Shan You
Shan You is a Research Director at SenseTime Research, where he focuses on fundamental algorithms for machine learning and computer vision. He received his Ph.D. from Peking University in 2019, advised by Professor Chao Xu, and completed a postdoctoral fellowship at Tsinghua University under Professor Changshui Zhang. He is best known for his work on efficient machine learning — including knowledge distillation, neural architecture search, and representation learning — with publications at NeurIPS, ICLR, ICCV, and ECCV, and has a longstanding co-authorship with Chang Xu spanning at least 2017 through 2023.
“Shan You — Second named author. Co-leads the Kairos team alongside Fei Wang.”
Source→“This paper solves one of the most pressing deployment problems in physical AI: VLA models fail at exactly the wrong moments — complex, ambiguous situations — and this framework cuts those failures in half without requiring retraining or sacrificing real-time control speeds.”
Source→“The combination of Chang Xu and Shan You suggests affiliation with a major Chinese AI lab or university. Their focus on plug-and-play inference augmentation without base model modification is a pragmatic, deployment-oriented research direction.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.