Chen, Huayu

12 publications

ICML 2025 Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model Is Secretly a GAN Discriminator Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang

ICML 2025 Free Process Rewards Without Process Labels Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kaiyan Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng

ICLR 2025 RDT-1B: A Diffusion Foundation Model for Bimanual Manipulation Songming Liu, Lingxuan Wu, Bangguo Li, Hengkai Tan, Huayu Chen, Zhengyi Wang, Ke Xu, Hang Su, Jun Zhu

ICLR 2025 Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment Huayu Chen, Hang Su, Peize Sun, Jun Zhu

ICML 2025 Visual Generation Without Guidance Huayu Chen, Kai Jiang, Kaiwen Zheng, Jianfei Chen, Hang Su, Jun Zhu

NeurIPS 2024 Aligning Diffusion Behaviors with Q-Functions for Efficient Continuous Control Huayu Chen, Kaiwen Zheng, Hang Su, Jun Zhu

NeurIPS 2024 C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu

NeurIPS 2024 Noise Contrastive Alignment of Language Models with Explicit Rewards Huayu Chen, Guande He, Lifan Yuan, Ganqu Cui, Hang Su, Jun Zhu

ICLR 2024 Score Regularized Policy Optimization Through Diffusion Behavior Huayu Chen, Cheng Lu, Zhengyi Wang, Hang Su, Jun Zhu

ICML 2023 Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu

ICLR 2023 Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu

MLOSS 2022 Tianshou: A Highly Modularized Deep Reinforcement Learning Library Jiayi Weng, Huayu Chen, Dong Yan, Kaichao You, Alexis Duburcq, Minghao Zhang, Yi Su, Hang Su, Jun Zhu