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Resume (English only)
Academic Achievements
Multiple papers accepted by top-tier conferences such as ICLR 2019, NeurIPS 2019, IROS 2018, UAI 2018, ICML 2018, and AISTATS 2018.
Research Experience
Formerly an Assistant Professor at the University at Buffalo and a Research Assistant Professor and Postdoctoral Associate in the Department of Electrical and Computer Engineering at Duke University. Serves as an Area Chair for multiple AI conferences (ICML, NeurIPS, AAAI, IJCAI) and is an Action Editor for Transactions on Machine Learning Research.
Education
PhD from the College of Engineering and Computer Science, Australian National University in 2014; Master and Bachelor degrees from the School of Computer Science, Fudan University, Shanghai, China.
Background
An Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo, State University of New York. Research interests include general AI techniques, with a focus on multi-modal modeling and learning, self-supervised learning, large language models, generative models, and large-scale Bayesian sampling and inference.
Miscellany
Organized the 1st workshop on Foundation Models in Vision and Language; former students are now working at companies like Adobe, Meta, and Google.