About me

I am a fourth year Ph.D. student in the Department of Statistics at the University of Washington. I am fortunate to be advised by Zaid Harchaoui and Soumik Pal. Prior to that, I received my B.S. in mathematics and applied mathematics at Tsinghua University.

I am broadly interested in safe and interpretable machine learning with applications in natural language processing. I am also excited about optimal transport and its applications in statistics and machine learning.

Contact me at liu16 [at] uw [dot] edu.


News

  • 09/28/2021: Our paper on statistical analysis of divergence frontiers has been accepted at NeurIPS 2021.
  • 08/08/2021: Presentation at JSM 2021 on Schrödinger bridges and entropic optimal transport.
  • 06/22/2021: Presentation at BIRS workshop on Schrödinger bridges and entropic optimal transport.
  • 06/15/2021: A new preprint on statistical analysis of divergence frontiers.
  • 06/06/2021: Presentation at ICASSP 2021 on score-based change detection.
  • 06/03/2021: Presentation at SDSS 2021 on score-based change detection.
  • 11/23/2020: Talk at UW Probability Seminar on Schrödinger bridges and entropic optimal transport.
  • 11/17/2020: A new preprint on large-sample theory of Schrödinger bridges and entropic optimal transport.