Monte Carlo Sampling without Isoperimetry: A Reverse Diffusion Approach. - Xunpeng Huang; Hanze Dong; Yifan Hao 002; Yian Ma; Tong Zhang 001 (CoRR, 2023)

Reverse Diffusion Monte Carlo. - Xunpeng Huang; Hanze Dong; Yifan Hao 002; Yian Ma; Tong Zhang 001 (ICLR, 2024)

Spurious Feature Diversification Improves Out-of-distribution Generalization. - Yong Lin; Lu Tan; Yifan Hao 002; Honam Wong; Hanze Dong; Weizhong Zhang; Yujiu Yang; Tong Zhang 001 (ICLR, 2024)

The Surprising Harmfulness of Benign Overfitting for Adversarial Robustness. - Yifan Hao 002; Tong Zhang 001 (CoRR, 2024)

On the Benefits of Over-parameterization for Out-of-Distribution Generalization. - Yifan Hao 002; Yong Lin; Difan Zou; Tong Zhang 001 (CoRR, 2024)

SFQRA: Scaled factor-augmented quantile regression with aggregation in conditional mean forecasting. - Lei Shu 006; Yifan Hao 002; Yu Chen 018; Qing Yang (J. Multivar. Anal., 2025)

Efficient Model Editing with Task Vector Bases: A Theoretical Framework and Scalable Approach. - Siqi Zeng 001; Yifei He; Weiqiu You; Yifan Hao 002; Yao-Hung Hubert Tsai; Makoto Yamada; Han Zhao 002 (CoRR, 2025)

Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL. - Jiarui Yao; Yifan Hao 002; Hanning Zhang; Hanze Dong; Wei Xiong 015; Nan Jiang 008; Tong Zhang 001 (CoRR, 2025)

Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods. - Yifan Hao 002; Xingyuan Pan; Hanning Zhang; Chenlu Ye; Rui Pan 002; Tong Zhang 001 (CoRR, 2025)

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models. - Yifan Hao 002; Chenlu Ye; Chi Han; Tong Zhang 001 (CoRR, 2025)