Yu-Gang Jiang is Professor of Computer Science at Fudan University, China, where he currently serves as the Dean of School of Computer Science and School of Software.
His research is focused on multimedia, computer vision, and robust & trustworthy AI.
As the director of Shanghai Engineering Research Center for Video Technology and System, he leads a group of faculties and students conducting research on all aspects of big video data analytics, such as video content recognition, video forensics, and large-scale visual search.
He is the lead architect of a few best-performing video recognition systems in worldwide competitions such as the annual U.S. NIST TRECVID evaluation.
Recent works in his group have demonstrated top results in various competitions like the YouTube-8M Video Understanding Challenge.
His work has led to many awards, including the inaugural 2014 ACM China Rising Star Award, the 2015 ACM SIGMM Rising Star Award, and the research award for outstanding young researchers from NSF China.
He is currently an associate editor of ACM TOMM. 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.