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个人简介
I am a post-doc researcher at Stanford University, hosted by Percy Liang and Moses Charikar. The goal of my research is to develop generic tools for building the next generation of artificial intelligence. 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 Michael Jordan and Martin Wainwright. I got a Master degree in statistics from Berkeley, and a Bachelor degree in computer science from Tsinghua University.
I enjoyed a number of wonderful internships over the years. I have been working at Microsoft Research Asia on modeling user clicks in 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.
研究兴趣
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ICML 2023pp.12108-12121, (2023)
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