KEYNOTE SPEAKER I IN IPMV 2023
IEEE Fellow
Prof. James Tin-Yau Kwok, The Hong Kong University of Science and Technology, Hong Kong, China
Speech Title: Meta-learning with Many Tasks
Prof. Kwok is a Professor in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology. Prof. Kwok is serving as an Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems, Neural Networks, Neurocomputing, Artificial Intelligence Journal, International Journal of Data Science and Analytics, Editorial Board Member of Machine Learning, Governing Board Member and Vice President for Publications of the Asia Pacific Neural Network Society (APNNS). He also served/is serving as Senior Area Chairs / Area Chairs of major machine learning / AI conferences including NeurIPS, ICML, ICLR, IJCAI, AAAI and ECML. He is recognized as the Most Influential Scholar Award Honorable Mention for "outstanding and vibrant contributions to the field of AAAI/IJCAI between 2009 and 2019". He is an IEEE Fellow.
KEYNOTE SPEAKER III IN IPMV 2023
Prof. Chi Man Pun, University of Macau, Macau, China
Speech Title: Privacy Protection in Video Live Streaming
Chi-Man Pun received his Ph.D. degree in Computer Science and Engineering from the Chinese University of Hong Kong in 2002. He had served as the Head of the Department of Computer and Information Science from 2014 to 2019, where he is currently a Professor and in charge of the Image Processing and Pattern Recognition Laboratory. Dr. Pun has investigated many externally funded research projects as PI, and has authored/co-authored more than 200 refereed papers in many top-tier journals (including T-PAMI, T-IFS, T-IP, T-DSC, and T-KDE) and conferences (including ACM MM, ECCV, AAAI, ICDE, and VR). He has served as the General Chair/Co-Chair, Program/Local Chair for many international conferences, and SPC/PC member for many top CS conferences such as AAAI, CVPR, ICCV, ECCV, etc. His research interests include Image Processing and Pattern Recognition; Multimedia Information Security, Forensic and Privacy; Adversarial Machine Learning and AI Security, etc.
KEYNOTE SPEAKER III IN IPMV 2023
Prof. Hong Lin, University of Houston-Downtown, Houston, Texas, USA
Speech Title: Tear Proteomic Analysis
Temporary Keynote Talk: Mass Spectrometer Data Analysis in Biofilm Research
Hong Lin received his PhD in Computer Science from the University of Science and Technology of China. Before he joined the University of Houston-Downtown (UHD), he was a postdoctoral research associate at Purdue University, and an assistant research officer at the National Research Council, Canada. Dr. Lin is currently a Professor in Computer Science with UHD. His research interests include cognitive intelligence, human-centered computing, parallel/distributed computing, and big data analytics. He is the supervisor of the Grid Computing Lab and a co-founder of the Data Center at UHD. Dr. Lin currently serves as the program director for the Master of Science in Artificial Intelligence program at UHD. Dr. Lin is a senior member of the Association for Computing Machinery (ACM).
KEYNOTE SPEAKER IV IN IPMV 2023
Prof. LEUNG Andrew C S, City Univesity of Hong Kong, Hong Kong, China
Speech Title: Sparse Investment Portfolio Design and Finance Index Tracking
Chi-Sing Leung received the Ph.D. degree in computer science from the Chinese University of Hong Kong in 1995. He is currently a Professor in the Department of Electronic Engineering, City University of Hong Kong. His research interests include neural computing and computer graphics. He has published over 120 journal papers in the areas of Digital Signal Processing, Neural Networks, and Computer Graphics. In 2005, he received the 2005 IEEE Transactions on Multimedia Prize Paper Award for his paper titled, “The Plenoptic Illumination Function”. He was a member of Organizing Committee of ICONIP2006. He was the Program Chair of ICONIP2009 and ICONIP2012. He is the Associate Editors for IEEE Transactions on Neural Networks and Learning Systems, and Neural Processing Letters. He is/was the guest editors of several journals, including Neural Computing and Applications, Neurocomputing, and Neural Processing Letters. He is a governing board member of the Asian Pacific Neural Network Society (APNNS) and Vice President of APNNS.