September 24th (Sat.) - September 26th (Sun.), 2021 / Shanghai, China

Conference Information

Conference Date



2021-ICICSP Keynote Speakers



Prof. Xiaotie Deng, ACM/IEEE Fellow

Peking University, China


Xiaotie Deng got his BSc from Tsinghua University, MSc from Chinese Academy of Sciences, and PhD from Stanford University in 1989.

He is currently a chair professor at Peking University. He taught in the past at Shanghai Jiaotong University, University of Liverpool, City University of Hong Kong, and York University. Before that, he was an NSERC international fellow at Simon Fraser University. Deng's current research focuses on algorithmic game theory, with applications to Internet Economics and Finance including sponsored search auction, p2p network’s economics such as BitTorrent network, sharing economics, and blockchain. His other works cover online algorithms, parallel algorithms, and combinatorial optimization. 

He is an ACM fellow for his contribution to the interface of algorithms and game theory, and an IEEE Fellow for his contributions to computing in partial information and interactive environments.



Prof. Jingdong Chen, IEEE Fellow

Northwestern Polytechnical University, China


Title of the talk: Acoustic and Speech Signal Acquisition and Processing in Cocktail-party Environments


Jingdong Chen is currently a professor at the Northwestern Polytechnical University (NPU) in Xi'an, China. Before joining NPU in 2011, he served as the Chief Scientist of WeVoice Inc. in New Jersey for one year. Prior to this position, he was with Bell Labs in New Jersey for nine years. Before joining Bell Labs, he held positions at the Griffith University in Brisbane, Australia and the Advanced Telecommunications Research Institute International (ATR) in Kyoto, Japan.

Dr. Chen has long been working on the problems of speech communication, speech enhancement, noise reduction, echo cancellation, microphone array processing, and speech and acoustic event recognition. The technologies developed by him have been used in a wide range of applications such as smart speakers, in-car communication systems, smart televisions, robots, teleconferencing systems, to name but a few. He has authored/co-authored 14 monograph books and published over 250 papers in peer reviewed journals and conferences. He also hold more than 40 patents.

Dr. Chen has been serving in various capacities in the global research community. He served as an Associate Editor of the IEEE Transactions on Audio, Speech, and Language Processing from 2008 to 2014 and as a technical committee (TC) member of the IEEE Signal Processing Society (SPS) TC on Audio and Electroacoustics from 2007 to 2009. He is currently serving as the Chair of IEEE Xi'an Section and a member of the IEEE SPS TC on Audio and Acoustic Signal Processing. He was the General Co-Chair of ACM WUWNET 2018 and IWAENC 2016, the Technical Program Chair of IEEE TENCON 2013, a Technical Program Co-Chair of IEEE WASPAA 2009, IEEE ChinaSIP 2014, and IEEE ICSPCC 2015, and helped organize many other conferences.

Dr. Chen received the 2008 Best Paper Award from the IEEE Signal Processing Society, the Best Paper Award from the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics in 2011, the Bell Labs Role Model Teamwork Award twice, respectively, in 2009 and 2007, the NASA Tech Brief Award twice, respectively, in 2010 and 2009, and the Young Author Best Paper Award from the 5th National Conference on Man-Machine Speech Communications in 1998. He is a co-author of a paper for which C. Pan received the IEEE R10 (Asia-Pacific Region) Distinguished Student Paper Award (First Prize) in 2016. He was also a recipient of the Japan Trust International Research Grant from the Japan Key Technology Center in 1998 and the “Distinguished Young Scientists Fund” from the National Natural Science Foundation of China (NSFC) in 2014.



Prof. Tom Hou, IEEE Fellow

Virginia Polytechnic Institute, USA


Tom Hou is Bradley Distinguished Professor of Electrical and Computer Engineering at Virginia Tech, Blacksburg, VA. He received his B.E. degree from the City College of New York in June 1991, M.S. degree from Columbia University in New York City in May 1993, and Ph.D. degree from New York University (NYU) Tandon School of Engineering in January 1998. From 1997 to 2002, he was a Researcher at Fujitsu Laboratories of America, Sunnyvale, CA.

He has published extensively in IEEE and ACM transactions/journals and top-tier IEEE/ACM conferences. He received eight best paper awards from IEEE and ACM, including IEEE INFOCOM 2008 Best Paper Award. He also holds five U.S patents. Prof. Hou is a co-editor of a graduate textbook entitled Cognitive Radio Communications and Networks: Principles and Practices (Academic Press/Elsevier, 2010). This book was listed as one of the Best Readings on Cognitive Radio by IEEE Communications Society.

His second graduate textbook was entitled Applied Optimization Methods for Wireless Networks (Cambridge University Press in May 2014). This book was the first of its kind in terms of offering a comprehensive toolbox to solve complex optimization problems in wireless networks. He was named an IEEE Fellow in 2014 for "contributions to modeling and optimization of wireless networks" and was presented with the Virginia Tech College of Engineering Dean's Award for Research Excellence in 2013.

Prof. Hou has made substantial contributions to his professional society and research community. He was Steering Committee Chair of the IEEE INFOCOM conference (2013-2019), the highest ranked conference on computer networking per Google Scholar. He was an elected member of the IEEE Communications Society Board of Governors (2016-2018). He is/was on the editorial boards of 12 journals and guest edited 7 journal special issues. He was Chair of IEEE Communications Society GLOBECOM/ICC Technical Committee (GITC) during 2016–2017. He co-chaired NSF Enhancing Access for Radio Spectrum (EARS) Program Principal Investigate (PI) Meeting in 2016. He was presented with Virginia Tech College of Engineering Dean's Award for Excellence in Service in 2017.