Yu-Gang Jiang

Professor
School of Computer Science
Fudan University
Shanghai

ygj AT fudan.edu.cn
 


Yu-Gang Jiang is a Professor in School of Computer Science and Vice Director of Shanghai Engineering Research Center for Video Technology and System at Fudan University, China. His Lab for Big Video Data Analytics conducts research on all aspects of extracting high-level information from big video data, such as video event recognition, object/scene recognition and large-scale visual search. Recent works are broadly sponsored by both government agencies and industrial companies.

Dr. Jiang is an active participant of several international benchmark evaluations. At the U.S. NIST TREC video retrieval evaluation, systems designed by him achieved top performance in 2008 video concept detection task and 2010 multimedia event detection task. Recent techniques developed in his group have produced top video content recognition accuracies in various challenges like TRECVID and MediaEval. He was also the main developer of VIREO-374 and CU-VIREO374, two large sets of visual concept classifiers that are popularly used worldwide. His work has led to many awards, including "emerging leader in multimedia" award from IBM T.J. Watson Research in 2009, early career faculty award from Intel and China Computer Federation (CCF), the inaugural ACM China Rising Star Award, the 2015 ACM SIGMM Rising Star Award, and the research award for outstanding young researchers from NSF China. For his contributions to both basic research and real application systems, he also received science and technology achievement awards from key national agencies such as China Ministry of Education.

He is currently an associate editor of Machine Vision and Applications (MVA) and has served as a guest editor for several journals. He is on the program committee of many major conferences and was a program chair of ACM ICMR 2015 and the THUMOS action recognition challenge at ICCV 2013, ECCV 2014 and CVPR 2015. He was one of the organizers of the annual European MediaEval evaluations during 2013-2014.

He completed a PhD in Computer Science at City University of Hong Kong, advised by Prof. Chong-Wah Ngo. Prior to joining Fudan, he spent three years working at Columbia University, New York, advised by Prof. Shih-Fu Chang. He also had short-term visiting positions at the University of Amsterdam, Microsoft Research Asia and Intel Labs.


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