Bio

Hello! Welcome to my homepage! I am Yu Wang, a dedicated research scientist specializing in machine learning techniques and theories. I recently moved to San Fransisco bay area and look forward to joining the local academia!

I obtained my PhD degree in Computer Science from 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), with a focus on variational Bayesian inference. I received my postdoc training at the Department of Pure Mathematics and Statistics (DPMMS) of University of Cambridge, UK, co-supervised by Prof. John Aston and Prof. Carola-Bibiane Schönlieb in 2016-2018.

After my postdoc, I respectively worked as a senior research scientist at JD AI research academy working with Prof. Tao Mei, and as a senior research fellow at Tsinghua University working with Prof. Lu Fang.

Research Interests

I love math and CS! My research interests include machine learning theories (and their application on computer vision tasks, language models), generalization theories, generative modeling, self-supervised learning, Bayesian inference, sparse coding, safety of foundation models, and broader statistical machine learning problems.

Publications

( * indicate joint first authors with equal contributions )

Awards

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

Hobbies

I love classical music and reading. My favorite music is Rachmaninov Piano Concerto No.2. I am a professional clarinetist, and I also had the honor to be invited to play concert at the “Temple of Music” in Vienna, Austria – Wiener Musikverein, Großer Saal (we were playing Beethoven Symphony No. 8, and Brahms Symphony No. 1.), when I was 16 years old. At the age of 14, I recorded my first clarinet album with a theme on Mozart and Weber. I also enjoy playing piano and saxophone for fun.