Yu-Gang Jiang is a Chang Jiang Scholar Distinguished Professor at School of Computer Science, Fudan University. His research is focused on multimedia, computer vision, and robust & trustworthy AI. As the director of Shanghai Collaborative Innovation Center on Intelligent Visual Computing and Fudan Vision and Learning (FVL) Laboratory, he leads a group of faculties and students conducting research on all aspects of robust & trustworthy visual analytics. His research outcomes have had major impacts on applications like mobile visual search/recognition and anomaly detection in critical areas such as high-speed railway transportation. His work has led to many awards, including the inaugural 2014 ACM China Rising Star Award, the 2015 ACM SIGMM Rising Star Award, and various awards from NSF China, MOE China, and Shanghai Government. 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. He served as the Dean of School of Computer Science during 2020-2022. He is an elected Fellow of IAPR.

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