qcis 2010 ann rep

Annual R e p o r t 2 0 1 0

The Centre for

Quantum Computation & Intelligent Systems

Priority Investment Research Centre University of Technology, Sydney

Annual Repor t 2010

The Centre for

Quantum Computation & Intelligent Systems

Priority Investment Research Centre

University of Technology, Sydney

May 2011

QCIS wishes to acknowledge and thank: Encapture Photography Sydney for photos appearing on pages iii and 5,

Chayapol Moemeng, QCIS for pictures appearing on pages 2, 3, 5, 6, 7, 8 and 20, and Chao Luo, QCIS, for pictures appearing on page 21.

© The Centre for Quantum Computation & Intelligent Systems, May 2011 Printed by UTS Printing Services, Sydney, Australia. 2011

QCIS Annual Report 2010

i

Table of contents 1. Foreword by Professor Attila Brungs (DVCR) iii 2. 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 Co-Director: Emeritus Professor John Debenham 2 Research Director: Distinguished Professor Mingsheng Ying 3

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

3. QCIS Research Laboratories 5 Data Sciences & Knowledge Discovery Laboratory 5

Advanced Analytics Institute 5 New Director for the Smart Lab 5

Decision Systems & e-Service Intelligence Laboratory 6 Innovation & Enterprise Laboratory 6 Knowledge Infrastructure Laboratory 7 Quantum Computation Laboratory 8

4. QCIS Research Achievements in 2010

List of Publications (ERA ranked A*/A papers: Journals and Conferences) 9 Summary of ARC Grants 15 List of Other Grants (CRC, Industry and UTS) 16 Current Research Students 17 Graduated Research Students 18 Other research achievements 19 Visitors to QCIS 20

5. Events in 2010

Research Workshops 21 ICDM 2010 21 DSKDBI 2010 21 Seminars 22

6 QCIS Key International University/Faculty Collaboration 23 7. Opportunities to collaborate with QCIS 24 Appendices

Appendix A: Detailed List of ARC Grants 25 Appendix B: List of Other Publications (those not listed above at page 9) 29

Edited Books 29 Book Chapters 29 Journal Special Issues 29 ERA ranked 'B' Journal papers 29 ERA ranked 'B' Conference papers 30

Appendix C: Professional Services for 2010 Key roles in International Professional Organisations 31 Editorial Services for International Journals 31 Chairs for International Conferences 33 Keynote Speeches delivered at International Conferences 33


ii


iii

1. Foreword The Centre for Quantum Computation & Intelligent Systems (QCIS) proudly presents its Annual Report for 2010, the third since its official launch in July 2009.

Over this period, QCIS has demonstrated its world leading research credentials through: the quality and number of journal and conference publications; 16 successful on-going and newly-awarded national competitive ARC grants; winning of major UTS research excellence awards; significant research impact through joint research with industry and government; and successful supervision and training of over sixty high-achieving research students. QCIS has established itself as a world-class research centre in the areas of: 1. Quantum computation and quantum

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

2. Research into intelligent systems, data mining and knowledge discovery, and decision making capabilities; artificial intelligence relating to cognitive agents; bioinformatics; smart data and knowledge representation; social networks and privacy issues; and risk management and financial services.

In 2010, Distinguished Prof Mingsheng Ying, QCIS Research Director, developed the first fully complete Floyd-Hoare logic for quantum programs to build a logical foundation for quantum computer programming methodology. As Floyd-Hoare logic is a foundation of axiomatic semantics in classical programs and has been proved to be very influential, a reviewer of Prof Ying's work described his contribution as: "One of the landmarks in the development of the theory of quantum programming languages". QCIS core members have published 27 ERA 'A*' journal papers, 47 ERA 'A' journal papers, and 46 refereed ERA 'A' conference papers during 2010 and the first half of 2011. The Centre attracted new funding for two ARC Future Fellowships, two ARC Discovery Grants, and one ARC Linkage Grant, which, with another 11 on-going ARC grants, brings the total of current grants to 16. This is an outstanding result for the Centre and represents a significant proportion of total UTS ARC grants.

QCIS' research excellence was further demonstrated by the awarding of prestigious awards. Two core members won awards under the Vice-Chancellor's Awards for Research Excellence: Prof Jie Lu won the UTS Medal for Teaching and Research Integration, and Assoc Prof Sanjiang Li won the award for Early Career Research Excellence. Additionally, Dr Ya Gao won the Chancellor's Best PhD Dissertation Award for 2010; Mr Xun Wang won an IBM PhD Fellowship for 2010; and Mr Rony Novianto won an IBM PhD Fellowship for 2011, and an Endeavour Fellowship to study at Lund University in Sweden for six months in 2011. QCIS' research impact is also demonstrated by its industry cooperation, the Centre has established research collaborations with: Capital Markets CRC, Westpac, Centrelink, HCF, Alcatel-Lucent Bell Labs, Optus and AMP. It also works with other industry partners, including IBM Australia, Google, Microsoft, SAS, the Children's Hospital at Westmead, Macquarie Bank, and the Federal Police. The Centre's strong research results attracted more than 60 research students in 2010. QCIS staff continue to make significant contributions to the international research community, including two editors for the AI Journal, four editors for IEEE TKDE, and one Editor-in-Chief for Knowledge-based Systems. Core members have presented several international keynote speeches. This report provides comprehensive information about the Centre's achievements throughout 2010 − in particular, its recent research, grants awarded, and significant publications. It also provides an outline of what the Centre can do for government and industry in Australia, and overseas. I hope this Report will encourage readers to consider possibilities for collaboration with the Centre now and in the future.

Professor Attila Brungs Deputy Vice-Chancellor (Research) University of Technology, Sydney


iv


1

2. 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 in 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 eighteen academic staff, 10 post-doctoral research-only fellows, and over sixty 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. The Centre currently has five laboratories:

• Data Sciences & Knowledge Discovery Laboratory (the Smart Lab). Director: Professor Xingquan (Hill) Zhu.

• 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: Dr Paul Kennedy.

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

Professor Chengqi Zhang is Director of the Centre, assisted by Professor John Debenham as Co-Director, and Professor Mingsheng Ying as Research Director. 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 in 2002. 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 — Dr 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, as outlined earlier.


2

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 associat-ion 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 adminis-trative 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. He is currently the Director of the UTS Research Centre for Quantum Com-putation & Intelligent Systems. In addition, he is the Leader of the Data Mining program at the Australian Capital Market Co-operative Research Centre. Chengqi Zhang obtained his PhD degree from Queensland University 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 its applications. He has published more than 200 research papers.

The 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 IEEE and ACM Transactions. He has delivered 12 keynote/invited speeches at international conferences over the last six years. As a Chief Investigator, he currently holds two ARC Discovery Grants and two ARC Linkage Grants in cooperation with other Chief Investigators. Professor Zhang was elected as the Chair-man 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 of PRICAI (Pacific Rim International Conference on Artificial Intelligence) and PAKDD (Pacific-Asia Conference on Knowledge Discovery and Data Mining). He 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. He is a Senior Member of the IEEE Computer Society (IEEE) and a Fellow of the Australian Computer Society (ACS).

Co-Director: Emeritus Professor John Debenham

John was formerly Professor of Computer Science at UTS. He has a long-standing interest in Artificial Intelligence. Between 1985 and 1998 he worked on the design of expert, knowledge-based systems. That work is reported in the two research monographs: Knowledge Systems Design, Prentice-Hall,1989, and Knowledge Engineering: Unifying Knowledge Base and Database Design, Springer-Verlag, 1998.


3

QCIS Senior Management (cont.) John's recent work has focused on multi-agent systems. During the period 1998 to 2002 he published extensively in the area of multi-agent systems to manage complex business processes. During the period 2002 to 2006 his work concentrated on eNegotiation and argumentation agents. He is particularly interested in the design of agents which can exploit the information-rich environment of electronic markets. In collaboration with QCIS Adjunct Professor Carles Sierra (IIIA, Barcelona) he is pioneering the foundations of information-based agency. He currently holds an ARC Linkage Grant (with Alcatel-Lucent Bell Labs) and an ARC Discovery Grant.

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 Physics Review Letters, Artificial Intelligence, IEEE Transaction on Information Theory, etc. He is a world pioneer researcher in the quantum programming field. As Research Director of QCIS Professor 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 Professor John Debenham Associate Professor Runyao Duan Dr Paul Kennedy Professor Jie Lu Professor Mary-Anne Williams Professor Mingsheng Ying Professor Chengqi Zhang Professor Xingquan Zhu Ms Barbara Munday — Secretary

QCIS Core Members Professor Longbing Cao Dr Ling Chen Professor Eng Chew Emeritus Professor John Debenham Associate Professor Runyao Duan Associate Professor Yuan Feng Dr Ya Gao Dr Madhu Goyal Associate Professor Barry Jay Dr Benjamin Johnston Dr Paul Kennedy Dr Bin Li DrJun Li Associate Professor Sanjiang Li Dr Hai Yan (Helen) Lu Professor Jie Lu Dr Dan Luo Dr Yuming Ou Dr Artem Parakhine Dr Zhenxing Qin Professor Dacheng Tao Professor Mary-Anne Williams Distinguished Professor Mingsheng Ying Professor Chengqi Zhang Associate Professor Guangquan Zhang Associate Professor Shichao Zhang Professor Xingquan (Hill) Zhu Dr Xinhua Zhu

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

• Professor Javier Montero, Facultad de Ciencias Matemáticas, Universidad Complutense de Madrid, Spain

• 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


4

QCIS Adjunct Professors • Adjunct Professor Paul Beinat, CEO,

NeuronWorks Pty Ltd, Australia • Adjunct Professor Daniel Catchpoole,

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

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

• Adjunct Professor Tom Osborn, Director, Customer Analytics and Marketing Metrics, The Leading Edge Pty Ltd, Australia

• Adjunct Professor Da Ruan, Belgian Nuclear Research Centre, Ghent University, Belgium

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

• Adjunct Professor Simeon Simoff, Professor and Head of School of Computing & Mathematics, UWS, Australia

• Adjunct Professor Philip S. Yu, Professor & 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

Five Year Goals: 2009-2014 • To build a Centre of around 30

scientists, 4 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, edit journals, special editions, and invited talks.

• 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.


5

3. QCIS Research Laboratories

Data Sciences & Knowledge Discovery Laboratory (DSKD or The Smart Lab)

Director: Professor Longbing Cao

The Data Sciences & Knowledge Discovery Lab (the Smart Lab) aims to foster both theoretical and practical innovation in areas of machine learning, data mining and knowledge discovery, data sciences, behaviour informatics, and agent-mining interaction and integration. The Lab is committed to conducting world-class research to provide solutions for real-world business problems and deliverables by scrutinising data agility, discovering actionable knowledge, and disclosing business intelligence for smart business decisions. The objective of the Smart Lab is to advance the theoretical knowledge discovery process, developing Smart methodologies, techniques and tools to bridge the gap between academia and industry to enable smart businesses and smart decisions. The Lab has extensive experience in addressing critical problems such as exceptional and constructive behaviour in governments, industries and communities including the domains of social security, capital markets, banking, insurance, e-commerce and telecom. The Smart Lab fosters practice-driven research and a workable development environment for R & D in data mining and knowledge discovery, machine learning, and artificial intelligence; and in particular, domain driven data mining, multiple data source mining, high-impact activity mining, behaviour analytics, dynamic mining, and agent-mining interaction and integration. The Smart Lab's achievements in 2010 include: • Prof Longbing Cao was a finalist for the

Vice-Chancellor's Awards for Research Excellence through Partnerships.

• Prof Xingquan Zhu was awarded an ARC

Future Fellowship from 2010-2014.

• The Smart Lab has attracted two ARC DP grants from 2010 to 2012, and one ARC LOP grant from 2010 to 2013.

Advanced Analytics Institute In 2011, Professor Longbing Cao will head the new Advanced Analytics Institute. The Institute is being established to address research and business problems in the broader areas of data and domain-driven analytics and decision making by consolidating strengths and resources across faculties and disciplines at UTS. The Institute will create a clear “path to impact/market” for UTS research, acting as a business-oriented hub with a strong emph-asis on forming strategic alliances with cross-sector analytics-related sponsors and partners in both the shorter and longer-term. The Institute is very closely aligned with both QCIS and the Centre for the Study of Choice (CenSoC) and we expect that QCIS will have a close working relationship with the Institute and Professor Cao in the future. New Director for The Smart Lab: Professor Xingquan (Hill) Zhu Prof Xingquan (Hill) Zhu assumed leader-ship of the Smart Lab from 1 January 2011. His research interests include data mining, machine learning, multimedia computing, and bioinformatics.

New Director for "Smart Lab" : Professor Xingquan (Hill) Zhu

Prof Zhu is the recipient of an ARC Future Fellowship from 2010 to 2014 (Step 2). His research interests include data mining, machine learning, multimedia computing, and bioinformatics. Prior to joining QCIS, UTS in 2009, Prof Zhu was an Assistant Professor from 2006 to 2009 with the Dept of Computer Science and Engineering at Florida Atlantic University, USA. Earlier positions included


6

Professor Xingquan Zhu (cont.) Research Assistant Professor from 2002 to 2006 with the Dept of Computer Science at the University of Vermont, USA, and Post-doctoral Associate with the Dept of Com-puter Science at Purdue University, USA. Prof Zhu is the Associate Editor of IEEE Transactions on Knowledge and Data Engin-eering (2009-). He has won eleven research awards worldwide, including one ARC Discovery Project and one ARC Linkage Project during his career, and has published three books, 35 journal articles, three book chapters and 75 conference proceeding papers. This wealth of knowledge and experience ensures that the DSKD Lab will continue its ground-breaking research under expert direction and expertise. Decision Systems and e-Service Intelligence Laboratory (DeSI Lab)

Director: Professor Jie Lu

The Decision Systems and e-Service Intelligence Laboratory (DeSI) focuses on the development of theories, methods, software tools and applications in the areas of decision support systems, prediction and warning systems, recommender systems, computational intelligence, uncertain information processes, risk management and e-service intelligence. The Lab's application domains include organis-ational decision-making; material, product, nuclear and service evaluations; financial and social crisis prediction and early warn-ing; resource management and planning; telecommunications and logistics customer service intelligence, and service integration of e-government, e-business and e-commence. The DeSI Lab mainly focuses on theoretical and methodological questions arising in the field of decision systems and e-service intelligence, but also actively commits 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 decision-making • bi-level decision-making • fuzzy optimisation under uncertain

information • cognitive decision analysis • soft-computing • early warning systems • risk analysis and situation awareness • emergence management and risk

analysis • e-business intelligence systems • e-government service integration and

personalisation • recommendation systems • web intelligence • genetic algorithms The DeSI Lab plays an important and success-ful role in integrating research with teaching and in 2010 Professor Jie Lu won the UTS Medal for Teaching and Research Integration. DeSI has established very successful, long-term research cooperation with a number of distinguished researchers in Europe, USA, China and the UK. The Lab also continues to participate in the European Commission under the Seventh Framework Programme (FP7) (2008-2013) on Early Recognition, Monitoring and Integrated Management of Emerging, New Technology-related Risks (iNTeg-Risk), where Jie Lu is an International Advisory Board member. DeSI has one adjunct professor and ten associate members (seven professors from overseas universities and three from Australian organisations), Innovation and Enterprise Laboratory (The Magic Lab)

Director: Professor Mary-Anne Williams

The primary objective of the Innovation and Enterprise Research Laboratory (the Magic Lab) is to understand the process of inno-vation, 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


7

Innovation and Enterprise Laboratory (cont.) 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 & business strategy

• Technology enabled business innovation

• Social and cognitive robots • Legal, social and ethical aspects of

advanced technology • Perception and decision making • Risk management and financial

services innovation • Knowledge representation and

reasoning • Strategic business innovation and

collaboration • intellectual property law In 2010, the Magic Lab achieved:

• Dr Benjamin Johnston won the 2010 Best General Artificial Intelligence Idea Prize at the 2010 Artificial Intelligence Conference, which is awarded to the paper presenting the most creative, innovative, interesting and scientifically plausible idea about achieving artificial intelligence.

• Creation of a new Nao Humanoid Robot Soccer Team which qualified for RoboCup 2011.

• Mr Xun Wang won an IBM PhD Fellowship.

• Endeavour Fellowship winner, Rony Novianto, awarded $25,000 to work for six months at the University of Lund, Sweden.

• Endeavour Fellowship was also awarded to Dr Sajjad Haider of IBA, Karachi, to visit the Magic Lab.

• Dr Ben Johnston developed a new programming language to enable the specification of robot motion and learning and created a choreographed robot dance routine.

The Magic Lab research team has also achieved significant international recognition: it is represented on prestigious Editorial Boards, holds a Fellowship at Stanford University, a Guest Professorship at the University of Science and Technology

China, Chair of Knowledge and Innovation in the Strategic Management Society, and has received invitations to the University of Cambridge, Harvard University, Stanford University, Copenhagen Business School and the Centre National de la Recherche Scientifique, France. Knowledge Infrastructure Laboratory (KIL)

Director: Dr 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: the use of agent technology to support e-Markets; by assisting clinicians and biologists in cancer diagnosis and treatment; and in development of new languages to support pattern matching. The KIL is composed of three research groups: e-Markets, 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 finance, medicine and web services. The e-Markets group, led by Prof. John Debenham, uses knowledge to support e-Markets and financial decision making. The Bio group, led by Dr Paul Kennedy, uses knowledge to support decisions in the medical and biological domains with a current focus on applying dimensionality reduction and visualisation techniques to biomedical data-sets, to better understand and diagnose childhood cancer. 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 West-mead, local and international universities, research groups, companies and industry groups including Microsoft, Alcatel-Lucent (Bell Labs), The Leading Edge and the Institute of Analytic Professionals Australia.


8

Knowledge Infrastructure Laboratory (cont.) In 2010, the KIL achieved: • Prof John Debenham was awarded a

UTS Bridging Grant amounting to $107,610 for 2010.

• Cancer Institute NSW provided a Research Innovation grant to Daniel Catchpoole and Paul Kennedy of $50,000 for, "Implementing personalised medicine using global genomic similarity".

• Longbing Cao, Richard Raban, Paul Kennedy, Igor Hawryszkiewycz, Tich Phuoc Tran, Peter Kandlbinder won a UTS VC's Strategic Teaching and Learning Grant 2010 for the project, "Inform course learning and renewal by deeply understanding cause-effect of student learning behaviours and performance", $34,000.

• Appointment of two adjunct professors: - Prof Simeon Simoff (UWS) - Dr Daniel Catchpoole

• Appointment of Honorary Associate Dr John Milton.

Quantum Computation Laboratory (QCL)

Director: Associate 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. The Lab is also interested in the field of Artificial Intelligence and aims to undertake research to discover possible connections between AI and quantum computing. The Lab’s major achievements in 2010 include: • One prestigious ECR Award and two

competitive grants:

- October 2010: Assoc Prof Sanjiang Li won the 2010 UTS Early Career Research Excellence Award, given

for outstanding research by an early career researcher who completed their PhD less than ten years ago.

- October 2010: Prof Mingsheng Ying and Assoc Prof Yuan Feng were awarded an ARC Discovery Grant for $300,000 to be initiated in January 2011.

- February 2010: Prof Runyao Duan won a UTS Early Career Research Grant for $24,848 with project advisor, Prof Mingsheng Ying.

• Assoc Profs Runyao Duan and Yuan Feng, and Prof Mingsheng Ying were finalists in a team entry for the Vice-Chancellor's Medal for Exceptional Research.

• Assoc Prof Yuan Feng was awarded an ARC Future Fellowship from 2010-2014.

Significant research breakthroughs for QCL include:

• Assoc Profs Yuan Feng and Runyao Duan, and Prof Mingsheng Ying introduced a notion of bisimulation for quantum processes, paving the way for a framework of verifying complex quantum protocols as well as a comprehensive theory of quantum communication and concurrency.

• Assoc Prof Runyao Duan, together with co-workers, discovered a striking stochastic entanglement catalysis effect and further advanced the connection between tensor rank and stochastic entanglement transformation theory.

• Prof Mingsheng Ying developed a Floyd-Hoare logic for quantum programs which is the foundation of quantum programming.

• 24 original research publications or presentations including: 5 A* ERA ranked journal papers; 10 A ERA ranked journal papers; 4 A ERA ranked conference presentations.

The QC Lab has also successfully continued to closely collaborate with distinguished researchers from the follow-ing world-leading institutions in quantum computation and quantum information: MIT, US; IBM Research, US; The University of Michigan, US; Perimeter Institute for Theoretical Physics (PI), Canada; Institute for Quantum Computing (IQC) at The University of Waterloo, Canada; Centre for Quantum Technologies (CQT) at The National University of Singapore; Oxford University, UK; University of Bristol, UK; University College London, UK.


9

4. QCIS Research Achievements: 2010

List of Publications (ERA ranked A*/A papers: Journals and Conferences) ERA ranked 'A*' Journal Papers 1. Bo Xie, Meng Wang & Dacheng Tao.

2011. Toward the Optimization of Normalized Graph Laplacian. IEEE Transactions on Neural Networks, vol.22, no.4, pp.660-666.

2. Xinbo Gao, Qian Wang, Xuelong Li, Dacheng Tao & Kaibin Zhang. 2011. Zernike Moment-Based Image Super Resolution. IEEE Transactions on Image Processing. Accepted.

3. Xinbo Gao, Xiumei Wang, Xuelong Li & Dacheng Tao. 2011. Transfer Latent Variable Model Based on Divergence Analysis. Pattern Recognition. Accepted on June 19 2010.

4. Bo Geng, Dacheng Tao & Chao Xu. 2011. DAML: Domain Adaptation Metric Learning. IEEE Transactions on Image Processing. Accepted.

5. Randy Goebel & Mary-Anne Williams. 2011. Editorial: The expansion continues: Stitching together the breadth of disciplines impinging on Artificial Intelligence. Artificial Intelligence, vol.175, no.5-6, pp.929.

6. Naiyang Guan, Dacheng Tao, Zhigang Luo & Bo Yuan. 2011. Manifold Regularized Discriminative Non-negative Matrix Factorization with Fast Gradient Descent. IEEE Transactions on Image Processing. Accepted.

7. Mingli Song, Dacheng Tao, Chun Chen, Jiebo Luo & Chengqi Zhang. 2011. Probabilistic Exposure Fusion. IEEE Transactions on Image Processing. Accepted.

8. Xinchao Wang, Zhu Li & Dacheng Tao. 2011. Subspaces Indexing Model on Grassmann Manifold for Image Search. IEEE Transactions on Image Processing. Accepted.

9. Ying Wang, Dacheng Tao, Xinbo Gao, Xuelong Li & Bin Wang. 2011. Feature Embedded Vector-valued Contour-based Level Set Method with Relaxed Shape Constraint for Mammographic Mass Segmentation. Pattern Recognition. Accepted on 10 August 2010.

10. Bian Wei & Tao Dacheng. 2011. Max-Min Distance Analysis by Using Sequential SDP Relaxation for Dimension Reduction. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, no.5, pp.1037-1050.

11. Xiaowei Yang, Guangquan Zhang, Jie Lu

& Jun Ma. 2011. A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises. IEEE Transactions on Fuzzy Systems, vol.19, no.1, pp.105-115.

12. Luming Zhang, Tao Mei, Yuan Liu, Dacheng Tao & Heqin Zhou. 2011. Visual search reranking via adaptive particle swarm optimization. Pattern Recognition, vol.44, no.8, pp.1811-1820.

13. Peng Zhang, Xingquan Zhu, Yong Shi, Li Guo & Xindong Wu. 2011. Robust ensemble learning for mining noisy data streams. Decision Support Systems, vol.50, no.2, pp.469-479.

14. Xingquan Zhu, Bin Li, Xindong Wu, Dan He & Chengqi Zhang. 2011. CLAP: Collaborative Pattern Mining for Distrib-uted Information Systems. Decision Support Systems. Accepted on January 29, 2011.

15. Wei Bian & Dacheng Tao. 2010. Biased Discriminant Euclidean Embedding for Content-Based Image Retrieval. IEEE Transactions on Image Processing, vol.19, no.2, pp.545-554.

16. Daniel Catchpoole, Paul Kennedy, David Skillicorn & Simeon Simoff. 2010. The curse of dimensionality: a blessing to personalised medicine. Journal of Clinical Oncology, vol.28, no.34, pp.723-724.

17. Lin Chen, Eric Chitambar, Runyao Duan, Zhengfeng Ji & Andreas Winter. 2010. Tensor Rank and Stochastic Entanglement Catalysis for Multipartite Pure States. Physical Review Letters, vol.105, no.20. 200501.

18. Xie Chen, Runyao Duan, Zhengfeng Ji & Bei Zeng. 2010. Quantum state reduction for universal measurement based computation. Physical Review Letters, vol.105, no.2. 020502.

19. Xinbo Gao, Ying Wang, Xuelong Li & Dacheng Tao. 2010. On Combining Morphological Component Analysis and Concentric Morphology Model for Mammographic Mass Detection. IEEE Transactions on Information Technology in Biomedicine, vol.14, no.2, pp.266-273.

20. Ya Gao, Guangquan Zhang, Jun Ma & Jie Lu. 2010. A λ-cut and goal programming based algorithm for fuzzy linear multiple objective bi-level optimization. IEEE Transactions on Fuzzy Systems, vol.18, no.1, pp.1-13.


10

ERA ranked 'A*' Journal Papers (cont.) 21. Randy Goebel and Mary-Anne Williams.

2010.The expanding breadth of artificial in-telligence research. Artif Intell. 174 (2): 133.

22. Weiming Liu, Xiaotong Zhang, Sanjiang Li & Mingsheng Ying. 2010. Reasoning about cardinal directions between extended objects. Artificial Intelligence, vol.174, no.12-13, pp.951-983.

23. Si Si, Dacheng Tao & Kwok-Ping Chan. 2010. Evolutionary Cross-Domain Discriminative Hessian Eigenmaps. IEEE Transactions on Image Processing, vol.19, no.4, pp.1075-1086.

24. Dongjin Song & Dacheng Tao. 2010. Bio-logically Inspired Feature Manifold for Scene Classification. IEEE Transactions on Image Processing, vol.19, no.1, pp.174-184.

25. Mingli Song, Dacheng Tao, Chun Chen, Xuelong Li & ChangWen Chen. 2010. Color to Gray: Visual Cue Preservation. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, no.9, pp.1537-1552.

26. Xinmei Tian, Dacheng Tao, Xiansheng Hua & Xiuqing Wu. 2010. Active Re-ranking for Web Image Search. IEEE Transactions on Image Processing, vol.19, no.3, pp.805-820.

27. Mingsheng Ying. 2010. Quantum computation, quantum theory and AI. Artificial Intelligence, vol.174, no.2, pp.162-176.

28. Mingsheng Ying & Yuan Feng. 2010. A Flowchart Language for Quantum Programming. IEEE Transactions on Software Engineering. Accepted.

ERA ranked 'A' Journal Papers 28. Jianxin Chen, Xie Chen, Runyao Duan,

Zhengfeng Ji & Bei Zeng. 2011. No-go theorem for one-way quantum computing on naturally occuring two-level systems. Physical Review A (Rapid Communi-cations). Accepted on 8 Apr 2011.

29. Jun Cheng, Maoying Qiao, Wei Bian & Dacheng Tao. 2011. 3D Human Posture Segmentation by Spectral Clustering with Surface Normal Constraint. Signal Processing. Accepted.

30. Xinbo Gao, Jinguang Chen, Dacheng Tao & Xuelong Li. 2011. Multi-Sensor Centralized Fusion without Measurement Noise Covariance by Variational Bayesian Approximation. IEEE Transactions on Aerospace and Electronic Systems, vol.47, no.1, pp.718-272.

31. Xinbo Gao, Rong Fu, Xuelong Li, Dacheng Tao, Beichen Zhang & Huigen Yang. 2011. Aurora Image Segmentation by Combining Patch and Texture Thresh-olding. Computer

Vision and Image Under-standing, vol.115,

no.3, pp.390-402. 32. Xinbo Gao, Bin Wang, Dacheng Tao &

Xuelong Li. 2011. A Relay Level Set Method for Automatic Image Segmentation. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol.41, no.2, pp.518-525.

33. Xinbo Gao, Xiumei Wang, Dacheng Tao & Xuelong Li. 2011. Supervised Gaussian Process Latent Variable Model for Dimensionality Reduction. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol.41, no.2, pp.425-434.

34. Kaiqi Huang, Dacheng Tao, Yuan Yuan, Xuelong Li & Tieniu Tan. 2011. Biolog-ically Inspired Features for Scene Classif-ication in Video Surveillance. IEEE Transact-ions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol.41, no.1, pp.307-313.

35. Qinghua Huang, Dacheng Tao, Xuelong Li & Lianwen Jin. 2011. A Novel Unsuper-vised Feature Ranking Algorithm Based on Local Coherent Patterns Discovery. IEEE Transactions on Systems, Man and Cyber-netics, Part B. Accepted on April 8 2011.

36. Si Si, Wei Liu, Dacheng Tao & Kwok-Ping Chan. 2011. Distribution Calibration in Riemannian Symmetric Space. IEEE Transactions on Systems, Man, and Cyber-netics, Part B: Cybernetics. Accepted.

37. Bo Xie, Yang Mu, Dacheng Tao & Kaiqi Huang. 2011. m-SNE: Multiview Stochastic Neighbor Embedding. IEEE Transactions on Systems, Man and Cybernetics Part B. Accepted.

38. Guangquan Zhang, Zheng Zheng, Jie Lu & Qing He. 2011. An Algorithm For Solving Rule Sets Based Bilevel Decision Problems. Computational Intelligence, vol.27, no.2, pp.235-259.

39. Jie Zhang, Jie Lu & Guangquan Zhang. 2011. A seasonal autocorrelation based vector regression prediction method for H5N1 avian influenza animal events. International Journal of Computational Intelligence and Applications. Accepted on 14 February 2011.

40. Lefei Zhang, Liangpei Zhang, Dacheng Tao & Xin Huang. 2011. A Multi-feature Tensor for Remote-Sensing Target Recognition. IEEE Geoscience and Remote Sensing Letters, vol.8, no.2, pp.374-378.

41. Ruijun Zhang, Jie Lu & Guangquan Zhang. 2011. An Information Presentation Method Based On Tree-like Super Entity Component. Journal of Systems and Software. Accepted.

42. Tianyi Zhou, Dacheng Tao & Xindong Wu. 2011. Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction. Data Mining and Knowledge Discovery, vol.22, no.3, pp.340-371.

http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/g/Goebel:Randy.html�

http://www.informatik.uni-trier.de/~ley/db/journals/ai/ai174.html#GoebelW10�


11

ERA ranked 'A' Journal Papers (cont.)

43. Xingquan Zhu. 2011. Cross Domain Semi-Supervised Learning Using Feature Formulation. IEEE Trans On Systems Man and Cybernetics, Part B. Accepted on March 23 2011.

44. Longbing Cao. 2010. Domain-Driven Data Mining: Challenges and Prospects. IEEE Transactions on Knowledge and Data Engineering, vol.22, no.6, pp.755-769.

45. Longbing Cao, Huaifeng Zhang, Yanchang Zhao, Dan Luo & Chengqi Zhang. 2010. Combined Mining: Discovering Informative Knowledge In Complex Data. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol.40, no.6, pp.1-14.

46. Longbing Cao, Yanchang Zhao, Huaifeng Zhang, Dan Luo, Chengqi Zhang & E. K. Park. 2010. Flexible Frameworks for Actionable Knowledge Discovery. IEEE Transactions on Knowledge and Data Engineering, vol.22, no.9, pp.1299-1312.

47. Jianxin Chen & Mingsheng Ying. 2010. Ancilla-assisted Discrimination of Quant-um Gates. Quantum Information and Computation, vol.10, no.1-2, pp.160-177.

48. Eric Chitambar, Runyao Duan & Yaoyun Shi. 2010. Multipartite-to-bipartite entanglement transformations and polynomial identity testing. Physical Review A, vol.81, no.5. 052310.

49. Cheng Deng, Xinbo Gao, Xuelong Li & Dacheng Tao. 2010. Local histogram based geometric invariant image watermarking. Signal Processing, vol.90, no.12, pp.3256-3264.

50. Runyao Duan, Yu Xin & Mingsheng Ying. 2010. Locally Indistinguishable Subspaces Spanned By Three-qubit Unextendible Product Bases. Physical Review A, vol.81, no.3. 032329.

51. Xinbo Gao, Cheng Deng, Xuelong Li & Dacheng Tao. 2010. Geometric Distortion Insensitive Image Water-marking in Affine Covariant Regions. IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, vol.40, no.3, pp.278-286.

52. Ya Gao, Guangquan Zhang, Jie Lu & Huiming Wee. 2010. Particle Swarm Optimization For Bi-level Pricing Problems In Supply Chains. Journal of Global Optimization. Accepted.

53. Dan He, Xingquan Zhu & Xindong Wu. 2010. Mining Approximate Repeating Patterns from Sequence Data with Gap Constraints. Computational Intelligence. Accepted on 2 June 2010.

54. Zhengfeng Ji, Jianxin Chen, Zhaohui Wei & Mingsheng Ying. 2010. The LU-LC Conjecture Is False. Quantum

Information & Computation, vol.10, no.1-2, pp.97-108.

55. John Milton and Paul Kennedy. 2010. Static and Dynamic Selection Thresholds Governing The Accumulation Of Information In Genetic Algorithms Using Ranked Populations. Evolutionary Computation, vol.18, no.2, pp.229-254.

56. Sanjiang Li & Anthony G Cohn. 2010. Reasoning with topological and directional spatial information. Computational Intelligence. Accepted.

57. Xuelong Li, Yanting Hu, Xinbo Gao, Dacheng Tao & Beijia Ning. 2010. A Multi-Frame Image Super-Resolution Method. Signal Processing, vol.90, no.2, pp.405-414.

58. Yangjia Li, Runyao Duan & Mingsheng Ying. 2010. Local Unambiguous Discrimination With Remaining Entanglement. Physical Review A, vol.82, no.3. 032339.

59. Jie Lu & Guangquan Zhang. 2010. Guest editorial: a special issue on optimization techniques for business intelligence systems. Journal of Global Optimization. Accepted.

60. Si Si, Dacheng Tao & Bo Geng. 2010. Bregman Divergence-Based Regularization for Transfer Subspace Learning. IEEE Transactions on Knowledge and Data Engineering vol.22, no.7, pp.929-942.

61. Mingli Song, Dacheng Tao, Zicheng Liu, Xuelong Li & Mengchu Zhou. 2010. Image Ratio Features for Facial Expression Recognition Application. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics vol.40, no.3, pp.779-788.

62. Mingli Song, Dacheng Tao, Zhuo Sun & Xuelong Li. 2010. Visual-Context Boosting for Eye Detection. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol.40, no.6, pp.1460-1467.

63. Bin Wang, Xinbo Gao, Dacheng Tao & Xuelong Li. 2010. A Unified Tensor Level Set for Image Segmentation. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol.40, no.3, pp.857-867.

64. Tao Wang, Zhenxing Qin, Zhi Jin & Shichao Zhang. 2010. Handling over-fitting in test cost-sensitive decision tree learning by feature selection, smoothing and pruning. Journal of Systems and Software, vol.83, no.7, pp.1137-1147.

65. Xinchao Wang, Dacheng Tao & Zhu Li. 2010. Entropy controlled Laplacian regularization for least square regression. Signal Processing, vol.90, no.6, pp.2043-2049.


12

ERA ranked 'A' Journal Papers (cont.)

66. Tian Xia, Dacheng Tao, Tao Mei & Yongdong Zhang. 2010. Multiview Spectral Embedding. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol.40, no.6, pp.1438-1446.

67. Mingsheng Ying & Yuan Feng. 2010. Quantum loop programs. Acta Informatica, vol.47, no.4, pp.221-250.

68. Nengkun Yu, Runyao Duan & Mingsheng Ying. 2010. Optimal simulation of a perfect entangler. Physical Review A, vol.81, no.3. 032328.

69. Nengkun Yu, Cheng Guo, Eric Chitambar & Runyao Duan. 2010. Tensor rank of the tripartite state |W\rangle^{\otimes n}. Physical Review A, vol.81, no.1. 014301.

70. Chengqi Zhang, Philip S. Yu & David Bell. 2010. Introduction to the Domain-Driven Data Mining Special Section. IEEE Transactions on Knowledge and Data Engineering, vol.22, no.6, pp.753-754.

71. Guangquan Zhang & Jie Lu. 2010. Fuzzy Bi-level Programming With Multiple Objectives And Cooperative Multiple Followers. Journal of Global Optimization, vol.47, no.3, pp.403-419.

72. Shichao Zhang, Zhi Jin & Jingli Lu. 2010. Summary queries for frequent itemsets mining. Journal of Systems and Software, vol.83, no.3, pp.405-411.

73. Tianhao Zhang, Kaiqi Huang, Xuelong Li, Jie Yang & Dacheng Tao. 2010. Discriminative Orthogonal Neighborhood-Preserving Projections for Classification. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics vol.40, no.1, pp.253-263.

74. Xingquan Zhu, Peng Zhang, Xiaodong Lin & Yong Shi. 2010. Active Learning From Stream Data Using Optimal Weight Classifier Ensemble. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol.40, no.6, pp.1607-1621.

ERA ranked 'A' Conference Proceedings 75. Vahid Behbood, Jie Lu & Guangquan

Zhang. 2011. Long Term Bank Failure Prediction Using Fuzzy Refinement-based Transductive Transfer Learning. IEEE International Conference on Fuzzy Systems (FUZZ - IEEE2011). 27-30 June 2011, Taipei, Taiwan.

76. Wei Bian & Dacheng Tao. 2011. Learning a Distance Metric by Empirical Loss Minimization. International Joint Conferences on Artificial Intelligence. 16-22 July 2011 Barcelona, Spain.

77. Ling Chen & Chengqi Zhang. 2011. Semi-

supervised Variable Weighting for Clustering. SIAM International Conference on Data Mining (SDM). pp.862-871.

78. Yuan Feng, Runyao Duan & Mingsheng Ying. 2011. Bisimulation for Quantum Processes. Acm Sigplan Notices,The 38th Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL2011). pp.523-534.

79. Yifan Fu & Xingquan Zhu. 2011. Optimal Subset Selection for Active Learning. The 25th Annual American Association for the Advancement of Artificial Intelligence Conference (AAAI-11)[Poster]. 7-11 August 2011, San Francisco, USA.

80. Ting Guo, Zhanshan Li, Ruizhi Guo & Xingquan Zhu. 2011. Large Scale Diagnosis using Associations between System Outputs and Components. The 25th Annual American Association for the Advancement of Artificial Intelligence Conference (AAAI-11)[Poster]. 7-11 August 2011, San Francisco, USA.

81. Bin Li, Xingquan Zhu, Ruijiang Li, Chengqi Zhang, Xiangyang Xue & Xindong Wu. 2011. Cross Domain Collaborative Filtering over Time. The 22nd International Joint Conference on Artificial Intelligence (IJCAI-11). July 16-22, 2011, Barcelona, Spain.

82. Ruijiang Li, Bin Li, Cheng Jin, Xiangyang Xue & Xingquan Zhu. 2011. Tracking User-Preference Varying Speed in Collab-orative Filtering. The 25th Annual American Association for the Advance-ment of Artificial Intelligence Conference (AAAI-11). 7-11 August 2011, San Francisco, USA.

83. Guohua Liang, Xingquan Zhu & Chengqi Zhang. 2011. An Empirical Study of Bagging Predictors for Different Learning Algorithms. The 25th Annual American Association for the Advancement of Artificial Intelligence Conference (AAAI-11)[Poster]. 7-11 August 2011, San Francisco, USA.

84. Yang Mu, Wei Ding, Dacheng Tao & Tom Stepinski. 2011. Biologically Inspired Model for Crater Detection. IEEE International Joint Conference on Neural Networks. July 31-August 5, 2011., San Jose, California, USA.

85. Odysseas Papapetrou & Ling Chen. 2011. XStreamCluster: An Efficient Algorithm for Streaming XML Data Clustering. Internat-ional Conference on Database Systems for Advanced Applications (DASFAA). Springer Berlin / Heidelberg, pp.496-510.

86. Hui Wu, Guangzhi Qu & Xingquan Zhu. 2011. Self-Adjust Local Connectivity Analysis for Spectral Clustering. The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining. 24-27 May 2011, Shenzhen, China


13

ERA ranked 'A' Conference Proceedings (cont.) 87. Peng Zhang, Jun Li, Peng Wang, Jianlong

Tan, Byron J. Gao, Xingquan Zhu & Li Guo. 2011. Enabling Efficient Prediction for Ensemble Models on Data Streams. The 17th ACM SIGKDD Conference on Knowl-edge Discovery and Data Mining. August 21-24, 2011, San Diego, California, USA.

88. Tianyi Zhou & Dacheng Tao. 2011. Learn Low-rank and Sparse Structures via Randomized Alternating Projections. The 28th International Conference on Machine Learning. June 28-July 2, 2011, Bellevue, Washington, USA.

89. Longbing Cao, Yuming Ou, Philip S YU & Gang Wei. 2010. Detecting abnormal coupled sequences and sequence changes in group-based manipulative trading behaviors. KDD2010. pp.85-94.

90. Shan Chen & Mary-Anne Williams. 2010. Privacy: An Ontological Problem. Pacific Asia Conference on Information Systems (PACIS2010). pp.1402-1413.

91. Matt Duckham, Myeong Hun Jeong, Sanjiang Li & Jochen Renz. 2010. Decentralized querying of topological relations between regions without using localization. The 18th International conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2010). 2-5 November 2010, San Jose, California,USA. pp.414-417.

92. Steve Elliot & Mary-Anne Williams. 2010. World-Class IS-Enabled Business Innovation: A Case Study of IS Leadership, Strategy and Governance. Pacific Asia Conference on Information Systems (PACIS2010). pp.1814-1821.

93. Dan He, Xindong Wu & Xingquan Zhu. 2010. Rule Synthesizing from Multiple Related Databases. M. Zaki, J. Yu, B. Ravindran & V. Pudi, (eds.) The 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-10). June 2010, Hyderabad, India. Springer Berlin / Heidelberg, pp.201-213.

94. Jun Li & Dacheng Tao. 2010. An Exponential Family Extension to Principal Component Analysis. International Conference on Neural Information. 22-25 November 2010, Sydney, Australia.

95. Sanjiang Li. 2010. A layered graph representation for complex regions. The 12th International Conference on the Principles of Knowledge Representation and Reasoning (KR-10). 9-13 May 2010, Toronto, Canada. pp.581-583.

96. Sanjiang Li & Weiming Liu. 2010. Topological relations between convex regions. The 24th AAAI Conference on Artificial Intelligence (AAAI-10). 11-15 July 2010, Atlanta, Georgia, USA. pp.321-6.

97. Bo Liu, Yanshan Xiao, Longbing Cao & Philip S Yu. 2010. Orientation distance-based discriminative feature extraction for multi-class classification. CIKM2010. pp.909-918.

98. Bo Liu, Jie Yin, Yanshan Xiao, Longbing Cao & Philip S Yu. 2010. Exploiting local data uncertainty to boost global outlier detection. ICDM2010. pp.304-313.

99. Wei Liu, Xinmei Tian, Dacheng Tao & Jianzhuang Liu. 2010. Constrained metric learning via distance gap maximization. The 24th AAAI Conference on Artificial Intelligence (AAAI). 11-15 July 2010, Atlanta, Georgia, USA. pp.518-524.

100. Zhengyu Lu, Xindong Wu, Xingquan Zhu & Josh Bongard. 2010. Ensemble Pruning via Individual Contribution Ordering. The 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2010). 25-28 July 2010, Washington, DC, USA. pp.871--880.

101. John Milton & Paul J. Kennedy. 2010. Entropy profiles of ranked and random populations. The 12th Annual Conference Companion on Genetic and Evolutionary Computation. Portland, Oregon, USA. ACM, pp.1843-1850.

102. Jebrin Sharawneh & Mary-Anne Williams. 2010. Credibility-based Social Network Recommendation: Follow the Leader(The 3rd Best Paper Award). The 21st Australasian Conference On Information System(ACIS 2010). 1-3 December 2010, Brisbane, Australia.

103. Guoxin Su, Mingsheng Ying & Chengqi Zhang. 2010. An ADL-Approach to Specifying and Analyzing Centralized-Mode Architectural Connection. Software Architecture. pp.8-23.

104. Wei Wang, Steve Elliot & Mary-Anne Williams. 2010. An IS contribution to the UN Millennium Development Goals: Next Generation Vaccination Management in the Developing World. The 21st Australasian Conference On Information System(ACIS 2010). 1-3 December 2010, Brisbane, Australia.

105. Xun Wang & Mary-Anne Williams. 2010. A Practical Risk Management Framework for Intelligent Information Systems. Pacific Asia Conference on Information Systems (PACIS). pp.1866-1873.


14

ERA ranked 'A' Conference Proceedings (cont.) 106. Yanshan Xiao, Bo Liu & Longbing Cao.

2010. K-farthest-neighbors-based concept boundary determination for support vector data description. CIKM2010. pp.1701-1704.

107. Yanshan Xiao, Bo Liu, Longbing Cao, Jie Yin & Xindong Wu. 2010. SMILE: A similarity-based approach for multiple instance learning. ICDM2010. pp.589-598.

108. Bo Xie, Yang Mu & Dacheng Tao. 2010. m-SNE: Multiview Stochastic Neighbor Embedding. International Conference on Neural Information. 22-25 November 2010, Sydney, Australia. pp.338-346.

109. Bo Xie, Mingli Song, Yang Mu & Dacheng Tao. 2010. Random Projection Tree and Multiview Embedding for Large-scale Image Retrieval. International Conference on Neural Information. 22-25 November 2010, Sydney, Australia. pp.641-649.

110. Tao Yang, Longbing Cao & Chengqi Zhang. 2010. A Novel Prototype Reduction Method for the K-Nearest Neighbor Algorithm with K >= 1(Best Paper Runner up Award). Advances in Knowledge Discovery and Data Mining(PAKDD2010). pp.89-100.

111. Tao Yang, Vojislav Kecman, Longbing Cao & Chengqi Zhang. 2010. Combining Support Vector Machines and the t-statistic for Gene Selection in DNA Microarray Data Analysis. Advances in Knowledge Discovery and Data Mining(PAKDD2010). pp.55-62.

112. Tao Yang, Vojislav Kecman, Longbing Cao & Chengqi Zhang. 2010. Testing Adaptive Local Hyperplane for Multi-class Classification by Double Cross-Validation. International Joint Conference on Neural Networks (IJCNN 2010). pp.1-5.

113. Chao Zhang & Dacheng Tao. 2010. Error Bounds for Real Function Classes Based on Discretized Vapnik-Chervonenkis Dimensions. International Conference on Neural Information. 22-25 November 2010, Sydney, Australia.

114. Heng Zhang & Mingsheng Ying. 2010. Decidable fragments of first-order language under stable model semantics and circumscription. The 24th AAAI Conference on Artificial Intelligence (AAAI-10). 11-15 July 2010, Atlanta, Georgia, USA. pp.375-380.

115. Peng Zhang, Xingquan Zhu, Jianlong Tan & Li Guo. 2010. SKIF: A data imputation framework for concept drifting data streams. The 19th ACM international conference on Information and knowledge management. 26-30 October 2010, Toronto, Canada. ACM, pp.1869-1872.

116. Peng Zhang, Xingquan Zhu, Jianlong Tan & Li Guo. 2010. Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams. The 10th IEEE Internatonal Conference on Data Mining (ICDM). 13-17 December 2010. pp.1175-1180.

117. Zhigang Zheng, Yanchang Zhao, Ziye Zuo & Longbing Cao. 2010. An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns. PAKDD2010. pp.262-273.

118. Tianyi Zhou & Dacheng Tao. 2010. Backward-Forward Least Angle Shrinkage for Sparse Quadratic Optimization. International Conference on Neural Information. 22-25 November, 2010, Sydney, Australia. pp.388-396.

119. Tianyi Zhou, Dacheng Tao & Xindong Wu. 2010. NESVM: a Fast Gradient Method for Support Vector Machines. IEEE International Conference on Data Mining. 14-17 December 2010, Sydney, Australia. pp.679-688.

120. Zhenfeng Zhu, Xingquan Zhu, Yifei Guo & Xiangyang Xue. 2010. Transfer Incremental Learning for Pattern Classification. The 19th ACM International Conference on Information and Knowledge Management (CIKM-2010). 26-30 October 2010, Toronto, Canada. pp.1709-1712.


15

Summary of ARC Grants in 2010 In 2010, there were a total of 16 continuing ARC grants, including ten DP grants, three LP grants, and three Future Fellow grants, as follows.

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 Planning, Communication, and

Collaboration in Cognitive Systems: A Constructive Approach

DP0773592 Prof Mary-Anne Williams; Prof Peter Gärdenfors

2007: $89,000 2008: $83,000 2009: $86,000 2010: $89,000

2 A Comprehensive Platform for Dynamic Decision Support in Warning Systems through Better Management of Uncertain Information

DP0880739 Prof Jie Lu; Dr Guangquan Zhang Prof Da Ruan

2008: $69,000 2009: $63,000 2010: $59,000

3 "It's all about me" – Anthropomorphised Trading in Believable Electronic Markets

DP0879789 Prof Simeon Simoff Prof John Debenham Prof Carles Sierra Prof Ian Wilkinson

2008: $123,210 2009: $118,000 2010: $112,000

4 Developing and Managing Sustainable Technology-Enabled Innovation Capab-ilities: An Information Systems Approach

DP0881876 Prof Steve Elliot Prof Mary-Anne Williams

2008: $95,000 2009: $90,000 2010: $85,000

5 Discovering Activity Patterns Driven by High Impacts in Heterogeneous and Imbalanced Data

DP0988016 Prof Longbing Cao Prof Chengqi Zhang

2009: $113,000 2010: $110,000 2011: $105,000

6 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

7 Pattern Discovery of Discriminating Behaviour Associated with Hidden Communities

DP1096218 Prof Longbing Cao Prof Philip S Yu

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

8 Mining Multiple Information Sources through Collaborative and Comparative Analysis

DP1093762 Prof Chengqi Zhang Prof Xingquan Zhu A/Prof Jian Pei

2010: $115,000 2011: $110,000 2012: $110,000

9 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

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

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

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

No. Title & Partner Organisation Project ID Chief & Partner

Investigators Grant Year/ Amount

A R C L I N K A G E G R A N T S 11 Smart communications network

management: Delivering bundled inter-dependent services across internet-worked heterogeneous domains. Partner Organisation: Alcatel-Lucent (Australasia) Pty Ltd

LP0883580 Prof John Debenham Prof Simeon Simoff Adj Prof John Leaney Mr Mark Hunter Dr Dominique Verchere

2008: $55,000 2009: $100,000 2010: $85,000 2011: $40,000

12 Pattern Analysis and Risk Control of E-Commerce Transactions to Secure Online Payments Partner Organisation: Westpac Banking Corporation

LP0989721 Prof Longbing Cao Prof Chengqi Zhang Mr Benjamin Young

2009: $115,000 2010: $110,000 2011: $105,000

13 Detecting Significant changes in Organisation-Customer interactions leading to non-compliance

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


16

Summary of ARC Grants (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 14 Spatial Cognition – Expressive

Representation Formalisms and Effective Reasoning

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

2013: $85,800 15 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 16 Novel Data Mining Techniques for

Complex Network Analysis and Control FT100100971 A/Prof Xingquan Zhu 2010: $83,558

2011: $165,767 2012: $164,418 2013: $154,418

2014: $82,209 List of other Grants (CRC, Industry, UTS)


CMCRC GRANTS 1 Health Insurance Behaviour Analysis and

Fraud Control. CMCRS Scholarship – industry project

N/A Prof Longbing Cao 2008: $200,000 2009: $200,000 2010: $200,000

OTHER INDUSTRY GRANTS 1 Designing Out Crime Research Centre

NSW Government Attorney General's Dept (Crime & Prevention Div)

N/A Prof Longbing Cao 2008-2010: $450,000

2 Detecting Incorrect Income Declaration in Real Time Centrelink industry project

N/A Prof Longbing Cao 2010: $50,000

3 Centrelink Fraud Investigation: Opportunities and Test Centrelink industry project

RES 10/421

Prof Longbing Cao Prof Chengqi Zhang

2010: $29,000

4 Web-based Telecom Service Recommendation System Optus industry project

N/A Prof Jie Lu A/Prof Guangquan Zhang

2010-2011: $160,000

5 Implementing Personalised Medicine using Global Genomic Similarity Cancer Institute of NSW Research Innovation Grant

N/A Dr D Catchpoole Dr Paul Kennedy

2011: $50,000

UTS GRANTS 1 Visual analytics methods for discovering

and evaluating functional relationships between genes for paediatric cancer and diabetes sufferers Challenge Grant

N/A Dr Paul Kennedy Dr A Simpson Dr B O'Brien, Dr M Burn Prof S Simoff Prof D Catchpoole

2009: $23,000 2010: $23,000

2 Efficient Mining of Negative Sequential Patterns ECRG Grant

N/A Dr Yanchang Zhao 2009-2010: $24,941

3 Inform course learning and renewal by deeply understanding cause-effect of student learning behaviours and performance VC's Strategic Teaching & Learning Grant

N/A Prof Longbing Cao Dr Richard Raban Dr Paul Kennedy Dr Igor Hawryszkiewycz Mr Tich Phuoc Tran Dr Peter Kandlbinder

2010: $34,000


17

List of Other Grants (cont.)


4 Non-Destructive Sensing of Food for Prevention of Food Poisoning and Waste Challenge Grant

N/A Dr Johnson Agbinya Dr Adel Al-Jumaily Dr Haiyan Lu Dr Ahmed Al-Aani,

2010: $30,000

5 Faithful Transmission of Quantum Information with Noisy Channels ECR Grants Scheme

N/A Dr Runyao Duan 2010: $24,848

6 Teaching and Learning Resource Package for Computer Graphics Subjects FEIT Teaching & Learning Grant

N/A Dr Haiyan Lu Dr Yusuf Pisan Dr Kevin Suffern Dr Richard Raban

2010: $10,000

7 Open, distributed computer systems that manage themselves. UTS Bridging Grant

N/A Prof John Debenham 2010: $107,610

8 Making Sense of Data in Childhood Cancer UTS Partnership Grant

N/A Dr Paul Kennedy Dr D R Catchpoole

2010: $30,000

Students (Current and Graduated)

Current research students

Student Name Supervisors Admission date PhD / Masters

Mr Hans Bohlscheid Prof Longbing Cao January 2009 PhD P/T Mr Jiahang (Jason) Chen Prof Longbing Cao March 2010 Master's Mr Xuhui Fan Prof Longbing Cao August 2010 PhD Ms Hoscke, Wen (Bonnie) Prof L Cao/Dr L Chen March 2010 Master's P/T Mr Jinjiu Li Prof Longbing Cao July 2009 PhD Mr Bo Liu Prof Longbing Cao August 2008 PhD Mr Chayapol (Paul) Moemeng Prof Longbing Cao March 2007 PhD Mr Sojen Pradhan Prof Longbing Cao January 2010 PhD Mr Xiong Wei Shi Prof Longbing Cao January 2008 MA P/T Mr Yin Song Prof Longbing Cao August 2010 PhD Mr Xuchun (Tony) Su Prof Longbing Cao January 2009 MA P/T Ms Can Wang Prof Longbing Cao July 2009 PhD Ms Yanshan (Susan) Xiao Prof Longbing Cao August 2008 PhD Mr Junfu Yin Prof Longbing Cao August 2010 PhD Mr Yiling Zeng Prof Longbing Cao March 2010 PhD/Visitor Mr Zhigang Zheng Prof Longbing Cao August 2008 PhD Mr Lin Zhu Prof Longbing Cao March 2010 PhD/Visitor Ms Ziye (Janet) Zuo Prof Longbing Cao August 2008 PhD Ms Guohua Liang Prof Chengqi Zhang March 2005 PhD P/T Mr Chao Luo Prof Chengqi Zhang July 2007 PhD Ms Wei Wei Prof Chengqi Zhang July 2009 PhD Ms Shanshan Wu Prof Chengqi Zhang August 2008 PhD Mr Yong Yang Prof Chengqi Zhang February 2009 PhD Mr Tao (Alan) Wang A/Prof Shichao Zhang July 2006 PhD P/T Mr William Wu A/Prof Shichao Zhang July 2005 PhD P/T Ms Yifan Fu Prof Xingquan (Hill) Zhu January 2010 PhD Mr Yi Zhang Prof Xingquan (Hill) Zhu March 2010 PhD P/T Mr Abdulah Alqahtani Dr Helen Lu/Prof Jie Lu July 2009 PhD Ms Thi Thanh Sang Nguyen Dr Helen Lu/Prof Jie Lu July 2009 PhD Mrs Malak Al-Hassan Prof Jie Lu/Dr Helen Lu February 2008 PhD Mr Khaled Amailef Prof Jie Lu August 2007 PhD Ms Nur Atiqah Rochin Binti Demong Prof Jie Lu August 2009 PhD Mr Farzad Sanati Prof Jie Lu February 2007 PhD Mr Qusai Shambour Prof Jie Lu July 2008 PhD Mr Tasneem Memon Prof Jie Lu/Dr F Wu August 2009 PhD


18

Current research students (cont.)

Student Name Supervisors Admission date PhD / Masters

Mr Vahid Behbood Prof Jie Lu/A/Prof G Zhang July 2009 PhD Ms Jing Jiang Prof Jie Lu/A/Prof G Zhang July 2010 PhD Mr Guodong Long Prof Jie Lu/A/Prof G Zhang August 2010 PhD/Visitor Mr Julwan Purba Prof Jie Lu/A/Prof G Zhang February 2009 PhD Mr Wei Tao Prof Jie Lu/A/Prof G Zhang July 2009 PhD Mr Jie (Jack) Zhang Prof Jie Lu/A/Prof G Zhang July 2007 PhD Mr Ali Anaissi Prof Jie Lu/Dr M Goyal July 2009 Master's Mr Mohammad Bhuiyan Prof Jie Lu/Dr M Goyal July 2009 Master's Mr Dianshuang Wu A/Prof G Zhang/Prof Jie Lu July 2009 PhD/Visitor Ms Preetinder Kaur Dr Madhu Goyal March 2010 PhD Ms Ya Gao A/Prof Guangquan Zhang July 2006 PhD Mr Ning (Philip) Lu A/Prof Guangquan Zhang July 2008 PhD Mr Jun Ma A/Prof Guangquan Zhang July 2008 PhD Mr Jebrin Al-Sharawneh Prof M-A Williams January 2008 PhD Mr Benjamin Johnston Prof M-A Williams March 2006 PhD Ms Shan Chen Prof M-A Williams April 2007 PhD Mr Rony Novianto Prof M-A Williams March 2008 PhD Mr Sylvan Ruddock Prof M-A Williams March 2009 PhD Mr Amos Stark Prof M-A Williams March 2007 Dr Educ Ms Juanjuan (Julia) Wang Prof M-A Williams March 2010 PhD P/T Ms Wei Wang Prof M-A Williams March 2010 PhD Mr Xun Wang Prof M-A Williams March 2008 PhD Mr Ahmad Al-Oqaily Dr Paul Kennedy June 2006 PhD Mr Hamid Ghous Dr Paul Kennedy July 2009 PhD Mr Hooman Homayoonfard Dr Paul Kennedy January 2007 PhD Mr John Milton Dr Paul Kennedy July 2005 PhD Mr Lee Sofianto Dr Paul Kennedy March 2006 PhD Mr Siamak Tafavogh Dr Paul Kennedy July 2010 PhD Mr Franco Ubaudi Dr Paul Kennedy January 2003 PhD P/T Mr Thomas Given-Wilson Dr Barry Jay Feb 06 / Mar 08 PhD Mr Jose A Vegara-Medina Dr Barry Jay July 2009 PhD Mr Kongluan Lin Prof John Debenham July 2010 Master's Mr Haydn Mearns Prof John Debenham January 2009 PhD Mr Khandaker S Islam Prof John Debenham July 2005 PhD Mr Lei Zhang Prof John Debenham July 2005 PhD Mr Yanjia Li Prof Mingsheng Ying July 2009 PhD/Visitor Mr Guoxin Su Prof Mingsheng Ying July 2009 PhD Mr Nengkun Yu Prof Mingsheng Ying July 2009 PhD/Visitor Mr Cheng Guo Dr Runyao Duan August 2010 PhD Mr Weiming Liu A/Prof Sanjiang Li July 2009 PhD

Graduated students The following research students graduated in 2010-2011:

Student Name Degree Year Principal Supervisor Mr Muhammad Anshar MSc Autumn 2010 Prof Mary-Anne Williams Mr John Edward Milton PhD Autumn 2010 Dr Paul Kennedy Mr Yuming Ou PhD Autumn 2010 Prof Chengqi Zhang Mr Artem Parakhine PhD Autumn 2010 Prof John Debenham (Prof John Leaney) Ms Ya Gao PhD Spring 2010 Assoc Prof Guangquan Zhang Mr Benjamin Johnston PhD Spring 2010

Autumn 2011 Degree Conferred. Prof Mary-Anne Williams Graduation Ceremony

Mr Ante Prodan PhD Spring 2010 Prof John Debenham Mr Khandaker S Islam PhD Autumn 2011 Prof John Debenham Mr Bo Liu PhD Autumn 2011 Prof Longbing Tao Mr Chao Luo PhD Autumn 2011 Prof Chengqi Zhang


19

Other research achievements Yuan Feng and Xingquan (Hill) Zhu each

won an ARC Future Fellowship. Each fellowship started in 2010 and have a completion year of 2014.

Two QCIS core members won awards under the Vice-Chancellor's Awards for Research Excellence:

— Prof Jie Lu won the UTS Medal for Teaching and Research Integration

— Assoc Prof Sanjiang Li won the award for Early Career Research Excellence

QCIS had four finalists for the UTS Vice Chancellor's Awards for Excellence in Research, including the two winners Prof Jie Lu and Assoc Prof Sanjiang Li (see above). The other two finalists were: — Research Medal: Chancellor's Medal for

Exceptional Research: Dr Runyao Duan, Dr Yuan Feng and Professor Mingsheng Ying (team entry)

— Research Award: Research Excellence through Partnership: Professor Longbing Cao

Dr Ya Gao (DeSI Lab) won the Chancellor's PhD Award for 2010 (the highest ranked dissertation from the top six on the UTS commendation list).

Dr Benjamin Johnston won the 2010 Best General Artificial Intelligence Idea Prize at the 2010 Artificial Intelligence Conference in Switzerland. The prize is awarded to the paper presenting the most ceative, innovative, interesting and scientifically plausible ideaaout achieving artificial general intelligence.

Mr Xun Wang won an IBM PhD Fellowship for $US20,000 in 2010

Mr Rony Novianto (Magic Lab) won an IBM Fellowship for 2011, and an Endeavour Fellowship to study at Lund University in Sweden for six months in 2011.

Ms Saleha Raza of IBA, Karachi, student of 2010 Magic Lab visitor Dr Sajjad Haider, won an Endeavour Fellowship for $AU23,500 to visit the Lab for 4-6 months in 2011.

DSKD Lab hosted the 10th IEEE Internat-ional Conference on Data Mining (ICDM'10) in Building 5 at UTS from 14-17 Dec 2010.

A one-day workshop and research forum, with Prof Jerome H Friedman from Stanford Uni-versity, was hosted by QCIS on 23 Nov 2010.

Prof Mary-Anne Williams has been invited onto the International Advisory Board for the Rolf Schock Prize in Logic and Philosophy with the Royal Swedish Academy of Sciences.

The KIL Lab released an update of their programming language, bondi 2.0.

QCIS won two industry grants in 2011 and two in 2010. The Centre also won six UTS grants in 2010. See pages 15-16 for details.

In 2010-2011, QCIS published 27 ERA ranked 'A*' journal papers, 47 ERA ranked 'A' journal papers and 46 ERA ranked 'A' conference proceedings. The Centre also published four edited books, nine book chapters, two journal special issues, and 22 ERA ranked 'B' papers. See pages 9-14 (A*, A) and pages 29-30 (all other publications).

QCIS core members held ten key roles in international professional organisations (see Appendix C for details).

QCIS core members have undertaken key Editorial Service roles for 37 international journals (see Appendix C for details).

QCIS core members have chaired 15 high-profile, international conferences (see Appendix C for details).

QCIS core members have delivered four keynote speeches at international conferences in 2010 (see Appendix C for details).

QCIS hosted 21 seminars in 2010 — see page 22 for details.


20

Visitors to QCIS in 2010 Prof Yuxi Fu, Shanghai Jiao Tong

University, P.R. China Mr Lirong Xia, Duke University, Durham,

USA Prof Peter Gärdenfors, Lund University, Dr Pierre-Louis Curien, Director of

Research, National Centre for Scientific Research, France

A/Prof Daniele Gorla, University of Rome, Italy

L-R: Barry Jay, A/Prof Daniele Gorla and

Thomas Given-Wilson Assoc Prof Shih-Chung (Jessy) Kang,

National Taiwan University, Taiwan Assoc Prof Sajjad Haider, Inst of Business

Administration (IBA), Karachi,Pakistan Dr Junhu Wang, Griffith University,

Brisbane, Australia Dr Qin Xin, SSRI, Simula Research

Laboratory, Fornebu, Norway Prof Max Bramer, Professor of Information

Technology, University of Portsmouth, UK Prof Tharam S Dillon, Curtin University,

Perth, Australia

L-R: Chengqi Zhang, Prof Tharam Dillon, Prof

Max Bramer, John Debenham Prof Gerhard Lakemeyer, Aachen

University, Aachen,Germany Assoc Prof Frank Kargl, University of

Twente, Enschede,The Netherlands Mr Florian Schaub, Ulm University, Ulm,

Germany Prof Carroll Morgan, University of New

South Wales, Sydney, Australia A/Prof Douglas W Oard, University of

Maryland, USA A/Prof Marcus Hutter, RSISE ANU,

Canberra, Australia

Prof David Suter, University of Adelaide

and ARC College of Experts, Australia

Prof Xiaoping Cheng, University of Science and Technology, Hefei, China

L-R: Gamini Dissanayke, Richard Raban,

Prof Xiaoping Chen, Mary-Anne Williams Dr Lin Chen, Centre for Quantum

Technologies (CQT), National University of Singapore

Dr Chih Wen Su, Institute of Information Science, Taipei, Taiwan

Guodong Long, Huawei Technologies Co. Ltd China

Mr Ignacio Javier Perez Galvez, 1/5-30/6/2010. Universidad de Granada, Spain

Dr Ruili Wang, Massey University, New Zealand

A/Prof Wei Ding, Univeristy of Massachusetts, Boston, USA

L-R: Xingquan (Hill) Zhu with A/Prof Wei Ding

Prof Ming Tang, Chinese Academy of

Sciences, Beijing, China

A/Prof Ruijun Zhang, Wuhan University of Science & Technology, China

Prof John Mylopoulos, University of Toronto, Canada, and University of Trento, Italy

Prof John Mylopoulos


21

5. Events in 2010 Research Workshops On 15 January, 2010 the 5th DeSI workshop was held to showcase the Lab's latest research developments. Professor Etienne Kerre, visiting from Gent University in Belgium, attended and presented his seminar on Fuzzy Logic and Systems. The workshop was well-attended by approximately 25 staff and students, and was very well received.

DeSI Workshop attendees: Prof Kerre is standing on

the left of the picture QCIS hosted a second Research Workshop on 23 November, 2011 with special guest Prof Jerome H Friedman of Stanford University providing feedback to speakers. Workshop speakers were: • Sajjad Haider • Paul Beinat • Ling Chen • Xun Wang • Tianyi Zhou • Bo Liu • Yanshan Xiao • Benjamin Johnston Prof Friedman said he was 'amazed' with the scope and depth of the workshop, which was another resounding success for QCIS. ICDM 2010 The IEEE International Conference on Data Mining (ICDM) is a premier world research conference. 2010 was the tenth anniversary of the conference, and QCIS was proud to host this significant event at UTS from 14-17 December, 2010.

ICDM'10 Community meeting

The 10th anniversary of ICDM provided a forum for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences. ICDM'10 was a phenomenal success, especially given the international global economic crisis and the AUD value. ICDM 2010 attracted a record number of delegates (over 500), and a record number of paper submissions (798). The keynote speakers were:

• Professor Christos Faloutsos, Carnegie Mellon University

• Professor Geoff McLachlan, University of Queensland

• Professor Xindong Wu, University of Vermont

Some of the attendees at the ICDM'10 Banquet Dinner

Colloquium on Data Sciences, Knowledge Discovery and Business Intelligence (held in conjunction with ICDM) The DSKDBI is held in conjunction with ICDM and is a forum for key vendors, experienced industry players and senior academics in the areas of data quality, data analysis, data engineering and data mining to share core business problems, latest solutions and technologies, and experiences and lessons. It is organised by the QCIS DSKD Lab. The 2010 Colloquium covered the following components over three days: • Business solutions provided by world-

class vendors, • Knowledge advancement in research

presented by world-class researchers, and

• Enterprise applications introduced by world-class practitioners.

http://datamining.it.uts.edu.au/colloquium/dskdbi10/�


22

Events — DSKDBI (cont.) Speakers at the Colloquium were: • Chair Professor Philip S Yu, University of

Illinois at Chicago, USA

• Mr Ben Slater, Snr Manager, Accenture Information Management Services, Australia

• Mr Evan Stubbs, Solutions Manager, SAS, Australia

• Professor Geoff McLachlan, University of Queensland

• Prof Longbing Cao, University of Technology, Sydney, Australia

• Mr Paul Segal, Teradata, Australia

• Prof Vipin Kumar, University of Minnesota, USA

• Dr Wei Fan, IBM TJ Watson Research, USA

• Dr Warwick Graco, Australian Taxation Office, Australia

• Prof Wei Wang, University of North Carolina at Chapel Hill, USA

QCIS Seminars in 2010

A list of seminars presented in 2010 follows. Fourteen were presented by eminent international research visitors to the Centre;five were presented by high-profile Australian research visitors to the Centre; and, one was presented by an internal QCIS Professor.

Preference representation and aggregation in multi-agent scenarios, presented by Mr Lirong Xia, Duke University, USA invited by Prof Mingsheng Ying, 14 Oct 2010

Spatial Data Mining and its Application to Planetary and Environmental Science Study, presented by A/Prof Wei Ding, University of Massachusetts, USA, invited by A/Prof Xingquan Zhu, 5 Oct 2010

The duality of computation under focus, presented by Dr Pierre-Louis Curien, Natio-nal Centre for Scientific Research, France, invited by A/Prof Barry Jay, 29 Sep 2010

Towards a Theory of Expressiveness for Process Calculi, presented by A/Prof Daniele Gorla, University of Rome, Italy, invited by A/Prof Barry Jay, 29 Sep 2010

Awareness and Adaptivity Requirements, presented by Prof John Mylopoulos, University of Toronto, Canada, and University of Trento, Italy, invited by Prof Mary-Anne Williams, 28 Sept 2010

J-PMCRI: A Methodology for Inducing Pre-Pruned Modular Classification Rules, presented by Prof Max Bramer, University of Portsmouth, UK, invited by Prof John Debenham, 16 Sep 2010

Web of Things as a Framework for Building Cyber-Physical Systems, Prof Tharam S Dillon, Curtin University, Australia, invited by Prof Chengqi Zhang, 15 Sep 2010

Experience of Using Microsoft Robotics Studio (MSRDS) for Education and Robot Development, presented by Dr Shih-Chung (Jessy) Kang, National Taiwan University, Taiwan, invited by Prof Mary-Anne Williams, 11 Aug 2010

On Finding Effective Courses of Actions in Dynamic Uncertain Situations, presented by Assoc Prof Sajjad Haider, Inst of Business Admin-istration (IBA), Pakistan, invited by Prof Mary-Anne Williams, 29 Jul 2010

Stream Data Mining: Active Labelling, Cleansing, and Vague Learning, presented by A/Prof Xingquan (Hill) Zhu, QCIS, University of Technology, Sydney, Australia,16 Jun 2010

Answering tree pattern queries using views: current status and open problems, present-ed by Dr Junhu Wang, Griffith University, Australia, invited by Prof Jie Lu, 3 Jun 2010

Data Mining in Wireless Sensor Networks, presented by Dr Qin Xin (SSRI, Simula Research Laboratory, Norway, invited by Prof. Chengqi Zhang, 23 Apr 2010

Progressing Databases, presented by Prof Gerhard Lakemeyer, Aachen University, Germany, invited by Prof Mary-Anne Williams, 21 Apr 2010

Security and Privacy in Future Transportation Systems, presented by Assoc Prof Frank Kargl, University of Twente, The Netherlands, invited by Prof Mary-Anne Williams, 16 Apr 2010

Territorial Privacy in Intelligent Environments, presented by Florian Schaub, Ulm University, Germany, Invited by Prof Mary-Anne Williams, 16 Apr 2010

Non-interference security: specification, refinement and implementation, presented by Prof Carroll Morgan, University of New South Wales, Australia, invited by Prof Mingsheng Ying, 26 Mar 2010

Evaluating E-Discovery Search: The TREC Legal Track, A/Prof Douglas W Oard, University of Maryland, USA, invited by Prof Mary-Anne Williams, 11 Mar 2010

Generic Reinforcement Learning Agents, presented by A/Prof Marcus Hutter, RSISE ANU, Canberra, invited by Prof Mary-Anne Williams , 11 Mar 2010

Reflections on ARC Grant Assessment and Grant Writing, presented by Prof David Suter, University of Adelaide and ARC College of Experts, invited by Prof Chengqi Zhang, 10 Mar 2010

Progress of the Ke Jia Project, presented by Prof Xiaoping Cheng, University of Science and Technology, China, invited by Prof Mary-Anne Williams, 26 Feb 2010

Semantics as Meeting of Minds, presented by Prof Peter Gärdenfors, Lund University, Sweden, invited by Prof Mary-Anne Williams27 Jan 2010.


23

6. QCIS Key International University / Faculty Collaboration

QCIS currently collaborates with the following international universities/faculties: University of Science and Technology,

China (Prof M-A Williams)

Lund University, Sweden (Prof M-A Williams)

Stanford University, USA (Prof M-A Williams)

Oxford University, UK (Prof M-A Williams)

Centre National de la Recherche Scientifique, France (Prof M-A Williams)

UK Network on Semantics of Quantum Computation, including Oxford, Edinburgh, Warwick, Glasgow, UK (Prof M Ying)

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

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

Artificial Intelligence Research Institute (IIIA), Barcelona, Spain (contact: Prof Carles Sierra). (Prof J Debenham)

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

Queens University, Kingston, Ontario, Canada (contact: Prof David Skillicorn) (Dr P 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 L Cao)

Fudan University, China (Prof L Cao)

Chinese Academy of Sciences, China (Prof L Cao)

Dept Computer Science & Technology, Tsinghua University, China (Prof M Ying)

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

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

Centre for Quantum Technologies (CQT), National University of Singapore (contact: Prof Andreas Winter) (Dr R Duan)

Computing Laboratory, The University of Oxford, UK (contact: Professor Samson Abramsky) (Prof M Ying)

Institute for Quantum Computing (IQC),

University of Waterloo, Canada (contact: Dr Bei Zeng) (Dr R Duan)

Perimeter Institute for Theoretical Physics (PI), Waterloo, Canada (contact: Dr Zhengfeng Ji) (Dr R Duan)

IBM Research, NY, USA (contact: Prof John Smolin) (Dr R Duan)

The German Research Centre for Spatial Cognition (SFB/TR 8), Bremen University & Freiburg University, Germany (contacts: Prof Christian Freksa and Prof Bernhard Nebel) (A/Prof S Li)

School of Computing, Leeds University, UK (contact: Prof Anthony G Cohn) (A/Prof S Li)

University of Gent, Belgium (contact: Prof Kerre) (A/Prof G. Zhang)

Fern University Hagen, Germany (contact: Prof W. Halang ) (Prof J Lu)

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

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

Complutense University, Spain (contact: Prof J. Montero) (Prof J Lu)

University of Jaén, Spain (contact: Prof L. Martinez lopez) (Prof J Lu)

University of Granada, Spain (contact: Prof. F. Herrera) (Prof J Lu)

Ain Shams University, Egypt (contact: Prof a. Salem) (Prof J Lu)

İstanbul Technical University, Turkey (contact: Prof C. Kahraman) (Prof J Lu)

Iwate University, Japan, (contact Prof. H. Fujita) (Prof J Lu)

University of Florida, USA, (contact: Prof Panos Pardalos) (Prof J Lu)

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


24

7. 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.


25

Appendices

Appendix A: Detailed list of ARC Grants for 2010 1. DP0773592: Prof M Williams; Prof P

Gärdenfors Title: Planning, Communication, and Collaboration in Cognitive Systems: A Constructive Approach 2007: $89,000 2008: $83,000 2009: $86,000 2010: $89,000 Primary RFCD: 3803 COGNITIVE SCIENCE Administering Organisation: University of Technology, Sydney Project Summary: Change is a constant and unavoidable characteristic of the current and foreseeable business environ-ment. Currently systems cope poorly with change and as a result they are not sufficiently dependable and adaptable to support business agility and innovation. The aim of this project is to advance the state-of-the art and to lay a new foundation for dependable and adaptable cognitive systems that can plan, communicate and collaborate in complex and dynamic environments.

2. DP0880739: A/Prof J Lu; Dr G Zhang; Prof D Ruan Title: A Comprehensive Platform for Dynamic Decision Support in Warning Systems through Better Management of Uncertain Information 2008: $69,000 2009: $63,000 2010:$59,000 Primary RFCD: 2801 INFORMATION SYSTEMS Administering Organisation: University of Technology, Sydney Project Summary: Public and individual warning systems are installed widely in Australia for emergency situations such as fire, terrorist attack, tsunami, and financial risk. The developed platform with its uncertain information management and dynamic decision support software will directly assist Australian government agencies, industries, and professional officers responsible for public warning systems by improving the reliability of generated warnings, effective design of any new warning system, and accurate decision making in responding threats. It will also greatly contribute to the processing of uncertain information in other organizational information systems, and enhance training exercise facilities in complex emergency environments.

3. DP0879789: Prof SJ Simoff; Prof JK

Debenham; Prof C Sierra; Prof IF Wilkinson Title: "It's all about me" – Anthropomorphised

Trading in Believable Electronic Markets 2008: $ 123,210 2009: $ 118,000 2010: $ 112,000 Primary RFCD: 2802 ARTIFICIAL INTELLIGENCE & SIGNAL & IMAGE PROCESSING Administering Organisation: University of Technology, Sydney Project Summary: There is a need for trustful business environments that will open up the e-markets to a greater population of traders. This project looks at the development of believable e-markets that address this need. Proposed 3D electronic institution technology is expected to facilitate the establishment of robust business structures as the believability of the business activities and interactions in such e-markets will ensure the principles of trust and reputation in the electronic markets of tomorrow.

4. DP0881876: Prof S Elliot; Prof M Williams

Title: Developing and Managing Sustainable Technology-Enabled Innovation Capabilities: An Information Systems Approach 2008: $95,000 2009: $90,000 2010: $85,000 Primary RFCD: 2801 INFORMATION SYSTEMS Administering Organisation: The University of Sydney Project Summary: Australian industry's search for competitive advantage in global markets is creating increasing pressure to innovate. The only pathway to business success is perpetual innovation but this is fraught with challenges, pitfalls and risk. This project assists industry innovation by advancing our understanding of two key areas: technology-enabled innovation and the adoption and impact of disruptive frontier technologies. It will develop, test, analyse and evaluate a new framework for technology-enabled business innovation in the area of Treasury Risk Management.


26

Appendix A (cont.) 5. DP0988016: Dr L Cao; Prof C Zhang

Title: Discovering Activity Patterns Driven by High Impacts in Heterogeneous and Imbalanced Data 2009: $113,000 2010: $110,000 2011: $105,000 Primary RFCD: 2802 ARTIFICIAL INTELLIGENCE & SIGNAL & IMAGE PROCESSING Administering Organisation: University of Technology, Sydney Project Summary: The identification of high impact activities is important for detecting and preventing their occurrences and reducing resulting risks and losses to our society. This project will deliver cutting-edge techniques for effectively extracting activity patterns driven by high business impacts. It can safeguard Australia and build and transform Australian industries by delivering frontier techniques and smart prevention and intervention capabilities to enhance key industries such as finance compliance, national security and crime reduction. The resulting activity mining system, researchers trained and high quality publications will further enhance Australia's global leading role in tackling critical data mining challenges and applications.

6. DP0985456: Dr S Zhang

Title: Multiple Data Source Discovery: Group Interaction Approach Project Title 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. Mining 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.

7. DP1096218: A/Prof L Cao; Prof PS Yu

Title: Approved Pattern Discovery of Discriminating Behaviour Associated with Hidden Communities 2010: $50,000 2011: $50,000 2012: $50,000 Primary RFCD: 2801 INFORMATION SYSTEMS Administering Organisation: University of Technology, Sydney Project Summary: A sound understanding of discriminating behaviour in hidden communities, e.g. market manipulation, is essential for effective intervention and prevention. This project will deliver novel and workable algorithms and tools for modelling and pattern discovery of such behaviour. This will safeguard Australia by tackling crucial business and social issues like abnormal trading, online crime and terrorism, thereby enhancing public confidence, compliance and security in both the economy and society, by preventing and reducing economic and social impact. It will create skills and outcomes to further Australia's leadership in managing emerging data mining challenges and applications, and will deepen collaboration with eminent researchers worldwide.

8. DP1093762: Prof C Zhang; A/Prof X Zhu;

A/Prof J Pei Title: Mining Multiple Information Sources through Collaborative and Comparative Analysis 2010: $115,000 2011: $110,000 2012: $110,000 Primary RFCD: 2801 INFORMATION SYSTEMS Administering Organisation: University of Technology, Sydney Project Summary: Mining multiple inform-ation sources can significantly enhance our capacity for smart information use. This is because patterns behind scams, fraud, and terrorism activities are difficult to detect, unless pieces of isolated information are properly linked together for mining. This project will deliver cutting-edge data mining techniques, actionable tools, and case study materials, all of which will lead to a number of high quality publications to enhance Australia's international foremost standing in the data mining community. The project will involve highly trained and skilled researchers and practitioners to advance the workforce development in the Australian information technology industry and ensure the healthy growth of the economy.


27

Appendix A (cont.)

9. DP110103733: Prod 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.

10. DP110103473: Prof Mingsheng Ying, 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 behaviours of distributed quantum computing and communicating systems. The developed methods will provide effective techniques for verifying security of quantum cryptographic protocols.

11. LP0883580: Prof JK Debenham; Prof SJ

Simoff; Adj/Prof JR Leaney; Mr NB Sheridan-Smith; Mr MA Hunter; Mr V Pizzica; Dr DG Verchere Title: Smart communications network management: Delivering bundled interdependent services across internetworked heterogeneous domains. 2008: $55,000 2009: $100,000 2010: $85,000 2011: $40,000 Primary RFCD: 2802 ARTIFICIAL INTELLIGENCE AND SIGNAL AND IMAGE PROCESSING APA(I) Award(s): 3 Collaborating/Partner Organisation(s): Alcatel-Lucent (Australasia) Pty Ltd Administering Organisation: University of Technology, Sydney

Project Summary: Sophisticated commun-ications network management (data, voice, video) is crucial to the global economy. The field is worth several billion dollars per annum. This project will generate expertise that addresses and solves an important problem in communications management, will enable Australia to use communicat-ions networks more effectively, and will advance communications technology.

12. LP0989721: Dr L Cao; Prof C Zhang; Dr W Wang Title: Pattern Analysis and Risk Control of E-Commerce Transactions to Secure Online Payments 2009: $115,000 2010: $110,000 2011: $105,000 Primary RFCD: 2801 INFORMATION SYSTEMS APA(I) Award(s): 1 Collaborating/Partner Organisation(s): A2 Consulting Pty Ltd Administering Organisation: University of Technology, Sydney Project Summary: The instant filtering of risky online payments is critical for merchants and online payment service providers to control fraud and thus reduce immense losses every year. This project will deliver new and workable techniques for on-the-fly discovering e-payment fraudsters in e-commerce. It can safeguard Australian online businesses and build and transform Australian merchants and online payment associations by delivering frontier techniques and smart e-payment fraud prevention and risk control to boost Australian online busin-esses and competitive capabilities globally. The resulting systems, researchers trained and publications will further enhance Aust-ralia's global leading role in tackling critical data mining challenges and applications.

13. LP100200774: Prof Longbing Cao, A/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


28

Appendix A (cont.) immense losses and inconsistent policies for Government and industries, such as preventing Centrelink customer debt. This project will deliver novel analytical techniques and smart information 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 Indigenous Affairs (FaHCSIA), banking and insurance. The resulting systems, the researchers trained and resulting publications will significantly enhance Australia's leading role in tackling change-driven non-compliance.

14. FT0990811: Dr S 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 knowledge 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 applications 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

15. 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 step-wise develop, quantum programs by rigorous predicate transformer semantics, and generate breakthrough theory and frontier techniques for quantum software engineering.

16. FT100100971: A/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.


29

Appendix B: List of Other Publications This list contains all publications for 2010-2011: mongraph, edited books, book chapters, journal special issues, and journal and conference papers — not listed earlier as A*/A papers at pages 9-14. Monograph 1. Longbing Cao, Philip Yu, Chengqi Zhang

& Yanchang Zhao (eds.) 2010. Domain driven data mining. New York. Springer.

Edited Books 1. Yaxin Bi, Mary-Anne Williams (eds)

Knowledge Science, Engineering and Management, 4th International Conference, KSEM 2010, Belfast, Northern Ireland, UK, September 1-3, 2010. Proceedings Springer 2010.

2. Weisi Lin, Dacheng Tao, Janusz Kacprzyk, Zhu Li, Ebroul Izquierdo & HaohongWang (eds.) 2011. Multimedia analysis, processing and communications. New York. Springer.

3. Dan Schonfeld, Caifeng Shan, Dacheng Tao & Liang Wang (eds.) 2010. Video search and mining. New York. Springer.

Book Chapters 1. Madhu Goyal, Saroj Kaushik & Preetinder

Kaur. 2011. Automated Fuzzy Bidding Strategy Using Agent’s Attitude and Market Competition. Studies in Computat-ional Intelligence: Advances in Practical Multi-agent Systems. Springer Verlag.

2. Bin Li, Xingquan Zhu & Qiang Yang. 2011. Transfer Learning for Collaborative Filtering and Link Prediction. Machine Learning and Applications 2011. Tsinghua University Press.

3. Dacheng Tao Wei Bian. 2011. Subspace Learning for Face Recognition. In: S. Z. Li & A. K. Jain (eds.) Handbook of Face Recog-nition (2nd Edition). Springer-Verlag.

4. Wen Lu Xinbo Gao, Dacheng Tao, Xuelong Li. 2011. Image Quality Assessment: A Multiscale Geometric Analysis-Based Framework and Examples. In: T. Heskes & J. Kok (eds.) Handbook of Natural Computing. Springer-Verlag,ISBN: 978-3-540-92911-6.

5. Cheng Deng, Dacheng Tao, Xinbo Gao & Xuelong Li. 2010. Robust Image Watermarking Based on Feature Regions. Multimedia Analysis. In: W. Lin, D. Tao, J. Kacprzyk, Z. Li, E. Izquierdo & H. Wang (eds.) Processing and Communications. Springer-Verlag,ISBN: 978-3-642-19550-1.

6. Jun Ma & Madhu Goyal. 2010. Designing

a Successful Bidding Strategy using Fuzzy Sets and Agent Attitudes. Web Based Support Systems. Springer Verlag.

7. Bin Wang, Xinbo Gao, Dacheng Tao & Xuelong Li. 2010. A Unified Tensor Level Set Method for Image Segmentation. In: W. Lin, D. Tao, J. Kacprzyk, Z. Li, E. Izquierdo & H. Wang (eds.) Multimedia Analysis, Processing and Communications. Springer-Verlag,ISBN: 978-3-642-19550-1.

8. Bing Xiao, Dacheng Tao, Xinbo Gao & Xuelong Li. 2010. Recognition of Sketches in Photos. Multimedia Analysis. In: W. Lin, D. Tao, J. Kacprzyk, Z. Li, E. Izquierdo & H. Wang (eds.) Processing and Communications. Springer-Verlag,ISBN: 978-3-642-19550-1.

9. Guoli Zhang, Guangquan Zhang, Ya Gao & Jie Lu. 2010. Evolutionary Computational Methods For Fuzzy Decision Making On Load Dispatch Day-ahead Markets. In: D. Ruan (ed.) Atlantis computational intelligence systems. Paris: Atlantis Press: World Scientific.

Journal Special Issues 1. Jie Lu & Guangquan Zhang. 2010. Guest

editorial: a special issue on optimization techniques for business intelligence systems. Journal of Global Optimization.Accepted.

2. Jie Lu & Guangquan Zhang. 2010. A Special Issue On Decision Intelligence With Soft Computing. Soft Computing - A Fusion of Foundations, Methodologies and Applications, vol.14, no.12, pp.1253-1254.

ERA ranked 'B' Journal Papers 1. ZhenHai Guo, Jie Wu, Haiyan Lu and

Jianzhou Wang. 2011. A Case Study on a Hybrid Wind Speed Forecasting Method Using BP Neural Network. Knowledge-Based Systems. Accepted on 28 April 2011.

2. Jianzhou Wang, Dezhong Chi, Jie Wu & Haiyan Lu. 2011. Chaotic Time Series Method Combined with particle swarm optimization and trend adjustment for electricity demand forecasting. Expert Systems with Applications, vol.38, no.7, pp.8419-8429.

3. Jie Lu, Jun Ma, Guangquan Zhang, Yijun Zhu, Xianyi Zeng & Ludovic Koehl. 2010. Theme-based Comprehensive Evaluation in New Product Development using Fuzzy Hierarchical Criteria Group Decision-Making Method. IEEE Transactions on Industrial Electronics, vol.58, no.6. Accepted.


30

ERA ranked 'B' Journal Papers (cont.) 4. Jie Lu, Da Ruan & Guangquan Zhang.

2010. A special issue on Intelligent Decision Support and Warning Systems. Knowledge-Based Systems, vol.23, no.1, pp.1-2.

5. Jie Lu, Chao Wang, Guangquan Zhang & Jun Ma. 2010. Collaborative management of web ontology data with flexible access control. Expert Systems With Applications, vol.37, no.5, pp.3737-3746.

6. Jun Ma, Jie Lu & Guangquan Zhang. 2010. Decider: A fuzzy multi-criteria group decision support system. Knowledge-Based Systems, vol.23, no.1, pp.23-31.

7. Jun Ma, Guangquan Zhang & Jie Lu. 2010. A state-based knowledge representation approach for information logical inconsistency detection in warning systems. Knowledge-Based Systems, vol.23, no.2, pp.125-131.

8. Guangquan Zhang, Jie Lu, Javier Montero & Yi Zeng. 2010. Model, solution concept, and Kth-best algorithm for linear trilevel programming. Information Sciences, vol.180, no.4, pp.481-492.

9. Guangquan Zhang, Guoli Zhang, Ya Gao & Jie Lu. 2010. Competitive Strategic Bidding Optimization in Electricity Markets using Bi-level Programming and Swarm Technique. IEEE Transactions on Industrial Electronics vol.58, no.6. Accepted.

ERA ranked 'B' Conference Papers 10. Preetinder Kaur, Madhu Goyal & Jie Lu.

2011. Data Mining Driven Agents for Predicting Online Auction’s End Price. IEEE Symposium on Computational Intelligence. April 2011, France.

11. John Debenham & Carles Sierra. 2010. An Agent Model of Business Relationships. International Conference on Database and Expert Systems Applications. 30 August - 3 September 2010, Bilbao, Spain. pp.126-140.

12. John Debenham & Simeon Simoff. 2010. An Agent for Ecological Deliberation. International Conference E-Commerce and Web Technologies. 1-3 September 2010, Bilbao, Spain. pp.146-157.

13. John Debenham & Simeon Simoff. 2010. The Honourable Negotiator: When the Relationship Is What Matters. Advances in Artificial Intelligence(AI-2010). 7-10 December 2010, Adelaide, Australia. pp.344-353.

14. Runyao Duan, Markus Grassl, Zhengfeng Ji & Bei Zeng. 2010. Multi-Error-Correcting Amplitude Damping Codes. IEEE International Symposium on

Information Theory. 13-18 June, 2010.

pp.2672-2676. 15. Kongluan Lin, John Debenham & Simeon

Simoff. 2010. Managing power conservation in wireless networks. The 6th International Conference on Advanced Data Mining and Applications - Volume Part II. Chongqing, China. Springer-Verlag, pp.314-325.

16. Julwan Purba, Jie Lu, Da Ruan & Guangquan Zhang. 2010. Probabilistic safety assessment in nuclear power plants by fuzzy numbers. International FLINS Conference on Foundations and Applications of Computational Intelligence (FLINS 2010). 2-4 August 2010, Chengdu (EMei), China.

17. Zhenxing Qin, Chengqi Zhang, Tao Wang & Shichao Zhang. 2010. Cost sensitive classification in data mining. The 6th International Conference on Advanced Data Mining and Applications: Part I. Chongqing, China. Springer-Verlag, pp.1-11.

18. Hanjing Su, Ling Chen, Yunming Ye, Zhaocai Sun & Qingyao Wu. 2010. A Refinement Approach To Handling Model Misfit In Semi-supervised Learning. The 6th International Conference on Advanced Data Mining and Applications - Volume Part II. Chongqing, China. Springer-Verlag, pp.75-86.

19. Behbood Vahid, Jie Lu & Guangquan Zhang. 2010. Adaptive inference-based learning and rule generation algorithms in Fuzzy Neural Network for failure prediction. International Conference on Intelligent Systems and Knowledge Engineering (ISKE). 15 -16 November 2010, Hangzhou, China. pp.33-38.

20. Dianshuang Wu, Jie Lu & Guangquan Zhang. 2010. A hybrid recommendation approach for hierarchical items. International Conference on Intelligent Systems and Knowledge Engineering (ISKE). 15-16 November 2010, Hangzhou, China. pp.492-497.

21. Guangquan Zhang, Dillon T. S., Kaiyuan Cai, Jun Ma & Jie Lu. 2010. Delta-equalities of Complex Fuzzy Relations. IEEE International Conference on Advanced Information Networking and Applications (AINA). 20-23 April 2010, Perth, Australia. pp.1218-1224.

22. Tiefeng Zhang, Hua Lin, Lisong Liang, Jie Lu & Guangquan Zhang. 2010. A knowledge-based efficiency assessment system for distribution network using data envelopment analysis. International Conference on Research Challenges in Information Science (RCIS). 19-21 May 2010, Nice, France. pp.331-336.


31

Appendix C: Professional Services for 2010 Key roles in International Professional Organisations

Organisation Position Yeas Name IEEE – SMC Technical Committee on Cognitive Computing

Chair 2010-2011 Dacheng Tao

Steering Committee for Australasian Data Mining Conference

Member 2008-ongoing Paul Kennedy

Knowledge and Innovation, Strategic Management Society

Chair 2010 Mary-Anne Williams

KR Incorporated Director on the Board

2010 Mary-Anne Williams

Stanford Centre for Computers & Law, Stanford University, USA

Fellow 2009-10 Mary-Anne Williams

International Advisory Board, Rolf Schock Prize in Logic & Philosophy, The Royal Swedish Academy of Sciences

Member 2009-10 Mary-Anne Williams

Representative Knowledge and Innovation, Strategic Management Society

Member, Edit-orial Board

2008-11 Mary-Anne Williams

Australia Computer Society Fellow 2009-ongoing Chengqi Zhang

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

Chair 2006-ongoing Chengqi Zhang

Australian Computer Society National Committee for Artificial Intelligence (AI)

Chair 2005-ongoing Chengqi Zhang

Editorial Services for International Journals

Journal Position Year Name Knowledge and Information Systems (KAIS): An International Journal

Member, Editorial Board 2006-ongong John Debenham

Australian Journal of Intelligent Information Processing Systems

Member, Editorial Board 2006-ongoing John Debenham

An International Journal of Intelligent Decision Technologies

Member, Editorial Board 2010-ongoing Jie Lu

International Journal of Knowledge-Based Systems (Elsevier)

Editor-in-Chief 2009-ongong Jie Lu

International Journal of Computational Intelligence Systems, Atlantis Press

Member, Academic Editorial Board

2007-ongoing Jie Lu

Book series: Intelligent Information Systems (World Scientific)

Co-Editor 2007-ongoing Jie Lu

International Journal of Computational Science

Member, Academic Editorial Board

2006-ongoing Jie Lu

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 Jie Lu

An Internatinal Journal of Intelligent Decision Technologies



32

Editorial Services for International Journals (cont.)

Journal Position Year Name IEEE Transactions on Circuits and Systems for Video Technology

Associate Editor 2010-2011 Dacheng Tao

IEEE Transactions on Knowledge and Data Engineering


Neurocomputing (Elsevier) Associate Editor 2010-2011 Dacheng Tao

Computational Statistics & Data Analysis (Elsevier)


Information Sciences (Elsevier) Associate Editor 2010-2011 Dacheng Tao

Pattern Analysis and Applications (Springer)


Neural Processing Letters (Springer)


EURASIP Signal Processing Journal (Elsevier)

Editorial Board Member 2010-2011 Dacheng Tao

Artificial Intelligence Journal Review Editor 2007-ongoing Mary-Anne Williams

American Association of Artificial Intelligence/MIT Press

Member, Editorial Board 2006-ongoing Mary-Anne Williams

International Journal of Software and Informatics

Member, Editorial Board 2009 – ongoing Mingsheng Ying

Artificial Intelligence (Elsevier) Associate Editor, Editorial Board

2008 – ongoing Mingsheng Ying

Science in China F: Information Science


Frontiers of Computer Science in China


Journal of Automation Member, Editorial Board 2004 – ongoing Mingsheng Ying

Journal of Computer Science and Technology


Fuzzy Sets & Systems (Elsevier) Member, Editorial Board 2000 – ongoing Mingsheng Ying

International Journal of Data Warehousing and Mining (IJDWM)

Associate Editor, Editorial Board

2004 – ongoing Chengqi Zhang

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

Associate Editor, Editorial Board

2003-ongoing Chengqi Zhang

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

Member of the Scientific and Editorial Committee

2007-ongoing Guangquan Zhang

International Journal of Computational Intelligence Systems (IJCIS)

Member of Editorial board 2007-ongoing Guangquan Zhang

Journal of Fuzzy Mathematics (USA)

Advisory Editor 1993-ongoing Guangquan Zhang

International Journal of Information Quality and Computing

Editor-in-Chief 2010-ongoing Shichao Zhang

IEEE Intelligent Informatics Bulletin Member, Editorial Board 2003-ongoing Shichao Zhang

International Journal of Social Network Analysis and Mining

Associate Editor 2010-ongoing Xingquan Zhu

International Journal of Information Sciences & Computer Engineering


IEEE Transactions on Knowledge and Data Engineering (IEEE-TKDE)



33

Chairs at International conferences in 2010

Conference Name Position QCIS Personnel The Sixth International Conference on Advanced Data Mining and Applications, Chongqing, China, 19-21 Nov 2010

Program Committee Chair

Prof Longbing Cao

The 10th IEEE International Conference on Data Mining, (ICDM 2010), Sydney, 14-17 Dec, 2010

Local Arrangements Chair

Prof Longbing Cao

The Fourth International Workshop on Mining Multiple Information Sources, Sydney, 13 Dec 2011

Program Committee Co-Chair

Dr Bin Li

The 11th IEEE International Conference on Data Mining, (ICDM 2011), Vancouver, Canada, 11-14 Dec 2011

Program Committee Vice Chair

Prof Dacheng Tao

The 6th IFIP International Conference onTheoretical Computer Science (TCS 2010), Brisbane, 20-23 Sept 2010

Conference Chair A/Prof Barry Jay

Intelligent Information Privacy Management Symposium, Stanford University, USA, 23-25 March, 2010

Symposium Co-Chair Prof Mary-Anne Williams

The Third International Symposium on Practical Cognitive Agents and Robots, Toronto, Canada, 10-11 May, 2010

Conference Co-Chairs

Prof Mary-Anne Williams & Dr Benjamin Johnston

The Fourth International Conference on Knowledge Science, Engineering and Management (KSEM 2010), Belfast, Ireland, 1-3 Sept, 2010


Prof Mary-Anne Williams

The 30th Strategic Management Conference, Rome, 12-15 Sept, 2010

Conference Co-Chair Prof Mary-Anne Williams

The Ninth IEEE International Conference on Machine Learning and Applications (ICMLA 2010), Washington DC, USA, 12-14 Dec 2010


Prof Xingquan Zhu

The 10th IEEE International Conference on Data Mining (ICDM 2010), Sydney, 14-17 Dec 2010

Conference Co-Chair Prof Chengqi Zhang

The 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2011), Florida, USA, 7-9 Nov 2011


Prof Xingquan Zhu

The 11th IEEE International Conference on Data Mining (ICDM 2011), Vancouver, Canada, 11-14 Dec 2011

Program Committee Chair

Prof Xingquan Zhu

The 20th ACM International Conference on Information Knowledge Management

Program Committee Vice-Chair

Prof Xingquan Zhu

The 19th ACM International Conference on Information & Knowledge Management, 26-30 Oct, 2010

Program Committee Vice-Chair

A/Prof Shichao Zhang

Keynote speeches delivered at international conferences

Conference Name Keynote Title Year QCIS Personnel 10th International Conference on Information (ICI), Gamasa, Egypt, 4-67 Dec 2010

Decision support and warning systems for business intelligence.

2010 Prof Jie Lu

8th Asian Symposium on Programming Languages and Systems, APLAS 2010, Shanghai, China

Foundations of quantum programming

2010 Prof Mingsheng Ying

International Conference on Advanced Data Mining and Applications 2010

Cost Sensitive Classification in Data Mining

2010 Prof Chengqi Zhang

International Conference on Mobile Learning, E-society & E-Management

Stream Data Mining 2011 Prof Xingquan Zhu

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

qcis 2010 ann rep

Documents