Keynote Speakers

  • TBD

Invited Speakers

  • Prof. Ruslan Salakhutdinov, University of Toronto

Biography

Dr. Ruslan Salakhutdinov received his PhD in machine learning (computer science) from the University of Toronto in 2009. After spending two post-doctoral years at the Massachusetts Institute of Technology Artificial Intelligence Lab, he joined the University of Toronto as an Assistant Professor in the Department of Computer Science and Department of Statistics.

Dr. Salakhutdinov's primary interests lie in statistical machine learning, Deep Learning, probabilistic graphical models, and large-scale optimization. He is an action editor of the Journal of Machine Learning Research and served on the senior programme committee of several learning conferences including NIPS and ICML. He is the recipient of the Early Researcher Award, Connaught New Researcher Award, Alfred P. Sloan Research Fellowship, Microsoft Research Faculty Fellowship, Google Faculty Research Award, and is a Fellow of the Canadian Institute for Advanced Research.


  • Prof. Dit-Yan Yeung, Hong Kong University of Science and Technology

Biography

Dr. Yeung received his BEng degree in electrical engineering and MPhil degree in computer science from the University of Hong Kong (HKU), and PhD degree in computer science from the University of Southern California (USC) in 1989. He started his academic career in the same year as an assistant professor at the Illinois Institute of Technology (IIT) in Chicago. He then joined the Hong Kong University of Science and Technology (HKUST) where he is now a full professor in computer science and engineering.

Dr. Yeung's research interests include computational and statistical approaches to machine learning and artificial intelligence. He is also interested in applying machine learning techniques to computer vision and social computing.