CCAI 2021 Keynote Speakers | 特邀报告


Prof. Wang Jun (王钧 教授)
City University of Hong Kong, Hong Kong (香港城市大学)  

Fellow of IEEE & IAPR 

Biosketch: Jun Wang is the Chair Professor Computational Intelligence in the Department of Computer Science and School of Data Science at City University of Hong Kong. Prior to this position, he held various academic positions at Dalian University of Technology, Case Western Reserve University, University of North Dakota, and the Chinese University of Hong Kong. He also held various short-term visiting positions at USAF Armstrong Laboratory, RIKEN Brain Science Institute, Dalian University of Technology, Huazhong University of Science and Technology, and Shanghai Jiao Tong University (Changjiang Chair Professor). He received a B.S. degree in electrical engineering and an M.S. degree from Dalian University of Technology and his Ph.D. degree from Case Western Reserve University. His current research interests include neural networks and their applications. He published over 230 journal papers, 15 book chapters, 11 edited books, and numerous conference papers in these areas. He is the Editor-in-Chief of the IEEE Transactions on Cybernetics (2014-2019). He served as an Associate Editor of the IEEE Transactions on Neural Networks (1999-2009), IEEE Transactions on Cybernetics and its predecessor (2003-2013), and IEEE Transactions on Systems, Man, and Cybernetics: Part C (2002–2005), as a member of the editorial board of Neural Networks (2012-2014), editorial advisory board of International Journal of Neural Systems (2006-2013. He was an organizer of many international conferences such as the General Chair of the 13th/25th International Conference on Neural Information Processing (2006/2018), the 2008 IEEE World Congress on Computational Intelligence, and a Program Chair of the IEEE International Conference on Systems, Man, and Cybernetics (2012). He is an IEEE Fellow, IAPR Fellow, CAAI Fellow. He was a Distinguished Lecturer of the IEEE Computational Intelligence Society - CIS (2010-2012, 2014-2016) and the IEEE Systems, Man and Cybernetics Society - SMCS (2017-2019). In addition, he served in many professional organizations such as Asia Pacific Neural Network Assembly (APNNA) as President (2006) and IEEE Fellow Committee; IEEE CIS Awards Committee; IEEE SMCS Board of Governors. He is a recipient of the APNNA Outstanding Achievement Award in 2011, IEEE CIS Neural Networks Pioneer Award in 2014, CAAI Wu Wenjun AI Science and Technology Achievement Award in 2016, and IEEE SMCS Norbert Wiener Award and Outstanding Contribution Award in 2019, among other distinctions.  


Prof. Yuanqing Li (李远清 教授)
South China University of Technology, China (华南理工大学)  

Fellow of IEEE  

Biosketch: Yuanqing Li received the B.S. degree in applied mathematics from Wuhan University, Wuhan, China, in 1988, the M.S. degree in applied mathematics from South China Normal University, Guangzhou, China, in 1994, and the Ph.D. degree in control theory and applications from the South China University of Technology, Guangzhou, in 1997. Since 1997, he has been with the South China University of Technology, where he became a Full Professor in 2004. From 2002 to 2004, he was with the Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute, Japan, as a Researcher. From 2004 to 2008, he was with the Laboratory for Neural Signal Processing, Institute for Infocomm Research, Singapore, as a Research Scientist. He was elevated to IEEE Fellow for his contributions to brain signal analysis and BCIs, 2016. He won State Natural Science Awards (second prize), China, 2009, Changjiang Professorship, Ministry of Education, China, 2012, Distinguished Young Scholar Award, National Natural Science Foundation of China (NSFC), 2008, and so on. He was elevated you to IEEE Fellow for contributions to brain signal analysis and brain computer interfaces, 2016. His research interests include blind signal processing, sparse representation, machine learning, brain–computer interface, EEG, and fMRI data analysis. He has published more than 100 journal papers and 2 edited books since 1994, of which 70 were published in high level journals including Cerebral Cortex, NeuroImage, Human Brain Mapping, Journal of Neural Engineering, Neural Computation, Proceedings of the IEEE, IEEE Signal Processing Magazine, and 8 various IEEE transactions, e.g., IEEE Trans. Information Theory and EEE Trans. PAMI. He also has more than 30 publications in conferences including NIPS and WCCI. His BCI systems including brain-controlled wheelchairs were reported many times by news media including CCTV, China Daily, Hongkong Ta Kung Pao, and Australia New News. He has been serving as AE of several journals such as IEEE Trans. on Fuzzy Systems and IEEE Trans. on Human-Machine Systems.  


Prof. Haizhou Li (李海洲 教授)
National University of Singapore, Singapore (新加坡国立大学)  

Fellow of IEEE  

Biosketch: Haizhou Li received his Ph.D degree from South China University of Technology, Guangzhou, China in 1990. He is currently Professor at the Department of Electrical and Computer Engineering, National University of Singapore. His research interests include speech information processing, natural language processing, and neuromorphic computing.
Professor Li has served as the Editor-in-Chief of IEEE/ACM Transactions on Audio, Speech and Language Processing (2015-2018), the President of the International Speech Communication Association (ISCA, 2015-2017), and the President of Asia Pacific Signal and Information Processing Association (APSIPA, 2015-2016). He is a Fellow of the IEEE and the ISCA. He was named Nokia Professor in 2009 by Nokia Foundation, and Bremen Excellence Chair Professor in 2019 by University of Bremen. 


Prof. Changxu (Sean) Wu
Tsinghua University, China (清华大学)  

Biosketch: Dr. Wu graduated from the Department of Industrial and Operations Engineering at the University of Michigan Ann Arbor in 2007. After graduation, he worked as an assistant professor, associate professor, and tenured full professor at the State University of New York and the University of Arizona in the United States. In 2020, he was selected to return to China as a full-time tenured full professor at Tsinghua University. Dr. Wu's research integrates cognitive science and engineering systems design, and is committed to modeling human cognitive systems and their applications in system design, improving the safety and efficiency of human-computer systems, promoting human performance in human-computer interaction and optimizing human workload. Dr. Wu has published 133 papers in the field of human factors engineering, including 95 journal papers, 36 conference papers, 2 English monograph chapters, and a number of intelligent system design patents. IEEE Transactions on Intelligent Transportations Systems, MAN, and Cybernetics, IEEE Transactions on Intelligent Transportations Systems, Psychological Review (Impact Factor: 9.02), ACM Transactions on Computer-Human Interaction, and several other journals. He has served as Chair of the Human Performance Modeling Technology Group of the International Society for Human Factors Engineering (HFES). He is also an associate editor of four international SCI journals: IEEE Transactions on Human Machine Systems, IEEE Transactions on Intelligent Transportation Systems (IEEE Intelligent Transportation Systems), Human Factors and Ergonomics in Manufacturing & Service Industries, Behaviour & Information Technology. In 2015, he received the Senior Fellow of the Year Award from the Dean of the School of Engineering and Applied Sciences at the State University of New York at Buffalo. Dr. Wu trained students to work in Pennsylvania State University and other famous universities, as well as the United States General Motors, General Electric, Lenovo and other major enterprises.  


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