Biography
I am currently a second year PhD student at CMS department, Caltech, where I am very fortunate to be advised by Yisong Yue and Yang Song. My primary research interests lie in both practical and theoretical aspects of machine learning, and I enjoy making machine learning algorithms more robust, efficient, and powerful. My recent research focuses on posterior sampling methods for diffusion models.
I like playing piano and I especially enjoy playing the songs from animes. I am also a fan of chess and photography.
Download my curriculum vitae. (Last update in Jan, 2023)
- Generative Models
- Inverse Problems
- Trustworthy Machine Learning
- Federated Learning
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California Institute of Technology, 2023-Present
Computing + Mathematical Science
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Tsinghua University, 2019-2023
Yao Class, Institute for Interdisciplinary Information Sciences
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Shenzhen Middle School, 2016-2019
| Sep, 2023 | I joined Caltech CMS as a PhD student! | |
|---|---|---|
| June, 2023 | I graduated from Tsinghua University! |
Experience
I was fortunate to be advised by Prof. Bo Li. Projects include:
- Certified robustness for point cloud models
- Certified robustness for multi-sensor fusion systems
- Fair federated learning by EM clustering
- Distributed differentially private generative models with heterogeneous data
- Personalized federated learning with knowledge distillation
- I was fortunate to be advised by Prof. Xiaolin Hu and researched on launching physically realizable adversarial attacks on object detection models.
Publications
Selected Projects
