Prof. C.-C Jay Kuo gave an invited talk on July 1st (Monday).
Presenter: Prof. C.-C Jay Kuo
Title: Interpretable Convolutional Neural Networks (CNNs) via Feedforward Design
Dr. C.-C. Jay Kuo received his Ph.D. degree from the Massachusetts Institute of Technology in 1987. He is now with the University of Southern California (USC) as Director of the Media Communications Laboratory and Distinguished Professor of Electrical Engineering and Computer Science. His research interests are in the areas of media processing, compression and understanding. Dr. Kuo was the Editor-in-Chief for the IEEE Trans. on Information Forensics and Security in 2012-2014. Dr. Kuo received the 2016 IEEE Computer Society Taylor L. Booth Education Award, the 2016 IEEE Circuits and Systems Society John Choma Education Award, the 2016 IS&T Raymond C. Bowman Award, the 2017 IEEE Leon K. Kirchmayer Graduate Teaching Award and the 2019 IEEE Computer Society Edward J. McCluskey Technical Achievement Award. Dr. Kuo is a Fellow of AAAS, IEEE and SPIE. He has guided 147 students to their Ph.D. degrees and supervised 29 postdoctoral research fellows. Dr. Kuo is a co-author of 275 journal papers, 920 conference papers and 14 books.