Dr. Yu Wang

Bio

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).