the first five years 2008 – 2013
TRANSCRIPT
The First Five Years
2008 – 2013
The Centre for
QUANTUM COMPUTATION
& INTELLIGENT SYSTEMS
UTS Priority Investment Research Centre
The Centre for
QUANTUM COMPUTATION
& INTELLIGENT SYSTEMS
UTS Priority Investment Research Centre
The First Five Years
2008 – 2013
All photos in this Five-Year Report are © QCIS. Photo of QCIS Advisory Board by Encapture Photography Sydney
Photo of Future Fellows by Mohsen Naderpour, QCIS
© The Centre for Quantum Computation & Intelligent Systems, April 2013 Printed in April 2013 by UTS Printing Services, Sydney, Australia.
Table of Contents
Foreword by Professor Attila Brungs (DVCR) v
1. Overview of the Centre for QCIS
The Centre for Quantum Computation & Intelligent Systems 1 QCIS Mission, Vision, Objectives and Aims 2 QCIS Senior Management 2
• Director: Professor Chengqi Zhang 2 • Co-Director: Emeritus Professor John Debenham 3 • Research Director: Distinguished Professor Mingsheng Ying 3
QCIS Core Members 4 QCIS Associate Members 4 QCIS Adjunct Professors 4 QCIS International Advisory Board 4 Five Year Goals: 2009-2014 5
2. Representative Research Achievements 6 3. High-quality Research Publications
A. QCIS Representative Publications 8 B. QCIS papers from 2009 to 2013 in ERA-rated A* / A publications. 9
• ERA-ranked A* Journal Papers 9 • ERA-ranked A Journal Papers 13 • ERA-ranked A Conference Papers 17 • QCIS Publications at a Glance 24
4. ARC Grants
ARC Discovery Grants 26 ARC Linkage Grants 27 ARC Future Fellows 28
5. Research Students
QCIS Current Research Students 29 AAI Current Research Students 30 Graduated Research Students 31
6. Awards External 32
• Staff Awards 32 • IBM PhD Fellowship Awards 32 • Other Student Awards 32
Internal 32 • UTS Vice-Chancellor's Research Awards in Excellence 32 • Chancellor's Post-Doctoral Fellowships 32 • Chancellor's PhD Award 32 • Other Achievements 32
7. Professional Services Key roles in Professional Organisations 33 Editorial Services for International Journals 33 Chairs for International Conferences 34
iii
QCIS – The First Five Years: 2008 – 2013
iv
QCIS – The First Five Years: 2008 – 2013
Foreword
Prof Attila Brungs, Deputy Vice-Chancellor (Research) The 12th of April, 2013 marks a special occasion for The Centre for Quantum Computation & Intelligent Systems (QCIS), and for UTS: the five-year anniversary of QCIS. QCIS was established in April, 2008 by UTS Council to develop theoretical foundations, innovative technology and practical systems that will result in next generation enterprise intelligent information systems. Officially launched by NSW Chief Scientist and Scientific Engineer, Professor Mary O'Kane, QCIS has rapidly become a world-class research centre in the areas of: 1. Quantum computation and quantum
information, focusing on fundamental, theoretical research in quantum software.
2. Intelligent systems, data mining and knowledge discovery, and decision making capabilities; artificial intelligence relating to cognitive agents; smart data and knowledge representation; social networks and privacy issues; and risk management and financial services.
The Centre, under the leadership of Prof Chengqi Zhang, has achieved phenomenal success. Its accomplishments include: 29 ARC grants (18 Discovery grants, six Linkage grants, and five Future Fellowships); 305 publications in the most prestigious journals and conferences globally (previously ERA-rank A*/A papers). Since 2010, QCIS staff and students have been highly successful winning a range of awards, including: • Dr B Johnston, Dr M-H Hsieh and Dr W Bian
each won a UTS Chancellor's Postdoctoral Research Fellowship.
• Dr Y Gao and Dr B Johnston won the Chancellor's PhD Award in 2010 and 2011, respectively, for the highest ranked dissertation on the UTS commendation list.
• Five prestigious IBM PhD Fellowships, and
two Endeavour Fellowships, have been won by QCIS students.
• Three QCIS students have won esteemed Chinese Government awards.
• Five ARC Future Fellows: Prof Runyao Duan, Prof Xinquan Zhu, A/Prof Sanjiang Li, A/Prof Yuan Feng, and A/Prof Michael Bremner.
• Prof Chengqi Zhang received a NSW Science and Engineering Award in the Engineering, Information and Communications Technology category.
• Prof Chengqi Zhang, Prof Jie Lu, A/Prof Sanjiang Li, A/Prof Yuan Feng, and Ms Barbara Munday each received a UTS Vice-Chancellor's Awards for Research Excellence.
More detailed information about these awards can be found in this report. The Centre's success was demonstrated in May 2011 when the Centre underwent a major mid-term review by an expert panel to assess its performance, outcomes and future potential, with the result that the review panel recommended Centre funding be renewed and extended to 2017. Prof Zhang has driven the establishment of five new joint research centres: • UTS-Shanghai Jiao Tong University, Joint
Research Centre for Intelligent Systems. • UTS-Beijing Institute of Technology Joint
Research Centre for Data Mining and Service Technology.
• UTS-Academy of Mathematics and Systems Science (AMSS), Chinese Academy of Science, Joint Research Laboratory for Quantum Computation and Quantum Information Processing,
• UTS-Tsinghua University, Joint Research Centre for Quantum Computation and Artificial Intelligence.
• UTS-Huazhong University of Science and Technology, Joint Research Centre for Cyber-Physical Authentication.
UTS research is impact-driven and working with industry is a key part of this. QCIS has established a number of high-profile industry partnerships with the Capital Markets CRC, Westpac, Centrelink, HCF, Alcatel-Lucent Bell Labs, Optus, Coateshire, IBM Australia, Google, Microsoft, SAS, the Children's Hospital at Westmead, and the Australian Taxation Office. This First Five Years Report outlines QCIS' most outstanding achievements to date, and I have no doubt they will continue to deliver research with real benefit for Australia over the coming years. Professor Attila Brungs Deputy Vice-Chancellor (Research) University of Technology, Sydney
v
QCIS – The First Five Years: 2008 – 2013
QCIS – The First Five Years: 2008 – 2013
1. Overview of the Centre The Centre for Quantum Computation & Intelligent Systems The "Centre for Quantum Computation & Intelligent Systems (QCIS)" is a Priority Investment Research Program within the University of Technology, Sydney. It was established on 16 April 2008 and officially launched on 9 July 2009. The Centre is located in UTS at Building 10 at 235 Jones Street, Ultimo. It is staffed by approximately twenty academic staff, ten post-doctoral research fellows, and over seventy research students. Staff numbers include five current ARC Future Fellows and three UTS Chancellor’s Post-doctoral Fellows. The Centre has five research laboratories: Data Sciences and Knowledge Discovery, (DSKD) aims to foster both theoretical and practical innovation in areas of data mining and knowledge discovery, pattern recognition, machine learning, data sciences, and agent based knowledge mining, interaction, and integration. The objective of the DSKD Lab is to advance the theoretical knowledge discovery process, developing effective method-ologies, techniques and tools to bridge the gap between academia and industry to enable businesses intelligence and smart decisions. Director: Professor Xingquan Zhu, who joined UTS after gaining considerable experience with Microsoft Research Asia, and Purdue, Vermont and Florida Atlantic universities in the USA. His main areas of interest are data mining, machine learning, multimedia systems and bioinformatics. Decision Systems and e-Service Intelligence, (DeSI) focuses on the development of theories, methods, software tools and applications in the areas of decision support systems, prediction and early warning systems, recommender systems, computational intelligence, uncertain information processes, risk management and e-business/e-government service intelligence and personalisation, and more recently, cloud computing optimisation and applications. The Lab mainly solves theoretical and methodological problems arising in the field of decision systems and e-service intelligence. Director: Professor Jie Lu, who is also Head of the School of Software in the Faculty of Engineering and Information Technology at UTS. Her main research interests lie in the area of intelligent information systems, decision systems, uncertain information processing, warning systems, e-Government, and e-Service intelligence and personalisation. Innovation and Enterprise (the Magic Lab). The Lab’s primary objective is to understand the process of innovation, and the role of information technology and the law in the adoption of innovative and entrepreneurial practice. Business
needs to develop sustainable and high-performance innovation systems, and industry leaders recognise that emerging technologies have extraordinary potential to enhance business competitiveness, business performance, and business innovation Director: Professor Mary-Anne Williams, who is also Associate Dean in FEIT at UTS, and ARC College of Experts member from 2006-09. Her primary focus is modelling decision making in environments where the information gathered is uncertain, incomplete, or susceptible to change, which sits within the areas of intelligent information management and decision support. Knowledge Infrastructure (KIL), aims to use knowledge as the infrastructure to support decision making. This is done 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. Director: Dr Paul Kennedy, who co-initiated research collaboration with the Children’s Hospital at Westmead, the University of Western Sydney and Queen’s University, Canada. His work centres on developing clinical software tools to better diagnose and treat children with leukaemia. Quantum Computation (QC Lab), whose mission is to study theoretical questions arising in the field of quantum computation and information, and to explore its power from the viewpoint of theoretical computer science and information theory. It aims to be a world leading research laboratory in this research field. Key research topics include quantum programming, quantum algorithms, and quantum information theory. The Lab is also interested in Artificial Intelligence and its possible connection with quantum computing. Director: Professor Runyao Duan is also an ARC Future Fellow. His research interests focus on quantum information theory, quantum state/ operation discrimination, quantum zero-error information theory, and measurement-based quantum computation. In addition, QCIS works closely with: The Advanced Analytics Institute (AAI), which grew out of the DSKD Lab to become a separate UTS centre. Established in March 2011 by Professor Longbing Cao, the Institute focuses on practice-based analytics and business oriented decision-making research and services. Since its launch, the Institute has carved a strong niche in the broad-based field of analytics and exceeded the key performance indicators of its Business Plan. Director: Professor Longbing Cao is also Director of AAI, and Research Leader of the CMCRC Data Mining Program. His interests include behavioural and social informatics; actionable knowledge discovery and delivery, agent mining; and enterprise data analytics.
1
QCIS – The First Five Years: 2008 – 2013 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. The QCIS Centre’s Objectives are: 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 Aims of the QCIS Centre are: • To strategically concentrate the Centre’s
research effort to maintain our status as a world leader in quantum computation and selected areas in intelligent systems.
• To maintain competitive grant income for the Centre at an exemplary level that is commensurate with the Centre’s size and profile.
• To establish and maintain an association between the QCIS brand and ‘excellence in leading research in quantum computation and intelligent systems’ in centres throughout the world.
• To establish and maintain an image of QCIS as a ‘centre which understands, and can solve the problems of Australian government and industry’ within the Centre’s focus areas.
• To maintain the technical and administrative support for members of the Centre at a level commensurate with the Centre’s profile.
QCIS Senior Management
QCIS Director:
Professor Chengqi Zhang Chengqi Zhang has been a Research Professor in Information Technology at The University of Technology, Sydney (UTS) since December 2001. He is the Director of the UTS Research Centre for Quantum Computation & Intelligent Systems. He is also the Data Mining Program Leader at the Australian Capital Market Co-operative Research Centre. He 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 many applicat-ions. He has published more than 200 research papers. His most notable paper was published in “Artificial Intelligence” in 1992, the most prestigious journal in the Artificial Intelligence field. He has also pub-lished many papers in first-class international journals, such as Artificial Intelligence, IEEE and ACM Transactions. He has delivered 12 keynote/invited speeches at international conferences over the last seven years. As a Chief Investigator, he has held nine ARC Discovery and Linkage grants to date, in conjunction with other Chief Investigators. Due to his outstanding research achieve-ments, Professor Zhang received a 2011 NSW Science and Engineering Award in the Engineering, Information and Commun-ications Technology category, and a 2011 UTS Vice-Chancellor’s Award for Research Excellence in the Leadership category. Professor Zhang was elected as Chairman of the Australian Computer Society's National Committee for Artificial Intelligence in
2
QCIS – The First Five Years: 2008 – 2013 QCIS Director (cont.) November 2005. He was also elected as the Chairman of the Steering Committee of KSEM (International Conference on Knowledge Science, Engineering, and Management) in August 2006, and as a member of the Steering Committee for PRICAI (Pacific Rim International Conference on Artificial Intelligence) and PAKDD (Pacific-Asia Conference on Knowledge Discovery and Data Mining). In addition, Professor Zhang has been serving as an Associate Editor for three international journals, including IEEE Trans-actions on Knowledge and Data Engineering from 2005-2008. He served as General Chair, PC Chair, or Organising Chair for five internat-ional Conferences, including ICDM 2010 and WI/IAT 2008. He is also the Local Arrange-ments Chair for the International Joint Conference on Artificial Intelligence, 2017, to be held in Melbourne. He is a Senior Member of the IEEE Computer Society (IEEE) and a Fellow of the Australian Computer Society (ACS). From 2012-2014 he is an ARC College Member, serving on the Mathematics, Information and Computing Sciences panel.
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, which is reported in two research monographs: Knowledge Systems Design, Prentice-Hall, 1989, and Knowledge Engineering: Unifying Knowledge Base and Database Design, Springer-Verlag, 1998. John's recent work focuses on multi-agent systems. From 1998 to 2002 he published extensively in the area of multi-agent systems to manage complex business processes.
Since 2002 his work has concentrated on eNegotiation and argumentation agents. He is particularly interested in the design of agents that can exploit the information-rich environ-ment of electronic markets. In collaboration with QCIS Adjunct Professor Carles Sierra (IIIA, Barcelona) he is pioneering the foundations of information-based agency. Recent work has focussed on the evolution of normative multi-agent system s in unstable environments. He currently holds an ARC Linkage Grant (with Alcatel-Lucent Bell Labs).
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 Director of the Academic Committee at the State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing, China. His research interests are quantum computation and quantum information, formal methods and semantics of programming languages, and foundations of artificial intelligence. He has published numerous papers in ERA ranked A* journals, such as ACM Transactions on Program-ming Languages and Systems, IEEE Trans-actions on Information Theory, IEEE Trans-actions on Software Engineering, Artificial Intelligence, Physics Review Letters, etc, as well as top international conferences such as POPL and Concur. He is a world pioneer researcher in the quantum programming field. As Research Director of QCIS Professor Mingsheng Ying plays a key role in the management and future direction of the Centre. He is also centrally involved in the Quantum Computation Lab where his expertise in quantum programming is pivotal to the success of the Lab.
3
QCIS – The First Five Years: 2008 – 2013 QCIS Core Members • Associate Professor Michael Bremner • Dr Wei Bian • Professor Longbing Cao • Dr Ling Chen • Professor Eng Chew • Emeritus Professor John Debenham • Professor Runyao Duan • Associate Professor Yuan Feng • Dr Madhu Goyal • Dr Min-Hsiu Hsieh • Dr Farookh Hussain • Associate Professor Barry Jay • Dr Benjamin Johnston • Dr Paul Kennedy • Dr Bin Li • Dr Jun Li • Associate Professor Sanjiang Li • Dr Weiming Liu • Dr Hai Yan (Helen) Lu • Professor Jie Lu • Dr Dan Luo • Dr Zhenxing Qin • Professor Dacheng Tao • Dr Xun Wang • Professor Mary-Anne Williams • Dr Zhengjun Xi • 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
• Prof Zhong Li, Fern University, Germany • Professor Javier Montero, Facultad de
Ciencias Matemáticas, Universidad Complutense de Madrid, Spain
• Professor Hui-Ming Wee, Engineering Department, Chung Yuan Christian University, Taiwan
• Prof Jian-Bo Yang, Manchester Business School, UK
• Professor Xianyi Zeng, ENSAIT Textile Institute, France
• Professor Nong Zhang, School of Electrical, Mechanical & Mechatronic Systems, UTS, Australia
QCIS Adjunct Professors • Adjunct Professor Paul Beinat, CEO,
NeuronWorks Pty Ltd, Australia. • Adjunct Professor Daniel Catchpoole,
Bio-specimens Research & Tumour Bank, Children's Cancer Research Unit, The Kid's Research Institute, Children's Hospital, Westmead, Australia.
• Adjunct Professor Tony Cohn, University of Leeds, UK.
• Adjunct Professor Usama Fayyad, Chief Executive Officer, Open Insights, USA.
• Adjunct Professor Hamido Fujita, Director of ARISES, Iwate Prefectural University (IPU), Japan
• Adjunct Professor Peter Gärdenfors, Lund University, Sweden.
• Adjunct Professor Tom Osborn, Chief Scientist, Brandscreen Pty Ltd, Australia.
• Adjunct Professor Witold Pedrycz, Department of Electrical & Computer Engineering, University of Alberta, Canada
• Adjunct Professor Carles Sierra, Artificial Intelligence Research Institute (IIIA), Spanish Research Council (CSIC), Spain.
• Adjunct Professor Simeon Simoff, Professor and Head of School of Computing & Mathematics, UWS, Australia.
• Adjunct Professor Philip S. Yu, Wexler Chair in Information Technology, University of Illinois at Chicago, USA.
QCIS International Advisory Board The QCIS International Advisory Board provides advice on the Centre's research directions, key research activities, and anticipates and manages gradual changes in the Centre's active focus areas to take advantage of ongoing and future developments. Board members 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
4
QCIS – The First Five Years: 2008 – 2013 QCIS International Advisory Board (cont.) • 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.
The Centre for QCIS developed an initial Strategic Plan in 2009 (updated in 2011) in line with the UTS Strategic Plan, which out-lines QCIS’ goals for the years 2009-2014. Five Year Goals: 2009-2014 • To build a Centre of around 30
scientists, four technical and support staff, and 60 research students and fellows who span the leading-edge of the Centre’s focus areas.
• To demonstrate the value of an international Advisory Board of scientists at the highest level who are chosen both to support the activities of QCIS and to identify new opportunities.
• To establish and maintain a level of com-petitive 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.
QCIS Advisory Board at the Official Launch in July, 2009 – L-R: Prof Philip Yu, Prof Sue Rowley, Prof Mary Kane, Prof Chengqi Zhang, Prof Ah Chung Tsoi, Prof Sampson Abramsky
5
QCIS – The First Five Years: 2008 – 2013
2. Representative Research Achievements Floyd-Hoare Logic for Quantum Programs Floyd-Hoare logic is a logic system for reasoning rigorously about the correctness of computer programs. It was proposed by Tony Hoare in 1969 and seeded the work on the inductive assertion method of Robert Floyd in 1967. Its (relative) completeness was proved by Stephen Cook in 1978. Floyd-Hoare logic is the core of the subject of program verification, and at the centre of subjects on programming methodology and semantics of programming languages. It has been widely used in the software industry. To build a logical foundation for programming methodology for quantum computers, quite a few research groups tried to develop Floyd–Hoare logic for quantum programs, but did not fully succeed. Prof Mingsheng Ying established a full-fledged quantum Floyd-Hoare logic, and in particular proved its (relative) completeness (in ACM Transactions on Programming Languages and Systems, vol. 33, 2011, Article 19, 49 pages). One of the reviewers described this work as, “One of the landmarks in the development of the theory of quantum programming languages”. Bisimulation for Quantum Processes One of the most serious issues in quantum process algebra is to discover a quantum generalisation of bisimulation, which lies in a central position in process algebra. Quite a few versions of bisimulation have been defined for quantum processes in the literature, but in the best research they are only proved to be preserved by parallel composition of purely quantum processes where no classical communication is involved. A notion of bisimulation preserved by parallel compos-ition in the circumstance of both classical and quantum communication is crucial. However, because quantum states are not locally determined (entanglement) and quantum operations are normally non-commutative, this problem was very difficult, and remained open for quite a long time. A/Prof Yuan Feng, Prof Runyao Duan and Prof Mingsheng Ying completely solved this problem in the paper “Bisimulation for quantum processes”, published at ACM TOPLAS in 2012, the most prestigious international journal in programming language theory (a primary version of this paper was published in POPL2011). They also demon-strated the uniqueness of the solutions for recursive equations of quantum processes, which proves very useful in verifying complex quantum protocols. This breakthrough scientific work has led towards a comprehensive framework for modelling and reasoning about concurrent quantum systems, including distributed quantum computing systems and quantum communication protocols.
Igniting the Study of Quantum Zero-error Communication Since the seminal work of Prof C E Shannon in 1956, the study of zero-error communication and related topics has grown into a vast field called Zero-error Information Theory. Recently, there has been considerable interest in developing a quantum zero-error information theory by considering quantum effects in zero-error communication. In Physical Review Letters, vol. .101, 020501, 2008, Prof Runyao Duan and A/Prof Yaoyun Shi demonstrated that there are quantum channels for which a single use cannot transmit classical information perfectly, yet two uses can. This is the first non-trivial result in quantum zero-error information theory that fully demonstrates the quantum effect. Furthermore, in IEEE Transactions on Information Theory, vol. 59, 1164-1174, 2013, Prof Runyao Duan, Dr Simone Severini, and Prof Andreas Winter introduced a quantum generalisation of the celebrated Lovász theta function for quantum channels and found that this generalisation provides an upper bound for entanglement-assisted zero-error classical capacity. This research work has significantly advanced quantum zero-error information theory, and has triggered broad research interest. For instance, this research has lead to the notion of non-commutative graphs to characterise the zero-error communication behaviours of quantum channels. Qualitative Spatial Reasoning Direction relations between extended spatial objects are important commonsense knowledge. Recently, Goyal and Egenhofer proposed a relation model, known as the cardinal direction calculus (CDC), to represent direction relations between connected plane regions. The CDC is, perhaps, the most expressive qualitative calculus for directional information, and has attracted increasing interest from areas such as artificial intelligence, geographical information science, and image retrieval. Given a network of CDC constraints, the consistency problem is the decision of whether a network is realisable by connected regions in the real plane. A/Prof Sanjiang Li and his colleagues provided a cubic algorithm that checks the consistency of complete networks of basic CDC constraints, and proved that reasoning with the CDC is, in general, an NP-complete problem. For a consistent complete network of basic CDC constraints, their algorithm returns a canonical’ solution in cubic time. This cubic algorithm is also adapted to check the consistency of complete networks of basic cardinal constraints between possibly disconnected regions. This result has been published by Artificial Intelligence in 2010: 174 (12–13) 951–983.
6
QCIS – The First Five Years: 2008 – 2013
2. Representative Research Achievements (cont.) Ensemble Manifold Regularisation How do we build a robust learner with a few labeled samples while vast amounts of unlabeled samples are readily available? Manifold regularis-ation based semi-supervised learning and its variants effectively address this problem for classification and regression of various resources, eg, images, videos, and documents. However, the incorporated regularisation creates multiple hyper-parameters for intrinsic manifold approximation, and this makes the algorithm difficult to manipulate and inefficient for learning, in practice. Prof Dacheng Tao, along with his colleagues, developed an automatic approximation of the intrinsic manifold for general semi-supervised learning problems. Unfortunately, it is not trivial to define an optimisation function to obtain optimal hyper-parameters. Usually, pure cross-validation is considered, but it does not necessarily scale up. A second problem derives from the sub-optimality incurred by discrete grid search and over-fitting problems. Therefore, Prof Tao developed an ensemble manifold regularis-ation (EMR) frame-work to approximate the intrinsic manifold by combining several initial guesses. Algorithmically, he carefully designed EMR so it: i) learns both the composite manifold and the
semi-supervised learner jointly ii) is fully automatic for learning the intrinsic
manifold hyper-parameters implicitly, iii) is conditionally optimal for intrinsic manifold
approximation under a mild and reasonable assumption, and
iv) is scalable for a large number of candidate manifold hyper-parameters, from the perspectives of both time and space.
Furthermore, Prof Tao proved the convergence property of EMR to the deterministic matrix at rate root-n. Extensive experiments over both synthetic and real datasets demonstrate the effectiveness of the proposed framework. The results have been published by IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34 (6): 1227-1233, 2012. Real-time Learning and Classification for Big Data Streams Many organisations, such as financial firms, are today actively trying to extract meaning from an explosion of structured and unstructured data: social media streams, smartphone data, videos. The fundamental challenge of big data is the enormous volume, dynamic change, and need for real-time response.
When handling big data, our existing Knowledge Discovery and Data mining (KDD) frameworks severely lack scalability and real-time capacity, mainly because big data are treated as a static gigantic set, whereas data from applications such as social networks and surveillance videos are typically updated every single minute. Prof Xingquan Zhu and his colleagues' research intends to deliver real-time learning and classification systems for big data streams. The key challenge is to harness the big data volumes in order to enable real-time learning and pattern mining. To date, Prof Zhu's research has resulted in several important contributions, including: i) streaming feature selections from feature
streams; ii) active sampling and instance selection for data
streams; iii) real-time classification for data streams; and iv) structured pattern search and classification for
graph streams. The above research outcomes have been published extensively in premier journals and conference proceedings in related fields, including IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering, ACM International Conference on Knowledge Discovery and Data Mining (SIG KDD), amongst others.
Prof Mingsheng Ying Research Director,
QCIS
A/Prof Yuan Feng ARC Future Fellow
Prof Runyao Duan ARC Future Fellow
Prof Dacheng Tao
Prof Xingquan Zhu ARC Future Fellow
A/Prof Sanjiang Li ARC Future Fellow
7
QCIS – The First Five Years: 2008 – 2013
3. High-quality Research Publications A. QCIS Representative Publications 2013
1. Nilanjana Datta & Min-Hsiu Hsieh. 2013. One-shot Entanglement-assisted Cassical Communication. IEEE Transaction on Inform-ation Theory, vol.59, no.3, pp.1929-39.
2. Nilanjana Datta, Min-Hsiu Hsieh & Mark M. Wilde. 2013. Quantum Rate Distortion, Reverse Shannon Theorems, and Source-channel Separation. IEEE Transaction on Information Theory, vol.59, no.1, pp.615-30.
3. Runyao Duan, Simone Severini & Andreas Winter. 2013. Zero-error Communication via Quantum Channels and A Quantum Lovasz Theta Function. IEEE Transaction on Information Theory, vol.59, no.2, pp.1164-74.
4. Xindong Wu, Kui Yu, Wei Ding, Hao Wang & Xingquan Zhu. 2013. Online Feature Selection with Streaming Features. IEEE Transactions on Pattern Analysis and Machine Intelligence. Accepted on 22 August 2012. 2012
5. Yuan Feng, Runyao Duan & Mingsheng Ying. 2012. Bisimulation for Quantum Processes. ACM Transactions on Programming Languages and Systems (TOPLAS), vol.34, no.4.
6. Bo Geng, Dacheng Tao, Chao Xu, Linjun Yang & Xian-Sheng Hua. 2012. Ensemble Manifold Regularization. IEEE Transact-ions on Pattern Analysis and Machine Intelligence, vol.34, no.6, pp.1227-33.
7. Nengkun Yu, Runyao Duan & Mingsheng Ying. 2012. Four Locally Indistinguishable Ququad-Ququad Orthogonal Maximally Entangled States. Physical Review Letters, vol.109, no.2.
8. Zhang Zhang & Dacheng Tao. 2012. Slow Feature Analysis for Human Action Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, no.3, pp.436-50. 2011
9. Wei Bian & Dacheng Tao. 2011. Max-Min Distance Analysis by Using Sequential SDP Relaxation for Dimension Reduction. IEEE Transact-ions on Pattern Analysis and Machine Intelligence, vol.33, no.5, pp.1037-50.
10. Weiming Liu & Sanjiang Li. 2011. Reasoning about Cardinal Directions between Extended Objects. Artificial Intelligence, vol.175, no.18, pp.2155-69.
2010 11. 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.723-4.
12. 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.
13. Xie Chen, Runyao Duan, Zhengfeng Ji & Bei Zeng. 2010. Quantum State Reduction for Universal Measurement Based Computation. Physical Review Letters, vol.105, no.2.
14. Weiming Liu, Xiaotong Zhang, Sanjiang Li & Mingsheng Ying. 2010. Reasoning about Cardinal Directions between Extended Objects. Artificial Intelligence, vol.174, no.12-13, pp.951-83.
15. Mingsheng Ying. 2010. Quantum Computation, Quantum Theory and AI. Artificial Intelligence, vol.174, no.2, pp.162-76.
2009 16. Eric Chitambar & Runyao Duan. 2009.
Nonlocal Entanglement Transformations Achievable by Separable Operations. Physical Review Letters, vol.103, no.11.
17. Runyao Duan, Yuan Feng, Yu Xin & Mingsheng Ying. 2009. Distinguishability of Quantum States by Separable Operations. IEEE Transactions on Information Theory, vol.55, no.3, pp.1320-30.
18. Runyao Duan, Yuan Feng & Mingsheng Ying. 2009. Perfect Distinguishability of Quantum Operations. Physical Review Letters, vol.103, no.21.
19. Feng Yuan & Shi Yaoyun. 2009. Characterizing Locally Indistinguishable Orthogonal Product States. IEEE Transactions on Information Theory, vol.55, no.6, pp.2799-806.
8
QCIS – The First Five Years: 2008 – 2013
3. High-quality Research Publications (cont.) B. QCIS papers from 2009 to 2013 in
ERA-rated A* / A publications. ERA-ranked A* Journal Papers 2013
1. Khaled Amailef & Jie Lu. 2013. Ontology-supported Case-based Reasoning Approach for Intelligent M-Government Emergency Response Services. Decision Support Systems. Accepted on 26 January 2013.
2. Jamshaid Ashraf, Omar Khadeer Hussain & Farookh Khadeer Hussain. 2013. A Framework for Ontology Usage on the Web. The Computer Journal. Accepted.
3. Yongzhi Cao, Lirong Xia & Mingsheng Ying. 2013. Probabilistic Automata for Computing with Words. Journal of Computer and System Sciences, vol.79, no.1, pp.152-72.
4. Jun Cheng, Jiang Liu, Yanwu Xu, Fengshou Yin, Damon Wing Kee Wong, Ngan-Meng Tan, Dacheng Tao, Ching-Yu Cheng, Tin Aung & Tien Yin Wong. 2013. Superpixel Classification based Optic Disc and Optic Cup Segmentation for Glaucoma Screening. IEEE Transactions on Medical Imaging. Accepted on 11 February 2013.
5. Nilanjana Datta & Min-Hsiu Hsieh. 2013. One-shot Entanglement-assisted Cassical Communication. IEEE Transaction on Infor-mation Theory, vol.59, no.3, pp.1929-39.
6. Nilanjana Datta, Min-Hsiu Hsieh & Mark M. Wilde. 2013. Quantum Rate Distortion, Reverse Shannon Theorems, and Source-channel Separation. IEEE Transactions on Information Theory, vol.59, no.1, pp.615-30.
7. Runyao Duan, Simone Severini & Andreas Winter. 2013. Zero-error Communication via Quantum Channels and A Quantum Lovasz Number. IEEE Transactions on Information Theory, vol.59, no.2, pp.1164-74.
8. Anhar Fazal, Farookh Khadeer Hussain & Tharam Dillon. 2013. An intelligent approach for automatically grading spelling in essays using rubric-based scoring. Journal of Computer and System Sciences. Accepted on 21 January 2013.
9. Jun Li & Dacheng Tao. 2013. Exponential Family Factors for Bayesian Factor Analysis. IEEE Transactions on Neural Networks and Learning Systems. Accepted on 27 January 2013.
10. Jun Li & Dacheng Tao. 2013. Simple Exponential Family PCA. IEEE Trans-actions on Neural Networks and Learning Systems. Accepted on 10 December 2012.
11. Yong Luo, Dacheng Tao, Bo Geng, Chao Xu & Stephen J. Maybank. 2013. Manifold Regularized Multi-task Learn-ing for Semi-supervised Multi-label Image Classification. IEEE Transactions on Image Processing, vol.22, no.2, pp.523-36
12. Yong Luo, Dacheng Tao, Chang Xu, Chao Xu, Hong Liu & Yonggang Wen. 2013. Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification. IEEE Transactions on Neural Networks and Learning Systems. Accepted on 31 December 2012.
13. Zhuowei Luo, Zechun Hu, Yonghua Song, Zhiwei Xu & Haiyan Lu. 2013. Optimal Coord-ination of Plug-in Electric Vehicles in Power Grids with Cost-Benefit Analysis ─ Part II: A Case Study in China. IEEE Transactions on Power Systems. Accepted on 11 January 2013.
14. Yang Mu, Wei Ding & Dacheng Tao. 2013. Local Discriminative Distance Metrics Ensemble Learning. Pattern Recognition. Accepted on 10 January 2013.
15. Li Niu, Jie Lu, Guangquan Zhang & Dianshuang Wu. 2013. FACETS: A Cognitive Business Intelligence System. Information Systems. Accepted on 16 February 2013.
16. Bingyue Peng, Junjie Wu, Hua Yuan, Qingwei Guo & Dacheng Tao. 2013. ANEEC: A Quasi-Automatic System for Massive Named Entity Extraction and Categorization. The Computer Journal. Accepted on 25 July 2012.
17. Miaojing Shi, Xinghai Sun, Dacheng Tao & Chao Xu. 2013. W-tree Indexing for Fast Visual Word Generation. IEEE Transactions on Image Processing, vol.22, no.3, pp.1209-22.
18. Xinchao Wang, Wei Bian & Dacheng Tao. 2013. Grassmannian Regularized Struc-tured Multi-view Embedding for Image Classification. IEEE Transactions on Image Processing. Accepted on 3 February 2013.
19. Xindong Wu, Kui Yu, Wei Ding, Hao Wang & Xingquan Zhu. 2013. Online Feature Selection with Streaming Features. IEEE Transactions on Pattern Analysis and Machine Intelligence. Accepted on 22 August 2012.
20. Bing Xiao, Xinbo Gao, Dacheng Tao & Xuelong Li. 2013. Biview Face Recognition in the Shape-texture Domain. Pattern Recognition. Accepted in 2012.
21. Jun Yu, Dacheng Tao, Yong Rui & Jun Cheng. 2013. Pairwise Constraints Based Multiview Features Fusion for Scene Classification. Pattern Recognition, vol.46, no.2, pp.483-96.
9
QCIS – The First Five Years: 2008 – 2013
A* Journal Papers 2013 (cont.)
22. Chao Zhang & Dacheng Tao. 2013. Structure of Indicator Function Classes with Finite Vapnik-Chervonenkis Dimensions. IEEE Transactions on Neural Networks and Learning Systems. Accepted on 3 March 2013.
23. Tianyi Zhou & Dacheng Tao. 2012. Double Shrinking for Sparse Dimension Reduction. IEEE Transactions on Image Processing, vol.22, no.1, pp.244-57.
2012
24. Lingling An, Xinbo Gao, Xuelong Li, Dacheng Tao, Cheng Deng & Jie Li. 2012. Robust Reversible Watermarking via Clustering and Enhanced Pixel-Wise Masking. IEEE Transactions on Image Processing, vol.21, no.8, pp.3598-611.
25. Wei Bian & Dacheng Tao. 2012. Constrained Empirical Risk Minimization Framework for Distance Metric Learning. IEEE Transactions on Neural Networks and Learning Systems, vol.23, no.8, pp.1194-205.
26. Jun Cheng, Dacheng Tao, JiangLiu, Damon Wing Kee Wong, Ngan-Meng Tan, Tien Yin Wong & Seang Mei Saw. 2012. Peripapillary Atrophy Detection by Sparse Biologically Inspired Feature Manifold. IEEE Transactions on Medical Imaging, vol.31, no.12, pp.2355-65.
27. Yuan Feng, Runyao Duan & Mingsheng Ying. 2012. Bisimulation for Quantum Processes. ACM Transactions on Programming Languages and Systems (TOPLAS), vol.34, no.4.
28. Xinbo Gao, Kaibing Zhang, Dacheng Tao & Xuelong Li. 2012. Joint Learning for Single-image Super-resolution via A Coupled Constraint. IEEE Transactions on Image Processing, vol.21, no.2, pp.469-80.
29. Xinbo Gao, Kaibing Zhang, Dacheng Tao & Xuelong Li. 2012. Image Super-Resolution With Sparse Neighbor Embedding. IEEE Transactions on Image Processing, vol.21, no.7, pp.3194-205.
30. Yue Gao, Dacheng Tao, Rongrong Ji & Qionghai Dai. 2012. 3D Object Retrieval and Recognition With Hypergraph Analysis. IEEE Transactions on Image Processing, vol.21, no.9, pp.4290-303.
31. Bo Geng, Dacheng Tao, Chao Xu, Linjun Yang & Xian-Sheng Hua. 2012. Ensemble Manifold Regularization. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, no.6, pp.1227-33.
32. Naiyang Guan, Dacheng Tao, Zhigang
Luo & Bo Yuan. 2012. NeNMF: An Optimal Gradient Method for Nonnegative Matrix Factorization. IEEE Transactions on Signal Processing, vol.60, no.6, pp.2882-98.
33. Naiyang Guan, Dacheng Tao, Zhigang Luo & Bo Yuan. 2012. Online Non-negative Matrix Factorization With Robust Stochastic Approximation. IEEE Transactions on Neural Networks and Learning Systems, vol.23, no.7, pp.1087-99.
34. Jun Li & Dacheng Tao. 2012. On Preserv-ing Original Variables in Bayesian PCA With Application to Image Analysis. IEEE Transactions on Image Processing, vol.21, no.12, pp.4830-43.
35. Jun Li, Dacheng Tao & Xuelong Li. 2012. A Probabilistic Model for Image Represent-ation via Multiple Patterns. Pattern Recognition, vol.45, no.11, pp.4044-53.
36. Xiao Liu, Mingli Song, Qi Zhao, Dacheng Tao, Chun Chen & Jiajun Bu. 2012. Attribute-restricted Latent Topic Model for Person Re-identification. Pattern Recognition, vol.45, no.12, pp.4204-13.
37. Jun Ma, Guangquan Zhang & Jie Lu. 2012. A Method for Multiple Periodic Factor Prediction Problems Using Complex Fuzzy Sets. IEEE Transactions on Fuzzy Systems, vol.20, no.1, pp.32-45.
38. Muhammad Raza, Farookh Khadeer Hussain & Omar Khadeer Hussain. 2012. Neural Network-Based Approach for Predicting Trust Values Based on Non-uniform Input in Mobile Applications. The Computer Journal, vol.55, no.3, pp.347-78.
39. Qusai Shambour & Jie Lu. 2012. A Trust-semantic Fusion-based Recommendation Approach for E-business Applications. Decision Support Systems, vol.54, no.1, pp.768-80.
40. Mingli Song, Dacheng Tao, Chun Chen, Jiebo Luo & Chengqi Zhang. 2012. Prob-abilistic Exposure Fusion. IEEE Transactions on Image Processing, vol.21, no.1, pp.341-57.
41. Mingli Song, Dacheng Tao, Xiaoqin Huang, Chun Chen & Jiajun Bu. 2012. Three-Dimensional Face Reconstruction From a Single Image by a Coupled RBF Network. IEEE Transactions on Image Processing, vol.21, no.5, pp.2887- 97.
42. Jinhui Tang, Zheng-Jun Zha, Dacheng Tao & Tat-Seng Chua. 2012. Semantic-Gap-Oriented Active Learning for Multilabel Image Annotation. IEEE Transactions on Image Processing, vol.21, no.4, pp.2354-60.
43. Meng Wang, Hao Li, Dacheng Tao, Ke Lu & Xindong Wu. 2012. Multimodal Graph-Based Reranking for Web Image Search. IEEE Transactions on Image Processing, vol.21, no.11, pp.4649-61.
10
QCIS – The First Five Years: 2008 – 2013 A* Journal Papers 2012 (cont.) 44. Tao Wang, Zhenxing Qin, Shichao Zhang
& Chengqi Zhang. 2012. Cost-sensitive Classi-fication with Inadequate Labeled Data. Inform-ation Systems, vol.37, no.5, pp.508-16.
45. Jun Yu, Dacheng Tao & Meng Wang. 2012. Adaptive Hypergraph Learning and its Application in Image Classification. IEEE Transactions on Image Processing, vol.21, no.7, pp.3262-72.
46. Jun Yu, Meng Wang & Dacheng Tao. 2012. Semi-supervised Multiview Distance Metric Learning for Cartoon Synthesis. IEEE Transactions on Image Processing, vol.21, no.11, pp.4636-48.
47. Nengkun Yu, Runyao Duan & Mingsheng Ying. 2012. Four Locally Indistinguishable Ququad-Ququad Orthogonal Maximally Entangled States. Physical Review Letters, vol.109, no.2.
48. Chao Zhang, Wei Bian, Weisi Lin & Dacheng Tao. 2012. Discretized-Vapnik-Chervonenkis Dimension for Analyzing Com-plexity of Real Function Classes. IEEE Trans-actions on Neural Networks and Learning Systems, vol.23, no.9, pp.1461-72.
49. Chao Zhang & Dacheng Tao. 2012. Generalization Bounds of ERM-Based Learning Processes for Continuous-Time Markov Chains. IEEE Transactions on Neural Networks and Learning Systems, vol.23, no.12, pp.1872- 83.
50. Kaibing Zhang, Xinbo Gao, Dacheng Tao & Xuelong Li. 2012. Single Image Super-Resolution With Non-Local Means and Steering Kernel Regression. IEEE Transactions on Image Processing, vol.21, no.11, pp.4544-56.
51. Tiefeng Zhang, Jie Lu, Guangquan Zhang, Xiaopu Feng & Wanchun Yang. 2012. A New Index and Classification Approach for Load Pattern Analysis of Large Elec-tricity Customers. IEEE Transactions on Power Systems, vol.27, no.1, pp.153-60.
52. Zhang Zhang, Jun Cheng, Jun Li, Wei Bian & Dacheng Tao. 2012. Segment-based Features for Time Series Classification. The Computer Journal, vol.55, no.9, pp.1088-102.
53. Zhang Zhang & Dacheng Tao. 2012. Slow Feature Analysis for Human Action Recog-nition. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, no.3, pp.436-50.
54. Shuai Zheng, Kaiqi Huang, Tieniu Tan & Dacheng Tao. 2012. A Cascade Fusion Scheme for Gait and Cumulative Foot Pressure Image Recognition. Pattern Recognition, vol.45, no.10, pp.3603-10.
55. Tianyi Zhou, Dacheng Tao & Xindong Wu. 2012. Compressed Labeling on Distilled Labelsets for Multi-label Learning. Machine Learning Journal, vol.88, no.1-2, pp.69-126.
56. Zhenfeng Zhu, Xingquan Zhu, Yuefei Guo,
Yangdong Ye & Xiangyang Xue. 2012. In-verse Matrix-free Incremental Proximal Support Vector Machine. Decision Support Systems, vol.53, no.3, pp.395-405.
2011 57. Wei Bian & Dacheng Tao. 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.1037-50.
58. Hai Dong, Farookh Khadeer Hussain & Elizabeth Chang. 2011. A Framework for Discovering and Classifying Ubiquitous Services in Digital Health Ecosystems. Journal of Computer and System Sciences, vol.77, no.4, pp.687-704.
59. Xinbo Gao, Qian Wang, Xuelong Li, Dacheng Tao & Kaibin Zhang. 2011. Zernike Moment-Based Image Super Resolution. IEEE Transactions on Image Processing, vol.20, no.10, pp.2738-47.
60. Bo Geng, Dacheng Tao & Chao Xu. 2011. DAML: Domain Adaptation Metric Learning. IEEE Transactions on Image Processing, vol.20, no.10, pp.2980-89.
61. Randy Goebel & Mary-Anne Williams. 2011. Editorial: The Expansion Continues: Stitching together the Breadth of Disciplin-es Impinging on Artificial Intelligence. Artificial Intelligence, vol.175, no.5-6, pp.929.
62. 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, vol.20, no.7, pp.2030-48.
63. Naiyang Guan, Dacheng Tao, Zhigang Luo & Bo Yuan. 2011. Non-Negative Patch Align-ment Framework. IEEE Transactions on Neural Networks, vol.22, no.8, pp.1218-30.
64. Weiming Liu & Sanjiang Li. 2011. Reasoning about Cardinal Directions between Extended Objects: The NP Hardness Result. Artificial Intelligence, vol.175, no.18, pp.2155-69.
65. Xinchao Wang, Zhu Li & Dacheng Tao. 2011. Subspaces Indexing Model on Grassmann Manifold for Image Search. IEEE Transactions on Image Processing, vol.20, no.9, pp.2627-35.
66. Bo Xie, Meng Wang & Dacheng Tao. 2011. Toward the Optimization of Normalized Graph Laplacian. IEEE Transactions on Neural Networks, vol.22, no.4, pp.660-6.
11
QCIS – The First Five Years: 2008 – 2013 A* Journal Papers 2011 (cont.) 67. 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.105-15.
68. Mingsheng Ying. 2011. Floyd-hoare Logic for Quantum Programs. ACM Transactions on Programming Languages and Systems (TOPLAS), vol.33, no.6, pp.1-49
69. Mingsheng Ying & Yuan Feng. 2011. A Flowchart Language for Quantum Programming. IEEE Transactions on Software Engineering, vol.37, no.4, pp.466-85.
70. Jun Yu, Dongquan Liu, Dacheng Tao & Hock Soon Seah. 2011. Complex Object Correspondence Construction in Two-Dimensional Animation. IEEE Transactions on Image Processing, vol.20, no.11, pp.3257-69.
71. 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.1811-20.
72. 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.469-79.
73. Yan Zhang, Xingquan Zhu, Xindong Wu & Jeffrey P. Bond. 2011. Corrective Classification: Learning from Data Imperfections With Aggressive and Diverse Classifier Ensembling. Information Systems, vol.36, no.8, pp.1135-57.
74. Xingquan Zhu, Bin Li, Xindong Wu, Dan He & Chengqi Zhang. 2011. CLAP: Collaborative Pattern Mining for Distributed Information Systems. Decision Support Systems, vol.52, no.1, pp.40-51.
2010 75. 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.723-4.
76. 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.
77. Xie Chen, Runyao Duan, Zhengfeng Ji &
Bei Zeng. 2010. Quantum State Reduction for Universal Measurement Based Computation. Physical Review Letters, vol.105, no.2.
78. 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.
79. Randy Goebel & Mary-Anne Williams. 2010. The Expanding Breadth of Artificial Intelligence Research. Artificial Intelligence, vol.174, no.2, pp.133.
80. Weiming Liu, Xiaotong Zhang, Sanjiang Li & Mingsheng Ying. 2010. Reasoning about Cardinal Directions between Extended Objects. Artificial Intelligence, vol.174, no.12-13, pp.951-83.
81. Mingsheng Ying. 2010. Quantum Comput-ation, Quantum Theory and AI. Artificial Intelligence, vol.174, no.2, pp.162-76.
2009 82. Eric Chitambar & Runyao Duan. 2009.
Nonlocal Entanglement Transformations Achievable by Separable Operations. Physical Review Letters, vol.103, no.11.
83. Runyao Duan, Yuan Feng, Yu Xin & Mingsheng Ying. 2009. Distinguishability of Quantum States by Separable Oper-ations. IEEE Transactions on Information Theory, vol.55, no.3, pp.1320-30.
84. Runyao Duan, Yuan Feng & Mingsheng Ying. 2009. Perfect Distinguishability of Quantum Operations. Physical Review Letters, vol.103, no.21.
85. Mingsheng Ying & Yuan Feng. 2009. An Algebraic Language for Distributed Quantum Computing. IEEE Transactions on Computers, vol.58, no.6, pp.728-43.
86. Feng Yuan & Shi Yaoyun. 2009. Characterizing Locally Indistinguishable Orthogonal Product States. IEEE Transactions on Information Theory, vol.55, no.6, pp.2799-806.
12
QCIS – The First Five Years: 2008 – 2013 ERA-ranked A Journal Papers 2013
1. Vahid Behbood, Jie Lu & Guangquan Zhang. 2013. Fuzzy Refinement Domain Adaptation for Long Term Prediction in Banking Ecosystem. IEEE Transactions on Industrial Informatics. Accepted on 3 December 2012.
2. Vahid Behbood, Jie Lu & Guangquan Zhang. 2013. Fuzzy Bridged Refinement Domain Adaptation: Long Term Bank Failure Prediction. International Journal of Computational Intelligence and Applic-ations. Accepted on 15 January 2013.
3. Yifan Fu, Xingquan Zhu & A. K. Elmagarmid. 2013. Active Learning With Optimal Instance Subset Selection. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics. Accepted in July 2012.
4. Ya Gao, Guangquan Zhang, Jie Lu & Jun Ma. 2013. A Bi-level Decision Model for Customer Churn Analysis. Computational Intelligence. Accepted on 25 October 2012.
5. Faliang Huang, Shichao Zhang, Minghua He & Xindong Wu. 2013. Clustering Web Documents Using Hierarchical Represent-ation with Multi-granularity. World Wide Web. Accepted in December 2012.
6. Qinghua Huang, Dacheng Tao, Xuelong Li & Lianwen Jin. 2013. A Novel Unsuper-vised Feature Ranking Algorithm Based on Local Coherent Patterns Discovery. IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics. Accepted on 8 April 2011.
7. Bin Li, Ling Chen, Xingquan Zhu & Chengqi Zhan g. 2013. Noisy but Non-malicious User Detection in Social Recommender Systems. World Wide Web. Accepted on 28 March 2012.
8. Huawen Liu, Xindong Wu & Shichao Zhang. 2013. A New Supervised Feature Selection Method For Pattern Classification. Computational Intelligence. Accepted on 10 July 2012.
9. Zhiguo Long & Sanjiang Li. 2013. A Complete Classification of Spatial Relations Using the Voronoi-based 9-intersection Model. International Journal of Geographical Information Science. Accepted on 27 February 2013.
10. Jie Lu, Qusai Shambour, Yisi Xu, Qing Lin & Guangquan Zhang. 2013. A Web-based Personalized Business Partner Recommendation System Using Fuzzy Semantic Techniques. Computational Intelligence, vol.29, no.1, pp.27-69.
11. Jie Lu, Zheng Zheng, Guangquan Zhang, Qing He & Zhongzhi Shi. 2013. A New Solution Algorithm for Solving Rule-sets Based Bi-level Decision Problems.
Con-0currency and Computation: Practice and Experience. Accepted on 19 February 2012.
12. Ning Lu, Jie Lu, Hua Lin & Guangquan Zhang. 2013. A Customer Churn Predict-ion Model in Telecom Industry Using Boosting. IEEE Transactions on Industrial Informatics. Acceptance on 14 June 2012.
13. Julwan Purba, Jie Lu, Da Ruan & Guangquan Zhang. 2013. An Area Defuzzification Technique to Assess Nuclear Event Reliability Data from Failure Possibilities. International Journal of Computational Intelligence and Applications, vol.11, no.4.
14. Siamak Tafavogh, Karla Felix Navarro, Daniel R. Catchpoole & Paul J. Kennedy. 2013. Non-parametric and Integrated Framework for Segmenting and Counting Neuroblastic Cells within Neuroblastoma Tumor Images. Medical and Biological Engineering and Computing. Accepted on 7 January 2013.
15. Zhenjun Tang, Xianquan Zhang & Shichao Zhang. 2013. Robust Perceptual Image Hashing Based on Ring Partition and NMF. IEEE Transactions on Knowledge and Data Engineering. Accepted on 25 February 2013.
16. Hanning Yuan, Meng Fang & Xingquan Zhu. 2013. Hierarchical Sampling for Multi-Instance Ensemble Learning. IEEE Trans-actions on Knowledge and Data Engin-eering. Accepted on 28 October 2012.
17. Liangpei Zhang, Lefei Zhang, Dacheng Tao & Xing Huang. 2013. Tensor Discriminative Locality Alignment for Hyperspectral Image Spectral-Spatial Feature Extraction. IEEE Transactions on Geoscience and Remote Sensing, vol.51, no.1, pp.242-56.
2012
18. Wei Bian, Dacheng Tao & Yong Rui. 2012. Cross-domain Human Action Recognition. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol.42, no.2, pp.298-307.
19. Longbing Cao, Yuming Ou & Philip S. Yu. 2012. Coupled Behavior Analysis with Applications. IEEE Transactions on Knowledge and Data Engineering, vol.24, no.8, pp.1378-92.
20. Longbing Cao, Gerhard Weiss & Philip S. Yu. 2012. A Brief Introduction to Agent Mining. Autonomous Agents and Multi-Agent Systems, vol.25, no.3, pp.419-24.
21. Bo Geng, Yangxi Li, Dacheng Tao, Meng Wang, Zheng-Jun Zha & Chao Xu. 2012. Parallel Lasso for Large-scale Video Concept Detection. IEEE Transactions on Multimedia, vol.14, no.1, pp.55-65.
13
QCIS – The First Five Years: 2008 – 2013 ERA-ranked A Journal Papers 2012 (cont.) 22. Stephen J. Goodswen, Paul J. Kennedy &
John T. Ellis. 2012. Evaluating High-through-put Ab initio Gene Finders to Discover Proteins Encoded in Eukaryotic Pathogen Genomes Missed by Laboratory Techniques. PLoS One, vol.7, no.11, pp.e50609.
23. Naiyang Guan, Dacheng Tao, Zhigang Luo & Bo Yuan. 2012. NeNMF: An Optimal Gradient Method for Nonnegative Matrix Factorization. IEEE Transactions on Signal Processing, vol.60, no.6, pp.2882-98.
24. Jun Li & Dacheng Tao. 2012. Sampling Normal Distribution Restricted on Multiple Regions. Advances in Neural Information Processing Systems, vol.7663, pp.492-500.
25. Sanjiang Li & Anthony G Cohn. 2012. Reasoning with Topological and Directional Spatial Information. Computational Intelligence, vol.28, no.4, pp.579-616.
26. Yangxi Li, Bo Geng, Dacheng Tao, Zhengjun Zha, Linjun Yang & Chao Xu. 2012. Difficulty Guided Image Retrieval using Linear Multiple Feature Embedding. IEEE Transactions on Multimedia, vol.14, no.6, pp.1618-30.
27. Huawen Liu & Shichao Zhang. 2012. Noisy Data Elimination Using Mutual K-nearest Neighbor for Classification Mining. Journal of Systems and Software, vol.85, no.5, pp.1067-74.
28. Cheng Lu, Jianxin Chen & Runyao Duan. 2012. Some Bounds on the Minimum Number of Queries Required for Quantum Channel Perfect Discrimination. Quantum Information & Computation, vol.12, no.1-2, pp.138-48.
29. Jie Lu, Guangquan Zhang, Javier Montero & Luis Garmendia. 2012. Multifollower Trilevel Decision Making Models and System. IEEE Transactions on Industrial Informatics, vol.8, no.4, pp.974-85.
30. Monireh Sadat Mirtalaei, Morteza Saberi, Omar Khadeer Hussain, Behzad Ashjari & Farookh Khadeer Hussain. 2012. A Trust-based Bio-inspired Approach for Credit Iending Decisions. Computing, vol.94, no.7, pp.541-77.
31. Sazia Parvin, Farookh Khadeer Hussain, Omar Khadeer Hussain, Song Han, Biming Tian & Elizabeth Chang. 2012. Cognitive Radio Network Security: A Survey. Journal of Network and Computer Applications, vol.35, no.6, pp.1691-708.
32. Sazia Parvin, Farookh Khadeer Hussain, Jong Sou Park & Dong Seong Kim. 2012. A Survivability Model in Wireless Sensor Networks. Computers & Mathematics with Applications, vol.64, no.12, pp.3666-82.
33. Pavlos Peppas, Costas D. Koutras & Mary-Anne Williams. 2012. Maps in
Multiple Belief Change. ACM Transactions on Computational Logic, vol.13, no.4, pp.1-23.
34. Ya Su, Xinbo Gao, Xuelong Li & Dacheng Tao. 2012. Multivariate Multilinear Regression. IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, vol.42, no.6, pp.1560-73.
35. Mark M Wilde, Patrick Hayden, Francesco Buscemi & Min-Hsiu Hsieh. 2012. The Information-theoretic Costs of Simulating Quantum Measurements. Journal of Physics A: Mathematical and Theoretical, vol.45, no.45.
36. Jun Yu, Jun Cheng & Dacheng Tao. 2012. Interactive Cartoon Reusing by Transfer Learning. Signal Processing, vol.92, no.9, pp.2147-58.
37. Jun Yu, Dongquan Liu & Dacheng Tao. 2012. On Combining Multiple Features for Cartoon Character Retrieval and Clip Synthesis. IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, vol.42, no.5, pp.1413-27.
38. Lefei Zhang, Liangpei Zhang, Dacheng Tao & Xin Huang. 2012. On Combining Multiple Features for Hyperspectral Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol.50, no.3, pp.879-93.
39. Shichao Zhang. 2012. Nearest Neighbor Selection for Iteratively kNN Imputation. Journal of Systems and Software, vol.85, no.11, pp.2541-52.
40. Chunlai Zhou & Mingsheng Ying. 2012. Approximating Markov Processes Through Filtration. Theoretical Computer Science, vol.446, no.1, pp.75-97.
2011 41. Longbing Cao, Huaifeng Zhang,
Yanchang Zhao, Dan Luo & Chengqi Zhang. 2011. Combined Mining: Discovering Informative Knowledge in Complex Data. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol.41, no.3, pp.699-712.
42. Jianxin Chen, Xie Chen, Runyao Duan, Zhengfeng Ji & Bei Zeng. 2011. No-go Theorem For One-way Quantum Comput-ing On Naturally Occuring Two-level Systems. Physical Review A, vol.83, no.5.
43. Jun Cheng, Maoying Qiao, Wei Bian & Dacheng Tao. 2011. 3D Human Posture Segmentation by Spectral Clustering with Surface Normal Constraint. Signal Processing, vol.91, no.9, pp.2204-12.
44. Hai Dong, Farookh Khadeer Hussain & Elizabeth Chang. 2011. A Context-aware Semantic Similarity Model for Ontology Environments. Concurrency and Computation: Practice and Experience, vol.23, no.5, pp.505-24.
14
QCIS – The First Five Years: 2008 – 2013 A Journal Papers 2011 (cont.) 45. Yuan Feng, Runyao Duan & Mingsheng
Ying. 2011. Locally Undetermined States, Generalized Schmidt Decomposition and Application in Distributed Computing. Quantum Information and Computation, vol.9, no.11, pp.997-1012.
46. 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.718-27.
47. Xinbo Gao, Rong Fu, Xuelong Li, Dacheng Tao, Beichen Zhang & Huigen Yang. 2011. Aurora Image Segmentation by Combining Patch and Texture Thresholding. Computer Vision and Image Understanding, vol.115, no.3, pp.390-402.
48. 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.518-25.
49. 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.425-34.
50. Ya Gao, Guangquan Zhang, Jie Lu & Hui-Ming Wee. 2011. Particle Swarm Optimization for Bi-level Pricing Problems in Supply Chains. Journal of Global Optimization, vol.51, no.2, pp.245-54.
51. Dan He, Xingquan Zhu & Xindong Wu. 2011. Mining Approximate Repeating Patterns from Sequence Data with Gap Constraints. Computational Intelligence, vol.27, no.3, pp.336-62.
52. Kaiqi Huang, Dacheng Tao, Yuan Yuan, Xuelong Li & Tieniu Tan. 2011. Biologically Inspired Features for Scene Classification in Video Surveillance. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol.41, no.1, pp.307-13.
53. Barry Jay & Thomas Given-wilson. 2011. A Combinatory Account of Internal Structure. Journal of Symbolic Logic, vol.76, no.3, pp.807-26.
54. Jie Lu & Guangquan Zhang. 2011. Guest editorial: Optimization Techniques for Business Intelligence. Journal of Global Optimization, vol.51, no.2, pp.185-7.
55. Muhammad Raza, Omar Khadeer Hussain, Farookh Khadeer Hussain & Elizabeth Chang. 2011. Maturity, Distance and Density (MD2) Metrics for Optimizing
Trust Prediction for Business Intelligence. Journal of Global Optimization, vol.51, no.2, pp.285-300.
56. Si Si, Wei Liu, Dacheng Tao & Kwok-Ping Chan. 2011. Distribution Calibration in Riemannian Symmetric Space. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol.41, no.4, pp.921-30.
57. Bo Xie, Yang Mu, Dacheng Tao & Kaiqi Huang. 2011. m-SNE: Multiview Stochastic Neighbor Embedding. IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, vol.41, no.4, pp.1088-96.
58. Nengkun Yu, Runyao Duan & Mingsheng Ying. 2011. Any 2 Circle Times N Subspace Is Locally Distinguishable. Physical Review A, vol.84, no.1, pp.1-3.
59. 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.235-59.
60. Jie Zhang, Jie Lu & Guangquan Zhang. 2011. A Seasonal Auto-regresstive Model Based Support Vector Regression Prediction Method for H5n1 Avian Influenza Animal Events. International Journal of Computational Intelligence and Applications, vol.10, no.2, pp.199-230.
61. Jie Zhang, Guangquan Zhang & Jie Lu. 2011. Joint Sub-Classifiers One Class Classification Model for avian Influenza Outbreak Detection. International Journal of Computational Intelligence and Applic-ations (IJCIA), vol.10, no.4, pp.425-43.
62. Lefei Zhang, Liangpei Zhang, Dacheng Tao & Xin Huang. 2011. A Multi-feature Tensor for Remote-Sensing Target Recog-nition. IEEE Geoscience and Remote Sensing Letters, vol.8, no.2, pp.374-8.
63. Ruijun Zhang, Jie Lu & Guangquan Zhang. 2011. An Information Presentation Method Based on Tree-like Super Entity Component. Journal of Systems and Software, vol.84, no.8, pp.1306-18.
64. Ruijun Zhang, Jie Lu & Guangquan Zhang. 2011. A Knowledge-based Multi-role Decision Support System for Ore Blending Cost Optimization of Blast Furnaces. European Journal of Operational Research, vol.215, no.1, pp.194-203.
65. 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.340-71.
66. Xingquan Zhu. 2011. Cross Domain Semi-Supervised Learning Using Feature Formulation. IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, vol.41, no.6, pp.1627-38.
15
QCIS – The First Five Years: 2008 – 2013 A Journal Papers (cont.) 2010
67. Longbing Cao. 2010. Domain-Driven Data
Mining: Challenges and Prospects. IEEE Transactions on Knowledge and Data Engineering, vol.22, no.6, pp.755-69.
68. 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.1299-312.
69. Jianxin Chen & Mingsheng Ying. 2010. Ancilla-assisted Discrimination of Quant-um Gates. Quantum Information and Computation, vol.10, no.1-2, pp.160-77.
70. Eric Chitambar, Runyao Duan & Yaoyun Shi. 2010. Multipartite-to-bipartite Entanglement Transformations and Polynomial Identity Testing. Physical Review A, vol.81, no.5.
71. Runyao Duan & Yaoyun Shi. 2010. When Is There A Multipartite Maximum Entangl-ed State? Quantum Information and Computation, vol.10, no.11, pp.925-35.
72. Runyao Duan, Yu Xin & Mingsheng Ying. 2010. Locally Indistinguishable Subspaces Spanned By Three-qubit Unextendible Product Bases. Physical Review A, vol.81, no.3.
73. Xinbo Gao, Cheng Deng, Xuelong Li & Dacheng Tao. 2010. Geometric Distortion Insensitive Image Watermarking in Affine Covariant Regions. IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, vol.40, no.3, pp.278-86.
74. Zhengfeng Ji, Jianxin Chen, Zhaohui Wei & Mingsheng Ying. 2010. The LU-LC Conjecture Is False. Quantum Information and Computation, vol.10, no.1-2, pp.97-108.
75. Yangjia Li, Runyao Duan & Mingsheng Ying. 2010. Local Unambiguous Discrim-ination With Remaining Entanglement. Physical Review A, vol.82, no.3.
76. John Milton & 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.229-54.
77. 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.1137-47.
78. Mingsheng Ying & Yuan Feng. 2010.
Quantum Loop Programs. Acta Informatica, vol.47, no.4, pp.221-50.
79. Nengkun Yu, Runyao Duan & Mingsheng Ying. 2010. Optimal Simulation of A Perfect Entangler. Physical Review A, vol.81, no.3.
80. Nengkun Yu, Cheng Guo, Eric Chitambar & Runyao Duan. 2010. Tensor Rank of The Tripartite State Vertical Bar W> (Circle Times N). Physical Review A, vol.81, no.1, pp. 1-3.
81. 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.403-19.
82. 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.1607-21.
2009
83. Longbing Cao, Vladimir Gorodetsky & Pericles A. Mitkas. 2009. Agent Mining: The Synergy of Agents and Data Mining. IEEE Intelligent Systems, vol.24, no.3, pp.64-72.
84. Longbing Cao, Vladimir Gorodetsky & Pericles A. Mitkas. 2009. Guest Editors' Introduction: Agents and Data Mining. IEEE Intelligent Systems, vol.24, no.3, pp.14-15.
85. Xiaoping Chen, Wei Liu & Mary-Anne Williams. 2009. Introduction: Practical Cognitive Agents and Robots. Autonomous Agents and Multi-Agent Systems, vol.19, no.3, pp.245-7.
86. Barry Jay & Delia Kesner. 2009. First-class Patterns. Journal of Functional Programming, vol.19, no.2, pp.191-225.
87. Mary-Anne Williams, John Mccarthy, Peter Gärdenfors, Christopher Stanton & Alankar Karol. 2009. A Grounding Frame-work. Autonomous Agents and Multi-Agent Systems, vol.19, no.3, pp.272-96.
88. Mingsheng Ying, Yuan Feng, Runyao Duan & Zhengfeng Ji. 2009. An Algebra of Quantum Processes. ACM Transactions on Computational Logic, vol.10, no.3, pp.1-36.
16
QCIS – The First Five Years: 2008 – 2013 ERA-ranked A Conference Papers
2013 1. Lianhua Chi, Bin Li & Xingquan Zhu. 2013.
Fast Graph Stream Classification Using Discriminative Clique Hashing. The 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), Accepted on 20 December 2012.
2. Meng Fang, Jie Yin, Xingquan Zhu & Chengqi Zhang. 2013. Active Class Discovery and Learning for Networked Data. The 13th SIAM International Conference on Data Mining (SDM 2013), 2-4 May 2013, Austin, Texas, USA, Accepted.
3. Hooman Homayounfard, Paul J. Kennedy & Robin Braun. 2013. NARGES: Prediction Model for Informed Routing in a Communications Network. The 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), Accepted on 20 December 2012, Gold Coast, Brisbane, Australia.
4. Jing Jiang, Jie Lu, Guangquan Zhang & Guodong Long. 2013. Optimal Cloud Resource Auto-scaling for Web Application. 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), Accepted on 21 January 2013.
5. Chunyang Liu, Ling Chen & Chengqi Zhang. 2013. Mining Probabilistic Representative Frequent Patterns From Uncertain Data. The 13th SIAM International Conference on Data Mining (SDM 2013), Accepted.
6. Shirui Pan, Xingquan Zhu, Chengqi Zhang & Philip S. Yu. 2013. Graph Stream Classification using Labelled and Unlabeled Graphs. The 29th IEEE International Conference on Data Engineering (ICDE 2013), 8-12 April 2013, Brisbane, Australia, Accepted.
7. Siamak Tafavogh, Karla Felix Navarro, Daniel R. Catchpoole & Paul Kennedy. 2013. Segmenting Cellular Regions of Neuroblastoma Tumor and Splitting Overlapping Cells Using Shortest Path between Convex Regions of Cell Contours. Artificial Intelligence in Medicine, Accepted on 27 February 2013.
8. Li Wan, Ling Chen & Chengqi Zhang. 2013. Mining Frequent Serial Episodes over Uncertain Sequence Data. The 16th International Conference on Extending Database Technology (EDBT 2013), Accepted.
2012 9. Duo Chen, Jun Cheng & Dacheng Tao.
2012. Clustering-based Discriminative Locality Alignment for Face Gender Recognition. The 24th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012), 7-12 October 2012, Vila Moura, Algarve, Portugal, pp.4156-61.
10. Shan Chen & Mary-Anne Williams. 2012. Information Makes a Difference For Privacy Design. Pacific Asia Conference on Information Systems (PACIS 2012), 11-15 July 2012, Ho Chi Minh city, Vietnam.
11. Nur Atiqah Rochin Demong, Jie Lu & Farookh Khadeer Hussain. 2012. Multidimensional and Data Mining Analysis for Property Investment Risk Analysis. International Conference on Information Systems, 6-7 December 2012, Georgetown, Penang, Malaysia, World Academy of Science, Engineering and Technology (WASET), pp.118-23.
12. Hai Dong, Farookh Khadeer Hussain & Elizabeth Chang. 2012. Ontology-Learning-Based Focused Crawling for Online Service Advertising Information Discovery and Classification. International Conference on Service Oriented Computing (ICSOC), 12-15 November 2012, Shanghai, China, pp.591-8.
13. Xuhui Fan & Longbing Cao. 2012. A Theoretical Framework of the Graph Shift Algorithm. Proceedings of the Twenty-Sixth National Conference of the American Association for Artificial Intelligence (AAAI 2012), 22-26 July 2012, Toronto, Ontario, Canada, pp.2419-20.
14. Xuhui Fan, Lin Zhu, Longbing Cao, Xia Cui & Yew-Soon Ong. 2012. Maximum Margin Clustering on Evolutionary Data. ACM International Conference on Information and Knowledge Management (CIKM 2012), pp.625-34.
15. Meng Fang, Xingquan Zhu, Bin Li, Wei Ding & Xindong Wu. 2012. Self-taught Active Learning from Crowds. IEEE International Conference on Data Mining (ICDM 2012), 10-13 December 2012, Brussels, Belgium, pp.858-63.
16. Meng Fang, Xingquan Zhu & Chengqi Zhang. 2012. Active Learning from Oracle with Knowledge Blind Spot. The 26th Annual American Association for the Advancement of Artificial Intelligence Conference (AAAI-12) [Poster], 22-26 July 2012, Toronto, Canada, pp. 2421-2.
17
QCIS – The First Five Years: 2008 – 2013 A ConferencePapers 2012 (cont.) 17. Fei Gao, Dacheng Tao, Xuelong Li &
Xinbo Gao. 2012. Local Structure Divergence Index for Image Quality Assessment. The 19th International Conference on Neural Information Processing, 12-15 November 2012, Doha, Qatar, pp.337-44.
18. Muhammad A Hasan, Min Xu, Xiangjian He & Ling Chen. 2012. Shot Classification Using Domain Specific Features for Movie Management. The 17th International Conference on Database Systems for Advanced Applications (DASFAA 2012), pp.314-8.
19. Lihuo He, Dacheng Tao, Xuelong Li & Xinbo Gao. 2012. Sparse Representation for Blind Image Quality Assessment. IEEE International Conference on Computer Vision and Pattern Recognition, 18-20 June 2012, Providence, Rhode Island, US, pp.1114-21.
20. Lihuo He, Dongxue Wang, Xuelong Li, Dacheng Tao & Xinbo Gao. 2012. Color Fractal Structure Model for Reduced-Reference Colorful Image Quality Assessment. The 19th International Conference on Neural Information Processing, 12-15 November 2012, Doha, Qatar, pp.401-8.
21. Zhibin Hong, Xue Mei & Dacheng Tao. 2012. Dual-force Metric Learning for Robust Distractor Resistant Tracker. The 12th European Conference on Computer Vision, 7-13 October 2012, Firenze, Italy, pp.513-27.
22. Yunzhi Jiang, Pohsiang Tsai, Zhifeng Hao & Longbing Cao. 2012. A Novel Auto-parameters Selection Process for Image Segmentation. IEEE Congress on Evolutionary Computation, 10-15 June 2012, Brisbane, QLD, Australia, pp.1-7.
23. Preetinder Kaur, Madhu Lata Goyal & Jie Lu. 2012. Price Forecasting Using Dynamic Assessment of Market Conditions and Agent's Bidding Behavior. International Conference on Neural Information Processing (ICONIP 2012), 12-15 November 2012, Doha, Qatar, pp.100-8.
24. Bin Li, Xingquan Zhu, Lianhua Chi & Chengqi Zhang. 2012. Nested Subtree Hash Kernels for Large-scale Graph Classification over Streams. IEEE International Conference on Data Mining (ICDM 2012), 10-13 December 2012, Brussels, Belgium, pp.399-408.
25. Jun Li & Dacheng Tao. 2012. Sampling Normal Distribution Restricted on Multiple Regions. The 19th International Conference on Neural Information Processing, 12-15 November 2012, Doha, Qatar, pp.492-500.
26. Ruijiang Li, Bin Li, Ke Zhang, Cheng Jin &
Xiangyang Xue. 2012. Groupwise Constrained Reconstruction for Subspace Clustering. The 29 th International Conference on Machine Learning (ICDM 2012), Edinburgh, Scotland, UK, pp. 377-84.
27. Guahua Liang. 2012. An Investigation of Sensitivity on Bagging Predictors: An Empirical Approach. Twenty-Sixth Association for the Advancement of Artificial Intelligence, 22-26 July 2012, Toronto, Canada, pp.2439-40.
28. Guohua Liang & Chengqi Zhang. 2012. An Efficient and Simple Under-sampling Technique for Imbalanced Time Series Classification. Proceedings of the 21st ACM International Conference on Information and Knowledge Management, Maui, Hawaii, USA, ACM, pp.2339- 42.
29. Weiming Liu & Sanjiang Li. 2012. Solving Minimal Constraint Networks in Qualitative Spatial and Temporal Reasoning. Proceedings of the 18th International Conference on Principles and Practice of Constraint Programming, 8-12 October 2012, Quebec City, Canada, Springer-Verlag, pp.464-79.
30. Weiming Liu & Sanjiang Li. 2012. Here, There, but Not Everywhere: An Extended Framework for Qualitative Constraint Satisfaction. The 20th European Conference on Artificial Intelligence (ECAI 2012), 27-31 August 2012, Montpellier, France, IOS Press, pp.552-7.
31. Guodong Long, Ling Chen, Xingquan Zhu & Chengqi Zhang. 2012. TCSST: Tansfer Classification of Short and Sparse Text Using External Data. Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM 2012), Maui, Hawaii, USA, ACM, pp.764-72.
32. Jie Lu, Zhen Wen, Shimei Pan & Jennifer C. Lai. 2012. EPIC: A Multi-tiered Approach to Enterprise Email Prioritization. International Conference on Intelligent User Interfaces (IUI 2012), 14-17 February 2012, Lisbon, Portugal, pp.199-202.
33. Ning Lu, Jie Lu & Guangquan Zhang. 2012. Case-base Maintenance for Concept Drift. International Conference on Information Systems, 6-7 December 2012, Georgetown, Penang, Malaysia, World Academy of Science, Engineering and Technology (WASET), pp.333-40.
34. Tasneem Memon, Jie Lu & Farookh Khadeer Hussain. 2012. Semantic De-biased Associations (SDA) Model to Improve Ill-Structured Decision Support. International Conference on Neural Information Processing (ICONIP 2012), 12-15 November 2012, Doha, Qatar, Springer, pp.483-90.
18
QCIS – The First Five Years: 2008 – 2013 A ConferencePapers 2012 (cont.) 35. Mohsen Naderpour & Jie Lu. 2012. A
Fuzzy Dual Expert System for Managing Situation Awareness in a Safety Supervisory System. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 10-15 June 2012, Brisbane, Australia, pp.715-21.
36. Shirui Pan & Xingquan Zhu. 2012. CGStream: Continuous Correlated Graph Query for Data Streams. Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM 2012), 29 October-2 November 2012, Maui, Hawaii, USA, ACM, pp.1183-92.
37. Shirui Pan & Xingquan Zhu. 2012. Continuous Top-k Query for Graph Streams. Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM 2012), 29 October-2 November 2012, Maui, Hawaii, USA, ACM, pp.2659-62.
38. Steven Schockaert & Sanjiang Li. 2012. Convex Solutions of RCC8 Networks. The 20th European Conference on Artificial Intelligence (ECAI 2012), 27-31 August 2012, Montpellier, France, IOS Press, pp.726-31.
39. Moushumi Sharmin, Lawrence Bergman, Jie Lu & Ravi B. Konuru. 2012. On Slide-based Contextual Cues for Presentation Reuse. International Conference on Intelligent User Interfaces (IUI 2012), 14-17 February 2012, Lisbon, Portugal, pp.129-38.
40. Zhong She, Can Wang & Longbing Cao. 2012. CCE: A Coupled Framework of Clustering Ensembles. Proceedings of the Twenty-Sixth National Conference of the American Association for Artificial Intelligence (AAAI 2012), 22-26 July 2012, Toronto, Ontario, Canada, pp.2455-6.
41. Miaojing Shi, Xinghai Sun, Dacheng Tao & Chao Xu. 2012. Exploiting Visual Word Co-occurrence for Image Retrieval. The 20th ACM SIGMM International Conference on Multimedia, 29 October - 2 November 2012, Nara, Japan, pp.69-78.
42. Yin Song & Longbing Cao. 2012. Graph-based Coupled Behavior Analysis: A Case Study on Detecting Collaborative Manipulations in Stock Markets. IEEE International Joint Conference on Neural Networks, 10-15 June 2012, Brisbane, QLD, Australia, pp.1-8.
43. Yin Song, Longbing Cao, Xindong Wu, Gang Wei, Wu Ye & Wei Ding. 2012. Coupled Behavior Analysis for Capturing Coupling Relationships in Group-based Market Manipulations. The 18th ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining,
12-16 August 2012, Beijing, China, pp.976-84.
44. Guoxin Su, Mingsheng Ying & Chengqi Zhang. 2012. Semantic Analysis of Component-aspect Dynamism for Connector-based Architecture Styles. Joint Working IEEE/IFIP Conference on Software Architecture (WICSA) and European Conference on Software Architecture (WICSA/ECSA 2012), 20-24 Aug. 2012, pp.151-60.
45. Siamak Tafavogh, Paul J. Kennedy & Daniel R. Catchpoole. 2012. Determining Cellularity Status of Tumors Based on Histopathology Using Hybrid Image Segmentation. IEEE International Joint Conference on Neural Networks (IJCNN 2012), 10-15 June 2012, Brisbane, Australia, pp.1-8.
46. Can Wang, Mingchun Wang, Zhong She & Longbing Cao. 2012. CD: A Coupled Discretization Algorithm. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012), 29 May-1 June 2012, Kuala Lumpur, Malaysia, pp.407-18.
47. Senlin Wang, Qi Zhao, Mingli Song, Jiajun Bu, Chun Chen & Dacheng Tao. 2012. Learning Visual Saliency based on Object's Relative Relationship. The 19th International Conference on Neural Information Processing, 12-15 November 2012, Doha, Qatar, pp.318-27.
48. Wei Wei, Xuhui Fan, Jinyan Li & Longbing Cao. 2012. Model the Complex Dependence Structures of Financial Variables by Using Canonical Vine. ACM International Conference on Information and Knowledge Management (CIKM 2012), pp.1382-91.
49. Dianshuang Wu, Guangquan Zhang & Jie Lu. 2012. A Similarity Measure on Tree Structured Business Data. The 23rd Australasian Conference on Information Systems (ACIS), 3-5 December 2012, Geelong, Australia, pp.1-10.
50. Zhiang Wu, Junjie Wu, Jie Cao & Dacheng Tao. 2012. HySAD: A Semi-Supervised Hybrid Shilling Attack Detector for Trustworthy Product Recommendation (SIGKDD 2012). The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 12-16 August 2012, Beijing, China, pp.985-93.
51. Junfu Yin, Zhigang Zheng & Longbing Cao. 2012. USpan: An Efficient Algorithm for Mining High Utility Sequential Patterns. The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 12-16 August 2012, Beijing, China, pp.660-8.
19
QCIS – The First Five Years: 2008 – 2013 A ConferencePapers 2012 (cont.) 52. Jun Yu, Jun Cheng, Jianmin Wang &
Dacheng Tao. 2012. Transductive Cartoon Retrieval by Multiple Hypergraph Learning. The 19th International Conference on Neural Information Processing, 12-15 November 2012, Doha, Qatar, pp.269-76.
53. Nengkun Yu & Mingsheng Ying. 2012. Reachability and Termination Analysis of Concurrent Quantum Programs. Proceedings of the 23rd International Conference on Concurrency Theory (CONCUR 2012), pp.69-83.
54. Kaibing Zhang, Xinbo Gao, Dacheng Tao & Xuelong Li. 2012. Multi-scale Dictionary for Single Image Super-resolution. IEEE International Conference on Computer Vision and Pattern Recognition, 18-20 June 2012, Providence, Rhode Island, US, pp.1146-53.
55. Lin Zhu, Longbing Cao & Jie Yang. 2012. Multiobjective Evolutionary Algorithm-based Soft Subspace Clustering. IEEE Congress on Evolutionary Computation, 10-15 June 2012, Brisbane, QLD, Australia, pp.1-8.
56. Zhenfeng Zhu, Xingquan Zhu, Yangdong Ye, Yue-Fei Guo & Xiangyang Xue. 2012. Parallel Proximal Support Vector Machine for High-dimensional Pattern Classification. Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM 2012), 29 October-2 November 2012, Sheraton, Maui Hawaii, pp.2351-54.
2011 57. 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 2011), 27-30 June 2011, Taipei, Taiwan, pp.2676-83.
58. Wei Bian & Dacheng Tao. 2011. Learning a Distance Metric by Empirical Loss Minimization. International Joint Conferences on Artificial Intelligence (IJCAI-11), 16-22 July 2011, Barcelona, Spain, pp.1186-91.
59. Longbing Cao, Joshua Zhexue Huang, James Bailey, Yun Sing Koh & Jun Luo. 2011. New Frontiers in Applied Data Mining. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2011), 24-27 May 2011, Shenzhen, China, Springer.
60. Ling Chen & Chengqi Zhang. 2011. Semi-
supervised Variable Weighting for Clustering. SIAM International Conference on Data Mining (SDM), 28-30 April 2011, Mesa, Arizona USA, pp.863-71.
61. Shan Chen & Mary-Anne Williams. 2011. Grounding Data Purpose And Data Usage For Better Privacy Requirements Develop-ment: An Information System Perspective. Pacific Asia Conference on Information Systems (PACIS 2011), 9 July 2011, AIS Electronic Library (AISeL), pp.1-13.
62. Jun Cheng, Dacheng Tao, Jiang Liu, Damon Wing Kee Wong, Beng Hai Lee, Mani Baskaran, Tien Yin Wong & Tin Aung. 2011. Focal Biologically Inspired Feature for Glaucoma Type Classification. The 14th International Conference on Medical Image Computing and Computer-assisted Intervention - Volume Part III, Toronto, Canada, Springer-Verlag, pp.91-8.
63. Xiangjun Dong, Zhigang Zheng, Longbing Cao, Yanchang Zhao, Chengqi Zhang, Jinjiu Li, Wei Wei & Yuming Ou. 2011. e-NSP: Efficient Negative Sequential Pattern Mining Based on Identified Positive Patterns Without Database Rescanning. ACM International Conference on Information and Knowledge Management, October 2011, Glasgow, Scotland, UK, pp.825-30.
64. 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 (POPL 2011), pp.523-34.
65. Yifan Fu, Bin Li, Xingquan Zhu & Chengqi Zhang. 2011. Do They Belong to the Same Class: Active Learning by Querying Pairwise Label Homogeneity. ACM International Conference on Information and Knowledge Management (CIKM 2011), pp.2161-64.
66. 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, pp. 1776-7.
67. 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.
20
QCIS – The First Five Years: 2008 – 2013 A ConferencePapers 2011 (cont.) 68. Joshua Zhexue Huang, Longbing Cao &
Jaideep Srivastava. 2011. Advances in Knowledge Discovery and Data Mining. 15th Pacific-Asia Conference, PAKDD 2011, 24-27 May 2011, Shenzhen, China, Springer.
69. Barry Jay & Jens Palsberg. 2011. Typed Self-interpretation by Pattern Matching. Proceedings of the 16th ACM SIGPLAN International Conference on Functional Programming, Tokyo, Japan, ACM, pp.247-58.
70. Preetinder Kaur, Madhu Goyal & Jie Lu. 2011. Pricing Analysis in Online Auctions using Clustering and Regression Tree Approach. The 7th International Confer-ence on Agents and Data Mining Inter-action (ADMI 2011), 2-6 May 2011, Taipei, Taiwan, Springer-Verlag, pp.248-57.
71. Bin Li, Xingquan Zhu, Ruijiang Li, Chengqi Zhang, Xiangyang Xue & Xindong Wu. 2011. Cross-domain Collaborative Filtering Over Time. Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI-11)- Volume Three, Barcelona, Catalonia, Spain, AAAI Press, pp.2293-98.
72. Jun Li & Dacheng Tao. 2011. A Probabilistic Model for Discovering High Level Brain Activities from FMRI. The18th International Conference on Neural Information Processing - Volume Part I, Shanghai, China, Springer-Verlag, pp.329-36.
73. Jun Li & Dacheng Tao. 2011. Wisdom of Crowds: Single Image Super-resolution from the Web. IEEE International Conference on Data Mining, M. Spiliopoulou, H. Wang, D. Cook, J. Pei, W. Wang, O. Za & X. Wu(eds.), Los Alamitos, CA, USA, pp.812-6.
74. Ruijiang Li, Bin Li, Cheng Jin, Xiangyang Xue & Xingquan Zhu. 2011. Tracking User-Preference Varying Speed in Collaborative Filtering. Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2011), 7-11 August 2011, San Francisco, California, USA, pp.133-8.
75. Yangxi Li, Bo Geng, Zheng-Jun Zha, Dacheng Tao, Linjun Yang & Chao Xu. 2011. Difficulty guided image retrieval using linear multiview embedding. Proceedings of the 19th ACM internat-ional conference on Multimedia, Scotts-dale, Arizona, USA, ACM, pp.1169-72.
76. Yingfei Li, Bo Geng, Zheng-jun Zha, Yangxi Li, Dacheng Tao & Chao Xu. 2011. Query Expansion by Spatial Co-occurrence for Image Retrieval.
Proceedings of the19th ACM International
Conference on Multimedia, Scottsdale, Arizona, USA, ACM, pp.1177-80.
77. 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, pp.1802-3.
78. Weiming Liu, Shengsheng Wang, Sanjiang Li & Dayou Liu. 2011. Solving Qualitative Constraints Involving Land-marks. The 17th International Conference on Principles and Practice of Constraint Programming, 12-16 September 2011, Perugia, Italy, Springer-Verlag, pp.523-37.
79. Chao Luo, Yanchang Zhao, Dan Luo, Chengqi Zhang & Wei Cao. 2011. Agent-based Subspace Clustering. The 15th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining - Volume Part II, Shenzhen, China, Springer-Verlag, pp.370-81.
80. Yang Mu, Wei Ding, Dacheng Tao & Tom Stepinski. 2011. Biologically Inspired Model for Crater Detection. IEEE International Joint Conference on Neural Networks, 31 July-5 August 2011, San Jose, California, USA, pp.2487-95.
81. Odysseas Papapetrou & Ling Chen. 2011. XStreamCluster: An Efficient Algorithm for Streaming XML Data Clustering. International Conference on Database Systems for Advanced Applications (DASFAA), Springer Berlin / Heidelberg, pp.496-510.
82. Can Wang, Longbing Cao, Mingchun Wang, Jinjiu Li, Wei Wei & Yuming Ou. 2011. Coupled Nominal Similarity in Unsupervised Learning. ACM International Conference on Information and Knowledge Management, B. Berendt, et al (eds.), October 2011, Glasgow, UK, pp.973-78.
83. Senlin Wang, Mingli Song, Dacheng Tao, Luming Zhang, Jiajun Bu & Chun Chen. 2011. Opponent and Feedback: Visual Attention Captured Neural Information Processing. 18th International Conference on Neural Information Processing, B.-L. Lu, L. Zhang & J. Kwok(eds.), Springer Berlin / Heidelberg, pp.667-75.
84. Hui Wu, Guangzhi Qu & Xingquan Zhu. 2011. Self-adjust Local Connectivity Analysis for Spectral Clustering. Prceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2011), J. Huang, L. Cao & J. Srivastava (eds.), 24-27 May 2011, Shenzhen, China, Springer Berlin / Heidelberg, pp.209-24.
21
QCIS – The First Five Years: 2008 – 2013 A ConferencePapers 2011 (cont.) 85. Yanshan Xiao, Bo Liu, Jie Yin, Longbing
Cao, Chengqi Zhang & Zhifeng Hao. 2011. Similarity-based Approach for Positive and Unlabeled Learning. Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI 2011), 16-22 July 2011, Barcelona, Catalonia, Spain, pp.1577-82.
86. Yanshan Xiao, Bo Liu, Jie Yin, Longbing Cao, Chengqi Zhang & Zhifeng Hao. 2011. One-Class-Based Uncertain Data Stream Learning. SIAM International Conference on Data Mining (SDM 2011), pp.992-1003.
87. Heng Zhang, Yan Zhang, Mingsheng Ying & Yi Zhou. 2011. Translating First-Order Theories into Logic Programs. International Joint Conference on Artificial Intelligence (IJCAI-11), 16-22 July 2011, Barcelona, Spain, pp.1126-31.
88. Luming Zhang, Mingli Song, Wei Bian, Dacheng Tao, Xiao Liu, Jiajun Bu & Chun Chen. 2011. Feature Relationships Hypergraph for Multimodal Recognition. 18th International Conference on Neural Information Processing, pp.589-98.
89. Peng Zhang, Jun Li, Peng Wang, Byron J. Gao, Xingquan Zhu & Li Guo. 2011. Enabling Fast Prediction for Ensemble Models on Data Streams. Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, California, USA, ACM, pp.177-85.
90. Shuai Zheng, Bo Xie, Kaiqi Huang & Dacheng Tao. 2011. Multi-view pedestrian recognition using shared dictionary learning with group sparsity. 18th International Conference on Neural Information Processing, pp.629-38.
91. Tianyi Zhou & Dacheng Tao. 2011. GoDec: Randomized Low-rank & Sparse Matrix Decomposition in Noisy Case. International Conference on Machine Learning, L. Getoor, T. Scheffer & Omnipress(eds.), June 2011, Bellevue,Washington, USA, pp.33-40.
92. Zhuoli Zhou, Jiajun Bu, Dacheng Tao, Luming Zhang, Mingli Song & Chun Chen. 2011. Describing Human Identity Using Attributes. International Conference on Neural Information Processing, B.-L. Lu, L. Zhang & J. Kwok(eds.), Springer Berlin / Heidelberg, pp.86-94.
93. Lin Zhu, Longbing Cao & Jie Yang. 2011. Soft Subspace Clustering With Competitive Agglomeration. 2011 IEEE International Conference on Fuzzy Systems (FUZZ), 27-30 June 2011, pp.691-98.
2010
94. 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.
95. Shan Chen & Mary-Anne Williams. 2010. Privacy: An Ontological Problem. Pacific Asia Conference on Information Systems (PACIS 2010), pp.1402-13.
96. 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.414-7.
97. 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 (PACIS 2010), pp.1814-21.
98. Dan He, Xindong Wu & Xingquan Zhu. 2010. Rule Synthesizing from Multiple Related Databases. The 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010), M. Zaki, J. Yu, B. Ravindran & V. Pudi(eds.), June, Hyderabad, India, Springer Berlin / Heidelberg, pp.201-13.
99. Sanjiang Li. 2010. A Layered Graph Representation for Complex Regions. The 12th International Conference on the Principles of Knowledge Representation and Reasoning (KR 2010), 9-13 May 2010, Toronto, Canada, pp.581-3.
100. 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.
101. Bo Liu, Yanshan Xiao, Longbing Cao & Philip S Yu. 2010. Orientation Distance-
based Discriminative Feature Extraction for Multi-class Classification. ACM International Conference on Information and Knowledge Management (CIKM 2010), 26-30 October 2010, Toronto, Canada, pp.909-18.
102. Bo Liu, Jie Yin, Yanshan Xiao, Longbing Cao & Philip S Yu. 2010. Exploiting Local
Data Uncertainty to Boost Global Outlier Detection. International Conference on Data Mining (ICDM 2010), 14-17 December 2010, Sydney, Australia, pp.304-13.
22
QCIS – The First Five Years: 2008 – 2013 A ConferencePapers 2010 (cont.) 103. 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--80.
104. John Milton & Paul Kennedy. 2010. Entropy Profiles of Ranked and Random Populations. The 12th Annual Conference Companion on Genetic and Evolutionary Computation, Portland, Oregon, USA, ACM, pp.1843-50.
105. 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, pp.1-10.
106. Guoxin Su, Mingsheng Ying & Chengqi Zhang. 2010. An ADL-Approach to Specifying and Analyzing Centralized-Mode Architectural Connection. The 4th European Conference on Software Architecture (ECSA 2010), 23-26 August 2010, Copenhagen, Denmark, Springer-Verlag Berlin Heidelberg, pp.8-23.
107. 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.
108. 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, pp.1-10.
109. Xun Wang & Mary-Anne Williams. 2010. A Practical Risk Management Framework for Intelligent Information Systems. Pacific Asia Conference on Information Systems (PACIS 2010), pp.1866-73.
110. Yanshan Xiao, Bo Liu & Longbing Cao. 2010. K-farthest-neighbors-based Concept Boundary Determination for Support Vector Data Description. ACM International Conference on Information and Knowledge Management (CIKM 2010), 26-30 October 2010, Toronto, Canada, pp.1701-04.
111. Yanshan Xiao, Bo Liu, Longbing Cao, Jie Yin & Xindong Wu. 2010. SMILE: A Similarity-based Approach for Multiple Instance Learning. International Conference on Data Mining (ICDM 2010), 14-17 December 2010, Sydney, Australia, pp.589-98.
112. 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.338-46.
113. 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.641-9.
114. 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), 21-24 June 2010, Hyderabad, India, pp.89-100.
115. 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), 21-24 June 2010, Hyderabad, India, pp.55-62.
116. 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 Net-works (IJCNN 2010), 18-23 July 2010, pp.1-5.
117. 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.375-80.
118. Peng Zhang, Xingquan Zhu, Jianlong Tan & Li Guo. 2010. Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams. The 10th IEEE Internat-ional Conference on Data Mining (ICDM 2010), 13-17 December 2010, pp.1175-80.
119. 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 (CIKM 2010), 26-30 October 2010, Toronto, Canada, ACM, pp.1869-72
.
23
QCIS – The First Five Years: 2008 – 2013 A ConferencePapers 2010 (cont.) 120. Zhigang Zheng, Yanchang Zhao, Ziye
Zuo & Longbing Cao. 2010. An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010), 21-24 June 2010, Hyderabad, India, pp.262-73.
121. 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.388-96.
122. 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.1709-12.
2009
123. Shan Chen & Mary-Anne Williams. 2009. Privacy In Social Networks: A Comparative Study. Pacific Asia Conference on Information Systems (PACIS 2009), AIS Electronic Library (AISeL). pp.1-12.
124. Ya Gao, Guangquan Zhang, Jie Lu & Huiming Wee. 2009. A Fuzzy Bi-level Pricing Model and a PSO Based Algorithm in Supply Chains. The 16th International Conference on Neural Information Processing: Part II (ICONIP 2009), 1-5 December 2009, Bangkok, Thailand, Springer-Verlag, pp.226-33.
125. Weiming Liu, Sanjiang Li & Jochen Renz.
2009. Combining RCC-8 with Qualitative Direction Calculi: Algorithms and Complexity. the 21st International Joint Conference on Artificial Intelligence (IJCAI-09), 11-17 July 2009, Pasadena, California, USA, pp.854-9.
126. Ning Lu, Jie Lu & Guangquan Zhang. 2009. Maintaining Footprint-Based Retrieval for Case Deletion. The 16th International Conference on Neural Information Processing: Part II (ICONIP 2009), 1-5 December 2009, Bangkok, Thailand, Springer-Verlag, pp.318-25.
127. Wei Wang, Chuan Xiao, Xuemin Lin & Chengqi Zhang. 2009. Efficient Approximate Entity Extraction with Edit Distance Constraints. The 35th SIGMOD International Conference on Management of Data, Providence, Rhode Island, USA, ACM, pp.759-70.
128. Gang Zhao, Yun Xiong, Longbing Cao, Dan Luo, Xuchun Su & Yangyong Zhu. 2009. A Cost-Effective LSH Filter for Fast Pairwise Mining. The Ninth IEEE International Conference on Data Mining, IEEE Computer Society, pp.1088-93.
129. Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang & Hans Bohlscheid. 2009. Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data. Advances in Knowledge Discovery and Data Mining, pp.656-63.
130. Yanchang Zhao, Huaifeng Zhang, Shanshan Wu, Jian Pei, Longbing Cao, Chengqi Zhang & Hans Bohlscheid. 2009. Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns. Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), pp.648-63.
QCIS Publications at a Glance Statistics
ERA Rank 2009 2010 2011 2012 2013 Total
ERA A* Journals 5 7 18 33 23 86
ERA A Journals 6 16 26 23 17 88
ERA A Conferences 8 29 37 48 8 130
Total 19 52 81 104 48 304
24
QCIS – The First Five Years: 2008 – 2013 QCIS Publications at a Glance (cont.) Graphs depicting A* and A Journals, and A Conferences: 2009 to 2013 (to date)
Comparison: Graphs 1-3
25
QCIS – The First Five Years: 2008 – 2013
4. ARC Grants
No Title & Partner Organisation Project ID Chief & Partner Investigators
Grant Year/ Amount
A R C D IS C O V E R Y G R A N T S: 2008 — 2013 1 "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
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 Developing and Managing Sustainable Technology-Enabled Innovation Capabil-ities: An Information Systems Approach
DP0881876 Prof Steve Elliot Prof Mary-Anne Williams
2008: $95,000 2009: $90,000 2010: $85,000
4 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
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 Mining Multiple Information Sources through Collaborative and Comparative Analysis
DP1093762 Prof Chengqi Zhang A/Prof Xingquan Zhu A/Prof Jian Pei
2010: $115,000 2011: $110,000 2012: $110,000
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 Process Algebra Approach to Distributed Quantum Computation and Secure Quantum Communication
DP110103473 Prof Mingsheng Ying A/Prof Yuan Feng A/Prof Rajagopal Nagarajan
2011: $100,000 2012: $100,000 2013: $100,000
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 Adaptive Cyber-physical Technologies with Attention Driven Commonsense Behaviours
DP120102876 Prof Mary-Anne Williams Prof Peter B Gardenfors
2012: $120,000 2013: $100,000 2014: $100,000
11 A General Bayesian Multi-linear Analysis Framework for Human Behaviour Analysis
DP120103730 Prof Dacheng Tao Prof Stephen J Maybank
2012: $133,000 2013: $120,000 2014: $125,000
12 Artificial Intelligence meets Wireless Sensor networks: Filling the Gaps be-tween Sensors using Spatial Reason-ing. Administering organisation: The Australian National University
DP120103758 A/Prof Jochen Renz A/Prof Matt Duckham A/Prof Sanjiang Li
2012: $120,000 2013: $100,000 2014: $100,000
13 Quantum Effects in Zero-error Communication
DP120103776 A/Prof Runyao Duan Prof Andreas J Winter
2012: $100,000 2013: $ 80,000 2014: $ 80,000
14 Approximate Reasoning with Qualitative Spatial Constraints involving Landmarks
DP120104159 A/Prof Sanjiang Li A/Prof Jochen Renz Prof Anthony G Cohn
2012: $50,000 2013: $50,000 2014: $50,000
15 Mining large negative correlations for high-dimensional contrasting analysis
DP130102124 A/Prof Jinyan Li Dr Danial R Catchpoole Prof Limsoon Wong
2013: $105,000 2014: $105,000 2015: $110,000
16 Modelling and discovering complex interaction relations hidden in group behaviours in businesses, online and social communities.
DP130102691 Prof Longbing Cao Prof Phillip S Yu Prof Gerhard Weiss
2013: $120,000 2014: $120,000 2015: $120,000
26
QCIS – The First Five Years: 2008 – 2013 ARC Grants (cont.)
No Title & Partner Organisation Project ID Chief & Partner Investigators
Grant Year/ Amount
A R C D IS C O V E R Y G R A N T S: 2008 — 2013 17 Big data fast response: real-time
classification of big data streams DP130102748 Prof Xingquan Zhu
Prof Ahmed K Elmagarmid
2013: $105,000 2014: $105,000 2015: $105,000
18 Model-checking quantum Markov chains towards verification techniques for quantum cryptographic systems
DP130102764 A/Prof Yuan Feng Prof Mingsheng Ying Prof Prakash Panan-gaden
2013: $110,000 2014: $110,000 2015: $110,000
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: 2008 — 2013 19 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
20 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
21 Detecting significant changes in organisation customer interactions leading to non-compliance Partner Organisation: Centrelink
LP100200774 Prof Longbing Cao A/Prof Xingquan Zhu Prof Chengqi Zhang Dr Huaifeng Zhang Mr Brett D Clark Dr Yanchang Zhao Mr Peter G Newbigin
2010: $ 50,000 2011: $100,000 2012: $100,000 2013: $ 50,000
22 Establishing a Next Generation frame-work to Determine the Influence of Intelligent Water Metering on House-holder Attitudes and Behaviours Partner Organisation: Mid Coast Water, Wide Bay Water Corp
LP110200767 Prof Stuart B White Dr Rodney A Stewart Prof Mary-Anne Williams Dr Damien P Giurco Dr Kelvin R O'Halloran
2011: $ 29,000 2012: $ 55,000 2013: $ 61,500 2014: $ 35,500
23 Mining Complex Concurrency Relation-ship Patterns for Dynamic Customer/ Asset Interaction Modelling through novel Industrial Behaviour Networks Partner Organisation: Coates Hire
LP120100566 Prof Chengqi Zhang Prof Longbing Cao Dr Ling Chen Mr David I Wisener Mr Donald R Halloran Mr Alan T Wang Mr Cameron Monk
2012: $140,000 2013: $120,000 2104: $120,000
24 A Framework for Physical and Social Collaboration: Towards the Smarter Planet Vision Partner Organisation: IBM Australia Ltd
LP120100659 Prof Mary-Anne Williams Mr Glenn Wightwick Dr Benjamin G Johnston
2012: $ 75,000 2013: $ 70,000 2014: $ 75,000
27
QCIS – The First Five Years: 2008 – 2013
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 S: 2008 — 2013 25 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
26 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
27 Novel Data Mining Techniques for Complex Network Analysis and Control
FT100100971 Prof Xingquan Zhu 2010: $83,558 2011: $165,767 2012: $164,418 2013: $154,418 2014: $82,209
28 Supra-classical quantum simulation in physically restricted models of quantum computation
FT110101044 A/Prof Michael J Bremner
2011: $78,788 2012: $149,354 2013: $142,354 2014: $142,354 2015: $70,566
29 A mathematical foundation and novel solutions for highly secure communications
FT120100449 Prof Runyao Duan 2012: $85,378 2013: $169,460 2014: $169,460 2015: $169,460 2016: $84,082
QCIS Future Fellows
L-R: A/Prof Sanjiang Li, A/Prof Yuan Feng, Prof Xingquan Zhu A/Prof Michael Bremner, Prof Runyao Duan
28
QCIS – The First Five Years: 2008 – 2013
5. Research Students Current QCIS research students
Student Name Supervisors Admission date PhD / Masters
Mr Changxing Ding Prof Dacheng Tao August 2012 PhD Mr Fei Gao Prof Dacheng Tao October 2012 PhD Visitor Mr Mingming Gong Prof Dacheng Tao August 2012 PhD Mr Zhibin Hong Prof Dacheng Tao July 2011 PhD Ms Xiaoyan Li Prof Dacheng Tao October 2012 PhD Visitor Mr Tongliang Liu Prof Dacheng Tao August 2012 PhD Mr Lianyang Ma Prof Dacheng Tao May 2012 PhD Visitor Ms Maoying Qiao Prof Dacheng Tao July 2012 PhD Mr Wang Ruxin Prof Dacheng Tao March 2013 PhD Mr Nannan Wang Prof Dacheng Tao September 2011 PhD Visitor Mr Tianyi Zhou Prof Dacheng Tao February 2011 PhD Ms Supannada Chotipant Prof Chengqi Zhang/Dr Ling Chen March 2012 PhD Ms Guohua Liang Prof Chengqi Zhang March 2005 PhD P/T Mr Chunyang Liu Prof Chengqi Zhang/Dr Ling Chen March 2012 PhD Mr Xueping Peng Prof Chengqi Zhang/Dr Ling Chen March 2012 PhD Ms Shanshan Wu Prof Chengqi Zhang August 2008 PhD P/T Mr Hongzhi Yin Dr Ling Chen March 2013 PhD Visitor Mr Ting Guo Prof Xingquan Zhu March 2012 PhD Ms Lianhua Chi Prof Xingquan Zhu February 2013 PhD Mr Guodong Long Prof Xingquan Zhu January 2011 PhD Mr Meng Fang Prof Xingquan Zhu July 2011 PhD Ms Yifan Fu Prof Xingquan Zhu January 2010 PhD Mr Shirui Pan Prof Xingquan Zhu July 2011 PhD Mr Jia Wu Prof Xingquan Zhu August 2012 PhD Ms Raghavi N Yarasi Prof Xingquan Zhu August 2012 PhD P/T Mr Yi Zhang Prof Xingquan Zhu March 2010 PhD P/T 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 Hua Lin A/Prof Guangquan Zhang January 2009 PhD P/T Mr Yonggang (Frank) Zhang A/Prof Guangquan Zhang January 2011 PhD Mr Wei Tao A/Prof Guangquan Zhang July 2009 PhD P/T Mr Wei Wang A/Prof Guangquan Zhang August 2012 PhD Mr Dianshuang Wu A/Prof Guangquan Zhang January 2011 PhD Mrs Malak Al-Hassan Prof Jie Lu/Dr Helen Lu February 2008 PhD Ms Hongshu Chen Prof Jie Lu July 2011 PhD Ms Nur Atiqah Rochin Binti Demong Prof Jie Lu August 2009 PhD
Ms Jing (Jenny) Jiang Prof Jie Lu April 2010 PhD Mr Mingsong Mao Prof Jie Lu July 2011 PhD Mr Tasneem Memon Prof Jie Lu August 2009 PhD Mr Mohsen Naderpour Prof Jie Lu March 2011 PhD Mr Julwan Purba Prof Jie Lu February 2009 PhD Ms Fahimeh Ramezani Prof Jie Lu January 2012 PhD Dr Junyu Xuan Prof Jie Lu August 2012 PhD Mr Zhen Zhang Prof Jie Lu September 2012 PhD Visitor Mr Abdulah Alqahtani Dr Helen Lu July 2009 PhD Mr Reza Mashhadifarahani Khanmohammadi Dr Helen Lu January 2013 Master’s
Ms Thi Thanh Sang Nguyen Dr Helen Lu July 2009 PhD Mr Ali Anaissi Dr Madhu Goyal July 2009 Master's Ms Preetinder Kaur Dr Madhu Goyal March 2010 PhD Mr Haitham Yaish Dr Madhu Goyal April 2011 PhD Mr Syed Shaukat Raza Abidi Prof Mary-Anne Williams March 2012 PhD Mr Muh Anshar Prof Mary-Anne Williams January 2012 PhD Ms Shan Chen Prof Mary-Anne Williams April 2007 PhD P/T Mr Robert Lang Prof Mary-Anne Williams February 2012 PhD P/T
29
QCIS – The First Five Years: 2008 – 2013 Research Students (cont.) Current QCIS research students (cont.)
Student Name Supervisors Admission date PhD / Masters
Mr Rony Novianto Prof Mary-Anne Williams March 2008 PhD Mr Pramod Parajuli Prof Mary-Anne Williams January 2011 PhD Mr Nima T Ramezani Prof Mary-Anne Williams February 2012 PhD Mr Sylvan Ruddock Prof Mary-Anne Williams March 2009 PhD Mr David So Prof Mary-Anne Williams February 2012 PhD Ms Wei Wang Prof Mary-Anne Williams March 2010 PhD Mr Alireza Ahadi Dr Paul Kennedy August 2012 PhD Mr Hamid Ghous Dr Paul Kennedy July 2009 PhD Mr Hooman Homayounfard Dr Paul Kennedy January 2007 PhD Mr Qinxue (Max) Meng Dr Paul Kennedy February 2011 PhD Mr Siamak Tafavogh Dr Paul Kennedy July 2010 PhD Mr Franco Ubaudi Dr Paul Kennedy January 2003 PhD P/T Mr Haydn Mearns Prof John Debenham January 2009 PhD Mr Jose A Vegara-Medina A/Prof Barry Jay July 2009 PhD Mr Cheng Guo Prof Runyao Duan August 2010 PhD Mr Tao Zhou Prof Runyao Duan May 2012 PhD Visitor Mr Zhaofeng Su A/Prof Yuan Feng August 2012 PhD Mr Zhiwei Sun A/Prof Yuan Feng January 2013 PhD Mr Shenggang Ying A/Prof Yuan Feng February 2012 PhD Visitor Mr Yi-chan Lee Dr Min-Hsiu Hsieh April 2013 PhD Visitor Mr Zhiguo Long A/Prof Sanjiang Li February 2012 PhD Visitor Mr Guoxin Su Prof Mingsheng Ying July 2009 PhD
AAI Current research students
Student Name Supervisors Admission date PhD / Masters
Mr Hans Michael Bohlscheid Prof Longbing Cao January 2009 PhD P/T Ms Wei Cao Prof Longbing Cao July 2011 PhD Mr Yonghua Chen Prof Longbing Cao January 2011 PhD Mr Po Chun Chang Prof Longbing Cao February 2011 MSc Ms Xia Cui Prof Longbing Cao January 2011 PhD Mr Xuhui Fan Prof Longbing Cao July 2010 PhD Mr Ahmed Fattah Prof Longbing Cao July 2012 PhD P/T Ms Wen Hoschke Prof Longbing Cao January 2010 Master’s P/T Mr Fangfang Li Prof Longbing Cao August 2012 PhD Mr Jinjiu Li Prof Longbing Cao July 2009 PhD Mr Mu Li Prof Longbing Cao July 2011 PhD Mr Chunming Liu Prof Longbing Cao July 2011 PhD Ms Jing Ren A/Prof Jinyan Li July 2012 PhD Mr Zhong She Prof Longbing Cao July 2011 PhD Ms Renhua Song A/Prof Jinyan Li July 2012 PhD Mr Yin Song Prof Longbing Cao July 2010 PhD Ms Can Wang Prof Longbing Cao July 2009 PhD Ms Wei Wei Prof Longbing Cao July 2009 PhD Mr Wei (David) Wei Prof Longbing Cao July 2011 PhD Ms Jing Yang Prof Longbing Cao July 2012 PhD Mr Junfu Yin Prof Longbing Cao July 2010 PhD
30
QCIS – The First Five Years: 2008 – 2013 Research Students (cont.) QCIS research students graduated since 2009
Student Name Degree Year Principal Supervisor Dr Paul Bogg PhD Autumn 2009 Prof John Debenham Dr Dan Luo PhD Spring 2009 Prof Chengqi Zhang Dr Li Niu PhD Autumn 2009 Prof Jie Lu Mr Muhammad Anshar MSc Autumn 2010 Prof Mary-Anne Williams Dr John Edward Milton PhD Autumn 2010 Dr Paul Kennedy Dr Yuming Ou PhD Autumn 2010 Prof Chengqi Zhang Dr Artem Parakhine PhD Autumn 2010 Prof John Debenham (Prof John Leaney) Dr Ya Gao PhD Spring 2010 Assoc Prof Guangquan Zhang Dr Benjamin Johnston PhD Spring 2010 Graduated in absentia. Prof Mary-Anne
Williams Dr Ante Prodan PhD Spring 2010 Prof John Debenham Dr Khandaker Islam PhD Autumn 2011 Prof John Debenham Dr Sofianto Lee PhD Spring 2011 Dr Paul Kennedy Dr Chao Luo PhD Autumn 2011 Prof Chengqi Zhang Dr Jie (Jack) Zhang PhD Spring 2011 Prof Jie Lu Dr Khaled Amailef PhD Spring 2012 Prof Jie Lu Dr Wei Bian PhD Spring 2012 Prof Dacheng Tao Dr Thomas Given-Wilson PhD Spring 2012 A/Prof Barry Jay Dr Kiran Ijaz MSc Autumn 2012 Dr Anton Bogdanovych/Prof John Debenham Dr Tao Liu PhD Spring 2012 Prof Dacheng Tao Dr Jun Ma PhD Autumn 2012 A/Prof Guangquan Zhang Dr Qusai Shambour PhD Spring 2012 Prof Jie Lu Dr Yong Yang PhD Autumn 2012 Prof Chengqi Zhang
AAI research students since 2011
Student Name Degree Year Principal Supervisor Dr Bo Liu PhD 2011 (May) Prof Longbing Cao Dr Yan Shan Xiao PhD 2011 (Oct) Prof Longbing Cao Dr Zhigang Zheng PhD Autumn 2012 Prof Longbing Cao
QCIS students to graduate in 2013
Student Name Degree Year Principal Supervisor Dr Ahmad Aloqaily PhD Autumn 2013 Dr Paul Kennedy Dr Jebrin Al-Sharawneh PhD Autumn 2013 Prof Mary-Anne Williams Dr Vahid Behbood PhD Autumn 2013 Prof Jie Lu Dr Weiming Liu PhD Spring 2013 A/Prof Sanjiang Li Dr Ning (Philip) Lu PhD Autumn 2013 A/Prof Guangquan Zhang Dr Xun Wang PhD Autumn 2013 Prof Mary-Anne Williams
AAI students to graduate in 2013
Student Name Degree Year Principal Supervisor Mr Jia Hang Chen MSc Autumn 2013 Prof Longbing Cao
31
QCIS – The First Five Years: 2008 – 2013
6. Awards External Awards 2011: Prof Chengqi Zhang received a
NSW Science and Engineering Award in the Engineering, Information and Communications Technology category.
2011: Prof Dacheng Tao was elevated to a Fellow of:
• International Association of Pattern Recognition
• the British Computer Society; and
• the IET/IEE. 2011: Prof Dacheng Tao became an elected
member of the International Statistical Institute.
IBM PhD Fellowship Awards 2013: Ms Wei Wang (Magic Lab)
2012: Mr Pramod Parajuli (Magic Lb)
2012: Mr Jinjiu Li (AAI)
2011: Mr Rony Novianto (Magic Lab)
2010: Mr Xun Wang (Magic Lab Other Student Awards 2012: Mr Muh Anshar won an Endeavour
Fellowship to study in Indonesia. 2012: Ms Shan Chen won an Endeavour
Fellowship to study at Indiana University in Bloomington, USA for 2012-13.
2011: Mr Tianyi Zhou won first prize in the FEIT Research Showcase for Innovation Knowledge and Networks, and Intelligent Software.
2011: Mr Tianyi Zhou and Mr Weiming Liu each won a “Chinese Government Award for Outstanding Self-Financed Students Abroad”.
2011: Mr Wei Bian won "The Extraordinary Potential Prize" for the 'Chinese Government Award for Outstanding Self-Financed Students Abroad' (only nine in the world; Mr Bian is the only one outside the USA).
2011: Mr Pramod Parajuli won an Endeavour Leadership Award to study in Nepal.
2011: Mr Rony Novianto won an Endeavour Fellowship to study at Lund University in Sweden for six months.
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.
Internal Awards UTS Vice-Chancellor's Awards for
Research Excellence
2011: Three QCIS staff members won Vice-Chancellor's Awards for Research Excellence: • Research Leadership Award: Prof
Chengqi Zhang (joint recipient) • Early Career Research Excellence:
Highly Commended: A/Prof Yuan Feng • Research Support Award:
Ms Barbara Munday 2010: 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 Chancellor's Post-Doctoral Fellowships
2013: Dr Wei Bian (DSKD) 2012:
• Dr Min-Hsiu Hsieh (QCL), and • Dr Benjamin Johnston (Magic Lab).
Chancellor's PhD Award For the highest ranked dissertation from the top six on the UTS commendation list.
2011: Dr Benjamin Johnston (Magic Lab)
2010: Dr Ya Gao (DeSI Lab) Other Achievements
2013: Two joint research centres established: • UTS-Huazhong University of Science
and Technology, Joint Research Centre for Cyber-Physical Authentication.
• UTS-Tsinghua University, Joint Research Centre for Quantum Computation and Artificial Intelligence.
2012: One joint research centre established: • UTS-Academy of Mathematics and
Systems Science (AMSS). Chinese Academy of Science, Joint Research Laboratory for Quantum Computation and Quantum Information Processing.
2011: Two joint research centres established: • UTS-Shanghai Jiao Tong University, Joint
Research Centre for Intelligent Systems. • UTS-Beijing Institute of Technology , Joint
Research Centre for Data Mining and Service Technology.
32
QCIS – The First Five Years: 2008 – 2013
7. Professional Services Key roles in International Professional Organisations
Organisation Position Yeas Name Australian Computer Society (ACS) Fellow 2005-ongoing Prof John Debenham International Assoc of Pattern Recognition (IAPR)
Fellow 2012-ongoing Prof Dacheng Tao
International Society for Optical Engineering (SPIE)
Fellow 2012-ongoing Prof Dacheng Tao
International Statistical Institute (ISI) Elected Member (equal to Fellow)
2011-ongoing Prof Dacheng Tao
British Computer Society (BCS) Fellow 2011-ongoing Prof Dacheng Tao The Institution of Engineering and Technology (IET)
Fellow 2011-ongoing Prof Dacheng Tao
Australian Computer Society (ACS) Fellow 2009-ongoing Prof Chengqi Zhang Excellence in Research for Australia (ERA) Research Evaluation Committee
Chair 2011-2013 Prof Mary-Anne Williams
Australian Research Council College of Experts 2006-09 Prof Mary-Anne Williams
Australian Research Council College Member 2012-2014 Prof Chengqi Zhang Steering Committee for International Conference on Knowledge Science, Engineering, and Management (KSEM)
Chair 2006-ongoing Prof Chengqi Zhang
Australian Computer Society National Committee for Artificial Intelligence (AI)
Chair 2005-ongoing Prof Chengqi Zhang
Editorial Services for International Journals
Journal Position Year Name International Journal of Knowledge-Based Systems (Elsevier)
Editor-in-Chief 2009-ongoing Prof Jie Lu
International Journal of Knowledge-Based Systems (Elsevier)
Editor-in-Chief 2009-ongoing Prof Jie Lu
International Journal of Computational Intelligence Systems, Atlantis Press/Taylor and Francis
Editor-in-Chief 2007-ongoing Prof Jie Lu
IEEE Transactions on Systems, Man and Cybernetics: Part B
Associate Editor 2012-ongoing Prof Dacheng Tao
Pattern Recognition (Elsevier) Associate Editor 2011-ongoing Prof Dacheng Tao IEEE Transactions on Knowledge and Data Engineering
Associate Editor 2010-2011 Prof Dacheng Tao
Neurocomputing (Elsevier) Associate Editor 2007-ongoing Prof Dacheng Tao Computational Statistics & Data Analysis
Associate Editor 2008-ongoing Prof Dacheng Tao
Signal Processing (Elsevier) Editorial Board Member 2008-ongoing Prof Dacheng Tao Artificial Intelligence Journal (Elsevier)
Review Editor 2007-ongoing Prof Mary-Anne Williams
Artificial Intelligence Research Member, Editorial Board 2006-09 Mary-Anne Williams Artificial Intelligence Journal (Elsevier)
Associate Editor, Editorial Board
2008 – ongoing Prof Mingsheng Ying
Fuzzy Sets & Systems (Elsevier) Member, Editorial Board 2000 – ongoing Mingsheng Ying IEEE Transactions on Knowledge and Data Engineering (IEEE-TKDE)
Associate Editor 2007-2009 A/Prof Shichao Zhang
IEEE Transactions on Knowledge and Data Engineering (IEEE-TKDE)
Associate Editor 2009-2012 Xingquan Zhu
33
QCIS – The First Five Years: 2008 – 2013 Chairs at international conferences in 2011
Conference Name Position QCIS Personnel The 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2013), Gold Coast, Australia, 14-17 April 2013
General Co-Chair Prof Longbing Cao
The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2011), Shenzhen, China, 24-27 May 2011
Program Co-Chair Prof Longbing Cao
The 10th IEEE International Conference on Data Mining (ICDM 2010), Sydney, 14-17 December 2010
Conference Co-Chair Prof Chengqi Zhang
34
QCIS – The First Five Years: 2008 – 2013
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