Tao Huang
Scholar

Tao Huang

Google Scholar ID: jkcRdBgAAAAJ
Shanghai Jiao Tong University
Efficient Machine LearningComputer Vision
Citations & Impact
All-time
Citations
2,021
 
H-index
17
 
i10-index
22
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • 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.
Co-authors
0 total
Co-authors: 0 (list not available)