Hengzhi He

I am a second-year PhD student at UCLA, working with Professor Guang Cheng. My research interests lie in applied probability, theoretical statistics, and theoretical computer science.

Email: hengzhihe@g.ucla.edu

Google Scholar

Current Focus

• Model Collapse: Understanding the benefits and risks of training models using synthetic data, and developing more efficient and reliable algorithms to leverage synthetic data.
• Statistical Watermarking: Designing watermarks to trace the origins of generated content, and developing more credible methods for evaluating watermarking techniques.

Selected Manuscripts

Watermarking Generative Tabular Data
Hengzhi He*, Peiyu Yu*, Junpeng Ren, Ying Nian Wu, Guang Cheng
Under R&R at Journal of the American Statistical Association (JASA), 2024
[arXiv]

Golden Ratio Weighting Prevents Model Collapse
Hengzhi He*, Shirong Xu*, Guang Cheng
Submitted, 2025
[arXiv]

* denotes equal contribution. For a full list, please refer to my Google Scholar page.

Education

• Department of Statistics and Data Science, University of California, Los Angeles (UCLA), 2023 – Present
  PhD Student, Advisor: Prof. Guang Cheng
• School of Mathematical Sciences, Peking University, 2019 – 2023
  Undergraduate Student