Puheng Li (李朴恒)

Puheng Li (李朴恒)

Ph.D. Student

Stanford

Biography

Hello and welcome to my homepage! I'm a first-year PhD student in the Department of Statistics at Stanford University. Previously, I received my bachelor's degree in statistics from School of Mathematical Sciences at Peking University. At PKU, I had the pleasure to be advised by Prof. Lei Wu. I was also very fortunate to have worked with Prof. Weijie Su, Prof. Linjun Zhang, and Prof. James Zou during my undergraduate study. Please feel free to contact me if you are interested in my research!

Contact
puhengli AT stanford DOT edu
Education

  • Ph.D. in Statistics, 2028 (expected)

    Department of Statistics, Stanford University

  • B.S. in Statistics, 2023

    School of Mathematical Sciences, Peking University

  • High School Diploma (Mathematics), 2019

    Shanghai High School

(*: Equal contribution.)

Preprints

Zhanran Lin*, Puheng Li*, Lei Wu. Exploring Neural Network Landscapes: Star-Shaped and Geodesic Connectivity. (Apr. 2024)

arXiv

Publications

Puheng Li*, Zhong Li*, Huishuai Zhang, Jiang Bian. On the Generalization Properties of Diffusion Models. Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023).

arXiv Poster

Puheng Li, James Zou, Linjun Zhang. FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee. The Eleventh International Conference on Learning Representations (ICLR 2023).

arXiv Poster

Talks

"On the Generalization Properties of Diffusion Models." (01/01/2024). Invited talk at Learning on Graphs & Geometry (LoGG) Reading Group, MIT.

Link

"On the Generalization Properties of Diffusion Models." (11/10/2023). Recorded talk at Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023).

Link

"FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee." (04/07/2023). Recorded talk at The Eleventh International Conference on Learning Representations (ICLR 2023).

Link

Teaching

Teaching Assistant, Stanford University
  • STATS 207/307 - Introduction to Time Series Analysis (2024 Spring)
  • STATS 100 - Mathematics of Sports (2024 Winter)

    • Experience

    Research Intern, Machine Learning Group, Microsoft Research Asia
  • Worked on estimating the generalization error of score based diffusion models, under the supervision of Dr. Zhong Li, Dr. Huishuai Zhang, and Dr. Jiang Bian. (Mar. 2023 - Jun. 2023)

    • Honors & Awards

  • 2023 Stars of Tomorrow, Microsoft Research Asia
  • 2023 Excellent Graduate (PKU & Beijing)
  • 2022 Leo Koguan Scholarship
  • 2022, 2021, 2020 Merit Student of Peking University
  • 2021 Peking University Talent Pool Scholarship
  • 2020 Yizheng Alumni Scholarship
  • 2018 Gold Medal at the 34th Chinese Mathematical Olympiad
  • 2017 Silver Medal at the 33rd Chinese Mathematical Olympiad

    • Miscellaneous

    “Music gives a soul to the universe, wings to the mind, flight to the imagination and life to everything.” ― Plato
    I love singing and playing guitar. I was honored Top 10 Singers of Peking University.
    Find the selected performance videos on my Bilibili!

    I obtained 1 dan grading rank of Go. I was also a member of school Table Tennis and Billiards team when at PKU.

    Play a Gomoku Game with the robot I programmed!
    (Bot ID: 6363ccda832a161fc44b43d3)