Position:	Professor
Phone:	3442 5720
E-mail:	SMZLIU@cityu.edu.hk
Bldg Rm:	Rm M6031, SCM Run Run Shaw Creative Media Centre 18 Tat Hong 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, mostly PhD, postgraduate students in computer science, media technologies, and more recently, media art. In 2001, he established Media Computing Group (MCG) in the School of Creative Media. Professor Liu was the Director and Principal Investigator of Computer Vision and Machine Intelligence Lab (CVMIL)and then 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 open water scuba diving, shush, 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 Program initiatives in the late of 70s, in 1978 after going through a series of excruciatingly rigorous National Examinations and Screenings, Dr Liu was selected by the Chinese Government to join the first handful of Chinese postgraduate students to study Aerospace Science and Engineering in North America and Western Europe. He was fortunate to have studied at the world leading school, the Institute for Aerospace Studies (UTIAS), The University of Toronto, Ontario, Canada. After 3 years of extremely hard labor building the famous 襄渝 strategic railway through some of the most picturesque, rugged mountainous regions from Xianfan (襄樊) to Chongqing (重庆), in the early 1970s, he became a lab worker in an Innovation Group (技术革新小组) where he pioneered digital machinery (数控机床) for missile guidance systems (导弹制导系统), during which using spare time he managed to make up what he had lost due to the dreaded decade long Chinese Cultural Revolution completing his senior-high courses and university mathematics, physics and English all self-taught. Later he was lucky enough to be recommended with a unanimous vote by his work unit to study in Northwestern Polytechnic University, Xi'an, China that is one of the two best aerospace universities in China, majoring in Automatic Control of Flying Objects (飞行器自动控制专业，code-named 803 专业 ). Dr Liu was a Senior/Principal systems engineer in electronics and communications industry in China and Canada. Ever since the mid 1970s he participated or led the following major research and development projects: China's first generation of inertial guidance systems (惯性导航系统) for navigation of missiles and aircraft; Channel equalization schemes in wireless and mobile communications; Code Division Multiplex Access (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:

Professor Liu was the supervisor of the SCM's first two PhD students: one was on Media Technology, and the other on Narrative Techniques in Digital Media, and both won international student research awards. Dr Liu has been very successful in postgraduate education: Collectively his PhD students have won 7 research awards in both Media Arts and Media Technology. In a school with a good number of well-versed academic staff in the area of media theory and history, Professor Liu has published more than 85% of the School's total number of journal papers, mostly in high-impact, indexed top Intentional journals, such as IEEE Transactions on Pattern Analysis and Machine Learning, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks, IEEE Transactions on Multimedia,IEEE Transactions on Image Professing, IEEE Transactions on Systems, Man and Cybernetics, and Pattern Recognition, etc. In addition, Dr Liu has been very successful in competitive external research grants, in particular, the most competitive GRF grants: he has received more than 80% of the school's total GRF research grants over the years. Recently his application for a GRF grant supporting his project on Autonomous Animation and Active Media was ranked number one in Hong Kong for which he has been awarded the single largest GRF grant from RGC in Hong Kong. Active and Smart media systems Machine intelligence and learning Perceptible Documents Autonomous Animation New approaches to delivering media contents Mobile Lifestyle Art and Cultural phenomena in Web 2.0

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 that is one of the world's most prestigious and respected educational and academic institutions, he became a guest Chair Professor in Tsinghua University's International Chair Professor Project, Beijing, China. Professor Liu has given numerous invited seminars and speeches at universities in the world and was a keynote speaker at major international conferences. Professor LIU was recipient of the Teaching Excellence Award 2011-2012 by City University of Hong Kong. Professor LIU was the Conference Chair of the ACM SIGGRAPH Asia, Hong Kong December 12-15, 2011 http://www.siggraph.org/asia2011/ and the General Chair of the ACM SIGGRAPH VRCAI, Hong Kong December 11-12, 2011. He is the Vice President of the International Consortium on Uncertainty Theory and has been invited by the prestigious Shanghai Jiaotong University as an Academic Consultant to its School of Media and Design. Dr Liu has served numerous international conferences as chairman or member of program committees. He is an Associate Editor and Guest Editor for more than a dozen major international journals. In order to avoid the temptation of vanity and to focus on academic and educational matters, in principle Professor Liu doesn't join any professional associations, but offers his service when needed, which helps also save the dues. Professor Liu is a member of Hong Kong Government's Innovation and Technology Commission (ITC) and a member of the Vetting Committee, of the Advisory Committee of the IncuTrain Centre of Hong Kong Cyberport, and of Cyberport Entrepreneurship Centre Advisory Group (ECAG). Professor Liu served as a panel member of Hong Kong Research Grants Council (RGC) and RGC Joint Research Grants Scheme between CNFS and RGC for over seven years.

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) Feng, W., Jia, J. and Liu, Z.Q. – Self-Validated Labeling of Markov Random Fields for Image Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, No. 10, pp.1871-1887, Oct., 2010.

 

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