Keynote Speakers
Prof. Cheng-Lin Liu
IEEE/CAA/CAAI/IAPR Fellow
Institute of Automation of Chinese Academy of Sciences, China & University of Chinese Academy of Sciences, China
Cheng-Lin Liu is a Professor at the State Key Laboratory of
Multimodal Artificial Intelligence Systems, Institute of
Automation of Chinese Academy of Sciences. He is a vice
president of the Institute of Automation, a vice dean of the
School of Artificial Intelligence, University of Chinese
Academy of Sciences. He received the PhD degree in pattern
recognition and intelligent control from the Chinese Academy
of Sciences, Beijing, China, in 1995. He was a postdoctoral
fellow in Korea and Japan from March 1996 to March 1999.
From 1999 to 2004, he was a researcher at the Central
Research Laboratory, Hitachi, Ltd., Tokyo, Japan. His
research interests include pattern recognition, machine
learning and document image analysis. He has published over
400 technical papers in journals and conferences. He is an
Associate Editor-in-Chief of Pattern Recognition Journal and
Acta Automatica Sinica, an Associate Editor of International
Journal on Document Analysis and Recognition, Cognitive
Computation, IEEE/CAA Journal of Automatica Sinica, Machine
Intelligence Research, CAAI Trans. Intelligence Technology,
CAAI Artificial Intelligence Research and Chinese Journal of
Image and Graphics. He is a Fellow of the CAA, CAAI, the
IAPR and the IEEE.
Prof. Chang Wen Chen
IEEE/SPIE Fellow/Member
of the Academia Europaea
The Hong Kong Polytechnic University, Hong Kong, China
Chang Wen Chen received his BS from the University of
Science and Technology of China in 1983, MSEE from the
University of Southern California in 1986, and Ph.D. from
the University of Illinois at Urbana-Champaign in 1992. He
is currently Chair Professor of Visual Computing at The Hong
Kong Polytechnic University. Before his current position, he
served as Dean of the School of Science and Engineering at
The Chinese University of Hong Kong, Shenzhen from 2017 to
2020. He also served as an Empire Innovation Professor at
the University at Buffalo, the State University of New York
from 2008 to 2021. He was Allen Henry Endow Chair Professor
at the Florida Institute of Technology from 2003 to 2007. He
was on the faculty of Electrical and Computer Engineering at
the University of Rochester from 1992 to 1996 and on the
faculty of Electrical and Computer Engineering at the
University of Missouri-Columbia from 1996 to 2003.
He has served as the Editor-in-Chief for IEEE Trans.
Multimedia from January 2014 to December 2016, and the
Editor-in-Chief for IEEE Trans. Circuits and Systems for
Video Technology from January 2006 to December 2009. He has
been an Editor for several other major IEEE Transactions and
Journals, including the Proceedings of IEEE, IEEE Journal of
Selected Topics in Signal Processing, IEEE Journal of
Selected Areas in Communications, and IEEE Journal of
Emerging and Selected Topics in Circuits and Systems. He has
chaired several major IEEE, ACM, and SPIE conferences that
are related to multimedia communications and signal
processing.
He and his students have received 10 Best Paper Awards or
Best Student Paper Awards. He has also received several
research and professional achievement awards. These include
the Sigma Xi Excellence in Graduate Research Mentoring Award
in 2003, the Alexander von Humboldt Research Award in 2010,
the University at Buffalo Exceptional Scholar – Sustained
Achievement Award in 2012, the SUNY System Chancellor’s
Award for Excellence in Scholarship and Creative Activities
in 2016, and the University of Illinois ECE Distinguished
Alumni Award in 2019.
His research interests include multimedia communication,
multimedia systems, Internet of Video Things (IoVT),
image/video processing, computer vision, deep learning,
multimedia signal processing, and immersive mobile video. He
is an IEEE Fellow (2005), a SPIE Fellow (2007), and a member
of the Academia Europaea (2021).
Prof. Xiaochun Cao
Dean of
School of Cyber Science and Technology
Sun Yat-sen University, China
Xiaochun Cao is a Professor of School of
Cyber Science and Technology, Shenzhen Campus, Sun Yat-sen
University. He received the B.E. and M.E. degrees both in
computer science from Beihang University (BUAA), China, and
the Ph.D. degree in computer science from the University of
Central Florida, USA, with his dissertation nominated for
the university level Outstanding Dissertation Award. After
graduation, he spent about three years at ObjectVideo Inc.
as a Research Scientist. From 2008 to 2012, he was a
professor at Tianjin University. Before joining SYSU, he was
a professor at Institute of Information Engineering, Chinese
Academy of Sciences. He has authored and coauthored over 200
journal and conference papers. In 2004 and 2010, he was the
recipients of the Piero Zamperoni best student paper award
at the International Conference on Pattern Recognition. He
is on the editorial boards of IEEE Transactions on Image
Processing and IEEE Transactions on Multimedia, and was on
the editorial board of IEEE Transactions on Circuits and
Systems for Video Technology.
Prof. Cathal Gurrin
Dublin City University, Ireland
Cathal Gurrin is the head of ADAPT at DCU and the Deputy Head of the School of Computing at DCU. Gurrin’s research focuses using deep user profiles to develop assistive technologies using wearable sensors and data analytics. The highly interdisciplinary approach advanced by his group, “lifelogging”, integrates computer science, cognitive science and data-driven healthcare analytics to generate next-generation digital records of the individual. He maintains an extensive international collaboration network and co-organises the QS meetup in Dublin. He is the founder and co-organiser of the Lifelog Search Challenge at ICMR, the NTCIR-Lifelog participation workshop and the ImageCLEF lifelog task. Finally he has been the general chair of many high-ranking computer science conferences and holds position on numerous editorial boards and conference steering committees.