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Prof. LIU, Zhi-Qiang 劉志強

Position: Professor
Phone:
3442 5720
E-mail:
SMZLIU@cityu.edu.hk
Bldg Rm:
Rm ICSCM02, SCM,
Unit 501, InnoCentre,
Tatchee Avenue, Kowloon Tong

Academic Qualifications:

Ph.D. degree in Electrical Engineering from The University of Alberta, Canada

M.A.Sc. degree in Aerospace Engineering from the Institute for Aerospace Studies, The University of Toronto

B.Sc. degree in Automatic Control of Flying Objects (飞行器自动控制专业) from Northwestern Polytechnical University, Xi'an, China

Professional Background:

Dr Liu has worked in both academic and industry. He has taught in three Universities in Canada, the University of Melbourne, and City University of Hong Kong, SAR, China. Since joining the School of Creative Media, he has initiated a number of research and development projects on media/graphics systems that offer media students, content creators, and users new, intelligent active platforms. He has successfully supervised numerous postgraduate students all in computer science and media technologies.

Professor Liu was the Principal Investigator of the Intelligent Systems Lab (ISL) at the Department of Computer Science and Software Engineering, The University of Melbourne, Australia. He has taught Computer Architecture, Computer Networks, Artificial Intelligence, C programming language, Machine Learning, and Pattern Recognition and supervised many software development projects. His interests include scuba diving, shoo, when there is no shark around, photography, smart media systems, bush/beach walking, mountain (not rock!) hiking, horse riding--but cannot gallop, machine intelligence, classic music, painting/sketching, and fishing -- well, he has bought more fishing rods than the fish he caught.

As part of the China's Space Programme initiatives in the late of 70s, Dr Liu was selected by the Chinese Government to join the first small group of Chinese postgraduate students to study Areospace Science and Engineering in North America and Western Europe. Dr Liu was a Senior/Principal systems engineer in electronics and communications industry in China and Canada. He led the following major research and development projects: China's first generation of inertia-based guidance systems (惯性导航系统) for navigation of missiles and aircraft; Automated manufacturing systems; Channel equalization schemes in wireless and mobile communications; CDMA coding scheme initiatives (written in C programming language), which was supported in part by the Canadian Government; Wireless data communications, in particular, for mobile office scenarios; and Internet/Intranet wireless data communications in enterprises.

Professional Expertise / Research Interests:

  • Smart media systems
  • Machine intelligence and learning
  • Autonomous Animation
  • New approaches to delivering media contents
  • Mobile Lifestyle

Consultancy / Community / Professional Services / Awards:

Professor Liu has received a number of prestigious fellowships, scholarships. He is a recipient of Honorable Mention from the International Pattern Recognition Society for an Outstanding Contribution and the Outstanding Paper Award at the First International Conference on Machine Learning and Cybernetics cosponsored by IEEE Systems, Man and Cybernetics Society, and was a Distinguished Professor invited by the Department of Computing Science, University of Alberta, Canada. In 2005, on an invitation by the Department of Computer Science, Tsinghua University, he became a guest Chair Professor in Tsinghua University’s International Chair Professor Project, Beijing, China. Professor Liu has given invited seminars and speeches at universities in the world and as a Keynote Speaker at major international conferences.

Dr Liu served numerous international conferences as chairman or member of program committees. He is on editorial boards of several major international journals. Dr Liu is the Vice-Chairman and Chairman of IEEE Systems, Man and Cybernetics (SMC) Society, Hong Kong Chapter, co-founder and Chairman of IEEE SMC International Technical Committee on Media Computing (TCMC), and a member of IEEE International Technical Committee on Fuzzy Systems (TCFS). Dr Liu was invited as distinguished Professor by universities in China, Canada and Italy and presented many keynote speeches at interntational conferences. He is an IEEE Distinguished Lecturer in IEEE SCMS.

Selected, recent publications:

Books:

Liu, Z.Q. and Miyamoto. S. – Soft Computing and Human Centred Machines, Springer-Verlag, ISBN 4-431-70279-2 (March 2000)

N. Barnes and Liu, Z.Q. – Knowledge-Based Vision-Guided Robots, Springer-Verlag, ISBN 3-7908-1494-6, Springer-Verlag Berlin, New York (June 2002)

Liu, Z.Q., Cai, J.H., and Buse, R. – Handwritten Word Recognition: Soft Computing and Probabilistic approaches, ISSN 1434-9922, ISBN 3-540-40177-6, Springer-Verlag Berlin, New York (June 2003)

Refereed Journals

Liu, Z.Q., Bruton, L., Bezdek, J., Keller, J., Dance, S., and Bartley, N., and Zhang, C.S. – Dynamic Image Sequence Analysis Using Fuzzy Measures, IEEE Trans Systems, Man, and Cybernetics, vol.34, Part B, No.4 pp.557-572 Aug. (2001)

Cai, J.H. and Liu, Z.Q. – Hidden Markov Models with Spectral Features for 2-D Shape Recognition, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.23, No.12, pp.1454-1458, Dec. (2001)

Miao, Y., Liu, Z.Q., Siew, C.K., and Miao, C.Y. – Dynamic Cognitive Network--an extension of fuzzy cognitive map, IEEE Trans. Fuzzy Systems, vol.9, No.5, pp.760-770 Oct. (2001)

Cai, J.H. and Liu, Z.Q., – Pattern Recognition Using Markov Random Field Models, Pattern Recognition, Vol.33, No.3 pp.725-735 March (2002)

Li, X.B., Liu, Z.Q., and Leung K.M. – Detection of Vehicles from Traffic Scenes Using Fuzzy Measures, Pattern Recognition, vol.35, No.4, pp.967-980, April (2002)

Buse, R., Liu, Z.Q., and Bezdek, J. – Word recognition using fuzzy logic, IEEE Trans. Fuzzy Systems, Vol.10, No.1, pp.65-76, Feb. (2002)

Zhang, Y.J. and Liu, Z.Q. – Self-splitting Competitive Learning: a New On-line Clustering Paradigm, IEEE Trans. Neural Networks, Vol.13, No.2, pp.369-380, March (2002)

Liu, Z.Q. – Causal Networks and Their Decomposition Theories, Int. Journal Fuzzy Systems, Vol.4, No.4, pp.857-866, Dec. (2002)

Zhang, J.Y., Liu, Z.Q., and Zhou, S.M. – Quotient FCMs: A Decomposition Theory for Fuzzy Cognitive Maps, IEEE Trans Fuzzy Systems, Vol.11, No.5, pp.593-604, (Oct 2003).

Barnes, N. and Liu, Z.Q. – Embodied Categorisation for Vision-Guided Mobile Robots, Pattern Recognition, Vol.37, No.2, pp. 299-312, Feb. (2004)

Zhang, S.C. and Liu, Z.Q. – A Robust, Real-time Ellipse Detector, Pattern Recognition, Vol.38, No.2, Feb. pp.273-288, (2005)

Li, H.Z., Liu, Z.Q. and Zhu , X.H. – Hidden Markov Models with Factored Gaussian Mixtures Densities, Pattern Recognition , Vol.38, No.11, pp.2022 – 2031, (2005)

Zhang, J.Y., Liu, Z.Q. and Zhou, S.M. – Dynamic Domination in Fuzzy Causal Networks, IEEE Trans Fuzzy Systems, Vol.14, No.1, pp.42-57, Feb. (2006)

Zhou, S.M., Liu, Z.Q. and Zhang, J.Y. – Fuzzy Causal Networks: General Model, Inference and Convergence, IEEE Trans Fuzzy Systems, Vol.14, No.3, pp.412-420, June (2006)

Wang, Y., Liu, Z.Q. and Zhou, L.Z. – Key-styling: Learing Motion Style for Real-time Synthesis of Character Animations, Journal of Computer Animation and Virtual Worlds, Vol.17(3), pp.229-237, June (2006)

Xie L. and Liu, Z.Q. – Realistic Mouth-Synching for Speech-Driven Talking Face Using Articulatory Modelling, IEEE Transactions on Multimedia, Vol.9, No.3, pp. 500-510. April (2007)

Xie, L. and Liu, Z.Q. – A Coupled HMM Approach to Video-Realistic Speech Animation, Pattern Recognition, Vol.40, pp. 2325–2340, August (2007)

Zeng, Jia and Liu, Z.Q. – Markov Random Fields-based Statistical Character Structure Modeling for Chinese Character Recognition, IEEE Pattern Analysis and Machine Intelligence, Vol. 30, No. 5, pp.767-780, May (2008)

Zeng, Jia, Xie, L., and Liu, Z.Q. – Type-2 fuzzy Gaussian mixture models, Pattern Recognition, vol. 41, no. 12, pp. 3636-3643, (2008)

Zeng, J. and Liu, Z.Q. – Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition, IEEE Trans Fuzzy Systems, Vol. 16, no. 3, pp. 747-760, June (2008)

Feng W. and Liu, Z.Q. – Region-Level Image Authentication Using Bayesian Structural Content Abstraction, IEEE Transactions on Image Processing, Vol. 17, no. 12, pp. 2413-2424, Dec. (2008)

 

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