Hello! Welcome to my homepage! I am Yu Wang, a dedicated research scientist specializing in machine learning techniques. I recently moved to San Fransisco Bay Area and look forward to join to local academia. I previously was a senior research fellow at Tsinghua University working with Prof. Lu Fang. My research interests include machine learning theories (and their application on computer vision tasks), generalization theories, generative modeling, self-supervised learning, Bayesian inference, sparse coding, and broader statistical machine learning problems.

I also worked as a senior research scientist at JD AI research working with Prof. Tao Mei with a focus on machine learning with limited labeling. Before joining JD, I was a postdoc research associate 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 )


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