Bio

I am a fourth-year Ph.D. student at Department of Statistics, Columbia University and honored to have Professor Yang Feng and Professor Zhiliang Ying as my advisors. I was born in Huainan, which is a small city of China famous for its long history and the delicious tofu there. Prior to Columbia, I obtained my B.S. degree in statistics in 2019 at University of Science and Technology of China (USTC) and was honored to be supervised by Professor Weiping Zhang.

My research interests are mainly relative to statistical machine learning, including classification, high-dimensional statistics and variable selection. Specially, I am interested in understanding transfer learning problems from statistics perspective. Besides research, I love photography, travelling and reading (especially books about history).

My Google Scholar page

News


2022

  • Oct 8: I presented my recent paper Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models at AISC 2022.
  • Oct 1: I'm happy to receive the student travel award provided by ICSDS 2022. I will present my recent paper Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models on Dec 16, 2022 in Florence, Italy.
  • Jul 5: I'm currently teaching [S1201: Calculus-based Introduction to Statistics] at Columbia. All materials can be found at the course website.

  • 2021

  • Nov 8: My new work on Neyman-Pearson multi-class classification with Yang has been posted on arXiv.
  • May 3: I'll help run the student seminar with Arnab at Columbia stats department during 2021-2022 acedamic year.
  • May 1: Our new package "glmtrans" has been launched on CRAN. The related paper is coming!
  • Mar 22: I am happy to present my work with Yang, Random Subspace Ensemble Classification (RaSE), at 2021 Minghui Conference held by Columbia stats department.
  • Mar 13: I will give a poster presentation about my recent work with Yang, Random Subspace Ensemble Classification (RaSE), at 2021 WISC Graduate Research Symposium on Mar 26 (online). The poster can be found here: [poster PDF]. (postponed to April 2)
  • Service

    I have reviewed papers for Technometrics, Bernoulli, ICLR 2023, Statistical Papers, Journal of the American Statistical Association, Journal of Machine Learning Research, Statistics and Computing, Neural Networks and FODS 2020.

    Contact

    Email: ye.t@columbia.edu

    Address: Room 906, School of Social Work Building, 1255 Amsterdam Ave, New York, NY 10027