Yu-Gang Jiang

Professor
School of Computer Science
Fudan University
Shanghai

ygj AT fudan.edu.cn
 


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. He is the lead architect of a few best-performing video analytic systems in worldwide competitions such as the annual U.S. NIST TRECVID evaluation. His visual concept detector library (VIREO-374) and video datasets (e.g., CCV, FCVID and THUMOS) are widely used resources in the research community. 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 young 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 holds a PhD in Computer Science from City University of Hong Kong and spent three years working at Columbia University before joining Fudan in 2011.



© Yu-Gang Jiang