News

  • [May 2020] Our paper Optimal Statistical Guarantees for Adversarially Robust Gaussian Classification has been accepted by ICML 2020.
  • [May 2020] Our paper Class-Weighted Classification: Trade-offs and Robust Approaches has been accepted by ICML 2020. arXiv 2005.12914
  • [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).