| 2025 | AAAI | Effective Diffusion Transformer Architecture for Image Super-Resolution. | Kun Cheng, Lei Yu, Zhijun Tu, Xiao He, Liyu Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu |
| 2025 | ICML | Teaching Language Models to Critique via Reinforcement Learning. | Zhihui Xie, Jie Chen, Liyu Chen, Weichao Mao, Jingjing Xu, Lingpeng Kong |
| 2025 | ICML | Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. | Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang |
| 2024 | ICLR | B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis. | Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang |
| 2023 | ALT | Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path. | Liyu Chen, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric |
| 2023 | ICML | Layered State Discovery for Incremental Autonomous Exploration. | Liyu Chen, Andrea Tirinzoni, Alessandro Lazaric, Matteo Pirotta |
| 2023 | UAI | Posterior sampling-based online learning for the stochastic shortest path model. | Mehdi Jafarnia-Jahromi, Liyu Chen, Rahul Jain, Haipeng Luo |
| 2022 | AISTATS | Policy Learning and Evaluation with Randomized Quasi-Monte Carlo. | Sbastien M. R. Arnold, Pierre L'Ecuyer, Liyu Chen, Yi-Fan Chen, Fei Sha |
| 2022 | COLT | Policy Optimization for Stochastic Shortest Path. | Liyu Chen, Haipeng Luo, Aviv Rosenberg |
| 2022 | ICML | Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP. | Liyu Chen, Rahul Jain, Haipeng Luo |
| 2022 | ICML | Learning Infinite-horizon Average-reward Markov Decision Process with Constraints. | Liyu Chen, Rahul Jain, Haipeng Luo |
| 2021 | COLT | Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition. | Liyu Chen, Haipeng Luo, Chen-Yu Wei |
| 2021 | COLT | Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications. | Liyu Chen, Haipeng Luo, Chen-Yu Wei |
| 2021 | ICML | Finding the Stochastic Shortest Path with Low Regret: the Adversarial Cost and Unknown Transition Case. | Liyu Chen, Haipeng Luo |
| 2019 | IJCAI | Hyper-parameter Tuning under a Budget Constraint. | Zhiyun Lu, Liyu Chen, Chao-Kai Chiang, Fei Sha |