News

• [January 2023] I will be joining The D. E. Shaw Group as a Quantitative Analyst intern in Summer 2023.
• [January 2023] Our paper "Understanding Why Generalized Reweighting Does Not Improve Over ERM" has been accepted to ICLR 2023. arXiv
• [December 2022] I am joining TTIC as a postdoctral researcher, working with Prof. Avrim Blum.
• [November 2022] Our paper "Fundamental Limits and Tradeoffs in Invariant Representation Learning" has been accepted to JMLR 2022. arXiv
• [September 2021] Our Paper Boosted CVaR Classification has been accepted to NeurIPS 2021. arXiv
• [May 2021] Our Paper DORO: Distributional and Outlier Robust Optimization has been accepted to ICML 2021. arXiv
• [February 2021] I TA'ed for Practical Data Science in the spring 2021 semester (Instructor: Zico Kolter).
• [January 2021] Our paper Learning Complexity of Simulated Annealing has been accepted by AISTATS 2021. arXiv
• [May 2020] Our paper Optimal Statistical Guarantees for Adversarially Robust Gaussian Classification has been accepted by ICML 2020.arXiv
• [May 2020] Our paper Class-Weighted Classification: Trade-offs and Robust Approaches has been accepted by ICML 2020. arXiv
• [January 2020] Our paper Learning Sparse Nonparametric DAGs has been accepted by AISTATS 2020. arXiv
• [December 2019] Our paper MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius has been accepted by ICLR 2020. OpenReview
• [September 2019] Our paper Optimal Analysis of Subset-Selection Based L_p Low Rank Approximation has been accepted by NeurIPS 2019. arXiv, Poster
• [August 2019] I TA'ed for 10-725 Convex Optimization (Instructor: Ryan Tibshirani) in Fall 2019.
• [July 2019] Our paper Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering has been accepted by Annals of Statistics 2019. arXiv
• [June 2019] Our paper Bilu-Linial Stability, Certified Algorithms and the Independent Set Problem has been accepted by ESA 2019. arXiv
• [September 2018] Our paper The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models has been accepted by NeurIPS 2018. arXiv,Poster
• [June 2018] Our paper Low Rank Approximation of Binary Matrices: Column Subset Selection and Generalizations has been accepted by MFCS 2018. arXiv
• [May 2018] I was a visiting student at Toyota Technological Institute at Chicago in summer 2018, hosted by Prof. Avrim Blum.
• [September 2016] I started my PhD at Computer Science Department, Carnegie Mellon University.
• [July 2016] I got my B.Sc from School of EECS, Peking University.
• [June 2016] I received Top-10 Undergraduate Thesis Award in School of EECS, Peking University. Thesis (Chinese), arXiv (English).