Ruofeng Yang

11 papers A* 6A 1Journal 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-Subspace Multi-Modal Modeling for Diffusion Models: Estimation, Convergence and Mixture of Experts. CoRR Ruofeng Yang, Yongcan Li, Bo Jiang, Cheng Chen, Shuai Li
2025	J	`jnl`	Elucidating Rectified Flow with Deterministic Sampler: Polynomial Discretization Complexity for Multi and One-step Models. CoRR Ruofeng Yang, Zhaoyu Zhu, Bo Jiang, Cheng Chen, Shuai Li
2025	A*	`conf`	Improved Discretization Complexity Analysis of Consistency Models: Variance Exploding Forward Process and Decay Discretization Scheme. ICML Ruofeng Yang, Bo Jiang, Cheng Chen, Shuai Li
2025	A	`conf`	The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers. AISTATS Ruofeng Yang, Bo Jiang, Shuai Li
2024	A*	`conf`	Few-Shot Diffusion Models Escape the Curse of Dimensionality. NeurIPS Ruofeng Yang, Bo Jiang, Cheng Chen, Ruinan Jin, Baoxiang Wang, Shuai Li
2024	A*	`conf`	Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models. NeurIPS Ruofeng Yang, Zhijie Wang, Bo Jiang, Shuai Li
2024	J	`jnl`	Understanding Representation Learnability of Nonlinear Self-Supervised Learning. CoRR Ruofeng Yang, Xiangyuan Li, Bo Jiang, Shuai Li
2023	A*	`conf`	Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition. ICLR Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Shuai Li
2023	A*	`conf`	Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback. NeurIPS Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Xuezhou Zhang, Shuai Li
2023	J	`jnl`	Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback. CoRR Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Xuezhou Zhang, Shuai Li
2023	A*	`conf`	Understanding Representation Learnability of Nonlinear Self-Supervised Learning. AAAI Ruofeng Yang, Xiangyuan Li, Bo Jiang, Shuai Li