Zhang, Zhilong

14 publications

NeurIPS 2025 Accelerating 3D Molecule Generative Models with Trajectory Diagnosis Zhilong Zhang, Yuxuan Song, Yichun Wang, Jingjing Gong, Hanlin Wu, Dongzhan Zhou, Hao Zhou, Wei-Ying Ma

ICLR 2025 Any-Step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning Haoxin Lin, Yu-Yan Xu, Yihao Sun, Zhilong Zhang, Yi-Chen Li, Chengxing Jia, Junyin Ye, Jiaji Zhang, Yang Yu

ICML 2025 Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks Keyue Qiu, Yuxuan Song, Jie Yu, Hongbo Ma, Ziyao Cao, Zhilong Zhang, Yushuai Wu, Mingyue Zheng, Hao Zhou, Wei-Ying Ma

ICML 2025 Improving Reward Model Generalization from Adversarial Process Enhanced Preferences Zhilong Zhang, Tian Xu, Xinghao Du, Xingchen Cao, Yihao Sun, Yang Yu

NeurIPS 2025 Rationalized All-Atom Protein Design with Unified Multi-Modal Bayesian Flow Hanlin Wu, Yuxuan Song, Zhe Zhang, Zhilong Zhang, Hao Zhou, Wei-Ying Ma, Jingjing Liu

ICLR 2025 Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning Tian-Shuo Liu, Xu-Hui Liu, Ruifeng Chen, Lixuan Jin, Pengyuan Wang, Zhilong Zhang, Yang Yu

ICLR 2024 Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing Ling Yang, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin Cui

ICML 2024 Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Ruifeng Chen, Zhilong Zhang, Xinwei Chen, Yang Yu

ICLR 2024 Flow to Better: Offline Preference-Based Reinforcement Learning via Preferred Trajectory Generation Zhilong Zhang, Yihao Sun, Junyin Ye, Tian-Shuo Liu, Jiaji Zhang, Yang Yu

ICML 2024 Limited Preference Aided Imitation Learning from Imperfect Demonstrations Xingchen Cao, Fan-Ming Luo, Junyin Ye, Tian Xu, Zhilong Zhang, Yang Yu

ICLR 2024 Protein-Ligand Interaction Prior for Binding-Aware 3D Molecule Diffusion Models Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang

NeurIPS 2024 Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation Tian Xu, Zhilong Zhang, Ruishuo Chen, Yihao Sun, Yang Yu

CVPR 2024 Structure-Guided Adversarial Training of Diffusion Models Ling Yang, Haotian Qian, Zhilong Zhang, Jingwei Liu, Bin Cui

NeurIPS 2023 Improving Diffusion-Based Image Synthesis with Context Prediction Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui