Mathematics-Inspired Models: A Green and Interpretable Learning Paradigm (Delivered in English)
- LecturerProf. Ling Guan (Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Canada)
Host: Mark Liao - Time2024-10-08 (Tue.) 10:30 ~ 12:30
- LocationAuditorium 106 at IIS new Building
Abstract
The advances of machine learning (ML) and artificial intelligence (AI) have attracted wide attention in many applications. However, due to the concerns on sustainability and black-box nature associated with the contemporary ML models, especially deep neural networks (DNNs), green learning and interpretable learning have been extensively studied in recent years. After briefly reviewing recent advances in the green learning and interpretable learning, this talk will explore mathematics-inspired (M-I) learning models and explain why the M-I models are green in nature with numerous interpretable properties. We will then present several application examples in image and video processing and recognition to demonstrate that the M-I methodology promises a plausible and sustainable path for natural evolution of ML, which is worth further investment in.
BIO
Dr. Ling Guan received his Ph.D. Degree from University of British Columbia, Canada. From 1992 to 2001, he was on the Faculty of Engineering, University of Sydney, Australia. Dr. Guan is a Tier I Canada Research Chair in Multimedia and Computer Technology and a Professor of Electrical and Computer Engineering at Ryerson University/Toronto Metropolitan University, Toronto, Canada. He is the founding director of Ryerson/TMU Multimedia Research Lab and Centre for Interactive Multimedia Information Mining. Dr. Guan has been working on image, video and multimedia signal processing, human-computer interaction, pattern recognition and machine intelligence, and published extensively in the field. He has served on half a dozen editorial boards of IEEE Transactions and Magazines and chaired the 2006 IEEE International Conference on Multimedia and Expo in Toronto. He played the leading role in the inauguration of IEEE Pacific-Rim Conference on Multimedia in 2000 and served as the Founding General Chair. Dr. Guan is a Life Fellow of the IEEE, a Fellow of the Canadian Academy of Engineering and the Engineering Institute of Canada. He is an IEEE Circuits and System Society Distinguished Lecturer and a recipient of the 2005 IEEE Transactions on Circuits and Systems for Video Technology Best Paper Award. Dr. Guan is the awardee of the 2014 IEEE Canada C.C. Gotlieb Medel for his contributions to computer science and engineering.