| 2025 | ICLR | Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models. | Yuda Song, Hanlin Zhang, Carson Eisenach, Sham M. Kakade, Dean P. Foster, Udaya Ghai |
| 2025 | ICML | Accelerating Unbiased LLM Evaluation via Synthetic Feedback. | Zhaoyi Zhou, Yuda Song, Andrea Zanette |
| 2024 | ICLR | Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees. | Yifei Zhou, Ayush Sekhari, Yuda Song, Wen Sun |
| 2024 | ICML | Hybrid Reinforcement Learning from Offline Observation Alone. | Yuda Song, Drew Bagnell, Aarti Singh |
| 2024 | ICML | Rich-Observation Reinforcement Learning with Continuous Latent Dynamics. | Yuda Song, Lili Wu, Dylan J. Foster, Akshay Krishnamurthy |
| 2023 | COLT | Provable Benefits of Representational Transfer in Reinforcement Learning. | Alekh Agarwal, Yuda Song, Wen Sun, Kaiwen Wang, Mengdi Wang, Xuezhou Zhang |
| 2023 | ICLR | Hybrid RL: Using both offline and online data can make RL efficient. | Yuda Song, Yifei Zhou, Ayush Sekhari, Drew Bagnell, Akshay Krishnamurthy, Wen Sun |
| 2023 | ICLR | Representation Learning for Low-rank General-sum Markov Games. | Chengzhuo Ni, Yuda Song, Xuezhou Zhang, Zihan Ding, Chi Jin, Mengdi Wang |
| 2023 | ICML | The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms. | Anirudh Vemula, Yuda Song, Aarti Singh, Drew Bagnell, Sanjiban Choudhury |
| 2022 | ACCV | Modular Degradation Simulation and Restoration for Under-Display Camera. | Yang Zhou, Yuda Song, Xin Du |
| 2022 | ECCV | Multi-Curve Translator for High-Resolution Photorealistic Image Translation. | Yuda Song, Hui Qian, Xin Du |
| 2022 | ICLR | Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design. | Ye Yuan, Yuda Song, Zhengyi Luo, Wen Sun, Kris M. Kitani |
| 2022 | ICML | Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach. | Xuezhou Zhang, Yuda Song, Masatoshi Uehara, Mengdi Wang, Alekh Agarwal, Wen Sun |
| 2021 | ICCV | StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement. | Yuda Song, Hui Qian, Xin Du |
| 2021 | ICML | PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration. | Yuda Song, Wen Sun |
| 2020 | ICML | Provably Efficient Model-based Policy Adaptation. | Yuda Song, Aditi Mavalankar, Wen Sun, Sicun Gao |
| 2020 | ICPR | Automatical Enhancement and Denoising of Extremely Low-light Images. | Yuda Song, Yunfang Zhu, Xin Du |