Papers accepted at NeurIPS, Nature Biomedical Engineering, ICML, ACM Computing Surveys, ICLR, NAACL, and other top conferences and journals. Received the ACM SIGKDD 2025 Test of Time Award for a 2015 KDD paper.
Research Experience
Currently an Assistant Professor in the Department of Computer Science at Rutgers University, directing a Machine Learning Lab. Previously, a Postdoctoral Research Associate at MIT's Computer Science & Artificial Intelligence Lab, working with Prof. Dina Katabi and Prof. Tommi Jaakkola.
Education
Ph.D. from the CSE department at Hong Kong University of Science and Technology, supervised by Prof. Dit-Yan Yeung; B.S. from Shanghai Jiao Tong University, supervised by Prof. Wu-Jun Li. Visiting scholar at Carnegie Mellon University's Machine Learning department, working with Prof. Eric Xing.
Background
Research interest focuses on statistical machine learning, deep learning, and large language models (LLMs). Currently, mainly works on Bayesian deep learning, probabilistic methods, game-theoretic approaches, and their applications in trustworthy & safe AI (interpretability, robustness, alignment, etc.), healthcare, recommender systems, computer vision (including multimodal LLMs), natural language processing (including LLMs), network analysis, and data mining.
Miscellany
Microsoft Fellow and recipient of the Baidu Research Fellowship.