Should Kernels Be Trained in CNN?- a Paradigm of AG-Net. - Jingchen Li 003; Haobin Shi; Kao-Shing Hwang (ICSSE, 2020)

A Fuzzy Curiosity-Driven Mechanism for Multi-Agent Reinforcement Learning. - Wenbai Chen; Haobin Shi; Jingchen Li 003; Kao-Shing Hwang (Int. J. Fuzzy Syst., 2021)

Multi-Agent Reward-Iteration Fuzzy Q-Learning. - Lixiong Leng; Jingchen Li 003; Jinhui Zhu; Kao-Shing Hwang; Haobin Shi (Int. J. Fuzzy Syst., 2021)

Decentralized Offloading Strategies Based on Reinforcement Learning for Multi-Access Edge Computing. - Chunyang Hu; Jingchen Li 003; Haobin Shi; Bin Ning; Qiong Gu (Inf., 2021)

An explainable ensemble feedforward method with Gaussian convolutional filter. - Jingchen Li 003; Haobin Shi; Kao-Shing Hwang (Knowl. Based Syst., 2021)

Graph convolutional network-based reinforcement learning for tasks offloading in multi-access edge computing. - Lixiong Leng; Jingchen Li 003; Haobin Shi; Yi'an Zhu (Multim. Tools Appl., 2021)

Attentive Hybrid Recurrent Neural Networks for sequential recommendation. - Lixiang Zhang; Peisen Wang; Jingchen Li 003; Zhiwei Xiao; Haobin Shi (Neural Comput. Appl., 2021)

A Decentralized Communication Framework based on Dual-Level Recurrence for Multi-Agent Reinforcement Learning. - Jingchen Li 003; Haobin Shi; Kao-Shing Hwang (CoRR, 2022)

Multi-agent reinforcement learning by the actor-critic model with an attention interface. - Lixiang Zhang; Jingchen Li 003; Yi'an Zhu; Haobin Shi; Kao-Shing Hwang (Neurocomputing, 2022)

A collaboration of multi-agent model using an interactive interface. - Jingchen Li 003; Fan Wu; Haobin Shi; Kao-Shing Hwang (Inf. Sci., 2022)

A behavior fusion method based on inverse reinforcement learning. - Haobin Shi; Jingchen Li 003; Shicong Chen; Kao-Shing Hwang (Inf. Sci., 2022)

An adaptive multi-sensor visual attention model. - Wenbai Chen; Jingchen Li 003; Haobin Shi; Kao-Shing Hwang (Neural Comput. Appl., 2022)

Using Fuzzy Logic to Learn Abstract Policies in Large-Scale Multiagent Reinforcement Learning. - Jingchen Li 003; Haobin Shi; Kao-Shing Hwang (IEEE Trans. Fuzzy Syst., 2022)

Path Planning of Randomly Scattering Waypoints for Wafer Probing Based on Deep Attention Mechanism. - Haobin Shi; Jingchen Li 003; Meng Liang; Maxwell Hwang; Kao-Shing Hwang; Yun-Yu Hsu (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Mix-attention approximation for homogeneous large-scale multi-agent reinforcement learning. - Shike Yang; Jingchen Li 003; Haobin Shi (Neural Comput. Appl., 2023)

Lateral Transfer Learning for Multiagent Reinforcement Learning. - Haobin Shi; Jingchen Li 003; Jiahui Mao; Kao-Shing Hwang (IEEE Trans. Cybern., 2023)

Dyna-Validator: A Model-based Reinforcement Learning Method with Validated Simulated Experiences. - Hengsheng Zhang; Jingchen Li 003; Ziming He; Jinhui Zhu; Haobin Shi (Int. J. Comput. Commun. Control, 2023)

A multi-agent reinforcement learning method with curriculum transfer for large-scale dynamic traffic signal control. - Xuesi Li; Jingchen Li 003; Haobin Shi (Appl. Intell., 2023)

Lightweight and fast visual detection method for 3C assembly. - Wenbai Chen; Genjian Yang; Bo Zhang; Jingchen Li 003; Yiqun Wang; Haobin Shi (Displays, 2024)

Using digital twin to enhance Sim2real transfer for reinforcement learning in 3C assembly. - Weiwen Mu; Wenbai Chen; Huaidong Zhou; Naijun Liu; Haobin Shi; Jingchen Li 003 (Ind. Robot, 2024)

Cournot Policy Model: Rethinking centralized training in multi-agent reinforcement learning. - Jingchen Li 003; Yusen Yang; Ziming He; Huarui Wu 001; Haobin Shi; Wenbai Chen (Inf. Sci., 2024)

Dynamic preference inference network: Improving sample efficiency for multi-objective reinforcement learning by preference estimation. - Yang Liu 195; Ying Zhou; Ziming He; Yusen Yang; Qingcen Han; Jingchen Li 003 (Knowl. Based Syst., 2024)

DeRL: Coupling Decomposition in Action Space for Reinforcement Learning Task. - Ziming He; Jingchen Li 003; Fan Wu; Haobin Shi; Kao-Shing Hwang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A Decentralized Communication Framework Based on Dual-Level Recurrence for Multiagent Reinforcement Learning. - Xuesi Li; Jingchen Li 003; Haobin Shi; Kao-Shing Hwang (IEEE Trans. Cogn. Dev. Syst., 2024)

Using Goal-Conditioned Reinforcement Learning With Deep Imitation to Control Robot Arm in Flexible Flat Cable Assembly Task. - Jingchen Li 003; Haobin Shi; Kao-Shing Hwang (IEEE Trans Autom. Sci. Eng., 2024)

Localizing state space for visual reinforcement learning in noisy environments. - Jing Cheng; Jingchen Li 003; Haobin Shi; Tao Zhang (Eng. Appl. Artif. Intell., 2025)

Intelligent long-term planning with interaction for crop management. - Jingchen Li 003; Yusen Yang; Yisheng Miao; Wang Guo; Jingqiu Gu; Hua-Rui Wu 001 (Eng. Appl. Artif. Intell., 2025)

Robotic Locomotion Skill Learning Using Unsupervised Reinforcement Learning With Controllable Latent Space Partition. - Ziming He; Pengyu Chen; Haobin Shi; Jingchen Li 003; Kao-Shing Hwang (IEEE Trans. Ind. Informatics, 2025)

Semi-Supervised Detection Model Based on Adaptive Ensemble Learning for Medical Images. - Jingchen Li 003; Haobin Shi; Wenbai Chen; Naijun Liu; Kao-Shing Hwang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Neighborhood-Curiosity-Based Exploration in Multiagent Reinforcement Learning. - Shike Yang; Ziming He; Jingchen Li 003; Haobin Shi; Qingbing Ji; Kao-Shing Hwang; Xianshan Li (IEEE Trans. Cogn. Dev. Syst., 2025)

Eliminating Primacy Bias in Online Reinforcement Learning by Self-Distillation. - Jingchen Li 003; Haobin Shi; Huarui Wu 001; Chunjiang Zhao 001; Kao-Shing Hwang (IEEE Trans. Neural Networks Learn. Syst., 2025)

U2Net-MGP: A Lightweight and Efficient Visual Perception Algorithm for Consumer Electronic Accessories. - Wenbai Chen; Bo Zhang; Jingchen Li 003; Xin Zhao; Yiqun Wang; Jianping Gou; Haobin Shi (IEEE Trans. Consumer Electron., 2025)

PDRL: Towards Deeper States and Further Behaviors in Unsupervised Skill Discovery by Progressive Diversity. - Ziming He; Chao Song; Jingchen Li 003; Haobin Shi (IEEE Trans. Cogn. Dev. Syst., 2025)