APSIPA U.S. Local Chapter will organize a panel discussion on “Future of Graph Signal Processing” at 6-7:30pm PDT, July 23, 2021
This panel brings together some of the world’s leading experts in Graph Signal Processing (GSP) to discuss the “Future of Graph Signal Processing”. The speakers have made key contributions in various GSP topics, ranging from graph learning, graph transforms and wavelets, graph sampling, statistical / non-linear GSP, graph neural nets, and more. The panel will discuss and debate on different future issues, including but not limited to, the role of academia, the trend and role of dynamic graphs, the impact of deep learning, and emerging areas.
Speakers:
Siheng Chen
Tenure-track Associate Professor
Shanghai Jiao Tong University & Shanghai Artificial Intelligence Laboratory, China
https://mediabrain.sjtu.edu.cn/sihengc/
Wei Hu
Assistant Professor, Wangxuan Institute of Computer Technology
Peking University, China
https://www.wict.pku.edu.cn/huwei/
Antonio Ortega
Professor, Department of Electrical Engineering
University of Southern California, U.S.A.
https://viterbi.usc.edu/directory/faculty/Ortega/Antonio
Santiago Segarra
M. Rice Trustee Assistant Professor, Department of Electrical and Computer Engineering
Rice University, U.S.A.
Yuichi Tanaka
Associate Professor
Tokyo University of Agriculture and Technology, Japan
Hoi To Wai
Assistant Professor, Department of Systems Engineering and Engineering Management
The Chinese University of Hong Kong, China
https://www1.se.cuhk.edu.hk/~htwai/
Moderator:
Gene Cheung
Associate Professor, Department of Electrical Engineering & Computer Science
York University, Canada
https://www.eecs.yorku.ca/~genec/index.html
Zoom meeting information:
Join Zoom Meeting
https://yorku.zoom.us/j/91031961258?pwd=bktHSnN2Q3dONEcvcG1PWTgvbkc4QT09
Meeting ID: 910 3196 1258
Passcode: 128168
