Keynote Speakers

Z. Jane Wang

Z. Jane Wang

Electrical & Computer Engineering Dept.
University of British Columbia (UBC), Vancouver, Canada

Exploring Interpretability of Deep Convolutional Neural Networks in Image Analysis

On Monday, 26 September at 10:00-11:00 UTC+8


Z. Jane Wang received the B.Sc. degree from Tsinghua University in 1996 and the M.Sc. and Ph.D. degrees from the University of Connecticut in 2000 and 2002, respectively, all in electrical engineering. She has been Research Associate at the University of Maryland, College Park from 2002 to 2004. Since 2004, she has been with the ECE dept. at the University of British Columbia (UBC), Canada, and she is currently Professor. She is an IEEE Fellow, a Fellow of the Canadian Academy of Engineering (FCAE), and a member of the College of New Scholars, Artists and Scientists of the Royal Society of Canada. Her research interests are in the broad areas of statistical signal processing and machine learning, with current focuses on digital media security and biomedical data analytics. She has been key Organizing Committee Member for numerous IEEE conferences and workshops (e.g., co-Technical Chair for ChinaSIP2014, GlobalSIP2017 and ICIP2021, and co-General Chair of MMSP2018 and DSLW2021). She has been Associate Editor for the IEEE TSP, SPL, TMM, TIFS, TBME, and SPM. She is currently serving as Editor-in-Chief for the IEEE Signal Processing letters.


Jiebo Luo

Professor of Computer Science
Professor of Electrical and Computer Engineering
PhD, University of Rochester

How to Be A Responsible Reviewer

On Tuesday, 27 September at 10:00-11:00 UTC+8


Jiebo Luo joined the University of Rochester in 2011 after a prolific career of 15 years at Kodak Research. His research spans computer vision, machine learning, data mining, social media, and biomedical informatics. He has authored more than 400 technical papers and more than 90 U.S. patents. He has served as the program chair of ACM Multimedia 2010, IEEE CVPR 2012, ACM  ICMR 2016 and IEEE ICIP 2017, as well as on the editorial boards of several IEEE Transactions journals and publications. He will serve as the Editor in Chief of the IEEE Transactions on Multimedia for a 3-year term (2020-2022). He is a Fellow of ACM, AAAI, IEEE, SPIE and IAPR.

Dr. Tao Mei

Dr. Tao Mei


Deep Space-Time Visual Representation Learning: Methodologies and Applications

On Wednesday, 28 September at 10:00-11:00 UTC+8


Tao Mei is a Vice President with JD.COM and the Deputy Managing Director of JD Explore Academy. His team is focusing on the research, development, and innovation of computer vision and multimedia technologies. He has authored or co-authored over 300 publications (with 15 paper awards) in journals and conferences, and holds over 50 patents. Dr. Mei was elected an International Fellow of the Canadian Academy of Engineering, a Fellow of IEEE, a Fellow of IAPR, and a Distinguished Scientist of ACM, for his contributions to large-scale multimedia analysis and applications. Prior to joining JD.COM in 2018, he was a Senior Research Manager with Microsoft Research Asia.

Invited Talk


Prof. Zhenxing Qian

Professor, School of Computer Science,
Fudan University, Professor/Ph.D.

Applications of Information Hiding

On Mondy, 26 September at 13:00-13:30 UTC+8


Zhenxing Qian graduated from University of Science & Technology of China (USTC), where he received the B.S. and Ph.D. degrees in 2003 and 2008, respectively. He is a Professor in the School of Computer Science, Fudan University, where he serves as the Vice Dean of the Key Lab of the China Culture & Tourism Ministry. His research interests include information hiding, multimedia security, and neural network security. Until now, he has published 170 peer-reviewed papers. Many of them are published IEEE TIFS, TMM, TDSC, TIP, TCSVT, TCYB, TCC, AAAI, IJCAI, ACM MM, etc. Besides, he is also an associate editor of “Signal Processing” & “Journal of Visual Communication and Image Representation”.


Mr. Jian Song

Co-founder and CTO of DeepScience technology Co.,LTD.

Automatic Generation Scheme of Digital Human Full-body Motion and Facial Expression in Different Application Scenarios

On Tuesday, 27 September at 13:00-13:30 UTC+8


Mr. Song received his bachelor’s degree from USTC and his master’s degree from Peking University.Mr. Song has an in-depth understanding and participation in a variety of technology fields and a unique understanding of a variety of IT technologies. In his career of more than 20 years, Mr. Song has founded a number of companies covering streaming media, software, hardware and other fields.