Keynote Speaker

Prof. CHEUNG, Yiu-ming (張曉明), IEEE Fellow, IET Fellow, 
BCS Fellow, RSA Fellow, IETI Distinguished Fellow
Hong Kong Baptist University, Hong Kong

Yiu-ming Cheung is a Full Professor of Department of Computer Science and an Associate Director of Institute of Computational and Theoretical Studies at Hong Kong Baptist University (HKBU). He received PhD degree from Department of Computer Science and Engineering at The Chinese University of Hong Kong in 2000, and then joined the Department of Computer Science at HKBU in 2001. He is an IEEE Fellow, IET/IEE Fellow, British Computer Society (BCS) Fellow, Fellow of the Royal Society of Arts (RSA), and Distinguished Fellow of International Engineering and Technology Institute, Hong Kong (IETI), as well as the “Chu Tian Scholars (楚天學者)” in China.

His research interests include Artificial Intelligence, Intelligent Visual Computing, Pattern Recognition, Data Mining, Watermarking, and Optimization. He has published over 250 articles in the high-quality conferences and journals, including IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Image Processing, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on SMC (Part B), Pattern Recognition, and so on. His co-authored work on multi-modal optimization won the championship in the competition of Multi-Niche Optimization held in CEC’2015 --- a flagship international conference on Evolutionary Computation. Moreover, he has been granted one Chinese patent and two US patents. In particular, selected from 1000 new inventions and products of 700+ competition teams from 40 countries, he was awarded two most prestigious prizes: (1) the Gold Medal with Distinction (i.e. the highest grade in Gold Medals) and (2) Swiss Automobile Club Prize, in the 45th International Exhibition of Invention, Geneva, Switzerland, on March 29-April 2, 2017, in recognition of his innovative work. Also, he was the Gold Award Winner of Hong Kong Innovative Invention Award in the Seventh Hong Kong Innovative Technologies Achievement Award 2017. In addition, he won the Gold Medal with Congratulations of Jury (i.e. the highest grade in Gold Medals) and the Award of Excellence from Romania, respectively, at the 46th International Exhibition of Inventions of Geneva 2018 with his invention “Lip-password: Double Security System for Identity Authentication”. Prof. Cheung was the recipient of an IEEE Distinguished Lecturer (2020-2022), 2011 Best Research Award in Department of Computer Science, HKBU, the recipient of Best Paper Awards in SEAL’2017, ISICA’2017, ICNC-FSKD’2014, and IEEE IWDVT’2005, respectively, the recipient of Best Student Paper Award in ISMIS’2018, and the recipient of 2017 IETI Annual Scientific Award. He has been recognized as the recipient of 2017-2019 Albert Nelson Marquis Lifetime Achievement Award.

He is the Founding Chairman of IEEE (Hong Kong) Computational Intelligence Chapter and the Chair of Technical Committee on Intelligent Informatics (TCII) of IEEE Computer Society. He has served in various capacities (e.g., Organizing Committee Chair, Program Committee Chair, Program Committee Area Chair, Financial Chair, Senior Program Committee Member, etc.) at several top-tier international conferences, including IEEE-sponsored IJCAI-ECAI’2018, ICDM’2017 & 2018, WCCI’2016, WI-IAT’2012, ICDM’2006 & WI-IAT’2006. Currently, he is the Associate Editor of several prestigious journals, including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, Pattern Recognition, Knowledge and Information Systems (KAIS), International Journal of Pattern Recognition and Artificial Intelligence, and Neurocomputing, as well as the Guest Co-editor in several international journals.

International Software Competition:
Yiu-ming Cheung, as the lead author, has proposed a novel approach and developed software accordingly to participate in the worldwide International Nonlinear Financial Forecasting Competition (INFFC), held in USA in 1995. In this competition, all participated software wastested using real-life financial data, and evaluated by more than 12 major performance evaluation indices. The performance of their developed software is at either first-place or second place under the measurement of these major indices. The detailed competition results, including the performance assessment of their software by a set of indices, are both published in the Proceedings of the First INFFC, edited by Randall B. Caldwell, Finance & Technology Publishing, 1997.

The List of Patents:
1.      “Method and Apparatus for Eye Gaze Tracking ” [US Patent: US9,563,805];
2.  “A Lip-password Based Speaker Verification System” [US Patent: US9,159,321B2, Video: Mandarin, English];
3. "An Infrared-Spectrum Based Recognition System for Identifying Chinese Herbal Species, Origins and Growth Mode with High-recognition Rate" [Chinese Patent: ZL200810005068.3, Introduction].


Prof. Kay Chen Tan, IEEE FELLOW
Editor-in-Chief of IEEE Transactions on Evolutionary Computation
City University of Hong Kong, Hong Kong

Kay Chen Tan (IEEE SM’08 - F’14) is currently a professor with the Department of Computer Science, City University of Hong Kong, Hong Kong SAR. He is the Editor-in-Chief of the IEEE Transactions on Evolutionary Computation (IF: 8.508), was the Editor-in-Chief of the IEEE Computational Intelligence Magazine (IF: 5.857) from 2010-2013, and currently serves as an associate editor/editorial board member of over 10 journals. He was the General Chair of several international flagship conferences, including the IEEE Congress on Evolutionary Computation 2019 and IEEE World Congress on Computational Intelligence 2016. He has published over 300 refereed articles and 10 books, among which “Modern industrial automation software design” has been translated into Chinese. Prof. Tan has been invited as a plenary speaker for over 60 international conferences, including IEEE World Congress on Computational Intelligence 2020 and IEEE Symposium Series on Computational Intelligence 2016 etc. He has received various awards for his outstanding contributions in artificial intelligence research, such as the 2019 IEEE Computational Intelligence Magazine and 2016 IEEE Transactions on Neural Network and Learning Systems Outstanding Paper Awards, 2012 Outstanding Early Career Award granted by the IEEE Computational Intelligence Society (CIS), and 2008 Recognition Award presented by the International Network for Engineering Education & Research etc. Prof. Tan’s research interests include artificial intelligence, evolutionary transfer learning and multi-objective optimization, data analytics and artificial intelligence applications in neuroengineering, operational research, and condition-based maintenance etc.

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