Contributor

Feng Zhao (Member, IEEE) received the B.Eng. degree in electronic engineering from the University of Science and Technology of China (USTC), Hefei, China, in 2000, and the M.Phil. and Ph.D. degrees in computer vision from The Chinese University of Hong Kong, Hong Kong, in 2002 and 2006, respectively. From 2006 to 2018, he was a Post-Doctoral Fellow, Research Fellow, and permanent Senior Lecturer in Hong Kong, Singapore, and the United Kingdom. Since 2019, he has been a Professor and a Ph.D. Advisor with USTC. His research interests include foundation model, machine learning, computer vision, and image processing. He has authored or coauthored more than 140 papers in referred international journals and conferences, including IEEE Transactions (e.g., TPAMI, TIP), Pattern Recognition, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, IJCAI, AAAI, ACM MM, EMNLP, and ACL. Prof. Zhao was the recipients of the Best Paper Award in ICIDM 2018 and the Outstanding Paper Award in ACL 2024, the Champion of IJCAI-PRICAI 2020 3D AI Challenge, the Runner-up of CVPR 2021 Streaming Perception Challenge, and the Champions of ICCV 2023 Continual Test-time Adaptation for Semantic Segmentation Challenge and Multitask Learning for Robustness Challenge. He was the Program Committee Chairs of the International Conference on AI-Generated Content (AIGC) 2023 and 2024, and the Area Chairs of ACM MM 2023- 2025.