Understanding Representation Learnability of Nonlinear Self-Supervised Learning. - Ruofeng Yang; Xiangyuan Li; Bo Jiang; Shuai Li 010 (AAAI, 2023)

Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition. - Canzhe Zhao; Ruofeng Yang; Baoxiang Wang 001; Shuai Li 010 (ICLR, 2023)

Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback. - Canzhe Zhao; Ruofeng Yang; Baoxiang Wang 001; Xuezhou Zhang; Shuai Li 010 (NeurIPS, 2023)

Few-Shot Diffusion Models Escape the Curse of Dimensionality. - Ruofeng Yang; Bo Jiang; Cheng Chen 015; Ruinan Jin; Baoxiang Wang 001; Shuai Li 010 (NeurIPS, 2024)

Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models. - Ruofeng Yang; Zhijie Wang; Bo Jiang; Shuai Li 010 (NeurIPS, 2024)

The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers. - Ruofeng Yang; Bo Jiang; Shuai Li 010 (AISTATS, 2025)