Jingchen Li

36 papers Journal 35Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Investigating Primacy Bias in Multiagent Reinforcement Learning: An Empirical Study.
IEEE Trans. Artif. Intell.
Jingchen Li, Yusen Yang, Ziming He, Huarui Wu, Chunjiang Zhao, Kao-Shing Hwang
2026 J jnl
Towards more effective skill discovery in reinforcement learning by incorporating state reachability.
Neural Networks
Yang Liu, Jingchen Li, Huarui Wu, Ying Zhou, Chunjiang Zhao
2025 J jnl
A Large-Scale UAV Swarm Confrontation Method Based on Fuzzy Reinforcement Learning.
Int. J. Fuzzy Syst.
Chunyang Hu, Jingchen Li, Yusen Yang, Qiong Gu, Zhao Wu, Bin Ning
2025 J jnl
Eliminating Primacy Bias in Online Reinforcement Learning by Self-Distillation.
IEEE Trans. Neural Networks Learn. Syst.
Jingchen Li, Haobin Shi, Huarui Wu, Chunjiang Zhao, Kao-Shing Hwang
2025 J jnl
Intelligent long-term planning with interaction for crop management.
Eng. Appl. Artif. Intell.
Jingchen Li, Yusen Yang, Yisheng Miao, Wang Guo, Jingqiu Gu, Hua-Rui Wu
2025 J jnl
Localizing state space for visual reinforcement learning in noisy environments.
Eng. Appl. Artif. Intell.
Jing Cheng, Jingchen Li, Haobin Shi, Tao Zhang
2025 J jnl
Neighborhood-Curiosity-Based Exploration in Multiagent Reinforcement Learning.
IEEE Trans. Cogn. Dev. Syst.
Shike Yang, Ziming He, Jingchen Li, Haobin Shi, Qingbing Ji, Kao-Shing Hwang, Xianshan Li
2025 J jnl
PDRL: Towards Deeper States and Further Behaviors in Unsupervised Skill Discovery by Progressive Diversity.
IEEE Trans. Cogn. Dev. Syst.
Ziming He, Chao Song, Jingchen Li, Haobin Shi
2025 J jnl
Robotic Locomotion Skill Learning Using Unsupervised Reinforcement Learning With Controllable Latent Space Partition.
IEEE Trans. Ind. Informatics
Ziming He, Pengyu Chen, Haobin Shi, Jingchen Li, Kao-Shing Hwang
2025 J jnl
Semi-Supervised Detection Model Based on Adaptive Ensemble Learning for Medical Images.
IEEE Trans. Neural Networks Learn. Syst.
Jingchen Li, Haobin Shi, Wenbai Chen, Naijun Liu, Kao-Shing Hwang
2025 J jnl
U
IEEE Trans. Consumer Electron.
Wenbai Chen, Bo Zhang, Jingchen Li, Xin Zhao, Yiqun Wang, Jianping Gou, Haobin Shi
2024 J jnl
A Decentralized Communication Framework Based on Dual-Level Recurrence for Multiagent Reinforcement Learning.
IEEE Trans. Cogn. Dev. Syst.
Xuesi Li, Jingchen Li, Haobin Shi, Kao-Shing Hwang
2024 J jnl
Cournot Policy Model: Rethinking centralized training in multi-agent reinforcement learning.
Inf. Sci.
Jingchen Li, Yusen Yang, Ziming He, Huarui Wu, Haobin Shi, Wenbai Chen
2024 J jnl
DeRL: Coupling Decomposition in Action Space for Reinforcement Learning Task.
IEEE Trans. Emerg. Top. Comput. Intell.
Ziming He, Jingchen Li, Fan Wu, Haobin Shi, Kao-Shing Hwang
2024 J jnl
Dynamic preference inference network: Improving sample efficiency for multi-objective reinforcement learning by preference estimation.
Knowl. Based Syst.
Yang Liu, Ying Zhou, Ziming He, Yusen Yang, Qingcen Han, Jingchen Li
2024 J jnl
Lightweight and fast visual detection method for 3C assembly.
Displays
Wenbai Chen, Genjian Yang, Bo Zhang, Jingchen Li, Yiqun Wang, Haobin Shi
2024 J jnl
Using Goal-Conditioned Reinforcement Learning With Deep Imitation to Control Robot Arm in Flexible Flat Cable Assembly Task.
IEEE Trans Autom. Sci. Eng.
Jingchen Li, Haobin Shi, Kao-Shing Hwang
2024 J jnl
Using digital twin to enhance Sim2real transfer for reinforcement learning in 3C assembly.
Ind. Robot
Weiwen Mu, Wenbai Chen, Huaidong Zhou, Naijun Liu, Haobin Shi, Jingchen Li
2023 J jnl
A multi-agent reinforcement learning method with curriculum transfer for large-scale dynamic traffic signal control.
Appl. Intell.
Xuesi Li, Jingchen Li, Haobin Shi
2023 J jnl
Dyna-Validator: A Model-based Reinforcement Learning Method with Validated Simulated Experiences.
Int. J. Comput. Commun. Control
Hengsheng Zhang, Jingchen Li, Ziming He, Jinhui Zhu, Haobin Shi
2023 J jnl
Lateral Transfer Learning for Multiagent Reinforcement Learning.
IEEE Trans. Cybern.
Haobin Shi, Jingchen Li, Jiahui Mao, Kao-Shing Hwang
2023 J jnl
Mix-attention approximation for homogeneous large-scale multi-agent reinforcement learning.
Neural Comput. Appl.
Shike Yang, Jingchen Li, Haobin Shi
2023 J jnl
Path Planning of Randomly Scattering Waypoints for Wafer Probing Based on Deep Attention Mechanism.
IEEE Trans. Syst. Man Cybern. Syst.
Haobin Shi, Jingchen Li, Meng Liang, Maxwell Hwang, Kao-Shing Hwang, Yun-Yu Hsu
2022 J jnl
A Decentralized Communication Framework based on Dual-Level Recurrence for Multi-Agent Reinforcement Learning.
CoRR
Jingchen Li, Haobin Shi, Kao-Shing Hwang
2022 J jnl
A behavior fusion method based on inverse reinforcement learning.
Inf. Sci.
Haobin Shi, Jingchen Li, Shicong Chen, Kao-Shing Hwang
2022 J jnl
A collaboration of multi-agent model using an interactive interface.
Inf. Sci.
Jingchen Li, Fan Wu, Haobin Shi, Kao-Shing Hwang
2022 J jnl
An adaptive multi-sensor visual attention model.
Neural Comput. Appl.
Wenbai Chen, Jingchen Li, Haobin Shi, Kao-Shing Hwang
2022 J jnl
Multi-agent reinforcement learning by the actor-critic model with an attention interface.
Neurocomputing
Lixiang Zhang, Jingchen Li, Yi'an Zhu, Haobin Shi, Kao-Shing Hwang
2022 J jnl
Using Fuzzy Logic to Learn Abstract Policies in Large-Scale Multiagent Reinforcement Learning.
IEEE Trans. Fuzzy Syst.
Jingchen Li, Haobin Shi, Kao-Shing Hwang
2021 J jnl
A Fuzzy Curiosity-Driven Mechanism for Multi-Agent Reinforcement Learning.
Int. J. Fuzzy Syst.
Wenbai Chen, Haobin Shi, Jingchen Li, Kao-Shing Hwang
2021 J jnl
An explainable ensemble feedforward method with Gaussian convolutional filter.
Knowl. Based Syst.
Jingchen Li, Haobin Shi, Kao-Shing Hwang
2021 J jnl
Attentive Hybrid Recurrent Neural Networks for sequential recommendation.
Neural Comput. Appl.
Lixiang Zhang, Peisen Wang, Jingchen Li, Zhiwei Xiao, Haobin Shi
2021 J jnl
Decentralized Offloading Strategies Based on Reinforcement Learning for Multi-Access Edge Computing.
Inf.
Chunyang Hu, Jingchen Li, Haobin Shi, Bin Ning, Qiong Gu
2021 J jnl
Graph convolutional network-based reinforcement learning for tasks offloading in multi-access edge computing.
Multim. Tools Appl.
Lixiong Leng, Jingchen Li, Haobin Shi, Yi'an Zhu
2021 J jnl
Multi-Agent Reward-Iteration Fuzzy Q-Learning.
Int. J. Fuzzy Syst.
Lixiong Leng, Jingchen Li, Jinhui Zhu, Kao-Shing Hwang, Haobin Shi
2020 — conf
Should Kernels Be Trained in CNN?- a Paradigm of AG-Net.
ICSSE
Jingchen Li, Haobin Shi, Kao-Shing Hwang