Image Classification. IEEE Transactions on Image Processing, vol.22, no. 2, pp.523-536.

30. Yong Luo, Dacheng Tao, Chang Xu, Chao Xu, Hong Liu & Yonggang Wen. 2013. Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification. IEEE Transactions on Neural Networks and Learning Systems, vol.24, no. 5, pp.709-722.

31. Zhuowei Luo, Zechun Hu, Yonghua Song, Zhiwei Xu & Haiyan Lu. 2013. Optimal Coordination of Plug-in Electric Vehicles in Power Grids with Cost-Benefit Analysis ─ Part II: A Case Study in China. IEEE Transactions on Power Systems, vol.28, no. 4, pp.3546 - 3555.

32. Jun Ma, Jie Lu & Guangquan Zhang. 2013. A three-level-similarity measuring method of participant opinions in multiple-criteria group decision supports. Decision Support Systems, vol.59, pp.74-83.

13

QCIS Annual Report 2013 ERA rank A* Journal Papers 2013 (cont.) 33. Yang Mu, Wei Ding & Dacheng Tao. 2013.

Local discriminative distance metrics ensemble learning. Pattern Recognition, vol.46, no. 8, pp.2337-2349.

34. Li Niu, Jie Lu, Guangquan Zhang & Dianshuang Wu. 2013. FACETS: A Cognit-ive Business Intelligence System. Information Systems, vol.38, no. 6, pp.835-862.

35. Bingyue Peng, Junjie Wu, Hua Yuan, Qingwei Guo & Dacheng Tao. 2013. ANEEC: A Quasi-Automatic System for Massive Named Entity Extraction and Categorization. The Computer Journal, vol.56, no. 11, pp.1328-1346.

36. Miaojing Shi, Ruixin Xu, Dacheng Tao & Chao Xu. 2013. W-Tree Indexing for Fast Visual Word Generation. IEEE Transactions on Image Processing, vol.22, no. 3, pp.1209-1222.

37. Mingli Song, Dacheng Tao, Shengpeng Sun, Chun Chen & Jiajun Bu. 2013. Joint Sparse Learning for 3-D Facial Expression Generation. IEEE Transactions on Image Processing, vol.22, no. 8, pp.3283-3295.

38. Nannan Wang, Dacheng Tao, Xinbo Gao, Xuelong Li & Jie Li. 2013. Transductive Face Sketch-Photo Synthesis. IEEE Transactions on Neural Networks and Learning Systems, vol.24, no. 9, pp.1364-1376.

39. Xinchao Wang, Wei Bian & Dacheng Tao. 2013. Grassmannian Regularized Structured Multi-view Embedding for Image Classification. IEEE Transactions on Image Processing, vol.22, no. 7, pp.2646-2660.

40. Mark M. Wilde, Nilanjana Datta, Min-Hsiu Hsieh & Andreas Winter. 2013. Quantum rate distortion coding with auxiliary resources. IEEE Transaction on Information Theory, vol.59, no. 10, pp.6755-6773.

41. Xindong Wu, Kui Yu, Wei Ding, Hao Wang & Xingquan Zhu. 2013. Online Feature Selection with Streaming Features. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, no. 5, pp.1178-1192.

42. Bing Xiao, Xinbo Gao, Dacheng Tao & Xuelong Li. 2013. Biview face recognition in the shape–texture domain. Pattern Recognition, vol.46, no. 7, pp.1906-1919.

43. Jun Yu, Dacheng Tao, Yong Rui & Jun Cheng. 2013. Pairwise constraints based multiview features fusion for scene classification. Pattern Recognition, vol.46, no. 2, pp.483-496.

44. Chao Zhang & Dacheng Tao. 2013. Structure of Indicator Function Classes with Finite Vapnik-Chervonenkis Dimensions. IEEE Transactions on Neural Networks and Learn-ing Systems, vol.24, no. 7, pp.1156-1160.

45. Kaibing Zhang, Xinbo Gao, Dacheng Tao & Xuelong Li. 2013. Single Image Super-Resolution With Multiscale Similarity Learning. IEEE Transactions on Neural

Networks and Learning Systems, vol.24, no. 10, pp.1648-1659.

46. Tianyi Zhou & Dacheng Tao. 2013. Double Shrinking for Sparse Dimension Reduction. IEEE Transactions on Image Processing, vol.22, no. 1, pp.244-257.

ERA rank A Journal Papers 2014 1. Jamshaid Ashraf, Omar Khadeer Hussain &

Farookh Khadeer Hussain. 2014. Empirical analysis of domain ontology usage on the Web: eCommerce domain in focus. Concurrency and Computation: Practice and Experience, vol.26, no. 5, pp.1157-1184.

2. Cheng Deng, Rongrong Ji, Dacheng Tao, Xinbo Gao & Xuelong Li. 2014. Weakly Supervised Multi-Graph Learning for Robust Image Reranking. IEEE Transactions on Multimedia, vol.16, no. 3, pp.785-795.

3. Hai Dong & Farookh Khadeer Hussain. 2014. Self-Adaptive Semantic Focused Crawler for Mining Services Information Discovery. IEEE Transactions on Industrial Informatics, vol.10, no. 2, pp.1616-1626.

4. Yuan Feng, Yuxin Deng & Mingsheng Ying. 2014. Symbolic bisimulation for quantum processes. ACM Transactions on Computat-ional Logic. To appear in vol.15, no. 2.

5. Yifan Fu, Bin Li, Xingquan Zhu & Chengqi Zhang. 2014. Active Learning without Knowing Individual Instance Labels: A Pairwise Label Homogeneity Query Approach. IEEE Transactions on Knowledge and Data Engineering, vol.26, no. 4, pp.808-822.

6. Naiyang Guan, Lei Wei, Zhigang Luo & Dacheng Tao. 2014. Correction: Limited-Memory Fast Gradient Descent Method for Graph Regularized Nonnegative Matrix Factorization. PLoS ONE, vol.9, no. 1.

7. Ankit Gupta, Neeraj Kayal & Youming Qiao. 2014. Random Arithmetic Formulas Can Be Reconstructed Efficiently. Computational Complexity. Accepted in April 2014.

8. Rongrong Ji, Yue Gao, Richang Hong, Qiong Liu, Dacheng Tao & Xuelong Li. 2014. Spectral-Spatial Constraint Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol.52, no. 3, pp.1811-1824.

9. Yangjia Li & Mingsheng Ying. 2014. De-bugging quantum processes using monitoring measurements. Physical Review A, vol.89, no. 4. Published on Wed Apr 30, 2014.

10. Rongrong Ji, Yue Gao, Richang Hong, Qiong Liu, Dacheng Tao & Xuelong Li. 2014. Spectral-Spatial Constraint Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol.52, no. 3, pp.1811-1824.

14

QCIS Annual Report 2013 ERA rank A Journal Papers 2014 (cont.) 11. Yangjia Li & Mingsheng Ying. 2014.

Debugging quantum processes using monitoring measurements. Physical Review A, vol.89, no. 4. Published Apr 30, 2014.

12. Yangjia Li, Nengkun Yu & Mingsheng Ying. 2014. Termination of non-deterministic quantum programs. Acta Informatica, vol.51, no. 1, pp.1-24.

13. Weifeng Liu, Dacheng Tao, Jun Cheng & Yuanyan Tang. 2014. Multiview Hess-ian discriminative sparse coding for image annotation. Computer Vision and Image Understanding vol.118, pp.50-60.

14. Mohsen Naderpour, Jie Lu & Guangquan Zhang. 2014. A situation risk awareness approach for process systems safety. Safety Science, vol.64, pp.173-189.

15. Julwan Hendry Purba, Jie Lu, Guangquan Zhang & Witold Pedrycz. 2014. A fuzzy reliability assessment of basic events of fault trees through qualitative data processing. Fuzzy Sets and Systems, vol.243, pp.50-69.

16. Maoying Qiao, Jun Cheng, Wei Bian & Dacheng Tao. 2014. Biview Learning for Human Posture Segmentation from 3D Points Cloud. PLoS ONE, vol.9, no. 1, pp.e85811.

17. Huanfeng Shen, Xinghua Li, Liangpei Zhang, Dacheng Tao & Chao Zeng. 2014. Compressed Sensing-Based In-painting of Aqua Moderate Resolution Imaging Spectroradiometer Band 6 Using Adaptive Spectrum-Weighted Sparse Bayesian Dictionary Learning. IEEE Transactions on Geoscience and Remote Sensing, vol.52, no. 2, pp.894-906.

18. Nannan Wang, Dacheng Tao, Xinbo Gao, Xuelong Li & Jie Li. 2014. A Comprehensive Survey to Face Hallucin-ation. International Journal of Computer Vision, vol.106, no. 1, pp.9-30.

19. Jia Wu, Xingquan Zhu, Chengqi Zhang & Philip S. Yu. 2014. Bag Constrained Structure Pattern Mining for Multi-Graph Classification. IEEE Transactions on Knowledge and Data Engineering. Accepted on January 09, 2014.

20. Mingsheng Ying, Yangjia Li, Nengkun Yu & Yuan Feng. 2014. Model-Checking Linear-Time Properties of Quantum Systems. ACM Transactions on Computational Logic. scheduled to published in 2014, issue 3.

21. Lefei Zhang, Liangpei Zhang, Dacheng Tao & Xin Huang. 2014. Sparse Transfer Manifold Embedding for Hyperspectral Target Detection. IEEE Transactions on Geoscience and Remote Sensing, vol.52, no. 2, pp.1030-1043.

22. Lefei Zhang, Liangpei Zhang, Dacheng Tao,

Xin Huang & Bo Du. 2014. Hyperspectral Remote Sensing Image Subpixel Target Detection Based on Supervised Metric Learning. IEEE Transactions on Geoscience and Remote Sensing, vol.52, no.8, pp.4955-4965

2013 23. Ali Anaissi, Paul J Kennedy, Madhu Goyal &

Daniel R Catchpoole. 2013. A balanced iterative random forest for gene selection from microarray data. BMC bioinformatics, vol.14, no. 1, pp.1-10.

24. Vahid Behbood, Jie Lu & Guangquan Zhang. 2013. Fuzzy Bridged Refinement Domain Adaptation: Long Term Bank Failure Prediction. International Journal of Computational Intelligence and Applications, vol.12, no. 1, pp.1350003.

25. Vahid Behbood, Jie Lu & Guangquan Zhang. 2013. Fuzzy Refinement Domain Adaptation for Long Term Prediction in Banking Ecosystem. IEEE Transactions on Industrial Informatics, vol.10, no. 2, pp.1637-1646.

26. Eric Chitambar & Min-Hsiu Hsieh. 2013. Revisiting the optimal detection of quantum information. Physical Review A, vol.88, no. 2, pp.020302.

27. Nilanjana Datta, Min-Hsiu Hsieh, Mark M Wilde & Andreas Winter. 2013. Quantum-to-classical rate distortion coding. Journal of Mathematical Physics, vol.54, no.4, pp.042201.

28. Hai Dong & Farookh Khadeer Hussain. 2013. SOF: a semi-supervised ontology-learning-based focused crawler. Concurrency and Computation: Practice and Experience, vol.25, no.12, pp.1755-1770.

29. Hai Dong & Farookh Khadeer Hussain. 2013. Service-requester-centered service selection and ranking model for digital transportation. Computing Journal. Accepted 27 August 2013.

30. Hai Dong, Farookh Khadeer Hussain & Elizabeth Chang. 2013. Semantic Web Service matchmakers: state of the art and challenges. Concurrency and Computation: Practice and Experience, vol.25, no.7, pp.961-988.

31. Yuan Feng & Lijun Zhang. 2013. A tighter bound for the self-stabilization time in Herman's algorithm. Information Processing Letters, vol.113, no.13, pp.486-488.

32. Yifan Fu, Xingquan Zhu & A. K. Elmagarmid. 2013. Active Learning With Optimal Instance Subset Selection. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol.43, no.2, pp.464 - 475.

33. Ya Gao, Guangquan Zhang, Jie Lu & Jun Ma. 2013. A Bi-level Decision Model for Customer Churn Analysis. Computational Intelligence. published online: 20 MAR 2013.

15

QCIS Annual Report 2013 ERA rank A Journal Papers 2013 (cont.) 34. Stephen J Goodswen, Paul J Kennedy &

John T Ellis. 2013. A novel strategy for classifying the output from an in silico vaccine discovery pipeline for eukaryotic pathogens using machine learning algorithms. BMC bioinformatics, vol.14, no.1, pp.315.

35. Naiyang Guan, Lei Wei, Zhigang Luo & Dacheng Tao. 2013. Limited-Memory Fast Gradient Descent Method for Graph Regularized Nonnegative Matrix Factor-ization. PLoS ONE, vol.8, no.10, pp.e77162.

36. Naiyang Guan, Xiang Zhang, Zhigang Luo, Dacheng Tao & Xuejun Yang. 2013. Discriminant Projective Non-Negative Matrix Factorization. PLoS ONE, vol.8, no.12, pp.e83291.

37. Bin Li, Ling Chen, Xingquan Zhu & Chengqi Zhang. 2013. Noisy but Non-malicious User Detection in Social Recommender Systems. World Wide Web, vol.16, pp.677-699.

38. Jun Li, Wei Bian, Dacheng Tao & Chengqi Zhang. 2013. Learning colours from textures by sparse manifold embedding. Signal Processing, vol.93, no.6, pp.1485-1495.

39. Tao Liu, Perminder S Sachdev, Darren M Lipnicki, Jiyang Jiang, Guangqiang Geng, Wanlin Zhu, Simone Reppermund, Dacheng Tao, Julian N Trollor & Henry Brodaty. 2013. Limited relationships between two-year changes in sulcal morphology and other common neuroimaging indices in the elderly. NeuroImage, vol.83, pp.12-17.

40. Zhiguo Long & Sanjiang Li. 2013. A Complete Classification of Spatial Relations Using the Voronoi-based 9-intersection Model. International Journal of Geographical Inform-ation Science, vol.27, no.10, pp.2006-2025.

41. Jie Lu, Qusai Shambour, Yisi Xu, Qing Lin & Guangquan Zhang. 2013. A Web-based Personalized Business Partner Recommendation System Using Fuzzy Semantic Techniques. Computational Intelligence, vol.29, no.1, pp.37-69.

42. Ning Lu, Jie Lu, Hua Lin & Guangquan Zhang. 2013. A Customer Churn Prediction Model in Telecom Industry Using Boosting. IEEE Transactions on Industrial Informatics, vol.10, no.2, pp.1659-1665.

43. Sazia Parvin, Farookh Khadeer Hussain, Omar Khadeer Hussain, Thandar Thein & Jong Sou Park. 2013. Multi-cyber framework for availability enhancement of cyber physical systems. Computing, vol.95, no.10-11, pp.927-948.

44. Julwan Purba, Jie Lu, Da Ruan & Guangquan Zhang. 2013. An Area Defuzzification Technique to Assess Nuclear Event Reliability Data from Failure Possibilities. International Journal of Computational Intelligence and Applications, vol.11, no.4. Online publication date: 13-December-2012.

45. Fahimeh Ramezani, Jie Lu & Farookh

Khadeer Hussain. 2013. Task-Based System Load Balancing in Cloud Computing Using Particle Swarm Optimization. Inter-national Journal of Parallel Programming. Published online: 19 October, 2013.

46. Zia ur Rehman, Omar Khadeer Hussain & Farookh Khadeer Hussain. 2013. Parallel Cloud Service Selection and Ranking Based on QoS History. Inter-national Journal of Parallel Programming. Accepted on 4 October, 2013.

47. Hualei Shen, Dacheng Tao & Dianfu Ma. 2013. Dual-Force ISOMAP: A New Rele-vance Feedback Method for Medical Image Retrieval. PLoS ONE, vol.8, no.12, pp.e84096.

48. Hualei Shen, Dacheng Tao & Dianfu Ma. 2013. Multiview Locally Linear Embedding for Effective Medical Image Retrieval. PLoS ONE, vol.8, no.12, pp.e82409.

49. Siamak Tafavogh, Karla Felix Navarro, Daniel R. Catchpoole & Paul J. Kennedy. 2013. Non-parametric and Integrated Frame-work for Segmenting and Counting Neuro-blastic Cells within Neuroblastoma Tumor Images. Medical and Biological Engineering and Computing, vol.51, no.6, pp.645-655.

50. Dacheng Tao, Dianhui Wang & Fionn Murtagh. 2013. Machine learning in intelligent image processing. Signal Processing, vol.93, no.6, pp.1399-1400.

51. Mingsheng Ying, Nengkun Yu, Yuan Feng & Runyao Duan. 2013. Verification of quantum programs. Science of Computer Programming, vol.78, no.9, pp.1679-1700.

52. Shenggang Ying & Mingsheng Ying. 2013. Removing measurements from quantum walks. Physical Review A, vol.87, no.1, pp.012337.

53. Nengkun Yu, Runyao Duan & Mingsheng Ying. 2013. Five two-qubit gates are necessary for implementing the Toffoli gate. Physical Review A, vol.88, no.1, pp.010304.

54. Hanning Yuan, Meng Fang & Xingquan Zhu. 2013. Hierarchical Sampling for Multi-Instance Ensemble Learning. IEEE Transactions on Knowledge and Data Engineering, vol.25, no.12, pp.2900-2905.

55. Chao Zhang & Dacheng Tao. 2013. Risk bounds of learning processes for Lévy processes. The Journal of Machine Learning Research, vol.14, no.1, pp.351-376.

56. Liangpei Zhang, Lefei Zhang, Dacheng Tao & Xing Huang. 2013. Tensor Discriminative Locality Alignment for Hyperspectral Image Spectral-Spatial Feature Extraction. IEEE Transactions on Geoscience and Remote Sensing, vol.51, no.1, pp.242-56.

57. Lefei Zhang, Liangpei Zhang, Dacheng Tao & Xin Huang. 2013. A modified stochastic neighbor embedding for multi-feature dimension reduction of remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing, vol.83, pp.30-39.

16

QCIS Annual Report 2013 ERA rank A Conference Papers 2014 1. Lianhua Chi, Bin Li & Xingquan Zhu. 2014.

Context-Preserving Hashing for Fast Text Classification. SIAM International Conference on Data Mining (SDM14), Apr 24-26, 2014, Philadelphia, US, pp.100-108.

2. Meng Fang, Jie Yin & Dacheng Tao. 2014. Active Learning for Crowdsourcing Using Knowledge Transfer. The Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14), July 27–31, 2014, Québec City, Québec, Canada, Accepted.

3. Yuan Feng & Lijun Zhang. 2014. When Equivalence and Bisimulation Join Forces in Probabilistic Automata. 19th International Symposium on Formal Methods (FM), LNCS 8442, May 12-16, 2014, Singapore, pp.247-262.

4. Ting Guo & Xingquan Zhu. 2014. Super Graph Classification. The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 13-16 May, 2014, Tainan ,Taiwan, pp.323-336.

5. Xin Huang, Hong Cheng, Lu Qin, Wentao Tian & Jeffrey Xu Yu. 2014. Querying K-Truss Community in Large and Dynamic Graphs. Proceedings of ACM Conference on Management of Data (SIGMOD'14), June 22-27, 2014, Snowbird, Utah, USA, Accepted.

6. Preetinder Kaur, Madhu Goyal & Jie Lu. 2014. A Price Prediction Model for Online Auctions using Fuzzy Reasoning Techniques. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), July 6-11, 2014, Beijing, China, Accepted.

7. Jennifer Lai, Jie Lu, Shimei Pan, Danny Soroker, Mercan Topkara, Justin Weisz, Jeff Boston & Jason Crawford. 2014. Expediting expertise: supporting informal social learning in the enterprise. 19th International Conference on Intelligent User Interfaces, IUI 2014, February 24-27, 2014, Haifa, Israel, pp.133-142.

8. Pavlos Peppas & Mary-Anne Williams. 2014. Belief Change and Semiorders. Proceedings of the 14th International Conference on the Principles of Knowledge Representation and Reasoning (KR2014), July 20-24, 2014, Vienna, Austria, Accepted.

9. Lu Qin, Jeffrey Xu Yu, Lijun Chang, Hong Cheng, Chengqi Zhang & Xuemin Lin. 2014. Scalable Big Graph Processing in MapReduce. Proceedings of ACM Conference on Management of Data (SIGMOD'14), June 22-27, 2014, Snowbird, Utah, USA, Accepted.

10. Siamak Tafavogh, Meng Qinxue, Daniel R. Catchpoole & Paul J. Kennedy. 2014. Automated quantitative and qualitative analysis of the whole slide images of

Neuroblast-oma tumour for making prognosis decision. IASTED 11th International Conference on Biomedical Engineering, June 23 – 25, 2014, Zurich, Switzerland, Accepted.

11. Xiaoyang Wang, Ying Zhang, Wenjie Zhang & Xuemin Lin. 2014. Efficiently Identify Local Frequent Keyword Co-occurrence Patterns in Geo-tagged Twitter Stream. The 37th Annual ACM SIGIR CONFERENCE (SIGIR 2014), 6-11 July, 2014, Gold Coast, Australia, Accepted.

12. Dianshuang Wu, Guangquan Zhang & Jie Lu. 2014. A Fuzzy Tree Matching-Based Personalised E-Learning Recommender System. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), July 6-11, 2014, Beijing, China, Accepted.

13. Jia Wu, Zhihua Cai, Shirui Pan, Xingquan Zhu & Chengqi Zhang. 2014. Attribute Weighting: How and When Does It Work for Bayesian Network Classification. The 2014 International Joint Conference on Neural Networks (IJCNN), July 6-11, 2014, Beijing, China, Accepted.

14. Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Chengqi Zhang & Zhihua Ca. 2014. Multi-Graph Learning with Positive and Unlabeled Bags. SIAM International Conference on Data Mining (SDM14), 24-26 Apr, 2014, Philadelphia, US, pp.217-225.

15. Jia Wu, Shirui Pan, Zhihua Cai, Xingquan Zhu & Chengqi Zhang. 2014. Dual Instance and Attribute Weighting for Naive Bayes Classification. The 2014 International Joint Conference on Neural Networks (IJCNN), July 6-11, 2014, Beijing, China, Accepted.

16. Jia Wu, Xingquan Zhu, Chengqi Zhang & Zhihua Cai. 2014. Multi-Instance Learning from Positive and Unlabeled Bags. The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 13-16 May, 2014, Tainan,Taiwan, pp.237-248.

17. Haitham Yaish, Madhu Goyal & George Feuerlicht. 2014. Evaluating the performance of Multi-tenanat Elastic Extension Tables. International Conference on Computational Science, June 10-12, 2014, Cairns, Australia, Accepted

18. Haitham Yaish, Madhu Goyal & George Feuerlicht. 2014. Multi-tenanat Elastic Tables Data Management. International Conference on Computational Science, June 10-12, 2014, Cairns, Australia, Accepted

19. Chengyuan Zhang, Ying Zhang, Wenjie Zhang & Xuemin Lin. 2014. Diversified Spatial Keyword Search On Road Networks. 17th International Conference on Extending Database Technology (EDBT), March 24-28, 2014, Athens, Greece, pp.367-378.

20. Tiefeng Zhang, Guangquan Zhang, Jie Lu & Jianwei Gu. 2014. A Novel Evaluation Approach for Power Distribution System Planning based on Linear Programming

17

QCIS Annual Report 2013 ERA rank A Conference Papers 2014 (cont.) 21. Model and ELECTRE III. IEEE International

Conference on Fuzzy Systems (FUZZ-IEEE 2014), July 6-11, 2014, Beijing, China, Accepted.

22. Ying Zhang, Wenjie Zhang, Xuemin Lin, Muhammad Aamir Cheema & Chengqi Zhang. 2014. Matching Dominance: capture the semantics of dominance for multi-dimension-al uncertain objects. 26th International Conference on Scientific and Statistical Database Management (SSDBM), June 30 - July 2, 2014, Aalborg, Denmark, Accepted.

23. Zhiwei Zhang, Lu Qin & Jeffrey Xu Yu. 2014. Contract & Expand I/O Efficient SCCs Computing. Proceedings of the 30th International Conference on Data Engineering (ICDE'14), March 31-April 4, 2014, Chicago, USA, Accepted.

2013 24. Vahid Behbood, Jie Lu & Guangquan Zhang.

2013. Text categorization by fuzzy domain adaptation. 2013 IEEE International Conference on Fuzzy Systems (FUZZ), 7-10 July, 2013, Hyderabad, India, IEEE, pp.1-7.

25. Shan Chen & Mary-Anne Williams. 2013. Grounding Privacy-by-Design for Information Systems. Pacific Asia Conference on Information Systems (PACIS), June 18-22, 2013, Jeju Island, Korea, pp.107.

26. Jun Cheng, Jiang Liu, Dacheng Tao, Fengshou Yin, Damon Wing Kee Wong, Yanwu Xu & Tien Yin Wong. 2013. Superpixel Classification Based Optic Cup Segmentation. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013, September 22-26, 2013, Nagoya, Japan, Springer, pp.421-428.

27. Lianhua Chi, Bin Li & Xingquan Zhu. 2013. Fast Graph Stream Classification Using Discriminative Clique Hashing. The 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), April 14-17, 2013, Gold Coast, Brisbane, Australia, pp.225-236.

28. Cheng Deng, Rongrong Ji, Wei Liu, Dacheng Tao & Xinbo Gao. 2013. Visual Reranking through Weakly Supervised Multi-Graph Learning. IEEE International Conference on Computer Vision, ICCV 2013, December 1-8, 2013, Sydney, Australia, pp.2600-2607.

29. Hai Dong, Farookh Khadeer Hussain & Elizabeth Chang. 2013. UCOSAIS: A Framework for User-Centered Online Service Advertising Information Search. International Conference on Web Information Systems Engineering (WISE 2013), October 13-15, 2013, Nanjing, China, pp.267-276.

30. Meng Fang, Jie Yin & Xingquan Zhu. 2013.

Active exploration: simultaneous sampling and labeling for large graphs. Proceedings of the 22nd ACM internat-ional conference on Conference on information & knowledge management (CIKM), October 27 - November 1, 2013, San Francisco, CA, USA, pp.829-834.

31. Meng Fang, Jie Yin & Xingquan Zhu. 2013. Transfer Learning across Networks for Collective Classification. 2013 IEEE 13th International Conference on Data Mining (ICDM), December 7-10, 2013, Dallas, TX, USA, pp.161-170.

32. Meng Fang, Jie Yin & Xingquan Zhu. 2013. Knowledge Transfer for Multi-labeler Active Learning. Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2013, September 23-27, 2013, Prague, Czech Republic, pp.273-288.

33. Meng Fang, Jie Yin, Xingquan Zhu & Chengqi Zhang. 2013. Active Class Discovery and Learning for Networked Data. The 13th SIAM International Conference on Data Mining (SDM 2013), 2-4 May 2013, Austin, Texas, USA, pp.73-81.

34. Yuan Feng, Nengkun Yu & Mingsheng Ying. 2013. Reachability Analysis of Recursive Quantum Markov Chains. International Symposium on Mathematical Foundations of Computer Science (MFCS), August 26-30, 2013, Klosterneuburg, Austria, Springer Berlin Heidelberg, pp.385-396.

35. Ting Guo & Xingquan Zhu. 2013. Understanding the roles of sub-graph features for graph classification: an empirical study perspective. Proceedings of the 22nd ACM International conference on Conference on information & knowledge management (CIKM), October 27 - November 1, 2013, San Francisco, CA, USA, pp.817-822.

36. Ting Guo & Xingquan Zhu. 2013. Graph hashing and factorization for fast graph stream classification. Proceedings of the 22nd ACM International Conference on information & knowledge management (CIKM), October 27 - November 1, 2013, San Francisco, CA, USA, pp.1607-1612.

37. Hooman Homayounfard, Paul J. Kennedy & Robin Braun. 2013. NARGES: Prediction Model for Informed Routing in a Communi-cations Network. The 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), April 14-17, 2013, Gold Coast, Brisbane, Australia, pp.327–338.

38. Zhibin Hong, Xue Mei, Danil Prokhorov & Dacheng Tao. 2013. Tracking via Robust Multi-task Multi-view Joint Sparse Representation. IEEE International Conference on Computer Vision, ICCV 2013, December 1-8, 2013, Sydney, Australia, pp.649-686.

18

QCIS Annual Report 2013 ERA rank A Conference Papers 2013 (cont.) 39. Jing Jiang, Jie Lu, Guangquan Zhang &

Guodong Long. 2013. Optimal Cloud Resource Auto-scaling for Web Application. 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 13-16 May 2013, Delft, Netherlands, pp.58-65.

40. Jun Li & Dacheng Tao. 2013. A Bayesian factorised covariance model for image analysis. Proceedings of the Twenty-Third international joint conference on Artificial Intelligence, August 3-9, 2013, Beijing, China, AAAI Press, pp.1465-1471.

41. Chunyang Liu, Ling Chen & Chengqi Zhang. 2013. Mining Probabilistic Representative Frequent Patterns From Uncertain Data. The 13th SIAM International Conference on Data Mining (SDM 2013), May 2-4, 2013, Austin, Texas, USA, pp.73-81.

42. Chunyang Liu, Ling Chen & Chengqi Zhang. 2013. Summarizing probabilistic frequent patterns: a fast approach. The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2013), August 11-14, Chicago, IL, USA, pp.527-535.

43. Xiao Liu, Mingli Song, Dacheng Tao, Zicheng Liu, Luming Zhang, Chun Chen & Jiajun Bu. 2013. Semi-supervised node splitting for random forest construction. 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 25-27, 2013, Portland, Oregon, IEEE, pp.492-499.

44. Jie Lu & Mikael Johansson. 2013. Convergence analysis of primal solutions in dual first-order methods. IEEE Conference on Decision and Control(CDC 2013), December 10-13, 2013, Palazzo dei Congressi, Florence, Italy, pp.6861-6867.

45. Yong Luo, Dacheng Tao, Chang Xu, Dongchen Li & Chao Xu. 2013. Vector-valued multi-view semi-supervised learning for multi-label image classification. Twenty-Seventh AAAI Conference on Artificial Intelligence, July 14–18, 2013, Bellevue, Washington, USA, pp.647-653.

46. Tasneem Memon, Jie Lu & Farookh Khadeer Hussain. 2013. An Enhanced Mental Model Elicitation Technique to Improve Mental Model Accuracy. 20th International Conference on Neural Information Processing (ICONIP), November 3-7, 2013, Daegu, Korea, Lecture Notes in Computer Science , Springer, pp.82-89.

47. Tasneem Memon, Jie Lu, Farookh Khadeer Hussain & Rajan Rauniyar. 2013. Subject-Oriented Semantic Knowledge Warehouse (SSKW) to Support Cognitive DSS. On the Move to Meaningful Internet Systems: OTM 2013 Conferences - Confederated Internat-ional Conferences: CoopIS, DOA-Trusted Cloud, and ODBASE 2013, 9-13 September, 2013, Graz, Austria, Springer, pp.291-299.

48. Qinxue Meng & Paul J Kennedy. 2013.

Discovering influential authors in hetero-geneous academic networks by a co-ranking method. Proc of the 22nd ACM international conference on Conference on information & knowledge management, Oct 27 - Nov 1, 2013, San Francisco, CA, USA, ACM, pp.1029-1036.

49. Yang Mu, Wei Ding, Tianyi Zhou & Dacheng Tao. 2013. Constrained stochastic gradient descent for large-scale least squares problem. Proc of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, August 11-14, Chicago, IL, USA, ACM, pp.883-891.

50. Mohsen Naderpour & Jie Lu. 2013. A Hybrid Bayesian Network for Safety of Chemical Plants. 17th Pacific Asia Conference on Information Systems, PACIS 2013, June 18-22, 2013, Jeju Island, Korea, pp.1-12.

51. Mohsen Naderpour, Jie Lu & Guangquan Zhang. 2013. A fuzzy dynamic bayesian network-based situation assessment approach. 2013 IEEE International Conference on Fuzzy Systems (FUZZ), 7-10 July, 2013, Hyderabad, India, IEEE, pp.1-7.

52. Shirui Pan & Xingquan Zhu. 2013. Graph Classification with Imbalanced Class Distributions and Noise. Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), August 3-9, 2013, Beijing, China, pp.1586-1592.

53. Shirui Pan, Xingquan Zhu, Chengqi Zhang & Philip S. Yu. 2013. Graph Stream Classi-fication using Labelled and Unlabeled Graphs. The 29th IEEE International Conference on Data Engineering (ICDE 2013), 8-12 April 2013, Brisbane, Australia, pp.398-409.

54. Fahimeh Ramezani, Jie Lu & Farookh Hussain. 2013. Task Scheduling Optimization in Cloud Computing Applying Multi-Objective Particle Swarm Optimization. International Conference on Service Oriented Computing (ICSOC), December 2-5, 2013, Berlin, Germany, Springer, pp.237-251.

55. Steven Schockaert & Sanjiang Li. 2013. Combining RCC5 relations with between-ness information. Proceedings of the 23rd international joint conference on Artificial Intelligence, July 14-18, Bellevue, Washington, USA, AAAI Press, pp.1083-1089.

56. Siamak Tafavogh, Karla Felix Navarro, Daniel R. Catchpoole & Paul Kennedy. 2013. Segmenting Cellular Regions of Neuro-blastoma Tumor and Splitting Overlapping Cells Using Shortest Path between Convex Regions of Cell Contours. Artificial Intelligence in Medicine, May 29 - June 1, 2013, Murcia, Spain, Springer, pp.171-175.

57. Li Wan, Ling Chen & Chengqi Zhang. 2013. Mining Frequent Serial Episodes over Uncertain Sequence Data. The 16th International Conference on Extending Database Technology (EDBT 2013), March 18-22, 2013, Genoa, Italy, pp.215-226

19

QCIS Annual Report 2013 ERA rank A Conference Papers 2013 (cont.) 58. Li Wan, Ling Chen & Chengqi Zhang. 2013.

Mining Dependent Frequent Serial Episodes from Uncertain Sequence Data. 2013 IEEE 13th International Conference on Data Mining (ICDM), December 7-10, 2013, Dallas, TX, USA, pp.1211-1216.

59. Fei Wu, Xu Tan, Yi Yang, Dacheng Tao, Siliang Tang & Yueting Zhuang. 2013. Supervised Nonnegative Tensor Factorization with Maximum-Margin Constraint. Twenty-Seventh AAAI Conference on Artificial Intelligence, July 14–18, 2013, Bellevue, Washington, USA, pp.962-968.

60. Jia Wu, Zhihua Cai, Sanyou Zeng & Xingquan Zhu. 2013. Artificial immune system for attribute weighted Naive Bayes classification. The 2013 International Joint Conference on Neural Networks (IJCNN), August 4-9, 2013, Dallas, TX, USA, pp.1-8.

61. Jia Wu, Zhihua Cai & Xingquan Zhu. 2013. Self-adaptive probability estimation for Naive Bayes classificat-ion. The 2013 International Joint Conference on Neural Networks (IJCNN), Aug. 4-9, 2013, Dallas, TX, USA, pp.1-8.

62. Jia Wu, Xingquan Zhu, Chengqi Zhang & Zhihua Cai. 2013. Multi-instance Multi-graph Dual Embedding Learning. 2013 IEEE 13th International Conference on Data Mining (ICDM), December 7-10, 2013, Dallas, TX, USA, pp.827-836.

63. Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu & Ling Chen. 2013. LCARS: a location-content-aware recommender system. The 19th ACM SIGKDD International Conference

on Knowledge Discovery and Data Mining (KDD 2013), August 11-14, Chicago, IL, USA, pp.221-229.

64. Mingsheng Ying, Yuan Feng & Nengkun Yu. 2013. Quantum Information-Flow Security: Noninterference and Access Control. 2013 IEEE 26th Computer Security Foundations Symposium (CSF), 26-28 June 2013, New Orleans, Louisiana, USA, pp.130-144.

65. Shenggang Ying, Yuan Feng, Nengkun Yu & Mingsheng Ying. 2013. Reachability Probabilities of Quantum Markov Chains. 24th International Conference on Concurrency Theory (CONCUR 2013), August 27-30, 2013, Buenos Aires, Argentina, pp.334-348.

66. Tongtao Zhang, Rongrong Ji, Wei Liu, Dacheng Tao & Gang Hua. 2013. Semi-supervised learning with manifold fitted graphs. Proceedings of the Twenty-Third international joint conference on Artificial Intelligence, August 3-9, 2013, August 3-9, 2013, AAAI Press, pp.1896-1902.

67. Tianyi Zhou, Wei Bian & Dacheng Tao. 2013. Divide-and-Conquer Anchoring for Near-Separable Nonnegative Matrix Factorization and Completion in High Dimensions. 2013 IEEE 13th Internat-ional Conference on Data Mining (Best Student Paper Award), December 7-10, 2013, Dallas, TX, USA, IEEE, pp.917-926.

68. Tianyi Zhou & Dacheng Tao. 2013. Shifted Subspaces Tracking on Sparse Outlier for Motion Segmentation. Proceedings of the Twenty-Third international joint conference on Artificial Intelligence, August 3-9, 2013, August 3-9, 2013, AAAI Press, pp.1946-1952.

QCIS Publications at a Glance Statistics

ERA Rank 2009 2010 2011 2012 2013

ERA A* Journals 5 7 18 33 34

ERA A Journals 6 16 26 23 35

ERA A Conferences 8 29 37 48 44 Total 19 52 81 104 113

20


0

20

40

60

80

100

120

2009 2010 2011 2012 2013

Num

ber

Year

ERA A* Journals

ERA A Journals

ERA A Conference

$0

$500,000

$1,000,000

$1,500,000

$2,000,000

$2,500,000

2009 2010 2011 2012 2013 2014

Dolla

rs

Year

QCIS Publications at a Glance (cont.) ERA A*/A Publications Summary: 2009-2013 ARC Income: 2009-2014

Year 2009 2010 2011 2012 2013 2014

Dollars $1,013,851 $1,075,407 $1,316,453 $1,814,048 $1,970,723 $2,303,784

21

QCIS Annual Report 2013 Summary of ARC Grants in 2013 In 2013, there were a total of 22 continuing ARC grants, including 11 DP grants, four LP grants, and seven Future Fellow grants, as follows. As this Report goes to print, this has increased in 2014 and up-to-date details are included in the tables below.

No Project Title Project ID Chief Investigators Grant Year/ Amount

A R C D I S C O V E R Y G R A N T S 1 Multiple Data Source Discovery:

Group Interaction Approach DP0985456 Dr Shichao Zhang 2009: $115,000

2010: $70,000 2011: $70,000 2012: $85,000 2013: $70,000

2 Trust-enhanced Recommender Systems for Personalised Government-to-Business e-service.

DP110103733 Prof Jie Lu Prof Da Ruan Prof Jian-bo Yang

2011: $100,000 2012: $100,000 2013: $100,000

3 Process Algebra Approach to Distributed Quantum Computation and Secure Quantum Communication

DP110103473 Prof Mingsheng Ying A/Prof Yuan Feng A/Prof Rajagopal Nagarajan

2011: $100,000 2012: $100,000 2013: $100,000

4 Adaptive Cyber-physical Technologies with Attention Driven Commonsense Behaviours

DP120102876 Prof Mary-Anne Williams Prof Peter B Gardenfors

2012: $120,000 2013: $100,000 2014: $100,000

5 A General Bayesian Multi-linear Analysis Framework for Human Behaviour Analysis

DP120103730 Prof Dacheng Tao Prof Stephen J Maybank

2012: $133,000 2013: $120,000 2014: $125,000

6 Artificial Intelligence meets Wireless Sensor networks: Filling the Gaps be-tween Sensors using Spatial Reason-ing. Administering organisation: The Australian National University

DP120103758 A/Prof Jochen Renz A/Prof Matt Duckham Prof Sanjiang Li

2012: $120,000 2013: $100,000 2014: $100,000

7 Quantum Effects in Zero-error Communication

DP120103776 A/Prof Runyao Duan Prof Andreas J Winter

2012: $100,000 2013: $ 80,000 2014: $ 80,000

8 Approximate Reasoning with Qualitat-ive Spatial Constraints involving Landmarks

DP120104159 Prof Sanjiang Li A/Prof Jochen Renz Prof Anthony G Cohn

2012: $50,000 2013: $50,000 2014: $50,000

9 Modelling and discovering complex interaction relations hidden in group behavours in businesses, online and social communities

DP130102691 Prof Longbing Cao Prof Philip S Yu Prof Gerhard Weiss

2013: $120,000 2014: $120,000 2015: $120,000

10 Big data fast response: real-time classification of big data stream

DP130102748 Prof Xingquan Zhu Prof Ahmed K Almagarmid

2013: $105,000 2014: $105,000 2015: $105,000

11 Model-checking quantum Markov chains: towards verification tech-niques for quantum cryptographic systems

DP130102764 A/Prof Yuan Feng Prof Mingsheng Ying Prof Prakash Panangaden

2013: $110,000 2014: $110,000 2015: $110,000

12 Location-aware frequent pattern mining from uncertain spatial transaction data

DP140100545 Prof Chengqi Zhang Dr Ling Chen Prof Jian Pei

2014: $130,000 2015: $130,000 2016: $130,000

13 Fuzzy Transfer learning for prediction in data-shortage and rapidly changing systems

DP140101366 Prof Jie Lu A/Prof Guangquan Zhang Prof Witold Pedrycz

2014: $134,000 2015: $120,000 2016: $140,000

14 Nonlinear transfer distance metric learning for gleaning knowledge from the crowd

DP140102164 Prof Dacheng Tao Dr Jun Li; Prof John S Shawe-Taylor

2014: $140,000 2015: $120,000 2016: $140,000

15 Enabling a user-centric wisdom engine for big information network search

DP140102206 Prof Xingquan Zhu Prof Chengqi Zhang Prof Huan Liu

2014: $132,000 2015: $120,000 2016: $130,000

22

QCIS Annual Report 2013 Summary of ARC Grants in 2013 (cont.)

No Title & Partner Organisation Project ID Chief & Partner Investigators

Grant Year/ Amount

A R C D E C R A G R A N T S 16 Real-time query processing over multi-

dimensional uncertain data streams DE140100679 Dr Ying Zhang 2014: $131,740

2015: $131,740 2016: $131,740

17 Big graph processing in MapReduce DE140100999 Dr Lu Qin 2014: $131,740 2015: $131,740 2016: $131,740

A R C L I N K A G E G R A N T S 18 Detecting Significant changes in

Organisation-Customer interactions leading to non-compliance Partner Organisation: Centrelink

LP100200774 Prof Longbing Cao Prof Xingquan Zhu Prof Chengqi Zhang Mr Hans M Bohlsheid Dr Haifeng Zhang Mr Brett D Clark Dr Yanchang Zhao Mr Peter G Newbigin

2010: $ 50,000 2011: $100,000 2012: $100,000 2013: $ 50,000

19 Establishing a Next Generation frame-work to Determine the Influence of Intelligent Water Metering on House-holder Attitudes and Behaviours Partner Organisation: Mid Coast Water, Wide Bay Water Corp

LP110200767 Prof Stuart B White Dr Rodney A Stewart Prof Mary-Anne Williams Dr Damien P Giurco Dr Kelvin R O'Halloran

2011: $29,000 2012: $55,000 2013: $61,500 2014: $35,500

20 Mining Complex Concurrency Relation-ship Patterns for Dynamic Customer/ Asset Interaction Modelling through novel Industrial Behaviour Networks Partner Organisation: Coates Hire

LP120100566 Prof Chengqi Zhang Prof Longbing Cao Dr Ling Chen Mr David I Wisener Mr Donald R Halloran Mr Alan T Wang Mr Cameron Monk

2012: $140,000 2013: $120,000 2104: $120,000

21 A Framework for Physical and Social Collaboration: Towards the Smarter Planet Vision Partner Organisation: IBM Australia Ltd

LP120100659 Prof Mary-Anne Williams Mr Glenn Wightwick Dr Benjamin G Johnston

2012: $75,000 2013: $70,000 2014: $75,000

A R C L I E F G R A N T S 22 Flashlite: A high performance machine for

data intensive science LE140100061 Prof Chengqi Zhang

Prof Xingquan Zhu Prof Dacheng Tao Dr Ling Chen and others – see page 39

2014: $1,000,000

No Project Title Project ID Chief & Partner Investigators

Grant Year/ Amount

A R C F U T U R E F E L L O W S 23 Spatial Cognition – Expressive

Representation Formalisms and Effective Reasoning

FT0990811 Prof Sanjiang Li 2009: $85,800 2010: $171,600 2011: $171,600 2012: $171,600 2013: $85,800

24 Reasoning about, and step-wise development of Quantum Programs: A Predicate Transformer Semantics Approach

FT100100218 A/Prof Yuan Feng 2010: $70,748 2011: $140,297 2012: $140,297 2013: $140,297 2014: $69,549

25 Novel Data Mining Techniques for Complex Network Analysis and Control

FT100100971 Prof Xingquan Zhu 2010: $83,558 2011: $165,767 2012: $164,418 2013: $154,418 2014: $82,209

23

QCIS Annual Report 2013 Summary of ARC Grants in 2013 (cont.)

No Project Title Project ID Chief & Partner Investigators

Grant Year/ Amount

A R C F U T U R E F E L L O W S (cont.) 26 Supra-classical quantum simulation in

physically restricted models of quantum computation

FT110101044 A/Prof Michael J Bremner

2011: $78,788 2012: $149,354 2013: $142,354 2014: $142,354 2015 : $70,566

27 A mathematical foundation and novel solutions for highly secure communication.

FT120100449 Prof Runyao Duan 2012: $85,378 2013: $169,460 2014: $169,460 2015: $169,460 2016: $84,082

28 Big data machines: Internet-scale machine learning techniques to combat the curse of big data

FT130100746 A/Prof Ivor Tsang 2013: $ 82,929 2014: $158,904 2015: $153,404 2016: $153,404 2017: $ 75,975

29 Multiview complete space learning for sparse camera network research

FT130101457 Prof Dacheng Tao 2013: $123,393 2014: $234,036 2015: $224,036 2016: $224,036 2017: $110,643

List of other Grants (CRC, Industry, UTS)

No Project Title Project ID Chief Investigators Grant Year/ Amount

OTHER INDUSTRY GRANTS 1 Generating actionable knowledge from

complex genomic data for personalised clinical decisions. Cancer Institute NSW Big Data Big Impact Grant

N/A A/Prof Paul Kennedy A/Prof Daniel Catch-poole, Dr Quang Vinh Nguyen, Dr Karla Felix Navarro, Prof Simeon Simoff, A/Prof Jinyan Li, Prof Toni Robertson,

2013-14: $60,000

UTS GRANTS 1 Enabling information retrieval across

multiple information sources ECRG Dr Bin Li 2012-13: $24,098

2 Early detection of hazardous social events through automatic social media data analysis

ECRG Dr Ling Chen 2012-13: $24,690

3 Quantum lossy data compression ECRG Dr Min-Hsiu Hsieh 2013: $24,812 4 Determining of Contact Frequency and

Offer Selection Algorithms to Optimise Loyalty Direct Marketing Activities Directed at Individual Qantas Frequent Flyer Member, Qantas Airways Ltd.

Partnership Grant

Prof Longbing Cao 2012: $24,000 2013: $24,000

5 Traffic Scene Understanding for Automated Vehicles with Focus on Freeway Merging Maneuvers Toyota Motor Engineering and Manufacturing North America, Inc

2013001793 Prof Dacheng Tao 2014-2015: $167,017

24

QCIS Annual Report 2013 Students (Current and Graduated) QCIS Current research students

Student Name Supervisors Admission date PhD / Masters

Mr Changxing Ding Prof Dacheng Tao August 2012 PhD Mr Meng Fang * Prof Dacheng Tao July 2011 PhD Mr Mingming Gong Prof Dacheng Tao August 2012 PhD Mr Zhibin Hong Prof Dacheng Tao July 2011 PhD Mr Weilong Hou Prof Dacheng Tao September 2013 PhD Visitor Mr Shaoli Huang Prof Dacheng Tao July 2013 PhD Mr Qiang Li Prof Dacheng Tao April 2013 PhD Ms Xiaoyan Li Prof Dacheng Tao October 2012 PhD Visitor Mr Tongliang Liu Prof Dacheng Tao August 2012 PhD Ms Maoying Qiao Prof Dacheng Tao July 2012 PhD Mr Wang Ruxin Prof Dacheng Tao March 2013 PhD Mr Hao Xiong Prof Dacheng Tao February 2014 PhD Mr Chang Xu Prof Dacheng Tao September 2013 PhD Visitor Mr Zhe Xu Prof Dacheng Tao July 2013 PhD Mr Tianyi Zhou Prof Dacheng Tao February 2011 PhD Mr Ting Guo * Prof Chengqi Zhang March 2012 PhD Ms Guohua Liang Prof Chengqi Zhang March 2005 PhD P/T Mr Guodong Long * Prof Chengqi Zhang January 2011 PhD Mr Shirui Pan * Prof Chengqi Zhang July 2011 PhD Mr Jia Wu * Prof Chengqi Zhang August 2012 PhD Mr William Wu ** Prof Chengqi Zhang July 2005 PhD P/T Mr Xueping Peng Prof Chengqi Zhang/Dr Ling Chen March 2012 PhD Ms Lianhua Chi * Dr Ling Chen February 2013 PhD Mr Bozhong Liu Dr Ling Chen July 2013 PhD Mr Chunyang Liu Dr Ling Chen March 2012 PhD Mr Haishuai Wang Dr Ling Chen July 2013 PhD Ms Shanshan Wu Dr Ling Chen August 2008 PhD P/T Mr Tian (Roger) Xia Dr Ling Chen January 2014 PhD P/T Ms Asma Alkalbani Dr Farookh Hussain March 2014 PhD Mr Ali Braytee Dr Farookh Hussain January 2014 PhD Ms Supannada Chotipant Dr Farookh Hussain March 2012 PhD Ms Quynh Do Dr Farookh Hussain March 2014 PhD Mr Walayat Hussain Dr Farookh Hussain January 2014 PhD Mr Rajan Rauniyar Dr Farookh Hussain October 2013 PhD Mr Abraham Rintu Dr Farookh Hussain February 2013 MA Mr Jawahar Yadav Dr Farookh Hussain March 2013 MA P/T Mr Peng Hao A/Prof Guangquan Zhang August 2013 PhD Ms Hua Lin A/Prof Guangquan Zhang January 2009 PhD P/T Mr Anjin Liu A/Prof Guangquan Zhang July 2013 PhD Mr Yonggang (Frank) Zhang A/Prof Guangquan Zhang January 2011 PhD Ms Hua Zuo A/Prof Guangquan Zhang February 2014 PhD Mr Wei Tao A/Prof Guangquan Zhang July 2009 PhD P/T Mr Dianshuang Wu A/Prof Guangquan Zhang January 2011 PhD

Ms Jie Wu A/Prof Guangquan Zhang/Dr Helen Lu December 2013 PhD Visitor

Mrs Malak Al-Hassan Prof Jie Lu/Dr Helen Lu February 2008 PhD Mr Weigang Zhao Prof Jie Lu/Dr Helen Lu October 2013 PhD Visitor Ms Hongshu Chen Prof Jie Lu July 2011 PhD Ms Nur Atiqah Rochin Binti Demong Prof Jie Lu August 2009 PhD

Mr Fan Dong Prof Jie Lu August 2013 PhD Mr Jialin Han Prof Jie Lu August 2013 PhD Ms Jing (Jenny) Jiang Prof Jie Lu April 2010 PhD Mr Mingsong Mao Prof Jie Lu July 2011 PhD Mr Tasneem Memon Prof Jie Lu August 2009 PhD Mr Mohsen Naderpour Prof Jie Lu March 2011 PhD Ms Fahimeh Ramezani Prof Jie Lu January 2012 PhD

* Supervised by Prof Xingquan Zhu in 2013. ** Supervised by A/Prof Shichao Zhang in 2013.

25

QCIS Annual Report 2013 QCIS Current research students (cont.)


Mr Wei Wang Prof Jie Lu August 2012 PhD Dr Junyu Xuan Prof Jie Lu August 2012 PhD Mr Yi Zhang Prof Jie Lu March 2010 PhD P/T Mr Zhen Zhang Prof Jie Lu September 2012 PhD Visitor Mr Abdulah Alqahtani Dr Helen Lu July 2009 PhD Mr Reza Mashhadifarahani Khanmohammadi Dr Helen Lu January 2013 Master’s

Ms Preetinder Kaur Dr Madhu Goyal March 2010 PhD Mr Haitham Yaish Dr Madhu Goyal April 2011 PhD Mr Syed Shaukat Raza Abidi Prof Mary-Anne Williams March 2012 PhD Mr Muh Anshar Prof Mary-Anne Williams January 2012 PhD Ms Shan Chen Prof Mary-Anne Williams April 2007 PhD P/T Mr Robert Lang Prof Mary-Anne Williams February 2012 PhD P/T Mr Daniel Cowen Prof Mary-Anne Williams March 2014 PhD Mr Rony Novianto Prof Mary-Anne Williams March 2008 PhD Mr Pramod Parajuli Prof Mary-Anne Williams January 2011 PhD Ms Mahya Poueinag Prof Mary-Anne Williams August 2013 PhD Mr Nima T Ramezani Prof Mary-Anne Williams February 2012 PhD Mr Syed Ali Raza Prof Mary-Anne Williams April 2014 PhD Mr Sylvan Ruddock Prof Mary-Anne Williams March 2009 PhD Mr David So Prof Mary-Anne Williams February 2012 PhD Mr Jonathon Vitale Prof Mary-Anne Williams July 2013 PhD Ms Wei Wang Prof Mary-Anne Williams March 2010 PhD Mr Alireza Ahadi A/Prof Paul Kennedy August 2012 PhD Mr Stephan Curiskis A/Prof Paul Kennedy February 2014 PhD Mr Hamid Ghous A/Prof Paul Kennedy July 2009 PhD Mr Qinxue (Max) Meng A/Prof Paul Kennedy February 2011 PhD Mr Siamak Tafavogh A/Prof Paul Kennedy July 2010 PhD Mr Haydn Mearns Prof John Debenham January 2009 PhD Mr Jose A Vegara-Medina A/Prof Barry Jay July 2009 PhD Mr Cheng Guo Prof Runyao Duan August 2010 PhD Mr Caishi Fang Prof Mingsheng Ying September 2013 PhD Mr Weien Chen A/Prof Yuan Feng December 2013 PhD Visitor Mr Zhaofeng Su A/Prof Yuan Feng August 2012 PhD Mr Zhiwei Sun A/Prof Yuan Feng January 2013 PhD Mr Shenggang Ying A/Prof Yuan Feng February 2012 PhD Visitor Mr Yi-chan Lee Dr Min-Hsiu Hsieh April 2013 PhD Visitor Mr Zhiguo Long Prof Sanjiang Li February 2012 PhD Visitor

QCIS Happy Hour, 31 October 2013. 26

QCIS Annual Report 2013 AAI Current research students


Mr Wei Cao Prof Longbing Cao August 2011 PhD Mr Yonghua Cen Prof Longbing Cao March 2011 PhD Ms Xia Cui Prof Longbing Cao January 2011 PhD Mr Xuhui Fan Prof Longbing Cao August 2010 PhD Mr Xinxin Jiang Prof Longbing Cao January 2013 PhD Mr FangFang Li Prof Longbing Cao August 2012 PhD Mr Mu Li Prof Longbing Cao August 2011 PhD Mr Chunming Liu Prof Longbing Cao September 2011 PhD P/T Mr Wei Wei Liu Prof Longbing Cao July 2011 PhD Mr Xiuangfu Meng Prof Longbing Cao October 2013 PhD Mr Peerapol Moemeng Prof Longbing Cao September 2011 PhD P/T Mr Zhong She Prof Longbing Cao August 2011 PhD Mr Yin Song Prof Longbing Cao August 2010 PhD Mr S Prasad B Vatsan Prof Longbing Cao January 2013 MA P/T Mr Wei (David) Wei Prof Longbing Cao/Assoc Prof Jinyan Li July 2011 PhD Mr Hui Xu Prof Longbing Cao October 2013 PhD Mr Junfu Yin Prof Longbing Cao August 2010 PhD Mr Dong Yu Prof Longbing Cao March 2013 PhD Ms Ziye Zuo Prof Longbing Cao July 2012 PhD Mr Shameek Ghosh Assoc Prof Jinyan Li August 2013 PhD Ms Mayanne Lafontaine Assoc Prof Jinyan Li March 2013 MA P/T Ms Jing Ren Assoc Prof Jinyan Li September 2012 PhD Ms Renhua Song Assoc Prof Jinyan Li August 2012 PhD Ms Qianqian Chen Dr Guandong Xu September 2013 MA Mr Anand Chinchore Dr Guandong Xu July 2013 MA Mr Bin Fu Dr Guandong Xu July 2013 PhD Mr Liang Hu Dr Guandong Xu February 2014 PhD Visitor Mr Jingyu Shao Dr Guandong Xu August 2013 MA Mr Po Chun Chang Assoc Prof Jian Zhang February 2012 MA Mr Hao Cheng Assoc Prof Jian Zhang September 2013 MA Ms Ying Cui Assoc Prof Jian Zhang July 2013 PhD Visitor Mr Dongyan Guo Assoc Prof Jian Zhang July 2013 PhD Visitor Mr Shangrong Huang Assoc Prof Jian Zhang February 2013 PhD Mr Yucheng Wang Assoc Prof Jian Zhang September 2013 PhD Mr Jingsong Xu Prof Longbing Cao September 2012 PhD

Graduated students The following research students graduated in 2013:

Student Name Degree Year Principal Supervisor Q C I S

Dr Ahmad Aloqaily PhD May 2013 A/Prof Paul Kennedy Dr Jebrin Al-Sharawneh PhD May 2013 Prof Mary-Anne Williams Dr Ali Anaissi PhD October 2013 Dr Madhu Goyal Dr Vahid Behbood PhD May 2013 Prof Jie Lu Dr Wei Bian PhD May 2013 Prof Dacheng Tao Dr Weiming Liu PhD October 2013 Prof Sanjiang Li Dr Ning (Philip) Lu PhD October 2013 Prof Jie Lu Dr Thi Thanh Sang Nguyen PhD October 2013 Prof Jie Lu / Dr Helen Lu Dr Julwan Hendry Purba PhD October 2013 Prof Jie Lu Dr Guoxin Su PhD October 2013 Prof Mingsheng Ying Dr Franco Ubaudi PhD October 2013 A/Prof Paul Kennedy Dr Tao Wang PhD October 2013 Prof Chengqi Zhang

A A I Dr Hans-Michael Bohlschedi PhD May 2013 Prof Longbing Cao Dr Jia Hang Chen PhD May 2013 Prof Longbing Cao Dr Jinju Li PhD October 2013 Prof Longbing Cao Dr Can Wang PhD May 2013 Prof Longbing Cao

27

QCIS Annual Report 2013 Other research achievements Prof Jie Lu became PI for the Spanish

Science Foundation project: "Decision aid with fuzzy information and multiple criteria – application to disaster management (TIN2012-32482) from 1 Jan 2013 to 31 Dec 2015. The project will be led by Complutense University of Madrid.

Prof Dacheng Tao was elevated to a Fellow of: International Association of Pattern Recognition (IAPR); the British Computer Society; and the IET/IEE.

Prof Dacheng Tao was elected as a: • Life Fellow of the International Society

of Optical Engineering (SPIE) • Fellow of the Optical Society of

America (OSA) Prof Dacheng Tao won an Industry Grant

funded by Toyota Engineering and Manufacturing North America, Inc.

Prof Dacheng Tao was ranked in the highly cited list of authors in the 2013 Shanghai Jiaotong University (SJTU) ranking.

Dr Wei Bian received a Chancellor's Post-Doctoral Fellowship for 2013.

Ms Wei Wang (Magic Lab) won an IBM PhD Fellowship Award for 2013-14. Ms Wang is the first woman in Australia to win this award to date.

Mr Tianyi Zhou, Mr Wei Bian and Prof Dacheng Tao won "Best Student Paper" award at ICDM 2013.

Prof Mary-Anne Williams, Dr Xun Wang, Mr Shaukat Abedi, Ms Michelle Youssef, Mr Wei Wang and Mr Pramod Parajuli produced a video, The Fugitive, that won the "most entertaining autonomous robotics video" for the AI Video Competition at the International Joint Conference on AI (IJCAI) 2013.

The Karachi Koalas were ranked 5th at the 2013 International Robot Soccer World Cup, at Eindhoven, The Netherlands. The Karachi Koalas are the Innovation & Enterprise Lab's (Magic Lab's) robot soccer team.

Prof Mary-Anne William's Innovation & Enterprise Lab has won the bid to host the 2014 International Social Robotics Conference at UTS in Sydney.

Prof Mary-Anne Williams presented a half-day Master Class on: Social Robots – our charismatic friends in an automated future? through the UTS Creative Industries Innovation Centre (CIIC) on 11 July 2013. The successful event focussed on robots in our homes, our workplaces and our dreams, looking at the disruptive innovation that will challenge society like never before. Thirty people attended.

Prof Runyao Duan's Quantum Computation

Lab has won the bid to host QIP2015 (Conference on Quantum Information Processing) at UTS in January 2015.

New staff member Dr Lu Qin was awarded a UTS Chancellor's Post-doctoral Research Fellow.

The following new Joint Research Centres were established over the 2013 period: • The joint Research Laboratory for The

Joint Research Centre for Quantum Computation and Artificial Intelligence between UTS and Tsinghua University

• The Joint Research Centre for Cyber-Physical Authentication between UTS and Huazhong University of Science and Technology.

QCIS was awarded four ARC Discovery Project grants, one ARC DECRA grant, one ARC LIEF grant and two ARC Future Fellowships: • DP grants:

- Prof Chengqi Zhang, Dr Ling Chen and Prof Jian Pei

- Prof Jie Lu, A/Prof Guangquan Zhang, Prof Witold Pedrycz

- Prof Dacheng Tao, Dr Jun Li, Prof John S Shawe-Taylor

- Prof Xingquan Zhu, Prof Chengqi Zhang, Prof Huan Liu

• DECRA grant: Dr Lu Qin • LIEF grant: Prof Chengqi Zhang, Prof

Xingquan Zhu, Prof Dacheng Tao, Dr Ling Chen (and others – see page 39 for a full list).

• Future Fellowships were awarded to A/Prof Ivor Tsang, and Prof Dacheng Tao.

QCIS core members held eight key Fellowships and seven other key roles in international professional organisations (see Appendix C for details).

QCIS core members have undertaken key Editorial Service roles for37 international journals (see Appendix C for details).

QCIS core members have chaired two high-profile, international conferences (see Appendix C for details).

QCIS core members have delivered two keynote speeches at international confer-ences in 2013 (see Appendix C for details).

Prof Chengqi Zhang (right) with QCIS Students at June 2013 Happy Hour

28

QCIS Annual Report 2013 The First Five Years: QCIS's Five-Year Anniversary On 12 April 2013 QCIS celebrated it's five-year anniversary. The event was hosted by Professor Vicki Sara — the Chancellor of UTS, and Professor Attila Brungs — Deputy Vice Chancellor (Research) of UTS. Guests at the Celebration included: members of the QCIS International Advisory Board, seven members of the Australian Research Council's panel for Engineering, Mathematics, and Informatics, and representatives from QCIS's five international joint research centres – Shanghai Jiao Tong University (SJTU), Beijing Institute of Technology (BIT), Academy of Mathematics and Systems Science (AMSS) – Chinese Academy of Science, Tsinghua University, and Huazhong University of Science and Technology. Sixty other guests attended from Europe, The United States, South America, Middle East, and Asia. Prof Attila Brungs, DVC Research, opened the event and introduced the speakers.

Prof Vicki Sara, UTS Chancellor, outlined QCIS highlights over the past five years. At left: Prof Vicki Sara

Prof Mary O'Kane, NSW Chief Scientist and Scientific Engineer, was the guest speaker. At right: Prof Mary O'Kane delivering her speech

L-R: Prof Ah Chung Tsoi, Macau University, and Prof

Samson Abramsky, Oxford University

Other speakers included: Prof Samson Abramsky, FRS, Christopher Strachey Professor of Computing, Fellow, Wolfson College, Oxford University and member of the QCIS Advisory Board; and Prof Chengqi Zhang, Director of QCIS.

The event was also attended by QCIS staff and students, and professional and academic staff across the university.

QCIS student volunteers for the event

UTS guests: L-R: Sue Felix, AAi; Juliana Chea, FEIT

Finance Manager; Elsie Chan, Payroll Officer; Bernadette Yao, Accounts Payable Supervisor

29

QCIS Annual Report 2013 The First Five Years: QCIS's Five-Year Anniversary (cont.)

L-R: Ms Hongsu Chen, Prof Qinglin Wang, BIT; Prof Jie Lu, QCIS; Prof Yanchun Zhang, Victoria University; Prof

Zhendong Nui, BIT; Prof Jingfui Zhang, BIT.

L-R: Peter Booth, Senior Deputy Vice-Chancellor,

UTS with guest Prof Paul Compton, UNSW

L-R: Prof David Feng, University of Sydney, with

Prof Hung Nguyen, Dean, FEIT, UTS

Guests at the QCIS Five-Year

Anniversary celebration An important part of the celebration was the unveiling of plaques marking the launch of the five UTS-QCIS Joint Research Centres. QCIS was honoured to have representatives from all five joint universities as guests at the event.

L-R: UTS-SJTU Joint Research Centre: Prof Xiaokang Yang, SJTU, with Prof Attila Brungs and Prof Chengqi Zhang

L-R: UTS-BIT Joint Research Centre: Prof Qinglin Wang, BIT,

with Prof Attila Brungs, Mr Leo Mian Liu and Prof Chengqi Zhang

L-R: UTS-AMSS Joint Research Centre: Prof Shunlong Luo with Prof Attila Brungs, Prof Mingsheng Ying & Prof Chengqi Zhang

UTS-Tsinghua Joint Research Centre: Prof Xiaoyan Zhu with Prof Attila Brungs and Prof Mingsheng Ying

UTS-HUST Joint Research Centre: Prof Yong Yang with

Prof Attila Brungs and Prof William Purcell

QCIS produced a Report for this event: The First Five Years: 2008-2013. Please contact QCIS if you would like a copy. 30

QCIS Annual Report 2013 QCIS Laboratory Workshops in 2013 DeSI Workshops The Decision Systems & e-Service Intelligence Lab ran two workshops in 2013, and one to date in 2014: The 11th DeSI Workshop, 28 March 2013.

This workshop focussed on recommender systems and applications of fuzzy sets; risk and safety decision support systems; and forecasting, optimisation and cloud computing. Thirty people attended and 16 presentations, including two PhD graduation seminars, were presented.

The 12th DeSI Workshop, 12 August 2013. The workshop covered the areas of: recommender and decision support systems; fuzzy approaches and learning based systems; and cloud computing and text mining. Fourteen presentations were given at the workshop.

The 13th DeSI Workshop was held in two parts over two days. The first, held on 18 March 2014, covered fuzzy theory, reco-mmendation systems and text ming with Session 1 focussing on fuzzy approaches and recommender systems, and Session 2 on ontology and text mining.

The second part, held on 4 April 2014, began with a keynote address by Prof Jie Lu on How to write a high quality journal paper. Topics for this day's workshop included big data, transfer learning and concept drift, with Session 1 covering E-government and big data, and Session 2 addressing concept drift and transfer learning.

QCIS Seminars in 2013 A list of seminars presented in 2013 follows. All were presented by eminent international research visitors to the Centre. • Knowledge Mining and Semantic Search ,

presented by Dr Yong Rui, Microsoft Research, Asia on 4 January 2013.

• Cyber-Physical Society presented by Prof Hai Zhuge, Chinese Academy of Sciences on 4 February 2013.

• Quantum universal coding protocols and universal approximation of multi-copy states presented by Prof Masahito Hayashi, Nagoya University, Japan on 14 February 2013.

• The Power of Space and Time - how spatial and temporal structures can replace computational effort presented by Prof Christian Freksa, Universität Bremen, Germany on 25 February 2013.

• Approximating Labelled Markov again!

presented by Prof Prakash Panangaden, McGill University, Canada on 28 Feb 2013.

• Recent Research Focuses of MAS Lab at UMass-Amherst presented by Emeritus Prof Victor Lesser, University of Massachusetts, USA on 14 March 2013.

• Playing with Cases: Rendering Expressive Music Performance with Case-Based Reasoning presented by Prof Ramon Lopez de Mantaras, CSIC, Spain on 19 March 2013.

• From Quantum Mechanics to Logic, Databases, Constraints, and Complexity presented by Prof Samson Abramsky, Oxford University, UK on 12 April 2013.

• Comparing quantum and classical computational complexity presented by Prof Richard Josza, DAMTP, University of Cambridge, UK on 16 April 2013.

• A Framework for Online Service Advertising Information Discovery, Search, and Ranking presented by Dr Hai Dong, Curtin University of Technology, Australia on 18 April 2013.

• Learning Partial Differential Equations for Computer Vision and Image Processing presented by Prof Zhouchen Lin, Peking University, China on 7 August 2013.

• Optimisations Using Formally Verified Properties presented by Dr Yao Shi, UNSW, Australia on 21 August 2013.

• Contextuality and state space geometry: a sheaf-theoretic approach presented by Dr Raymond Lal, Oxford Univ, UK on 4 September 2013.

• Overcoming the brittleness of classical logic for knowledge representation presented by Dr Steven Schockaert, Cardiff Univ, UK on 12 September 2013.

• A New Challenge of Traditional Information Processing in the Web Age presented by Prof Bo Zhang, Tsinghua University, China on 27 November 2013.

• Graphical Models for Visual Perception presented by Dr Chaohui Wang, Max Planck Institute, Germany on 29 November 2013.

• Observation of quasiperiodic dynamics in a one-dimensional quantum walk of a single photon in space, presented by Prof Peng Xue, Southeast University, China on 29 November 2013

• Deep Learning in Object Detection, Seg-mentation and Recognition presented by Prof Xiaogang Wang, Chinese University of Hong Kong, China on 1 December 2013.

• A unifying learning framework in vector-valued reproducing kernel Hilbert spaces for vector-valued manifold regularisation, multi-view learning, and multi-task learning by Dr Hà Quang Minh, Istituto Italiano di Tecnologia (IIT), Italy on 2 December 2013.

31

QCIS Annual Report 2013 Visitors to QCIS in 2013 Dr Yong Rui, Senior Director, Microsoft

Research Asia, China, 2-5 January 2013 Dr Miguel Navascues, School of Physics,

University of Bristol, UK, 6-18 January 2013

Dr Ashley Montanaro, University of Cambridge, UK, 12-19 January 2013.

Prof Masahito Hayashi, Graduate School of Mathematics, Nayoya University, Japan, 28 January to 28 February 2013

Prof Neil Jones, DIKU, Denmark, 29 January to 2 March 2013

Prof Peter Gärdenfors, Lund University, Sweden, February 2013

Prof Wen Gao, Peking University, Beijing, China, 1-3 February 2013

Prof Xiaoyan Zhu, Dept of Computer Science & Technology, Tsinghua University, 1-20 February 2013

Prof Hai Zhuge, Chinese Academy of Sciences, 2-6 February 2013

Prof Prakash Panangaden, McGill University, Canada, 15 February to 7 March 2013

Prof Christian Freksa, Universitat Bremen, Germany, 23-25 February 2013

Prof Dr Ramon Lopez de Mantaras, Director, IIIA-CSIC, Spain, 1 March to 15 April 2013

L-R: Prof Jie Lu, Prof Ramon L de Mantaras, Prof John Debenham and Dr Helen Lu

Distinguished Emeritus Prof Victor Lesser, University of Massachusetts, Amherst, USA, 12 March to 13 April 2013 L-R: Prof Chengqi Zhang, Prof Victor Lesser

Prof Qingfeng Chen, Guangxi University, Nanning, China, 15 March to 20 December 2013

Dr Shengzheng Wang, Shanghai, China, 19 March 2013 to 30 January 2014

Prof Samson Abramsky, Wolfsen College, Oxford University, UK, 1 April to 1 May 2013

Prof Richard Jozsa, Kings College, University of Cambridge, UK, 7-21 April 2013 Prof Richard Josza at right

Prof Andreas Winter, University

Autonoma de Barcelona, Spain, 10-14 April 2013

Dr Hai Dong, Curtin University of

Technology, WA, Australia, 18 April 2013 Dr Sanmin Wang, 1 June to 31 August

2013 Prof Shunlong Luo, Chinese Academy of

Sciences, Beijing, China, 10-17 April 2013

Prof Hiroshi Motoda, Osaka University, Japan, 11-15 June 2013

A/Prof Chenping Hou, National University of Defence, Changsha, China, 1 July to 1 October 2013

Dr Yue Zhang, Huanggang Normal University, China, 26 July 2013 to 26 January 2014

Prof Chin-Teng (CT) Lin, National Chiao Tung University, Taiwan, 3-20 August 2013

Prof Zhouchen Lin, Peking University, Beijing, China, 7 August 2013

Dr Yao Shi, Researcher, NICTA; and Conjoint Lecturer, UNSW, 21 August 2013

Prof Xianhua Zeng, Chongqing University, China, 1 September 2013 to 1 September 2014

A/Prof Kaibing Zhang, Hubei Engineering University, China, 1 September 2013 to 1 March 2014

Dr Steven Schockaert, School of Computer Science & Informatics, Cardiff University, UK,1-15 September, 2013

L-R: Sanjiang Li, Steven Schockaert

Dr Raymond Lal, Dept of Computer Science, University of Oxford, UK, 4 September, 2013

Dr Gang (Gareth) Luo, Fudan University, China, 5 September 2013 to 20 August 2014

A/Prof Xue Li, University of Queensland, Australia, 11-14 September, and 29 October to 4 November, 2013

Prof Chonghui Guo, Dalian University, China, 30 September to 30 October 2013

Dr Hua Meng, South-West Jiatong University, China, 1 November 2013 to 31 October 2014

Dr Wenjie Liu, Nanjing University of Information Science & Technology, China, 1 November 2013 to 31 October 2014

Prof Bo Zhang, Tsinghua University, China, 24 November to 7 December 2013

Prof Anthony G Cohn, University of Leeds, UK, 19-28 October 2013

Dr Chaohui Wang, Max Planck Institute, Germany, 24-30 November 2013

32


5. QCIS Key International University / Faculty Collaboration QCIS currently collaborates with the following international universities/faculties: University of Science and Technology,

China (Prof Mary-Anne Williams) Lund University, Sweden (Prof Mary-Anne

Williams) Stanford University, USA (Prof Mary-Anne

Williams) Oxford University, UK (Prof Mary-Anne

Williams) Centre National de la Recherche Scienti-

fique, France (Prof Mary-Anne Williams) UK Network on Semantics of Quantum

Computation, including Oxford, Edinburgh, Warwick, Glasgow UK (Prof Mingsheng Ying)

Institut für Informatik, Ludwig-Maximilians-Universität München, Germany (Prof Mingsheng Ying)

Computer Science Laboratory, University Paris 6 (University of Pierre and Marie Curie), France (Prof Mingsheng Ying)

Artificial Intelligence Research Institute (IIIA), Barcelona, Spain, Prof Carles Sierra. (Prof John Debenham)

European Co-operation in Science and Technology, Brussels, Belgium (EU COST Action IC0801: Prof John Debenham)

Queens University, Kingston, Ontario, Canada, Prof David Skillicorn. (A/Prof Paul Kennedy)

iNTeg-Risk (New Technologies & Emerging Risk), Stuttgart, Germany (Nov. 2008 ̶ Dec. 2013, funding: eu15M: Prof Jie Lu, International Adviser).

University of Illinois at Chicago, USA (Prof Longbing Cao)

Fudan University, China (Prof Longbing Cao) Chinese Academy of Sciences, China

(Prof Longbing Cao) Dept Computer Science & Technology,

Tsinghua University, China (Prof Mingsheng Ying)

Universite de Paris 7, France (A/Prof Barry Jay)

Microsoft Research Ltd, Cambridge, UK (A/Prof Barry Jay)

Centre for Quantum Technologies (CQT), National University of Singapore, Prof Andreas Winter. (Prof Runyao Duan)

Computing Laboratory, The University of Oxford, UK, Professor Samson Abramsky. (Prof Mingsheng Ying)

Institute for Quantum Computing (IQC), University of Waterloo, Canada, Dr Bei Zeng (Prof Runyao Duan)

Perimeter Institute for Theoretical Physics (PI), Waterloo, Canada, Dr Zhengfeng Ji. (Prof Runyao Duan)

IBM Research, NY, USA, Prof John

Smolin. (Prof Runyao Duan) University of Franche Comte, France, Prof

Quanhua Xu. (Prof Runyao Duan) The German Research Centre for Spatial

Cognition (SFB/TR 8), Bremen & Freiburg Universities, Germany, Prof Christian Freksa and Prof Bernhard Nebel. (Prof Sanjiang Li)

School of Computing, Leeds University, UK, Prof Anthony G Cohn. (Prof Sanjiang Li)

University of Gent, Belgium, Prof Kerre. (A/Prof Guangquan Zhang)

Fern University Hagen, Germany, Prof W. Halang. (Prof Jie Lu)

Ecole Nationale Supérieure des Arts et Industries Textiles, France, Prof X Zeng. (Prof Jie Lu)

Belgian Nuclear Research Centre (SCK•CEN), Belgium (Prof Jie Lu)

Complutense University, Spain, Prof J. Montero. (Prof Jie Lu)

University of Jaén, Spain, Prof L Martinez Lopez (Prof Jie Lu)

University of Granada, Spain, Prof F Herrera. (Prof Jie Lu)

Ain Shams University, Egypt, Prof A Salem. (Prof Jie Lu)

İstanbul Technical University, Turkey, Prof C Kahraman. (Prof Jie Lu)

Iwate University, Japan, Prof H Fujita. (Prof Jie Lu)

University of Florida, USA, Prof Panos Pardalos. (Prof Jie Lu)

Beijing Institute of Technology, China, Prof Y Dai. (Prof Jie Lu)

Shanghai Jiaotong University, China – joint research centre (Prof Chengqi Zhang)

Beijing Institute of Technology, China – joint research centre (Prof Chengqi Zhang)

Academy of Mathematics and Systems Science (AMSS), Chinese Academy of Sciences – joint research laboratory (Prof Mingsheng Ying)

Tsinghua University – joint research centre (Prof Mingsheng Ying)

Huazhong University of Science and Technology, China, Prof X You. (Prof Dacheng Tao)

Birkbeck, University of London, UK, Prof S J Maybank. (Prof Dacheng Tao)

University College London, UK, Prof J Shawe-Taylor. (Prof Dacheng Tao)

Microsoft Research Asia, China, Dr Y Rui. (Prof Dacheng Tao)

Peking University, China, Prof C Xu. (Prof Dacheng Tao)

Wuhan University, China, Prof L Zhang. (Prof Dacheng Tao)

33

QCIS Annual Report 2013 QCIS Key International University / Faculty Collaboration (cont.) Xidian University, China (Prof X Gao)

(Prof Dacheng Tao) Intel Corporation, USA (Dr X Mei) (Prof

Dacheng Tao) Beihang University, China (A/Prof J Wu)

(Prof DachengTao) National University of Defence Technology,

China (Prof Z Luo) (Prof Dacheng Tao) Institute for Infocomm Research,

Singapore (Dr J Liu) (Prof Dacheng Tao) University of Massachusetts Boston, USA

(Dr W Ding) (Prof Dacheng Tao) Middlesex University, Longon, UK (Prof

Rajagopal Nagarajan) (Prof M Ying) Lund Unjiversitet (Prof Peter B Gardenfors A/Prof Jochen Renz CANNOT FIND

AFFILIATION A/Prof Matt Duckham CANNOT FIND

AFFILIATION University of Illinois, USA (Prof Philip S Yu)

(Prof Longbing Cao) Dept of Knowledge Engineering,

Maastricht University, The Netherlands (Prof Gerhard Weiss) ((Prof Longbing Cao)

School of Computer Science, McGill University (Prof Prakash Panangaden) (Prof M Ying; A/Prof Yuan Feng)

School of Computing Science, Simon Fraser University (Prof Jian Pei) (Prof C Zhang; Dr L Chen)

Dept Electrical & Computer Engineering, University of Alberta, Canada (Prof Witold Pedrycz) (Prof J Lu; Prof G Zhang)

Arizona State University (Prof Huan Liu) (Prof C Zhang)

IBM Australia Development Lab, IBM Australia (Glenn Wightwick) (Prof M-A Williams)

Happy Hour: June 2013

L-R: Mr Zhaofeng Su, Ms Jing Jiang, Ms Fahimeh Ramezani, Ms Hongsu Chen

6. Opportunities to Collaborate with QCIS The scale and quality of the research effort within QCIS, together with the Centre’s focus on areas of strategic importance, ensure the value of its work to Government and Industry. How should local organisations go about sharing these benefits? Our leaflet, Collaborative Partnerships Delivering Innovation to Government and Industry, introduces some cost-effective ways to do so, and opens the way to framing practical arrangements suited to your organisation’s particular requirements. For example, you can collaborate with QCIS by:

Attending QCIS public events such as seminars. We are happy to add your organisation to our mailing list.

Enrolling a staff member of your organisation to work with QCIS on a research topic of interest to both you and QCIS. Your staff member would gain a higher degree, and QCIS would profit by working with 'real world' problems.

Becoming an industry partner with QCIS in an Australian Research Council (ARC) Linkage Grant. As the ARC is a major contributor to these projects, the IP developed is usually subject to a formal sharing arrangement. Providing funds for projects to at least

cover the major salary costs. We welcome the opportunity to discuss ways in which QCIS can contribute resources, including involvement of our researchers.

Using our consulting services. QCIS researchers provide their time to collaborative partnerships as part of the Centre's contribution. They are also available as consultants in an individual capacity to provide advice outside of any collaborative arrangement.

We invite you to partner with us in both shaping the future of your organisation and in building and extending QCIS to serve the future needs of Australia. Please send us an email or give us a call – you will find our contact details on the back of this Report.

34


7. Appendices Appendix A: Detailed list of ARC Grants for 2013 1. DP0985456: Dr S Zhang

Title: Multiple Data Source Discovery: Group Interaction Approach 2009: $115,000 2010: $70,000 2011: $70,000 2012: $85,000 2013: $70,000 Primary RFCD: 2801 INFORMATION SYSTEMS Administering Organisation: University of Technology, Sydney Project Summary: This project will develop new technology and theory to identify and evaluate incomplete data. It will deliver a high-performance group-interaction based global pattern discovery system that enables decision-makers (like doctors) to access valuable implicit information that is contained in their data but not currently accessible. Min-ing group interactions will greatly extend the scope of pattern discovery and new product evaluation. The outcomes of the project will lead to better diagnostic decisions and will lead to increased efficiency in Australian Industries.

2. DP110103733: Prof Jie Lu, Prof Da Ruan, Prof Jian-bo Yang

Title: Trust-enhanced Recommender Systems for Personalised Government-to-Business e-service

2011: $100,000; 2012: $100,000 2013: 100,000 Primary RFCD: 0806 INFORMATION

SYSTEMS Administering Organisation: University of

Technology, Sydney Project Summary: This study will transform

current Government to Business service to a higher level to enable e-Government systems to offer Personalised e-Service. It will assist business users to significantly increase their use of e-Government services, particularly providing an effective solution to small and medium size businesses for locating business partners by using Government e-Services.

3. DP110103473: Prof Mingsheng Ying, A/Prof

Yuan Feng, A/Prof Rajagopal Nagarajan Title: Process Algebra approach to

Distributed Quantum Computation and Secure Quantum Computation

2011: $100,000 2012: $100,000 2013: $100,000 Primary RFCD: 0802 COMPUTATION

THEORY AND MATHEMATICS Administering Organisation: University of

Technology, Sydney Project Summary: This project will develop

effective methods for reasoning about the be-haviours of distributed quantum computing and

communicating systems. The developed methods will provide effective techniques for verifying security of quantum cryptographic protocols.

4. DP120102876: Prof Mary-Anne Williams, Prof Peter B Gardenfors

Title: Adaptive Cyber-physical technologies with Attention-Driven Commonsense Behaviours

2012: $120,000 2013: $100,000 2014: $100,000 Primary RFCD: 0801 ARTIFICIAL

INTELLIGENCE & IMAGE PROCESSING Administering Organisation: University of Technology, Sydney Project Summary: Designing intelligent cyber-physical systems for open, complex and chang-ing environments presents enormous scientific challenges. This project will develop an innovative framework, methods and tools that provide cyber-physical technologies with attention based common sense capabilities for adapting to new, unexpected and unforeseen situations.

5. 120103730: Prof Dacheng Tao, Prof Stephen J Maybank

Title: A General Bayesian Multi-linear Analysis Framework for Human Behaviour Analysis


INTELLIGENCE & IMAGE PROCESSING Administering Organisation: University of Technology, Sydney Project Summary: Smart information use is essential for effective video surveillance in order to guard against accidents, fight crime and combat terrorism. In this project advanced probabilistic methods will be applied to visual surveillance information, to warn of impending accidents and to track criminals and terrorists and predict their behaviours.

6. 120103758: A/Prof Jochen Renz, A/Prof

Matt Duckham, Prof Sanjiang Li Title: Artificial intelligence meets wireless

sensor networks: filling the gaps between sensors using spatial reasoning.


INTELLIGENCE & IMAGE PROCESSING Administering Organisation: The

Australian National University Project Summary: Monitoring potential

disaster regions and integrating available information with expert knowledge can prevent disasters and save many lives. The outcome of our project is one of the key components for intelligent systems that can autonomously monitor the environment, make the correct inferences and issue appropriate warnings and recommendations.

35

QCIS Annual Report 2013 Appendix A (cont.) 7. DP120103776: A/Prof Runyao Duan, Prof

Andreas J Winter Title: Quantum effects in zero-error

communication 2012: $100,000 2013: $80,000 2014: $80,000 Primary RFCD: 0105 MATHEMATICAL

PHYSICS Administering Organisation: University of Technology, Sydney Project Summary: This project will establish a systematic quantum zero-error information theory to build highly reliable quantum communications networks. This innovative, breakthrough technology will advance research into the physical realisation of quantum communication. It has global implications and will promote Australia's position in this new research field.

8. DP120104159: A/Prof Sajiang Li, A/Prof Jochen Renz, Prof Anthony G Cohn

Title: Approximate reasoning with qualitative spatial constraints involving landmarks


INTELLIGENCE & IMAGE PROCESSING Administering Organisation: University of Technology, Sydney Project Summary: Applications like emergency management of bushfires, floods, or earthquake require spatial information systems to integrate multiple kinds of information and make intelligent responses in a very limited time. This project will make breakthroughs in developing efficient methods to reason about complex spatial situations.

9. DP130102691: Prof Longbing Cao, Prof

Philip S Yu, Prof Gerhard Weiss Title: Modelling and discovering complex

interaction relations hidden in group behaviours in businesses, online and social communities.


INTELLIGENCE & IMAGE PROCESSING Administering Organisation: University of Technology, Sydney

Project Summary: This project addresses the shortage in current behaviour analysis by inventing innovative theories and algorithms for analysing complex relations and interactions in group behaviours. The outcomes of this project will enable effective detection of suspicious large groups, contributing to safer businesses and society and improved compliance in online and social communities.

10. DP130102748: Prof Xingquan Zhu, Prof

Ahmed K Almagarmid Title: Big data fast response: real-time

classification of big data stream. 2013: $105,000 2014: $105,000 2015: $105,000 Primary RFCD: 0801 ARTIFICIAL

INTELLIGENCE & IMAGE PROCESSING Administering Organisation: University of Technology, Sydney

Project Summary: This project will provide a big data stream based data mining framework to build a real-time monitoring and decision making platform for business and government big data. By clever use of smart information, this breakthrough science will provide frontier technologies for managing and using huge data for social and economic benefits globally.

11. DP130102764: A/Prof Yuan Feng, Prof

Mingsheng Ying, Prof Prakash Panangaden Title: Model-checking quantum Markov

chains: towards verification techniques for quantum cryptographic systems.

2013: $110,000 2014: $110,000 2015: $110,000 Primary RFCD: 0802 COMPUTATION

THEORY AND MATHEMATICS Administering Organisation: University of


effective techniques and practical tools for verification of correctness, safety and reliability of quantum cryptographic protocols and commun-ication systems. It will promote Australia's global standing in quantum computing research and provide frontier technology to industry and governments nationally and internationally.

12. DP140100545 – Prof Chengqi Zhang, Dr

Ling Chen, Prof Jian Pei Title: Location-aware frequent pattern min-

ing from uncertain spatial transaction data 2014: $130,000 2015: $130,000 2016: $130,000 Primary FOR: 0801 ARTIFICIAL

INTELLIGENCE & IMAGE PROCESSING Administering Organisation: University of

Technology, Sydney DP140100545 (cont.) Project Summary: Traditional transaction data

mining exploits transactions without location information. Technological advances like GPS-enabled devices or radar sensors now allow the collection of transactions with spatial information. This project will address inherent data uncertainty by developing technical solutions to mine uncert-ain spatial transactions and initiate a new research direction, location-aware frequent pattern mining. It will deliver theoretical foundations and technol-ogy for knowledge discovery from uncertain spatial transaction data and expand research horizons. Outcomes will provide social and economic benefits, for example, significantly improved analysis and detection of crime, weather diagnosis and market basket analysis for business.

36

QCIS Annual Report 2013 Appendix A (cont.) 13. DP140101366: Prof Jie Lu, A/Prof Guang-

quan Zhang, Prof Dr Witold Pedrycz Title: Fuzzy Transfer Learning for

prediction in data-shortage and rapidly-changing systems

2014: $134,000 2015: $120,000 2016: $140,000 Primary FOR 0801: ARTIFICIAL


Technology, Sydney Project Summary: Collecting sufficient up-to-

date data to train a learning model for data analysis and prediction is difficult and expensive. This project will develop a Fuzzy Transfer Learning methodology, using Information Granularity theory, that exploits data with different features and/or distributions available in other, similar systems, to provide accurate learning-based prediction for current problems. It will establish a new research direction, Fuzzy Transfer Learning for Prediction, and the outcomes will enable government and industry to better use past experience to make more accurate predictions and decisions. Highly significant benefits will also accrue in the data analytics, business intelligence and decision making research fields.

14. DP140102164: Prof Dacheng Tao, Dr Jun

Li, Prof John S Shawe-Taylor Title: Nonlinear transfer distance metric

learning for gleaning knowledge from the crowd




nonlinear transfer distance metric learning algorithms for training and test samples that are not independent and identically distributed, or from different instance spaces. New theoretical foundations for crowd-sourcing will lead to innovative intelligent systems for such purposes as the NBN, social, and security services, and keep pace with developments in hardware technology. The outcomes include applications in social networks, the Internet, and climate change, as well as video surveillance to help combat crime and terrorism. The innovative research will significantly benefit Australia’s economy, environment and society, and will maintain Australia's global leading role in the machine learning and computer vision.

15. DP140102206: Prof Xingquan Zhu, Prof

Chengqi Zhang, Prof Huan Liu Title: Enabling a User-Centric Wisdom

Engine for Big Information Network Search



Technology, Sydney Project Summary: Big information networks,

for example social networks, are important for modern information systems, yet searching for useful information from huge networks is difficult because network structure and user relationships continuously evolve. This project will provide theoretical foundations for structural knowledge mining to enable user-centric wisdom search on big information networks. Expected outcomes are: real-world application platform to support information network analysis; theories for big network control, algorithms, and systematic solutions to enable user-centric knowledge search, including a new search engine for big information networks. By significantly improving IT, it will benefit Australian business, industry and the wider community.

16. DE140100679: Dr Ying Zhang Title: Real-time query processing over

multi-dimensional uncertain data streams 2014: $131,740 2015: $131,740 2016: $131,740 Primary FOR 0806: INFORMATION


Technology, Sydney Project Summary: Real-time query

processing of multi-dimensional uncertain data streams is fundamental in many applications such as environmental monitoring and location based services. This project aims to develop effective techniques to explore the massive multi-dimensional uncertain data streams in real time. The project will develop, analyse, implement and evaluate novel indexing and query processing techniques to effectively and efficiently support a set of primitive queries including rank-based queries, dominance-based queries and proximity-based queries. The results of this project will be an important complement to the development of data stream systems and will bring considerable social, economic and technological benefits to Australia.

37

QCIS Annual Report 2013 Appendix A (cont.) 17. DE140100999: Dr Lu Qin Title: Big graph processing in MapReduce 2014: $131,740 2015: $131,740 2016: $131,740 Primary FOR 0806: INFORMATION


Technology, Sydney Project Summary: As a large branch of big

data processing, big graph processing is becoming increasingly important in both industry and academia, due to the large expressive power of graphs to model complex relationships among entities in the real world. This project will find highly scalable solutions to process big graphs using MapReduce. MapReduce is a big data processing framework that is shown to be scalable to handle structured query language- styled queries but is still open when it is used to process big graphs. Most of the problems studied in this project are fundamental graph problems that are not well studied in MapReduce. This project will enhance big graph processing which is beneficial for both science and society.

18. LP100200774: Prof Longbing Cao, Prof

Xingquan Zhu, Prof Chengqi Zhang, Mr Hans M Bohlscheid, Dr Huaifeng Zhang, Mr Brett D Clark, Dr Yanchang Zhao, Mr Peter G Newbigin Title: Detecting significant changes in organisation-customer interactions leading to non-compliance 2010: $50,000 2011: $100,000 2012: $100,000 2013: $50,000 Primary RFCD: 0801 AI AND IMAGE PROCESSING APA (i) Award(s): 1 Collaboration/Partner Organisation(s): Centrelink Administering Organisation: University of Technology, Sydney Project Summary: The instant detection of risky customer and/or group dynamics and business policy and/or process changes dispersed in normal interactions can avoid immense losses and inconsistent policies for Government and industries, such as preventing Centrelink customer debt. This project will deliver novel analytical tech-niques and smart informat-ion use to effectively detect the above-mentioned changes leading to non-compliance. It will enhance service quality, compliance, payment accuracy and policy design for the Australian Government and industries such as Centrelink, the Department of Families, Housing, Community Services and Indigen-ous Affairs (FaHCSIA), banking and insur-ance. The resulting systems, the researchers trained and resulting publications will significantly enhance Australia's leading role in tackling change-driven non-compliance.

19. LP110200767: Prof Stuart B White, Dr

Rodney A Stewart, Prof Mary-Anne Williams, Dr Damien P Giurco, Dr Kelvin R O'Halloran Title: Establishing a next-generation frame-work to determine the influence of intelligent Water Metering on Householder Attitudes and Behaviour 2011: $29,000 2012: $55,000 2013: $61,000 2014: $35,500 Primary RFCD: 0801 AI &IMAGE PROCESSING Collaborating/Partner Organisation(s): Griffith University, Mid Coast Water, Wide Bay Water Corporation Administering Organisation: University of Technology, Sydney Project Summary: Urban water security requires intelligent water management; however, its influence and impacts are contested. For the first time, we develop a framework that evaluates how innovative approaches to communicating data to householders - on where and when water is used in the home - affects attitudes and water use behaviours. Significantly, this research combines theories of behaviour change and belief revision to reconcile competing approaches to understanding the influence of data and information on householder attitudes and behaviours. The outcomes deepen the knowledge base by elucidating mechanisms for how water-use information, technology and conservation messages impact consumers in an increasingly digital age.

20. LP120100566: Prof Chengqi Zhang, Prof

Longbing Cao, Dr Ling Chen, Mr David I Wisener, Mr Donald R Halloran, Mr Alan T Wang, Mr Cameron Monk Title: Mining complex concurrency relation-ship patterns for dynamic customer/asset interaction modelling through novel industrial behaviour networks 2012: $140,000 2013: $120,000 2014: $120,000 Primary RFCD: 0801 AI AND IMAGE PROCESSING Collaboration/Partner Organisation(s): Coates Hire Administering Organisation: University of Technology, Sydney Project Summary: This project will develop novel data mining algorithms to model the evolution of concurrency relationships between customers and assets. It will take into account multiple aspect factors for a business such as seasonality, government policy, and other external events for making fast, accurate and efficient business decisions.

38


Appendix A (cont.)

21. LP120100659: Prof Mary-Anne Williams, Mr Glenn Wightwick, Dr Benjamin G Johnston Title: A framework for physical and social collaboration: towards the smarter planet vision 2012: $75,000 2013: $70,000 2014: $70,000 Primary RFCD: 0801 AI AND IMAGE PROCESSING Collaboration/Partner Organisation(s): IBM Australia Ltd Administering Organisation: University of Technology, Sydney Project Summary: This project will make intelligent collaborative technologies a reality by advancing the theory of collab-orative action and developing an innovative framework and practical methods which will allow intelligent systems to undertake the collaborative actions required for applications in transport, energy manage-ment, sustainability, and healthcare.

22. LE140100061: Prof David Abramson, Prof Xiaofang, Prof Debra Bernhardt, Prof Chengqi Zhang, Prof Xingquan Zhu, Prof Dacheng Tao, Dr Ling Chen, Prof Michael Drinkwater, Prof Rodger Tomlinson, Prof Ross Coppel, A/Prof Yuantong Gu, Prof Keven Burrage, Prof Lyn Griffiths, Prof Ian Turner, Prof Brendan Mackey, A/Prof Aijun, Prof Kerrie Mengerson, Prof David Edwards. 2014: $1,000,000 Primary FOR 1006: COMPUTER HARDWARE Partner/Collaborating Eligible Organisation(s) Queensland University of Technology, Griffith University, Monash University, University of Technology, Sydney, Queensland Cyber Infrastructure Foundation Ltd Administering Organisation: The University of Queensland Project Summary: FlashLite: a high performance machine for data intensive science: The 21st century has been described as the century of data. Experts predict an exponential growth in the amount of data that will be captured, generated and archived. Australia has made significant progress towards addressing some of the opportunities and infrastructure challenges posed by such rapid increase in data volumes. However, these investments do not address the growing need to process data. Conventional supercomputers are unable to meet the challenges of the data explosion. The large gap in latency and bandwidth between the processor, memory and disk subsystems means that the processor is often idle waiting to fetch data. This project will build a platform focussed on data intensive science.

23. FT0990811: Dr Sanjiang Li Title: Spatial Cognition—Expressive Representation Formalisms and Effective Reasoning Mechanisms 2009: $85,800 2010: $171,600 2011: $171,600 2012: $171,600 2013: $85,800 Primary RFCD: 3803 COGNITIVE SCIENCE Administering Organisation: University of Technology, Sydney Project Summary: The project will contribute significantly to the advancement of knowl-edge in breakthrough science in qualitative spatial reasoning and smart information use in geographic information systems. Expressive spatial languages are important in organising spatial knowledge, defining spatial query languages and guiding spatial data mining. Effective spatial reasoning mechanisms bring theory closer to applic-ations including consistency checking and spatial query pre-processing. The project will help to extract knowledge from massive spatial databases, meeting the growing needs of naive users for spatial information and establishing Australia as a major player in spatial cognition research and in the development of geo-location services.

24. FT100100218: A/Prof Yuan Feng Title: Reasoning About, and Step-wise Development of Quantum Programs: A Predicate Transformer Semantics Approach 2010: $70,748 2011: $140,297 2012: $140,297 2013: $140,297 2014: $69,549 Primary RFCD: 0802 COMPUTATION THEORY AND MATHEMATICS Administering Organisation: University of Technology, Sydney Project Summary: The project will provide a framework to reason about, and stepwise develop, quantum programs by rigorous predicate transformer semantics, and generate breakthrough theory and frontier techniques for quantum software engineering.

25. FT100100971: Prof Xingquan Zhu Title: Novel Data Mining Techniques for Complex Network Analysis and Control 2010: $83,558 2011: $165,767 2012: $164,418 2013: $154,418 2014: $82,209 Primary RFCD: : 0802 COMPUTATION THEORY AND MATHEMATICS Administering Organisation: University of Technology, Sydney Project Summary: This project will develop novel data mining theories and algorithms to analyse complex networks for safe information publishing and sharing across networks. It will enable smart information use in bioinformatics, social science and business intelligence, help protect against cybercrime and promote Australia's international research profile.

39


Appendix A (cont.)

26. FT110101044: A/Prof Michael J Bremner Title: Supra-classical quantum simulation in physically restricted models of quantum computation 2011: $78,788 2012: $149,354 2013: $142,354 2014: $142,354 2015: $70,566 Primary RFCD: : 0802 COMPUTATION THEORY AND MATHEMATICS Administering Organisation: University of Technology, Sydney Project Summary: Quantum computation evolved from the revolutionary 20th century theories of Quantum Mechanics and Computer Science, offering computational power that potentially transcends traditional computing models. This project will accelerate the delivery of the promised benefits of quantum computation by advancing the theory of quantum simulation.

27. FT120100449: Prof Runyao Duan

Title: A mathematical foundation and novel solutions for highly secure communications 2012: $85,378 2013: $169,460 2014: $169,460 2015: $169,460 2016: $84,082 Primary RFCD: : 0105 MATHEMATICAL PHYSICS Administering Organisation: University of Technology, Sydney Project Summary: This project will deliver novel solutions to security and privacy in communication networks by exploring the power of quantum information with mathematical tools from operator structures. It will signific-antly advance our knowledge about quantum communication, with expected benefits for Australian social, economic and military security.

28. FT130100746: A/Prof Ivor Tsang Title: Big Data Machines: Internet-Scale

Machine Learning Techniques to Combat the Curse of Big Data

2013: $82,929 2014: $158,904 2015: $153,404 2016: $153,404 2017: 75,975 Primary FOR 0801: ARTIFICIAL

INTELLIGENCE & IMAGE PROCESSING

Administering Organisation: University of

Technology, Sydney Project Summary: The advent of “big data” in

business, government, science, social networks, the internet, etc. creates opportunity in business and commercial domains. Big data also raises issues of increasing volume, variety, dimensionality and categories in open domain big data applications, which this project will solve by developing novel machine learning techniques, including theoretical foundations, a big data machine learning framework and open source website. The outcomes of this project will provide frontier technologies for big data analysis that will have social and economic impact in such areas as social media computing, bioinformatics and business intelligence, and enhance Australia’s global position in the pattern recognition and data mining communities.

29. FT130101457: Prof Dacheng Tao Title: Multiview Complete Space Learning

for Sparse Camera Network Research 2013: $123,393 2014: $234,036 2015: $224,036 2016: $224,036 2017: $110,643 Primary FOR 0801: ARTIFICIAL


Technology, Sydney Project Summary: Data analytics in video

surveillance and social computing is a problem because data are represented by multiple heterogeneous features. This project will develop a multiview complete space learning framework to exploit heterogeneous properties to represent images obtained from sparse camera networks. It will integrate multiple features to identify people and understand behaviour, to build a database of activities occurring in a wide area of surveillance. It will expand frontier technologies and safeguard Australia by providing warnings for hazardous (for example, overcrowding, trespassing), criminal, and terrorist situations. Results will be applicable internationally and enhance Australia’s role in machine learning and computer vision communities.

Quantum Lab Future Fellows: L-R: A/Prof Yuan Feng, Prof Sanjiang Li, Prof Runyao Duan, A/Prof Michael Bremner

DSKD Lab Future Fellows

Prof Dacheng Tao A/Prof Ivor Tsang

40


Appendix B: List of Other Publications This list contains all publications for 2013-2014: edited books, book chapters, journal special issues, and journal and conference papers — not listed earlier as A*/A papers at pages 12-20. Book 1. Jun Yu & Dacheng Tao. 2013. Modern

machine learning techniques and their applications in cartoon animation research, John Wiley & Sons.

Book Chapters 2013 1. Nur Atiqah Rochin Demong, Jie Lu &

Farookh Khadeer Hussain. 2014. Personalised Property Investment Risk Analysis Model in the Real Estate Industry. (eds.), Human-Centric Decision-Making Models for Social Sciences, pp.369-390, Springer, 3642393063.

2. Maytiyanin Komkhao, Jie Lu, Zhong Li & WolfgangA Halang. 2014. Improving Group Recommendations by Identifying Homogenous Subgroups In: F. Sun, T. Li & H. Li (eds.), 41, Knowledge Engineering and Management, vol.214, pp.453-462, Springer Berlin Heidelberg, 978-3-642-37831-7.

3. Mohsen Naderpour & Jie Lu. 2013. A Human Situation Awareness Support System to Avoid Technological Disasters. In: B. Vitoriano, J. Montero & D. Ruan (eds.), Decision Aid Models for Disaster Management and Emergencies, vol.7, pp.307-25, Paris, Atlantis Press.

4. Yong Luo, Dacheng Tao & Chao Xu. 2013. Patch Alignment for Graph Embedding. In: Y. Fu & Y. Ma (eds.), Graph Embedding for Pattern Analysis, pp.73-118, Springer, 978-1-4614-4456-5.

Journal Special Issues

1. J Lu, T Li, “Computational Intelligence for

Policy Making and Risk Governance”, in International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 20, Issue supp01, June 2012.

2. Guangquan Zhang, Yang Xu, Tian-rui Li: Guest Editorial: "A special issue on new trends in Intelligent Decision Support Systems" in Knowledge-Based Systems, 32: 1-2, 2012.

ERA ranked 'B' Journal Papers 2013 1. Jun Cheng, Wei Bian & Dacheng Tao.

2013. Locally regularized sliced inverse regression based 3D hand gesture recognition on a dance robot. Information Sciences, vol.221, pp.274-283.

2. Quynh Ngoc Thuy Do & Farookh Khadeer Hussain. 2013. A hybrid approach for the personalisation of cloud–based e–governance services. International Journal of High Performance Computing and Networking, vol.7, no.3, pp.205-214.

3. Ivo Düntsch & Sanjiang Li. 2013. On the homogeneous countable Boolean contact algebra. Logic and Logical Philosophy, vol.22, no.2, pp.213-251.

4. Olivia Fachrunnisa & Farookh Khadeer Hussain. 2013. A Methodology for Maintaining Trust in Industrial Digital Ecosystems. IEEE Transactions on Industrial Electronics, vol.60, no.3, pp.1042-58.

5. Yifan Fu, Xingquan Zhu & Bin Li. 2013. A Survey on Instance Selection for Active Learning. Knowledge and Information Systems, vol.35, no.2, pp.249-283.

6. Stephen J Goodswen, Paul J Kennedy & John T Ellis. 2013. A guide to in silico vaccine discovery for eukaryotic pathogens. Briefings in bioinformatics, vol.14, no.6, pp.753-774.

7. Naeem Khalid Janju, Farookh Khadeer Hussain & Omar Khadeer Hussain. 2013. Semantic information and knowledge integration through argument-ative reasoning to support intelligent decision making. Information Systems Frontiers, vol.15, no.2, pp.167-192.

8. Jie Lu, Li Niu & Guangquan Zhang. 2013. A Situation Retrieval Model for Cognitive Decision Support in Digital Business Ecosystems. IEEE Transactions on Industrial Electronics, vol.60, no.3, pp.1059-69.

9. Zhibin Pan, Xinge You, Hong Chen, Dacheng Tao & Baochuan Pang. 2013. Generalization Performance of Magnitude-preserving Semi-supervised Ranking with Graph-based Regularization. Information Sciences, vol.221, no.2, pp.284-96.

10. Zhibin Pan, Xinge You, Hong Chen, Dacheng Tao & Baochuan Pang. 2013. Generalization Performance of Magnitude-preserving Semi-supervised Ranking with Graph-based Regularization. Information Sciences, vol.221, no.2, pp.284-96.

41


Appendix B (cont.) 11. Sazia Parvin, Farookh Khadeer Hussain &

Omar Khadeer Hussain. 2013. Conjoint trust assessment for secure communication in cognitive radio networks. Mathematical and Computer Modelling, vol.58, no.5, pp.1340-1350.

12. Morteza Saberi, Monireh Sadat Mirtalaie, Farookh Khadeer Hussain, Ali Azadeh, Omar Khadeer Hussain & Behzad Ashjari. 2013. A granular computing-based approach to credit scoring modeling. Neurocomputing, vol.122, pp.100-115.

13. Will Tao & Guangquan Zhang. 2013. Trusted Interaction Approach for Dynamic Service Selection Using a Multi-criteria Decision Making Technique. Knowledge-Based Systems, vol.32, pp.116-22.

14. Zia ur Rehman, Farookh K Hussain & Omar K Hussain. 2013. Frequency-based similarity measure for multimedia recommender systems. Multimedia systems, vol.19, no.2, pp.95-102.

15. Guangquan Zhang, Yang Xu & Tianrui Li. 2013. Guest Editorial: A Special Issue on New Trends in Intelligent Decision Support Systems. Knowledge-Based Systems, vol.32, no.1-2.

16. Zui Zhang, Hua Lin, Kun Liu, Dianshuang Wu, Guangquan Zhang & Jie Lu. 2013. A Hybrid Fuzzy-based Personalized Recommender System for Telcom Products/Services. Inform-ation Sciences, vol.235, pp.117-129.

17. Xiantong Zhen, Ling Shao, Dacheng Tao & Xuelong Li. 2013. Embedding Motion and Structure Features for Action Recognition. IEEE Transactions on Circuits and Systems for Video Tech-nology, vol.23, no.7, pp.1182-1190.

ERA ranked 'B' Conference Papers 2013 1. Joshua A. Grochow & Youming Qiao.

2014. Algorithms for group isomorphism via group extensions and cohomology. IEEE Conference on Computational Complexity (CCC), June 11-13, 2014, Vancouver, Canada, Accepted.

2. Hongshu Chen, Guangquan Zhang & Jie Lu. 2013. A Time-Series-Based Technology Intelligence Framework by Trend Prediction Functionality. 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC), October 13-16, Manchester, United Kingdom, IEEE, pp.3483-3488.

3. Hongshu Chen, Guangquan Zhang & Jie

Lu. 2013. A Time-Series-Based Technology Intelligence Framework by Trend Prediction Functionality. 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC), October 13-16, Manchester, United Kingdom, IEEE, pp.3483-3488.

4. Hongshu Chen, Guangquan Zhang, Jie Lu & Donghua Zhu. 2013. A Two-steps Agglomerative Hierarchical Clustering Method for Patent Time-dependent Data. The 7th International Conference on Intelligent System and Knowledge Engineering (ISKE ), 15-17 December, 2012, Beijing, China.

5. Preetinder Kaur, Madhu Goyal & Jie Lu. 2013. A Proficient and Dynamic Bidding Agent for Online Auctions. Agents and Data Mining Interaction, Valencia, Spain, Springer, pp.178-190.

6. Maytiyanin Komkhao, Jie Lu, Zhong Li & WolfgangA Halang. 2013. Improving Group Recommendations by Identifying Homogenous Subgroups. Proceedings of the Seventh International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 15-17 December, 2012, Beijing, China, Springer Berlin Heidelberg, pp.453-462.

L-R: Ms Barbara Munday and Ms Fahimeh

Ramezani at the QCIS Five-year Anniversary celebration

42

QCIS Annual Report 2013 Appendix C: Professional Services for 2013 Key Fellowships in International Professional Organisations

Organisation Position Yeas Name IET/IEE Fellow 2011-ongoing Prof Dacheng Tao International Association of Pattern Recognition (IAPR)

Fellow 2012-ongoing Prof Dacheng Tao

International Society for Optical Engineering (SPIE)

Fellow 2012-ongoing Prof Dacheng Tao

British Computer Society (BCS) Fellow 2011-ongoing Prof Dacheng Tao International Statistical Institute Elected Member

(equivalent to Fellow)

2011-ongoing Prof Dacheng Tao

Stanford Centre for Computers & Law, Stanford University, USA

Fellow 2009-ongoing Prof Mary-Anne Williams

Australian Computer Society Fellow 2013-ongoing Prof Mary-Anne Williams

Australian Computer Society Fellow 2009-ongoing Prof Chengqi Zhang Key roles in International Professional Organisations

Organisation Position Yeas Name IEEE Task Force on Educational Data Mining

Chair 2011-ongoing Prof Longbing Cao

IEEE Task Force on Behaviour and Social Informatics

Chair 2012-ongoing Prof Longbing Cao

European Society for Fuzzy Logic and Technology (EUSFLAT)

Board member 2013-ongoing Prof Jie Lu

KR Incorporated Director on the Board

2010-ongoing Prof Mary-Anne Williams

Excellence in Research for Australia (ERA) Research Evaluation Committee

Chair 2011-2013 Prof Mary-Anne Williams

Steering Committee for International Conference on Knowledge Science, Engineering, and Management (KSEM)

Chair 2006-ongoing Prof Chengqi Zhang

Australian Computer Society National Committee for Artificial Intelligence (AI)

Chair 2005-ongoing Prof Chengqi Zhang

Editorial Services for International Journals

Journal Position Year Name LNCS Transactions on Computational Collective Intelligence

Member, Editorial Board 2011-ongong Prof Longbing Cao

International Journal of Social Network Mining (IJSNM)

Member, Editorial Board 2011-ongoing Prof Longbing Cao

International Journal of Intelligent Inform-ation and Database Systems (IJIIDS)


International Journal of Data Mining, Modelling and Management (IJDMMM)


Knowledge and Information Systems: An International Journal

Associate Editor 2012-ongoing Prof Longbing Cao

IEEE Transactions on Systems, Man and Cybernetics: Systems

Associate Editor 2012-ongoing Prof Longbing Cao

An International Journal of Intelligent Decision Technologies

Member, Editorial Board 2010-ongoing Prof Jie Lu

International Journal of Knowledge-Based Systems (Elsevier)

Editor-in-Chief 2009-ongoing Prof Jie Lu

43

http://www.cs.uvm.edu/%7Ekais/

http://www.cs.uvm.edu/%7Ekais/

http://mc.manuscriptcentral.com/systems

http://mc.manuscriptcentral.com/systems

QCIS Annual Report 2013 Editorial Services for International Journals (cont.)

Journal Position Year Name International Journal of Computational Intelligence Systems, Atlantis Press/Taylor and Francis

Editor-in-Chief 2007-ongoing Prof Jie Lu

Book series: Intelligent Information Systems (World Scientific)

Editor 2007-ongoing Prof Jie Lu

International Journal of Computational Science


IADIS International Journal on Computer Science and Information Systems (IJCSIS)


International Journal of Nuclear Governance Economy and Ecology (IJNG2E)

Member, Scientific & Editorial Committee

2006-ongoing Prof Jie Lu

IEEE Transactions on Systems, Man and Cybernetics: Systems

Associate Editor 2013-ongoing Prof Jie Lu

IEEE Transactions on Fuzzy Systems Associate Editor 2013-ongoing Prof Jue Lu IEEE Transactions on Systems, Man and Cybernetics: Part B

Associate Editor 2012-ongoing Prof Dacheng Tao

Pattern Recognition Associate Editor 2011-ongoing Prof Dacheng Tao Neurocomputing (Elsevier) Associate Editor 2007-ongoing Prof Dacheng Tao Computational Statistics & Data Analysis (Elsevier)


Information Sciences (Elsevier) Associate Editor 2010-ongoing Prof Dacheng Tao Pattern Analysis and Applications (Springer)


Neural Processing Letters (Springer) Associate Editor 2010-ongoing Prof Dacheng Tao EURASIP Signal Processing Journal (Elsevier)

Member, Editorial Board 2010-ongoing Prof Dacheng Tao

Artificial Intelligence Journal (Elsevier)

Review Editor 2007-ongoing Prof Mary-Anne Williams

American Association of Artificial Intelligence/MIT Press

Member, Editorial Board 2006-ongoing Prof Mary-Anne Williams

International Journal of Software and Informatics

Member, Editorial Board 2009 – ongoing Prof Mingsheng Ying

Artificial Intelligence Journal (Elsevier)

Associate Editor 2008 – ongoing Prof Mingsheng Ying

Science in China F: Information Science


Frontiers of Computer Science in China


Journal of Automation Member, Editorial Board 2004 – ongoing Prof Mingsheng Ying Journal of Computer Science and Technology


Fuzzy Sets & Systems (Elsevier) Member, Editorial Board 2000 – ongoing Prof Mingsheng Ying International Journal of Data Warehousing and Mining (IJDWM)

Associate Editor 2004 – ongoing Prof Chengqi Zhang

Web Intelligence and Agent Systems: An International Journal (WIAS)

Associate Editor 2003-ongoing Prof Chengqi Zhang

International Journal of Nuclear Governance Economy and Ecology – (IJNG2E)

Member of the Scientific and Editorial Committee

2007-ongoing A/Prof Guangquan Zhang

International Journal of Computational Intelligence Systems (IJCIS)

Member, Editorial Board 2007-ongoing A/Prof Guangquan Zhang

Journal of Fuzzy Mathematics (USA) Advisory Editor 1993-ongoing A/Prof Guangquan Zhang

44

QCIS Annual Report 2013 Chairs at international conferences in 2013

Conference Name Position QCIS Personnel The 8th International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2013), 20-23 Nov 2013, ShenZhen, China

General Chair Prof Jie Lu

11th Australasian Data Mining Conference (AusDM2013), 13-15 Nov 2013, Canberra

Conference Co-Chair A/Prof Paul Kennedy

Keynote speeches delivered at international conferences in 2013

Conference/Organisation Name Keynote Title QCIS Personnel CISCO Internet of Everything – What does it mean for Australian business? Sydney, 2 Aug 2013

Education and Everything Prof Mary-Anne Williams

Provoking Learning with ICT Conference and Expo, Caulfield Racecourse, Vic, 12-13 Aug 2013

Big Data and Robotics Prof Mary-Anne Williams

45

The Centre for Quantum Computation & Intelligent Systems Faculty of Engineering and Information Technology

University of Technology, Sydney PO Box 123, Broadway NSW 2007

Level 3, Building 10, 235 Jones Street, Ultimo NSW 2007 Phone: +61 2 9514 1263 Fax: +61 2 9514 4517

Email: [email protected] http://www.qcis.uts.edu.au

annual report 2013 - university of technology sydney annual report 2013_web.pdf · the centre grew...

Documents