| 2026 | AAAI | Online Cross-Modal Hashing with Expanding Label Space. | Wentao Fan, Chao Zhang, Chunlin Chen, Huaxiong Li |
| 2026 | AAAI | Semantic-Aware Feature Enhancement for Partial Label Learning. | Haowei Mei, Chao Zhang, Wentao Fan, Xiuyi Jia, Chunlin Chen, Huaxiong Li |
| 2026 | AAAI | Semantic-Augmented Image Clustering via Adaptive Multi-Modal Collaboration. | Xiaohan Zhang, Chao Zhang, Deng Xu, Hong Yu, Chunlin Chen, Huaxiong Li |
| 2026 | AAAI | Conditional Diffusion Model for Multi-Agent Dynamic Task Decomposition. | Yanda Zhu, Yuanyang Zhu, Daoyi Dong, Caihua Chen, Chunlin Chen |
| 2025 | AAAI | Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and Reconstruction. | Deng Xu, Chao Zhang, Cong Guo, Chunlin Chen, Huaxiong Li |
| 2025 | ICLR | PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations. | Qiang Liu, Huiqiao Fu, Kaiqiang Tang, Chunlin Chen, Daoyi Dong |
| 2025 | ICML | 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 |
| 2025 | KDD | Semi-supervised Multi-view Clustering with Active Constraints. | Chao Zhang, Deng Xu, Chunlin Chen, Huaxiong Li |
| 2025 | SMC | Constrained Policy Optimization with Approximately Monotonically Increasing Rewards. | Yuanyang Lu, Huiqiao Fu, Kaiqiang Tang, Chunlin Chen |
| 2025 | SMC | Imitation Learning with Process Adversarial Diffusion. | Yiming Qi, Huiqiao Fu, Kaiqiang Tang, Chunlin Chen |
| 2025 | SMC | Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise. | Xuefei Wu, Xiao Yin, Yuanyang Zhu, Chunlin Chen |
| 2025 | SMC | Charging Scheduling Optimization of Electric Buses Considering Battery Degradation. | Tianyi Yang, Jingwen Wei, Chunlin Chen, Guangzhong Dong |
| 2024 | AAAI | Learning Cluster-Wise Anchors for Multi-View Clustering. | Chao Zhang, Xiuyi Jia, Zechao Li, Chunlin Chen, Huaxiong Li |
| 2024 | CoRL | 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 |
| 2024 | ICLR | Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning. | Zican Hu, Zongzhang Zhang, Huaxiong Li, Chunlin Chen, Hongyu Ding, Zhi Wang |
| 2024 | ICLR | 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 |
| 2024 | IJCAI | Continual Multi-View Clustering with Consistent Anchor Guidance. | Chao Zhang, Deng Xu, Xiuyi Jia, Chunlin Chen, Huaxiong Li |
| 2024 | IJCNN | Transparent Projection Networks for Interpretable Image Recognition. | Zhao Yang, Chao Zhang, Chunlin Chen, Huaxiong Li |
| 2024 | SMC | Quantum Robust Control for Time-Varying Noises Based on Adversarial Learning. | Haotian Ji, Sen Kuang, Daoyi Dong, Chunlin Chen |
| 2024 | SMC | Dynamic Capacitated Vehicle Routing Problem with Stochastic Requests Using Deep Reinforcement Learning. | Kaiqiang Tang, Huiqiao Fu, Jiasheng Liu, Guizhou Deng, Yuanyang Lu, Chunlin Chen |
| 2023 | AAAI | 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 |
| 2023 | ECAI | BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization. | Junyi Wang, Yuanyang Zhu, Zhi Wang, Yan Zheng, Jianye Hao, Chunlin Chen |
| 2023 | ICML | Model-Aware Contrastive Learning: Towards Escaping the Dilemmas. | Zizheng Huang, Haoxing Chen, Ziqi Wen, Chao Zhang, Huaxiong Li, Bo Wang, Chunlin Chen |
| 2023 | ICML | NA | Zichuan Liu, Yuanyang Zhu, Chunlin Chen |
| 2022 | ICANN | Multi-level Metric Learning for Few-Shot Image Recognition. | Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen |
| 2022 | ICPR | Multi-Scale Adaptive Task Attention Network for Few-Shot Learning. | Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen |
| 2022 | IJCNN | Fast Probabilistic Policy Reuse via Reward Function Fitting. | Jinmei Liu, Zhi Wang, Chunlin Chen |
| 2022 | IJCNN | HRL2E: Hierarchical Reinforcement Learning with Low-level Ensemble. | You Qin, Zhi Wang, Chunlin Chen |
| 2022 | IROS | Task Decoupling in Preference-based Reinforcement Learning for Personalized Human-Robot Interaction. | Mingjiang Liu, Chunlin Chen |
| 2021 | DASC | An automatic fiber coupling system utilizing a modified evolutionary algorithm. | Chunlin Chen, Jing Wang, Liming Wu, Gewen Sun, Shaohua Chang, Junze Tong, Rongrong Ma, Zixuan Wang, Xiaolong Wang |
| 2021 | IJCAI | 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 |
| 2021 | SMC | A Guided Differential Evolution Algorithm for Control Design of Quantum Gates. | Shouliang Hu, Hailan Ma, Chunlin Chen |
| 2020 | IJCNN | IEDQN: Information Exchange DQN with a Centralized Coordinator for Traffic Signal Control. | Donghan Xie, Zhi Wang, Chunlin Chen, Daoyi Dong |
| 2020 | SMC | Several developments in learning control of quantum systems. | Hailan Ma, Chunlin Chen |
| 2018 | SMC | Knowledge Transfer between Multi-granularity Models for Reinforcement Learning. | Bo Xin, Kaiqiang Tang, Lan Wang, Chunlin Chen |
| 2018 | UIC | Backward Mining Technology Research on Continuous Attacks in Wide Time Domain. | Liang Guo, Weijian Li, Han Hu, Chunlin Chen, Junfeng Zhao, Zhenghai Cong |
| 2017 | SMC | A novel DDPG method with prioritized experience replay. | Yuenan Hou, Lifeng Liu, Qing Wei, Xudong Xu, Chunlin Chen |
| 2015 | ISADS | The Design and Implementation of an Automatic Burdening System Based on Proview. | Fenglong Yan, Chunlin Chen, Xuhui Yang, Qingguo Zhou, Changyan Di, Binling Jin, Rui Zhou |
| 2015 | SMC | Differential Evolution with Equally-Mixed Strategies for Robust Control of Open Quantum Systems. | Hailan Ma, Chunlin Chen, Daoyi Dong |
| 2015 | SMC | A Selective Harmonic Optimization Method for STATCOM in Steady State Based on the Sliding DFT. | Dachuan Tian, Zhangqing Zhu, Chunlin Chen |
| 2015 | SMC | Robust Quantum Operation for Two-Level Systems Using Sampling-Based Learning Control. | Chengzhi Wu, Chunlin Chen, Bo Qi, Daoyi Dong |
| 2014 | IJCNN | Sampling-based learning control for quantum discrimination and ensemble classification. | Chunlin Chen, Daoyi Dong, Bo Qi, Ian R. Petersen, Herschel Rabitz |
| 2013 | ACSSC | Downlink coverage analysis of n-tier heterogeneous cellular networks based on clustered stochastic geometry. | Chunlin Chen, Robert C. Elliott, Witold A. Krzymien |
| 2010 | ICARCV | Formation control of multi-robot systems. | Shuai Liu, Chunlin Chen, Lihua Xie, Yeong-Hwa Chang |
| 2010 | ISKE | Quantum-inspired reinforcement learning for decision-making of Markovian state transition. | Daoyi Dong, Chunlin Chen |
| 2009 | CloudCom | Scheduling Active Services in Clustered JBI Environment. | Xiangyang Jia, Shi Ying, Luokai Hu, Chunlin Chen |
| 2006 | TAMC | Grey Reinforcement Learning for Incomplete Information Processing. | Chunlin Chen, Daoyi Dong, Zonghai Chen |
| 2005 | CIS | An Autonomous Mobile Robot Based on Quantum Algorithm. | Daoyi Dong, Chunlin Chen, Chenbin Zhang, Zonghai Chen |
| 2005 | ICNC | Quantum Reinforcement Learning. | Daoyi Dong, Chunlin Chen, Zonghai Chen |