Research

Papers 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.)