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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. 


Siheng Chen

Tenure-track Associate Professor

Shanghai Jiao Tong University & Shanghai Artificial Intelligence Laboratory, China

Wei Hu

Assistant Professor, Wangxuan Institute of Computer Technology

Peking University, China

Antonio Ortega

Professor, Department of Electrical Engineering

University of Southern California, U.S.A.

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


Gene Cheung

Associate Professor, Department of Electrical Engineering & Computer Science

York University, Canada

Zoom meeting information:

Join Zoom Meeting

Meeting ID: 910 3196 1258

Passcode: 128168