Chunlin Chen

Orcid: 0000-0003-3929-4707

Affiliations:
  • Nanjing University, School of Management and Engineering, China
  • University of Science and Technology of China, Department of Automation, Hefei, China (PhD 2006)


According to our database1, Chunlin Chen authored at least 145 papers between 2005 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Memory-Based Deep Reinforcement Learning for Quantum Control With Partial Observations.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2026

GCM: Interpretable Multiagent Reinforcement Learning via Graph Cooperation Modeling.
IEEE Trans. Neural Networks Learn. Syst., April, 2026

Nonconvex Regularization for Markov Decision Processes: Modeling and Algorithms.
IEEE Trans. Autom. Control., March, 2026

Beyond the Dirac Delta: Mitigating Diversity Collapse in Reinforcement Fine-Tuning for Versatile Image Generation.
CoRR, January, 2026

Diverse embeddings and consensus pseudo-supervision learning for unsupervised feature selection.
Inf. Sci., 2026

Conditional Diffusion Model for Multi-Agent Dynamic Task Decomposition.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Semantic-Augmented Image Clustering via Adaptive Multi-Modal Collaboration.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Semantic-Aware Feature Enhancement for Partial Label Learning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Online Cross-Modal Hashing with Expanding Label Space.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
User Preference-Adaptive Battery Fast Charging Strategy Considering Temperature Rising Based on Transfer Reinforcement Learning.
IEEE Trans. Ind. Electron., October, 2025

Deep Learning-Enabled Fault Diagnosis of Lithium-Ion Batteries Using Real-World Vehicle Data With Gramian Angular Difference Fields.
IEEE Trans. Ind. Informatics, July, 2025

Concept Learning for Cooperative Multi-Agent Reinforcement Learning.
CoRR, July, 2025

Discretizing Continuous Action Space With Unimodal Probability Distributions for On-Policy Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., June, 2025

Tomography of Quantum States From Structured Measurements via Quantum-Aware Transformer.
IEEE Trans. Cybern., June, 2025

Mixture-of-Experts Meets In-Context Reinforcement Learning.
CoRR, June, 2025

Scalable In-Context Q-Learning.
CoRR, June, 2025

MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

Learning Diverse Natural Behaviors for Enhancing the Agility of Quadrupedal Robots.
CoRR, May, 2025

Text-to-Decision Agent: Learning Generalist Policies from Natural Language Supervision.
CoRR, April, 2025

Label Distribution Guided Hashing for Cross-Modal Retrieval.
ACM Trans. Knowl. Discov. Data, January, 2025

A Data-Driven Reinforcement Learning Enabled Battery Fast Charging Optimization Using Real-World Experimental Data.
IEEE Trans. Ind. Electron., January, 2025

Quantum-Inspired Reinforcement Learning for Quantum Control.
IEEE Trans. Control. Syst. Technol., January, 2025

Fast Disentangled Slim Tensor Learning for Multi-View Clustering.
IEEE Trans. Multim., 2025

Multi-View Clustering With Incremental Instances and Views.
IEEE Trans. Image Process., 2025

Multi-relational multi-view clustering and its applications in cancer subtype identification.
Inf. Fusion, 2025

Charging Scheduling Optimization of Electric Buses Considering Battery Degradation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Imitation Learning with Process Adversarial Diffusion.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Constrained Policy Optimization with Approximately Monotonically Increasing Rewards.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Text-to-Decision Agent: Offline Meta-Reinforcement Learning from Natural Language Supervision.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

High-order Interactions Modeling for Interpretable Multi-Agent Q-Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

DEAL: Diffusion Evolution Adversarial Learning for Sim-to-Real Transfer.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Online Cross-Modal Hashing with Multi-Level Memory.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Semi-supervised Multi-view Clustering with Active Constraints.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

A Probabilistic Scheme for Lifetime Prognostics of Lithium-Ion Batteries Using Stochastic Modeling and Approximated Monte-Carlo Filter.
Proceedings of the 2025 International Conference on Networking, 2025

PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and Reconstruction.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Joint Projection Learning and Tensor Decomposition-Based Incomplete Multiview Clustering.
IEEE Trans. Neural Networks Learn. Syst., December, 2024

Efficient Bayesian Policy Reuse With a Scalable Observation Model in Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Hamiltonian Identification via Quantum Ensemble Classification.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

Hierarchical Multicontact Motion Planning of Hexapod Robots With Incremental Reinforcement Learning.
IEEE Trans. Cogn. Dev. Syst., August, 2024

Low-Rank Tensor Regularized Views Recovery for Incomplete Multiview Clustering.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Incremental Reinforcement Learning via Performance Evaluation and Policy Perturbation.
IEEE Trans. Artif. Intell., May, 2024

Balancing Awareness Fast Charging Control for Lithium-Ion Battery Pack Using Deep Reinforcement Learning.
IEEE Trans. Ind. Electron., April, 2024

Learning latent disentangled embeddings and graphs for multi-view clustering.
Pattern Recognit., 2024

Multi-level graph regularized robust multi-modal feature selection for Alzheimer's disease classification.
Knowl. Based Syst., 2024

Self-paced semi-supervised feature selection with application to multi-modal Alzheimer's disease classification.
Inf. Fusion, 2024

Dynamic Capacitated Vehicle Routing Problem with Stochastic Requests Using Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Quantum Robust Control for Time-Varying Noises Based on Adversarial Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

EASI: Evolutionary Adversarial Simulator Identification for Sim-to-Real Transfer.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Transparent Projection Networks for Interpretable Image Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2024

Continual Multi-View Clustering with Consistent Anchor Guidance.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multi-agent Reinforcement Learning with Hybrid Action Space for Free Gait Motion Planning of Hexapod Robots.
Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

Learning Cluster-Wise Anchors for Multi-View Clustering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning.
IEEE Trans. Cybern., December, 2023

Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning.
IEEE CAA J. Autom. Sinica, December, 2023

Curriculum-Based Deep Reinforcement Learning for Quantum Control.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Hierarchical Free Gait Motion Planning for Hexapod Robots Using Deep Reinforcement Learning.
IEEE Trans. Ind. Informatics, November, 2023

Two-step robust control design of quantum gates via differential evolution.
J. Frankl. Inst., November, 2023

Sparse spatial transformers for few-shot learning.
Sci. China Inf. Sci., November, 2023

Extracting Decision Tree From Trained Deep Reinforcement Learning in Traffic Signal Control.
IEEE Trans. Comput. Soc. Syst., August, 2023

Rolling horizon wind-thermal unit commitment optimization based on deep reinforcement learning.
Appl. Intell., August, 2023

A robust mixed error coding method based on nonconvex sparse representation.
Inf. Sci., July, 2023

Weakly-Supervised Enhanced Semantic-Aware Hashing for Cross-Modal Retrieval.
IEEE Trans. Knowl. Data Eng., June, 2023

Multi-Level Cascade Sparse Representation Learning for Small Data Classification.
IEEE Trans. Circuits Syst. Video Technol., May, 2023

Continual portfolio selection in dynamic environments via incremental reinforcement learning.
Int. J. Mach. Learn. Cybern., January, 2023

Adaptive Marginalized Semantic Hashing for Unpaired Cross-Modal Retrieval.
IEEE Trans. Multim., 2023

Adaptive Label Correlation Based Asymmetric Discrete Hashing for Cross-Modal Retrieval.
IEEE Trans. Knowl. Data Eng., 2023

Global Sensitivity Analysis for Impedance Spectrum Identification of Lithium-Ion Batteries Using Time-Domain Response.
IEEE Trans. Ind. Electron., 2023

Joint Projection Learning and Tensor Decomposition Based Incomplete Multi-view Clustering.
CoRR, 2023

Boosting Value Decomposition via Unit-Wise Attentive State Representation for Cooperative Multi-Agent Reinforcement Learning.
CoRR, 2023

Attention-Based Transformer Networks for Quantum State Tomography.
CoRR, 2023

On compression rate of quantum autoencoders: Control design, numerical and experimental realization.
Autom., 2023

Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust Spectral Embedding Completion Based Incomplete Multi-view Clustering.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

NA<sup>2</sup>Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning.
Proceedings of the International Conference on Machine Learning, 2023

Model-Aware Contrastive Learning: Towards Escaping the Dilemmas.
Proceedings of the International Conference on Machine Learning, 2023

BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Perspective-Corrected Spatial Referring Expression Generation for Human-Robot Interaction.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Locality-Constrained Discriminative Matrix Regression for Robust Face Identification.
IEEE Trans. Neural Networks Learn. Syst., 2022

Lifelong Incremental Reinforcement Learning With Online Bayesian Inference.
IEEE Trans. Neural Networks Learn. Syst., 2022

Deep Reinforcement Learning With Quantum-Inspired Experience Replay.
IEEE Trans. Cybern., 2022

Shaping Visual Representations With Attributes for Few-Shot Recognition.
IEEE Signal Process. Lett., 2022

Enhanced Group Sparse Regularized Nonconvex Regression for Face Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees.
CoRR, 2022

Model-Aware Contrastive Learning: Towards Escaping Uniformity-Tolerance Dilemma in Training.
CoRR, 2022

Multi-Scale Adaptive Task Attention Network for Few-Shot Learning.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Multi-level Metric Learning for Few-Shot Image Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Deep Reinforcement Learning for Control Design of Quantum Gates.
Proceedings of the 13th Asian Control Conference, 2022

2021
Pairwise Relations Oriented Discriminative Regression.
IEEE Trans. Circuits Syst. Video Technol., 2021

Nonnegative representation based discriminant projection for face recognition.
Int. J. Mach. Learn. Cybern., 2021

Shaping Visual Representations with Attributes for Few-Shot Learning.
CoRR, 2021

Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction.
CoRR, 2021

Hierarchical Representation based Query-Specific Prototypical Network for Few-Shot Image Classification.
CoRR, 2021

Local Mutual Metric Network for Few-Shot Image Classification.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Deep Reinforcement Learning for Multi-contact Motion Planning of Hexapod Robots.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Reducing Differences Between Real and Realistic Samples to Improve GANs.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021

2020
Incremental Reinforcement Learning in Continuous Spaces via Policy Relaxation and Importance Weighting.
IEEE Trans. Neural Networks Learn. Syst., 2020

Reinforcement Learning-Based Optimal Sensor Placement for Spatiotemporal Modeling.
IEEE Trans. Cybern., 2020

Learning-Based Quantum Robust Control: Algorithm, Applications, and Experiments.
IEEE Trans. Cybern., 2020

IEDQN: Information Exchange DQN with a Centralized Coordinator for Traffic Signal Control.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Multi-resolution Cascaded Network with Depth-similar Residual Module for Real-time Semantic Segmentation on RGB-D Images.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

Preference Modeling of Spatial Description in Human-Robot Interaction.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

Density Evaluation based on Convolutional Networks in Rape Images.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

2019
Ultrafast-pulse generation using inhomogeneous laser fields and performance analysis.
Proceedings of the 16th IEEE International Conference on Networking, Sensing and Control, 2019

2018
Self-Paced Prioritized Curriculum Learning With Coverage Penalty in Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018

A novel hierarchical regression approach for human facial age estimation based on deep forest.
Proceedings of the 15th IEEE International Conference on Networking, Sensing and Control, 2018

2017
Quantum Ensemble Classification: A Sampling-Based Learning Control Approach.
IEEE Trans. Neural Networks Learn. Syst., 2017

Multiagent Reinforcement Learning With Sparse Interactions by Negotiation and Knowledge Transfer.
IEEE Trans. Cybern., 2017

Robust Learning Control Design for Quantum Unitary Transformations.
IEEE Trans. Cybern., 2017

Differential Evolution for Quantum Robust Control: Algorithm, Applications and Experiments.
CoRR, 2017

2015
Sampling-Based Learning Control for Quantum Systems With Uncertainties.
IEEE Trans. Control. Syst. Technol., 2015

Multi-agent Reinforcement Learning with Sparse Interactions by Negotiation and Knowledge Transfer.
CoRR, 2015

Robust Quantum Operation for Two-Level Systems Using Sampling-Based Learning Control.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

A Selective Harmonic Optimization Method for STATCOM in Steady State Based on the Sliding DFT.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Differential Evolution with Equally-Mixed Strategies for Robust Control of Open Quantum Systems.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Ensemble control of open quantum systems using differential evolution.
Proceedings of the 10th Asian Control Conference, 2015

2014
Fidelity-Based Probabilistic Q-Learning for Control of Quantum Systems.
IEEE Trans. Neural Networks Learn. Syst., 2014

Coordinated standoff tracking of moving targets using differential geometry.
J. Zhejiang Univ. Sci. C, 2014

Further results on sampled-data design for robust control of a single qubit.
Int. J. Control, 2014

Sampling-based learning control for quantum discrimination and ensemble classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Robust entanglement control between two atoms in a cavity using sampling-based learning control.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Notes on Sampled-Data Design for Robust Control of a Single Qubit.
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013

Sampling-based learning control for quantum systems with hamiltonian uncertainties.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Sampling-based learning control of quantum systems with bounded inputs and uncertainties via path planning.
Proceedings of the 2013 Australian Control Conference, Fremantle, WA, 2013

2012
Probabilistic Fuzzy System for Uncertain Localization and Map Building of Mobile Robots.
IEEE Trans. Instrum. Meas., 2012

Control Design of Uncertain Quantum Systems With Fuzzy Estimators.
IEEE Trans. Fuzzy Syst., 2012

Dynamics of genetic regulatory networks with delays.
Proceedings of 9th IEEE International Conference on Networking, Sensing and Control, 2012

Quantum parallelization of hierarchical Q-learning for global navigation of mobile robots.
Proceedings of 9th IEEE International Conference on Networking, Sensing and Control, 2012

2011
Hybrid MDP based integrated hierarchical Q-learning.
Sci. China Inf. Sci., 2011

2010
Quantum-inspired reinforcement learning for decision-making of Markovian state transition.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010

2009
Partial feedback control of quantum systems using probabilistic fuzzy estimator.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Quantum Intelligent Mobile System.
Proceedings of the Quantum Inspired Intelligent Systems, 2008

Incoherent Control of Quantum Systems With Wavefunction-Controllable Subspaces via Quantum Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Quantum Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Hybrid Control for Robot Navigation - A Hierarchical Q-Learning Algorithm.
IEEE Robotics Autom. Mag., 2008

A Quantum-inspired Q-learning Algorithm for Indoor Robot Navigation.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

2006
Quantum robot: structure, algorithms and applications.
Robotica, 2006

2005
Quantum Reinforcement Learning.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

An Autonomous Mobile Robot Based on Quantum Algorithm.
Proceedings of the Computational Intelligence and Security, International Conference, 2005


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