I am a post-doc researcher at Stanford University, hosted
Moses Charikar. The goal of my research is to
develop generic tools for
building stronger Artificial Intelligences. I
am interested in convex and non-convex optimization, deep
learning, distributed algorithms, statistical learning
theory, crowdsourcing, etc. Prior to Stanford, I got Ph.D.
in computer science from UC Berkeley, where I was very
fortunate to be advised by
Wainwright. I got M.A. in statistics from
Berkeley, and got B.E. in computer science from
As a part-time intern, I have been working with the machine learning group of MSRA on click modeling for web search and online advertising. I also worked with Vanja Josifovski at Google on recommender systems, with Lin Xiao at Microsoft Research on optimization algorithms, and with the web search team of Baidu on burst detection.
Address: Gates 254 Email: zhangyuc (at) cs.stanford.edu [Google Scholar]