Chen, Chunlin

20 publications

NeurIPS 2025 DEAL: Diffusion Evolution Adversarial Learning for Sim-to-Real Transfer Wentao Xu, Huiqiao Fu, Haoyu Dong, Zhehao Zhou, Chunlin Chen

ICML 2025 Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning Zican Hu, Wei Liu, Xiaoye Qu, Xiangyu Yue, Chunlin Chen, Zhi Wang, Yu Cheng

AAAI 2025 Fast Incomplete Multi-View Clustering with Adaptive Similarity Completion and Reconstruction Deng Xu, Chao Zhang, Cong Guo, Chunlin Chen, Huaxiong Li

NeurIPS 2025 High-Order Interactions Modeling for Interpretable Multi-Agent Q-Learning Qinyu Xu, Yuanyang Zhu, Xuefei Wu, Chunlin Chen

NeurIPS 2025 Mixture-of-Experts Meets In-Context Reinforcement Learning Wenhao Wu, Fuhong Liu, Haoru Li, Zican Hu, Daoyi Dong, Chunlin Chen, Zhi Wang

ICLR 2025 PN-GAIL: Leveraging Non-Optimal Information from Imperfect Demonstrations Qiang Liu, Huiqiao Fu, Kaiqiang Tang, Chunlin Chen, Daoyi Dong

NeurIPS 2025 Text-to-Decision Agent: Offline Meta-Reinforcement Learning from Natural Language Supervision Shilin Zhang, Zican Hu, Wenhao Wu, Xinyi Xie, Jianxiang Tang, Chunlin Chen, Daoyi Dong, Yu Cheng, Zhenhong Sun, Zhi Wang

ICLR 2024 Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning Zican Hu, Zongzhang Zhang, Huaxiong Li, Chunlin Chen, Hongyu Ding, Zhi Wang

IJCAI 2024 Continual Multi-View Clustering with Consistent Anchor Guidance Chao Zhang, Deng Xu, Xiuyi Jia, Chunlin Chen, Huaxiong Li

NeurIPS 2024 EASI: Evolutionary Adversarial Simulator Identification for Sim-to-Real Transfer Haoyu Dong, Huiqiao Fu, Wentao Xu, Zhehao Zhou, Chunlin Chen

ICLR 2024 Explaining Time Series via Contrastive and Locally Sparse Perturbations Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen

AAAI 2024 Learning Cluster-Wise Anchors for Multi-View Clustering Chao Zhang, Xiuyi Jia, Zechao Li, Chunlin Chen, Huaxiong Li

NeurIPS 2024 Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement Zhi Wang, Li Zhang, Wenhao Wu, Yuanheng Zhu, Dongbin Zhao, Chunlin Chen

CoRL 2024 Multi-Agent Reinforcement Learning with Hybrid Action Space for Free Gait Motion Planning of Hexapod Robots Huiqiao Fu, Kaiqiang Tang, Peng Li, Guizhou Deng, Chunlin Chen

NeurIPS 2024 Protecting Your LLMs with Information Bottleneck Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian

AAAI 2023 Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering Chao Zhang, Huaxiong Li, Wei Lv, Zizheng Huang, Yang Gao, Chunlin Chen

NeurIPS 2023 Ess-InfoGAIL: Semi-Supervised Imitation Learning from Imbalanced Demonstrations Huiqiao Fu, Kaiqiang Tang, Yuanyang Lu, Yiming Qi, Guizhou Deng, Flood Sung, Chunlin Chen

ICML 2023 Model-Aware Contrastive Learning: Towards Escaping the Dilemmas Zizheng Huang, Haoxing Chen, Ziqi Wen, Chao Zhang, Huaxiong Li, Bo Wang, Chunlin Chen

ICML 2023 N$\text{A}^{\text{2}}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning Zichuan Liu, Yuanyang Zhu, Chunlin Chen

IJCAI 2021 Deep Reinforcement Learning for Multi-Contact Motion Planning of Hexapod Robots Huiqiao Fu, Kaiqiang Tang, Peng Li, Wenqi Zhang, Xinpeng Wang, Guizhou Deng, Tao Wang, Chunlin Chen