I am a 4th year Ph.D. student at Computer Science Department, Carnegie Mellon University, advised by Prof. Pradeep Ravikumar (previously, also co-advised by Prof. Avrim Blum). Prior to this, I received B.Sc from Department of Machine Intelligence, School of EECS, Peking University, where I worked with Prof. Liwei Wang. My research interest is in the theoretical aspect of machine learning and algorithm design.
My CV can be found here (last update: January 2020). I am looking for research internships in summer 2020.
[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
[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
[June 2018] Our paper Low Rank Approximation of Binary Matrices: Column Subset Selection and Generalizations has been accepted by MFCS 2018. arXiv
[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.