Hybrid Control for Robot Navigation - A Hierarchical Q-Learning Algorithm. - Chunlin Chen 001; Han-Xiong Li; Daoyi Dong (IEEE Robotics Autom. Mag., 2008)

Quantum Reinforcement Learning. - Daoyi Dong; Chunlin Chen 001; Han-Xiong Li; Tzyh Jong Tarn (IEEE Trans. Syst. Man Cybern. Part B, 2008)

Incoherent Control of Quantum Systems With Wavefunction-Controllable Subspaces via Quantum Reinforcement Learning. - Daoyi Dong; Chunlin Chen 001; Tzyh Jong Tarn; Alexander N. Pechen; Herschel Rabitz (IEEE Trans. Syst. Man Cybern. Part B, 2008)

Partial feedback control of quantum systems using probabilistic fuzzy estimator. - Chunlin Chen 001; Gerasimos G. Rigatos; Daoyi Dong; James Lam (CDC, 2009)

Hybrid MDP based integrated hierarchical Q-learning. - Chunlin Chen 001; Daoyi Dong; Han-Xiong Li; Tzyh Jong Tarn (Sci. China Inf. Sci., 2011)

Control Design of Uncertain Quantum Systems With Fuzzy Estimators. - Chunlin Chen 001; Daoyi Dong; James Lam; Jian Chu; Tzyh Jong Tarn (IEEE Trans. Fuzzy Syst., 2012)

Sampling-based learning control for quantum systems with hamiltonian uncertainties. - Daoyi Dong; Chunlin Chen 001; Ruixing Long; Bo Qi; Ian R. Petersen (CDC, 2013)

Robust entanglement control between two atoms in a cavity using sampling-based learning control. - Mohamed Abdalla Mabrok; Daoyi Dong; Chunlin Chen 001; Ian R. Petersen (CDC, 2014)

Sampling-based learning control for quantum discrimination and ensemble classification. - Chunlin Chen 001; Daoyi Dong; Bo Qi; Ian R. Petersen; Herschel Rabitz (IJCNN, 2014)

Coordinated standoff tracking of moving targets using differential geometry. - Zhi-qiang Song; Huaxiong Li; Chunlin Chen 001; Xianzhong Zhou; Feng Xu (J. Zhejiang Univ. Sci. C, 2014)

Fidelity-Based Probabilistic Q-Learning for Control of Quantum Systems. - Chunlin Chen 001; Daoyi Dong; Han-Xiong Li; Jian Chu; Tzyh Jong Tarn (IEEE Trans. Neural Networks Learn. Syst., 2014)

Sampling-Based Learning Control for Quantum Systems With Uncertainties. - Daoyi Dong; Mohamed Abdalla Mabrok; Ian R. Petersen; Bo Qi; Chunlin Chen 001; Herschel Rabitz (IEEE Trans. Control. Syst. Technol., 2015)

Differential Evolution for Quantum Robust Control: Algorithm, Applications and Experiments. - Daoyi Dong; Xi Xing; Hailan Ma; Chunlin Chen 001; Zhixin Liu 003; Herschel Rabitz (CoRR, 2017)

Robust Learning Control Design for Quantum Unitary Transformations. - Chengzhi Wu; Bo Qi; Chunlin Chen 001; Daoyi Dong (IEEE Trans. Cybern., 2017)

Multiagent Reinforcement Learning With Sparse Interactions by Negotiation and Knowledge Transfer. - Luowei Zhou; Pei Yang; Chunlin Chen 001; Yang Gao 001 (IEEE Trans. Cybern., 2017)

Quantum Ensemble Classification: A Sampling-Based Learning Control Approach. - Chunlin Chen 001; Daoyi Dong; Bo Qi; Ian R. Petersen; Herschel Rabitz (IEEE Trans. Neural Networks Learn. Syst., 2017)

A novel hierarchical regression approach for human facial age estimation based on deep forest. - Tao Wu; Yonghao Zhao; Lifeng Liu; Huaxiong Li; Weihong Xu; Chunlin Chen 001 (ICNSC, 2018)

Self-Paced Prioritized Curriculum Learning With Coverage Penalty in Deep Reinforcement Learning. - Zhipeng Ren; Daoyi Dong; Huaxiong Li; Chunlin Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

IEDQN: Information Exchange DQN with a Centralized Coordinator for Traffic Signal Control. - Donghan Xie; Zhi Wang 001; Chunlin Chen 001; Daoyi Dong (IJCNN, 2020)

Learning-Based Quantum Robust Control: Algorithm, Applications, and Experiments. - Daoyi Dong; Xi Xing; Hailan Ma; Chunlin Chen 001; Zhixin Liu 003; Herschel Rabitz (IEEE Trans. Cybern., 2020)

Reinforcement Learning-Based Optimal Sensor Placement for Spatiotemporal Modeling. - Zhi Wang 001; Han-Xiong Li; Chunlin Chen 001 (IEEE Trans. Cybern., 2020)

Incremental Reinforcement Learning in Continuous Spaces via Policy Relaxation and Importance Weighting. - Zhi Wang 001; Han-Xiong Li; Chunlin Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Reducing Differences Between Real and Realistic Samples to Improve GANs. - Shen Zhang; Huaxiong Li; Yaohui Li; Xianzhong Zhou; Chunlin Chen 001 (ICNSC, 2021)

Deep Reinforcement Learning for Multi-contact Motion Planning of Hexapod Robots. - Huiqiao Fu; Kaiqiang Tang; Peng Li 031; Wenqi Zhang 001; Xinpeng Wang 006; Guizhou Deng; Tao Wang 004; Chunlin Chen 001 (IJCAI, 2021)

Local Mutual Metric Network for Few-Shot Image Classification. - Yaohui Li; Huaxiong Li; Haoxing Chen; Chunlin Chen 001 (PRCV (1), 2021)

Hierarchical Representation based Query-Specific Prototypical Network for Few-Shot Image Classification. - Yaohui Li; Huaxiong Li; Haoxing Chen; Chunlin Chen 001 (CoRR, 2021)

Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction. - Yuanyang Zhu; Zhi Wang 001; Chunlin Chen 001; Daoyi Dong (CoRR, 2021)

Shaping Visual Representations with Attributes for Few-Shot Learning. - Haoxing Chen; Huaxiong Li; Yaohui Li; Chunlin Chen 001 (CoRR, 2021)

Nonnegative representation based discriminant projection for face recognition. - Chao Zhang 078; Huaxiong Li; Chunlin Chen 001; Xianzhong Zhou (Int. J. Mach. Learn. Cybern., 2021)

Pairwise Relations Oriented Discriminative Regression. - Chao Zhang 078; Huaxiong Li; Yuhua Qian; Chunlin Chen 001; Yang Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Multi-level Metric Learning for Few-Shot Image Recognition. - Haoxing Chen; Huaxiong Li; Yaohui Li; Chunlin Chen 001 (ICANN (1), 2022)

Multi-Scale Adaptive Task Attention Network for Few-Shot Learning. - Haoxing Chen; Huaxiong Li; Yaohui Li; Chunlin Chen 001 (ICPR, 2022)

Model-Aware Contrastive Learning: Towards Escaping Uniformity-Tolerance Dilemma in Training. - Zizheng Huang; Chao Zhang 078; Huaxiong Li; Bo Wang 027; Chunlin Chen 001 (CoRR, 2022)

Enhanced Group Sparse Regularized Nonconvex Regression for Face Recognition. - Chao Zhang 078; Huaxiong Li; Chunlin Chen 001; Yuhua Qian; Xianzhong Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Shaping Visual Representations With Attributes for Few-Shot Recognition. - Haoxing Chen; Huaxiong Li; Yaohui Li; Chunlin Chen 001 (IEEE Signal Process. Lett., 2022)

Deep Reinforcement Learning With Quantum-Inspired Experience Replay. - Qing Wei; Hailan Ma; Chunlin Chen 001; Daoyi Dong (IEEE Trans. Cybern., 2022)

Lifelong Incremental Reinforcement Learning With Online Bayesian Inference. - Zhi Wang 001; Chunlin Chen 001; Daoyi Dong (IEEE Trans. Neural Networks Learn. Syst., 2022)

Locality-Constrained Discriminative Matrix Regression for Robust Face Identification. - Chao Zhang 078; Huaxiong Li; Yuhua Qian; Chunlin Chen 001; Xianzhong Zhou (IEEE Trans. Neural Networks Learn. Syst., 2022)

Perspective-Corrected Spatial Referring Expression Generation for Human-Robot Interaction. - Mingjiang Liu; Chengli Xiao; Chunlin Chen 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering. - Chao Zhang 078; Huaxiong Li; Wei Lv; Zizheng Huang; Yang Gao 001; Chunlin Chen 001 (AAAI, 2023)

BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization. - Junyi Wang; Yuanyang Zhu; Zhi Wang 001; Yan Zheng 002; Jianye Hao; Chunlin Chen 001 (ECAI, 2023)

Model-Aware Contrastive Learning: Towards Escaping the Dilemmas. - Zizheng Huang; Haoxing Chen; Ziqi Wen; Chao Zhang 078; Huaxiong Li; Bo Wang 027; Chunlin Chen 001 (ICML, 2023)

Robust Spectral Embedding Completion Based Incomplete Multi-view Clustering. - Chao Zhang 078; Jingwen Wei; Bo Wang 027; Zechao Li; Chunlin Chen 001; Huaxiong Li (ACM Multimedia, 2023)

Attention-Based Transformer Networks for Quantum State Tomography. - Hailan Ma; Zhenhong Sun; Daoyi Dong; Chunlin Chen 001; Herschel Rabitz (CoRR, 2023)

Joint Projection Learning and Tensor Decomposition Based Incomplete Multi-view Clustering. - Wei Lv; Chao Zhang 078; Huaxiong Li; Xiuyi Jia; Chunlin Chen 001 (CoRR, 2023)

Global Sensitivity Analysis for Impedance Spectrum Identification of Lithium-Ion Batteries Using Time-Domain Response. - Jingwen Wei; Chunlin Chen 001; Guangzhong Dong (IEEE Trans. Ind. Electron., 2023)

Adaptive Label Correlation Based Asymmetric Discrete Hashing for Cross-Modal Retrieval. - Huaxiong Li; Chao Zhang 078; Xiuyi Jia; Yang Gao 001; Chunlin Chen 001 (IEEE Trans. Knowl. Data Eng., 2023)

Adaptive Marginalized Semantic Hashing for Unpaired Cross-Modal Retrieval. - Kaiyi Luo; Chao Zhang 078; Huaxiong Li; Xiuyi Jia; Chunlin Chen 001 (IEEE Trans. Multim., 2023)

Continual portfolio selection in dynamic environments via incremental reinforcement learning. - Shu Liu; Bo Wang 027; Huaxiong Li; Chunlin Chen 001; Zhi Wang 001 (Int. J. Mach. Learn. Cybern., 2023)

Multi-Level Cascade Sparse Representation Learning for Small Data Classification. - Wenyuan Zhong; Huaxiong Li; Qinghua Hu; Yang Gao 001; Chunlin Chen 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Weakly-Supervised Enhanced Semantic-Aware Hashing for Cross-Modal Retrieval. - Chao Zhang 078; Huaxiong Li; Yang Gao 001; Chunlin Chen 001 (IEEE Trans. Knowl. Data Eng., 2023)

A robust mixed error coding method based on nonconvex sparse representation. - Wei Lv; Chao Zhang 078; Huaxiong Li; Bo Wang 027; Chunlin Chen 001 (Inf. Sci., 2023)

Rolling horizon wind-thermal unit commitment optimization based on deep reinforcement learning. - Jinhao Shi; Bo Wang 027; Ran Yuan; Zhi Wang 001; Chunlin Chen 001; Junzo Watada (Appl. Intell., 2023)

Extracting Decision Tree From Trained Deep Reinforcement Learning in Traffic Signal Control. - Yuanyang Zhu; Xiao Yin; Chunlin Chen 001 (IEEE Trans. Comput. Soc. Syst., 2023)

Sparse spatial transformers for few-shot learning. - Haoxing Chen; Huaxiong Li; Yaohui Li; Chunlin Chen 001 (Sci. China Inf. Sci., 2023)

Two-step robust control design of quantum gates via differential evolution. - Shouliang Hu; Hailan Ma; Daoyi Dong; Chunlin Chen 001 (J. Frankl. Inst., 2023)

Hierarchical Free Gait Motion Planning for Hexapod Robots Using Deep Reinforcement Learning. - Xinpeng Wang 006; Huiqiao Fu; Guizhou Deng; Canghai Liu; Kaiqiang Tang; Chunlin Chen 001 (IEEE Trans. Ind. Informatics, 2023)

Curriculum-Based Deep Reinforcement Learning for Quantum Control. - Hailan Ma; Daoyi Dong; Steven X. Ding; Chunlin Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning. - Hongyu Ding; Yuanze Tang; Qing Wu; Bo Wang 027; Chunlin Chen 001; Zhi Wang 001 (IEEE CAA J. Autom. Sinica, 2023)

A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning. - Zhi Wang 001; Chunlin Chen 001; Daoyi Dong (IEEE Trans. Cybern., 2023)

Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments. - Zhi Wang 001; Chunlin Chen 001; Daoyi Dong (IEEE Trans. Neural Networks Learn. Syst., 2023)

Learning Cluster-Wise Anchors for Multi-View Clustering. - Chao Zhang 078; Xiuyi Jia; Zechao Li; Chunlin Chen 001; Huaxiong Li (AAAI, 2024)

Multi-agent Reinforcement Learning with Hybrid Action Space for Free Gait Motion Planning of Hexapod Robots. - Huiqiao Fu; Kaiqiang Tang; Peng Li 031; Guizhou Deng; Chunlin Chen 001 (CoRL, 2024)

Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning. - Zican Hu; Zongzhang Zhang; Huaxiong Li; Chunlin Chen 001; Hongyu Ding; Zhi Wang 001 (ICLR, 2024)

Continual Multi-View Clustering with Consistent Anchor Guidance. - Chao Zhang 078; Deng Xu; Xiuyi Jia; Chunlin Chen 001; Huaxiong Li (IJCAI, 2024)

Transparent Projection Networks for Interpretable Image Recognition. - Zhao Yang; Chao Zhang 078; Chunlin Chen 001; Huaxiong Li (IJCNN, 2024)

Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement. - Zhi Wang 001; Li Zhang; Wenhao Wu; Yuanheng Zhu; Dongbin Zhao; Chunlin Chen 001 (NeurIPS, 2024)

Self-paced semi-supervised feature selection with application to multi-modal Alzheimer's disease classification. - Chao Zhang 078; Wentao Fan 003; Bo Wang 027; Chunlin Chen 001; Huaxiong Li (Inf. Fusion, 2024)

Multi-level graph regularized robust multi-modal feature selection for Alzheimer's disease classification. - Chao Zhang 078; Wentao Fan 003; Huaxiong Li; Chunlin Chen 001 (Knowl. Based Syst., 2024)

Learning latent disentangled embeddings and graphs for multi-view clustering. - Chao Zhang 078; Haoxing Chen; Huaxiong Li; Chunlin Chen 001 (Pattern Recognit., 2024)

Balancing Awareness Fast Charging Control for Lithium-Ion Battery Pack Using Deep Reinforcement Learning. - Yikun Yang; Jiarui He; Chunlin Chen 001; Jingwen Wei (IEEE Trans. Ind. Electron., 2024)

Incremental Reinforcement Learning via Performance Evaluation and Policy Perturbation. - Guizhou Deng; Huiqiao Fu; Xinpeng Wang 006; Canghai Liu; Kaiqiang Tang; Chunlin Chen 001 (IEEE Trans. Artif. Intell., 2024)

Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation. - Donghan Xie; Zhi Wang 001; Chunlin Chen 001; Daoyi Dong (IEEE Trans. Neural Networks Learn. Syst., 2024)

Low-Rank Tensor Regularized Views Recovery for Incomplete Multiview Clustering. - Chao Zhang 078; Huaxiong Li; Caihua Chen; Xiuyi Jia; Chunlin Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Hierarchical Multicontact Motion Planning of Hexapod Robots With Incremental Reinforcement Learning. - Kaiqiang Tang; Huiqiao Fu; Guizhou Deng; Xinpeng Wang 006; Chunlin Chen 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Hamiltonian Identification via Quantum Ensemble Classification. - Haixu Yu; Xudong Zhao 001; Daoyi Dong; Chunlin Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Efficient Bayesian Policy Reuse With a Scalable Observation Model in Deep Reinforcement Learning. - Jinmei Liu; Zhi Wang 001; Chunlin Chen 001; Daoyi Dong (IEEE Trans. Neural Networks Learn. Syst., 2024)

Joint Projection Learning and Tensor Decomposition-Based Incomplete Multiview Clustering. - Wei Lv; Chao Zhang 078; Huaxiong Li; Xiuyi Jia; Chunlin Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and Reconstruction. - Deng Xu; Chao Zhang 078; Cong Guo 008; Chunlin Chen 001; Huaxiong Li (AAAI, 2025)

Semi-supervised Multi-view Clustering with Active Constraints. - Chao Zhang 078; Deng Xu; Chunlin Chen 001; Huaxiong Li (KDD (1), 2025)

Multi-relational multi-view clustering and its applications in cancer subtype identification. - Chao Zhang 078; Deng Xu; Chunlin Chen 001; Min Zhang; Huaxiong Li (Inf. Fusion, 2025)

Multi-View Clustering With Incremental Instances and Views. - Chao Zhang 078; Zhi Wang 001; Xiuyi Jia; Zechao Li; Chunlin Chen 001; Huaxiong Li (IEEE Trans. Image Process., 2025)

Fast Disentangled Slim Tensor Learning for Multi-View Clustering. - Deng Xu; Chao Zhang 078; Zechao Li; Chunlin Chen 001; Huaxiong Li (IEEE Trans. Multim., 2025)

Quantum-Inspired Reinforcement Learning for Quantum Control. - Haixu Yu; Xudong Zhao 001; Chunlin Chen 001 (IEEE Trans. Control. Syst. Technol., 2025)

A Data-Driven Reinforcement Learning Enabled Battery Fast Charging Optimization Using Real-World Experimental Data. - Jiarui He; Tianyi Yang; Ling Xie; Yikun Yang; Chunlin Chen 001; Jingwen Wei (IEEE Trans. Ind. Electron., 2025)

Label Distribution Guided Hashing for Cross-Modal Retrieval. - Fatang Lei; Chao Zhang 078; Huaxiong Li; Yang Gao 001; Chunlin Chen 001 (ACM Trans. Knowl. Discov. Data, 2025)

Text-to-Decision Agent: Learning Generalist Policies from Natural Language Supervision. - Shilin Zhang; Zican Hu; Wenhao Wu; Xinyi Xie; Jianxiang Tang; Chunlin Chen 001; Daoyi Dong; Yu Cheng; Zhenhong Sun; Zhi Wang 001 (CoRR, 2025)

MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees. - Zichuan Liu; Yuanyang Zhu; Zhi Wang 001; Yang Gao 001; Chunlin Chen 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Scalable In-Context Q-Learning. - Jinmei Liu; Fuhong Liu; Jianye Hao; Bo Wang 027; Huaxiong Li; Chunlin Chen 001; Zhi Wang 001 (CoRR, 2025)

Mixture-of-Experts Meets In-Context Reinforcement Learning. - Wenhao Wu; Fuhong Liu; Haoru Li; Zican Hu; Daoyi Dong; Chunlin Chen 001; Zhi Wang 001 (CoRR, 2025)

Tomography of Quantum States From Structured Measurements via Quantum-Aware Transformer. - Hailan Ma; Zhenhong Sun; Daoyi Dong; Chunlin Chen 001; Herschel Rabitz (IEEE Trans. Cybern., 2025)

Discretizing Continuous Action Space With Unimodal Probability Distributions for On-Policy Reinforcement Learning. - Yuanyang Zhu; Zhi Wang 001; Yuanheng Zhu; Chunlin Chen 001; Dongbin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2025)

Deep Learning-Enabled Fault Diagnosis of Lithium-Ion Batteries Using Real-World Vehicle Data With Gramian Angular Difference Fields. - Ling Xie; Jingwen Wei; Xiaoke Li; Chunlin Chen 001; Haonan Chen; Guangzhong Dong (IEEE Trans. Ind. Informatics, 2025)

User Preference-Adaptive Battery Fast Charging Strategy Considering Temperature Rising Based on Transfer Reinforcement Learning. - Jiarui He; Xueyuan Han; Xinzu Yang; Chunlin Chen 001; Jingwen Wei; Guangzhong Dong (IEEE Trans. Ind. Electron., 2025)