Yifan Hao

Ph.D. student University of Illinois Urbana-Champaign, Computer Science [Curriculum Vitae]      [Google Scholar] Email: yifanh12 AT Illinois DOT edu

I am a first-year Ph.D. student in computer science at UIUC, where I am fortunate to advised by Prof. Tong Zhang. Previously, I obtained a master's degree in mathematics in 2024 at The Hong Kong University of Science and Technology, where my study was supported by the Hong Kong PhD Fellowship. Before that, I received a B.S. in Statistics from the University of Science and Technology of China in 2022.

Research Interests

My research interests span the intersection of machine learning theory and statistics, with a special focus on analyzing both robustness and generalization performance of neural networks.

Publications and Preprints

1. On the Benefits of Over-parameterization for Out-of-Distribution Generalization
   Yifan Hao*, Yong Lin*, Difan Zou, Tong Zhang, Preprint.
   

2. The Surprising Harmfulness of Benign Overfitting for Adversarial Robustness
   Yifan Hao, Tong Zhang, Preprint.
   

3. Spurious feature diversification improves out-of-distribution generalization
   Yong Lin*, Lu Tan*, Yifan Hao*, Honam Wong, Hanze Dong, Weizhong Zhang, Yujiu Yang, Tong Zhang, ICLR 2024.
   

4. Monte Carlo Sampling without Isoperimetry: A Reverse Diffusion Approach
   Xunpeng Huang*, Hanze Dong*, Yifan Hao, YI-An Ma, Tong Zhang, ICLR 2024.
   

5. SFQRA: Scaled Factor-augmented Quantile Regression with Aggregation in Conditional Mean Forecasting
   Lei Shu, Yifan Hao, Yu Chen, Qing Yang, Preprint.
   

(* denotes equal contribution.)

Servie

Conference Reviewer: NeurIPS 2024
Journal Reviewer: Journal of Machine Learning Research, SIAM Journal on Mathematics of Data Science

Contact me

If you are interested in discussing with me, feel free to contact me via email: yifanh12 AT Illinois DOT edu, yhaoah AT connect AT ust AT hk.