Scholar
Ruofeng Yang
Google Scholar ID: Cw9HDacAAAAJ
Shanghai Jiao Tong University
Citations & Impact
Citations
44
H-index
4
i10-index
2
Publications
10
Co-authors
7
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Paper 'Elucidating Rectified Flow with Deterministic Sampler' accepted by CSML 2025
- Paper 'Improved Discretization Complexity Analysis of Consistency Models' accepted by ICML 2025
- Paper 'The Polynomial Iteration Complexity for Variance Exploding Diffusion Models' accepted by AISTATS 2025
- Two papers on iteration complexity and few-shot diffusion models accepted by NeurIPS 2024; one received 2nd Prize Best Paper Award at TongAI 2025
- Paper 'Understanding Representation Learnability of Nonlinear Self-Supervised Learning' accepted by AAAI 2023 (Oral)
- Paper 'Learning Adversarial Linear Mixture Markov Decision Processes...' accepted by ICLR 2023
- Paper 'Learning Adversarial Low-rank Markov Decision Processes...' accepted by NeurIPS 2023
- Multiple papers submitted to ICML 2025, SODA 2026, etc.
- Serving as reviewer for ICML 2025 and AISTATS 2025
Background
- Third-year PhD student in Computer Science at Shanghai Jiao Tong University
- Affiliated with the John Hopcroft Center, supervised by Prof. Shuai Li since September 2022
- Research interests: diffusion models, deep learning theory, reinforcement learning, and RLHF
- Currently focusing on theoretical analysis of diffusion models (sampling complexity, statistical complexity, optimization perspective)
- Exploring the integration of diffusion models and reinforcement learning, e.g., RL-based fine-tuning of diffusion models and using diffusion in offline-to-online RL
