Speakers

Keynote Speakers

Prof. Chong-Yung Chi

IEEE Life Fellow, AAIA Fellow, AIIA Fellow

National Tsing Hua University, China

Chong-Yung Chi.jpg

Experience: Chong-Yung Chi (IEEE Life Fellow, AAIS & AllA Fellows, NAAl Member)received a B.S. degree from Tatung Institute of Technology, Taipei, Taiwan,in 1975, an M.S. degree from National Taiwan University, Taipei, Taiwan, in1977, and a Ph.D. degree from the University of Southern California, LosAngeles, CA, USA, in 1983, all in electrical engineering.

He is a Professor at National Tsing Hua University, Hsinchu, Taiwan. He has published more than 240 technical papers (with citations more than 9200 by Google-Scholar), including more than 100 journal papers (mainly in IEEE TRANSACTIONS ON SIGNAL PROCESSING), more than 140 peer-reviewed conference papers, 3 book chapters, and 2 books, including a textbook, Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications, CRC Press, 2017 (which has been popularly used in a series of invited intensive short courses at 10 top-ranking universities in Mainland China since 2010 before its publication). His research interests include signal processing for wireless communications, convex analysis and optimization for blind source separation, biomedical and hyperspectral image analysis, and Intelligent Fusion of Convex Optimization and Artificial Intelligence.

Dr. Chi received the 2018 IEEE Signal Processing Society Best Paper Award, entitled “Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization,” IEEE Transactions on Signal Processing, vol. 62, no. 21, Nov. 2014. He has been a Technical Program Committee member for many IEEE-sponsored and co-sponsored workshops, symposia, and conferences on signal processing and wireless communications, including Co-Organizer and General Co-Chair of the 2001 IEEE Workshop on Signal Processing Advances in Wireless Communications(SPAWC). He was an Associate Editor (AE) for four IEEE Journals, including IEEE TRANSACTIONS ON SIGNAL PROCESSING for 9 years (5/2001-4/2006, 1/2012-12/2015), and he was a member of Signal Processing Theory and Methods Technical Committee (SPTM-TC) (2005-2010), a member of Signal Processing for Communications and Networking Technical Committee (SPCOM-TC) (2011-2016), and a member of Sensor Array and Multichannel Technical Committee (SAM-TC) (2013-2018), IEEE Signal Processing Society.

Prof. James Tin-Yau KWOK

IEEE Fellow

Hong Kong University of Science and Technology, China

James Tin-Yau KWOK.jpg

Experience: Professor James Kwok is a Professor in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology. He is an IEEE Fellow.

He is B.Sc. degree in Electrical and Electronic Engineering from the University of Hong Kong and his Ph.D. degree in computer science from the Hong Kong University of Science and Technology. He then joined the Department of Computer Science, Hong Kong Baptist University as an Assistant Professor. He returned to the Hong Kong University of Science and Technology and is now a Professor in the Department of Computer Science and Engineering. He is serving / served 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, and an Action Editor of Machine Learning. He is also serving as Senior Area Chairs of major machine learning / AI conferences including NeurIPS, ICML, ICLR, IJCAI, and as Area Chairs of conferences including AAAI and ECML. He is on the IJCAI Board of Trustees. 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", an inaugural Highly Ranked Scholar by ScholarGPS, and among the Top 2% scientists (by Stanford University) since it was established in 2021. Prof Kwok is the IJCAI-2025 Program Chair and PAKDD-2026 General Chair.