Yu-Gang Jiang is Professor of Computer Science and 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 lab have produced top video content recognition accuracies in various competitions like the YouTube-8M Video Understanding Challenge. 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 the inaugural ACM China Rising Star Award, the 2015 ACM SIGMM Rising Star Award, and the research award for outstanding researchers from NSF China. He was also selected into China's National Ten-Thousand Talents Program and the Chang Jiang Scholars Program of China Ministry of Education.

    He is currently an associate editor of ACM TOMM, Machine Vision and Applications (MVA) and Neurocomputing. 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 also 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, Intel Labs China and Tencent AI Lab.