Hello! Welcome to my homepage! I am Yu Wang, currently a senior research scientist at (JD AI Research). My research interests include machine learning theories (and their application on computer vision tasks), feature generalization theories, generative modeling, statistical machine learning, self-supervised learning, Bayesian inference, and sparse coding approaches.

Before joining, I was a postdoc researcher at The Department of Pure Mathematics and Mathematical Statistics (DPMMS) of University of Cambridge, UK, co-supervised by Prof. John Aston and Prof. Carola-Bibiane Schönlieb in 2016-2018. Before my postdoc training, I obtained my PhD degree in Computer Science from the Computer Science Department at the University of Cambridge UK in 2016. My PhD study was co-supervised by Dr. Ian Wassell and Dr. David Wipf (David is my internship mentor at Microsoft Research Asia).


( * indicate joint first authors with equal contributions )

  • Out-of-Distribution Detection via Conditional Kernel Independence Model
    Yu Wang*, Jingjing Zou*, Jingyang Lin, Qing Ling, Yingwei Pan, Ting Yao, Tao Mei
    NeurIPS 2022
  • SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement
    Zhaofan Qiu, Yehao Li,  Yu Wang, Yingwei Pan, Ting Yao, Tao Mei
    ECCV 2022


1st Place at CVPR 2021 Open World Vision Grand Challenge

University of Cambridge Overseas Trust PhD Scholarship

University of Cambridge Girton College Travel Award

“Star of Tomorrow Internship Excellence Award”, Microsoft Research Asia