Educational Background：

• 2010，The Chinese University of Hong Kong，Department of Electronic Engineering,PhD degree

Work Experience：

• 2017-2020,the University of Sydney,Senior Lecturer

Wanli Ouyang received his PhD degree from the Department of Electronic Engineering, The Chinese University of Hong Kong. He is now a professor at Shanghai AI Lab and The Chinese University of Hong Kong. His research interests include pattern recognition, machine learning, and AI for Science. Before that, he was an associate professor at The University of Sydney. He led the team ranking first in the 2015 and 2016 ImageNet ILSVRC Challenge. He was awarded IEEE TCSVT best paper award. He served as the associate editor of TPAMI, IJCV and PR, the Lead Area Chair of ICCV 2025, and the Senior Area Chair of CVPR, ICCV and NeurIPS.