IEEE BigMM Keynote Speakers


Chang Wen Chen
Chang Wen Chen
Professor, State University of New York at Buffalo, USA
Keynote Talk Title: Delivering Big Social Media Data to Mobile Devices: A Visual Representation Approach
Time: TBD

Abstract:

This talk addresses several important technical issues in generating graphical representation from heterogeneous unstructured big social multimedia data for delivering to and rendering on consumer mobile devices. We will first present several pressing technical challenges associated with creating a mobile browsing system that can summarize information overloading unstructured big social media data and produce a novel GIST, namely, Graphical Intelligent Semantic Transform, for effective and visually pleasing rendering on a mobile device by the personalized social media users. We will then illustrate possible solutions to solving a suite of interdisciplinary problems associated with developing such a system. Preliminary results will be shown to demonstrate the feasibility of creating such a GIST for graphical rendering of information overloading social media feeds on individual consumer mobile devices.

Biography:

Chang Wen Chen is an Empire Innovation Professor of Computer Science and Engineering at the University at Buffalo, State University of New York since 2008. He has been Allen Henry Endow Chair Professor at the Florida Institute of Technology from July 2003 to December 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 been the Editor-in-Chief for IEEE Trans. Multimedia since January 2014. He has also served as the Editor-in-Chief for IEEE Trans. Circuits and Systems for Video Technology from 2006 to 2009. He has been an Editor for several other major IEEE Transactions and Journals, including the Proceedings of IEEE, IEEE Journal of Selected Areas in Communications, and IEEE Journal of Journal on Emerging and Selected Topics in Circuits and Systems. He has served as Conference Chair for several major IEEE, ACM and SPIE conferences related to multimedia video communications and signal processing. His research is supported by NSF, DARPA, Air Force, NASA, Whitaker Foundation, Microsoft, Intel, Kodak, Huawei, and Technicolor.

He received his BS from University of Science and Technology of China in 1983, MSEE from University of Southern California in 1986, and Ph.D. from University of Illinois at Urbana-Champaign in 1992. He and his students have received eight (8) Best Paper Awards or Best Student Paper Awards over the past two decades. He has also received several research and professional achievement awards, including the Sigma Xi Excellence in Graduate Research Mentoring Award in 2003, Alexander von Humboldt Research Award in 2009, and the University at Buffalo Exceptional Scholar - Sustained Achievement Award in 2012, and the State University of New York System Chancellor's Award for Excellence in Scholarship and Creative Activities in 2016. He is an IEEE Fellow since 2004 and an SPIE Fellow since 2007.


Wen Gao
Wen Gao
Professor, Peking University, China
Keynote Talk Title: TBD
Time: TBD

Abstract:
TBD
Biography:

Wen Gao received his Ph.D. degree in electronics engineering from the University of Tokyo in 1991. He is a professor of computer science at the Peking University since 2006. He joined with the Harbin Institute of Technology from 1991 to 1995, as professor, department head of computer science. He was with Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS) from 1996 to 2005. During his career in CAS, he served as the managing director of ICT from 1998 to 1999, the executive vice president of Graduate School of CAS from 2000 to 2004, the vice president of University of Science and Technology China from 2000 to 2003. Dr. Gao is working at the areas of video coding, video processing, computer vision, and multimedia. He is a Member of Chinese Academy of Engineering, a Fellow of IEEE, and a Fellow of ACM.


Wenjun Zeng
Wenjun Zeng
Principal Research Manager, Microsoft Research Asia
Keynote Talk Title: How Deep Learning Changed the Landscape of Visual Understanding
Time: TBD

Abstract:
Deep neural networks (DNNs) have fundamentally changed the landscape of speech recognition and image/video understanding in recent years, enabled by the advances of big data, big computing, and innovations in deep architectures and learning methods. In this talk, I will discuss the key ideas and the cutting edge advances in deep learning technologies in the quest for visual intelligences. I will particularly focus on the latest work (classification, object detection/tracking, semantic segmentation, human pose estimation, action recognition/detection, captioning, etc.) developed for both image and video understanding, and discuss open issues. I will also shed some light on the go-to-market aspect of this exciting field.
Biography:

Wenjun (Kevin) Zeng is a Principal Research Manager overseeing the Internet Media Group and the Media Computing Group at Microsoft Research Asia. He has been leading the video analytics research powering the Microsoft Cognitive Services and Azure Media Analytics Services since 2014. He was with Univ. of Missouri (MU) from 2003 to 2016, most recently as a Full Professor. He had worked for PacketVideo Corp., Sharp Labs of America, Bell Labs, and Panasonic Technology prior to joining MU in 2003. Wenjun has contributed significantly to the development of international standards (ISO MPEG, JPEG2000, and OMA). He received his B.E., M.S., and Ph.D. degrees from Tsinghua Univ., the Univ. of Notre Dame, and Princeton Univ., respectively. His current research interest includes mobile-cloud media computing, computer vision, social network/media analysis, multimedia communications, and content/network security.

He is an Associate Editor-in-Chief of IEEE Multimedia Magazine, and was an AE of IEEE Trans. on Circuits&Systems for Video Technology (TCSVT), IEEE Trans. on Info. Forensics&Security, and IEEE Trans. on Multimedia (TMM). He is/was on the Steering Committee of IEEE Trans. on Mobile Computing (current) and IEEE TMM (2009-2012). He served as the Steering Committee Chair of IEEE ICME in 2010 and 2011, and has served as the TPC Chair of several IEEE conferences (e.g., ChinaSIP'15, WIFS'13, ICME'09, CCNC'07). He will be a general co-Chair of ICME2018. He is currently guest editing an IEEE Communications Magazine Special Issue on Impact of Next-Generation Mobile Technologies on IoT-Cloud Convergence and a TCSVT Special Issue on Visual Computing in the Cloud - Mobile Computing, and was a Special Issue Guest Editor for the Proceedings of the IEEE, IEEE TMM, and ACM TOMCCAP. He is a Fellow of the IEEE.