Multiple papers accepted by top conferences and journals such as NeurIPS 2025, ICLR 2025, ICML 2025, CVPR 2025, TPAMI; Invited to serve as an Area Chair for ICLR 2026 and NeurIPS 2025; Released several open-source projects including MiniMax-01, ActGen, LocalMamba, EfficientVMamba, etc.
Research Experience
Assistant Professor at the John Hopcroft Center for Computer Science, School of Computer Science, Shanghai Jiao Tong University since 2025; Researcher at SenseTime from 2023 to 2025.
Education
Tenure-track assistant professor at the John Hopcroft Center for Computer Science, School of Computer Science, Shanghai Jiao Tong University since 2025. Received a Ph.D. in Computer Science from The University of Sydney, advised by Prof. Chang Xu. Prior to that, obtained a Bachelor's degree from Huazhong University of Science and Technology and worked as a Researcher at SenseTime for two years.
Background
Research Interests: efficient deep learning algorithms and their applications in computer vision tasks, including efficient architectures, efficient training, efficient data, efficient inference, and efficient large models.
Miscellany
Welcomes students to join his team for research related to deep learning, especially in the areas of large models and embodied AI.