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ORCIDJingchen Li 0003
Person information
- affiliation: Northwestern Polytechnical University, Xi'an, China
Other persons with the same name
- Jingchen Li — disambiguation page
- Jingchen Li 0001
![[0000-0003-3196-7882]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3196-7882")
— Tencent, Shenzhen, Guangdong, China - Jingchen Li 0002 — Hong Kong University of Science and Technology, Hong Kong, SAR, China
- Jingchen Li 0004 — University of Alberta, Edmonton, Canada
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2020 – today
- 2025
[j31]Jing Cheng, Jingchen Li, Haobin Shi, Tao Zhang:
Localizing state space for visual reinforcement learning in noisy environments. Eng. Appl. Artif. Intell. 156: 110998 (2025)- [j30]Jingchen Li, Yusen Yang, Yisheng Miao, Wang Guo, Jingqiu Gu, Hua-Rui Wu:
Intelligent long-term planning with interaction for crop management. Eng. Appl. Artif. Intell. 160: 111506 (2025) - [j29]Shike Yang, Ziming He, Jingchen Li, Haobin Shi, Qingbing Ji, Kao-Shing Hwang, Xianshan Li:
Neighborhood-Curiosity-Based Exploration in Multiagent Reinforcement Learning. IEEE Trans. Cogn. Dev. Syst. 17(2): 379-389 (2025) - [j28]Ziming He, Chao Song, Jingchen Li, Haobin Shi:
PDRL: Towards Deeper States and Further Behaviors in Unsupervised Skill Discovery by Progressive Diversity. IEEE Trans. Cogn. Dev. Syst. 17(3): 495-509 (2025) - [j27]Wenbai Chen, Bo Zhang, Jingchen Li, Xin Zhao, Yiqun Wang, Jianping Gou, Haobin Shi:
U2Net-MGP: A Lightweight and Efficient Visual Perception Algorithm for Consumer Electronic Accessories. IEEE Trans. Consumer Electron. 71(2): 3707-3717 (2025) - [j26]Ziming He, Pengyu Chen, Haobin Shi, Jingchen Li, Kao-Shing Hwang:
Robotic Locomotion Skill Learning Using Unsupervised Reinforcement Learning With Controllable Latent Space Partition. IEEE Trans. Ind. Informatics 21(1): 902-911 (2025) - [j25]Jingchen Li, Haobin Shi, Wenbai Chen, Naijun Liu, Kao-Shing Hwang:
Semi-Supervised Detection Model Based on Adaptive Ensemble Learning for Medical Images. IEEE Trans. Neural Networks Learn. Syst. 36(1): 237-248 (2025) - [j24]Jingchen Li, Haobin Shi, Huarui Wu, Chunjiang Zhao, Kao-Shing Hwang:
Eliminating Primacy Bias in Online Reinforcement Learning by Self-Distillation. IEEE Trans. Neural Networks Learn. Syst. 36(4): 7449-7461 (2025) - 2024
- [j23]Wenbai Chen, Genjian Yang, Bo Zhang, Jingchen Li, Yiqun Wang, Haobin Shi:
Lightweight and fast visual detection method for 3C assembly. Displays 82: 102631 (2024) - [j22]Weiwen Mu, Wenbai Chen, Huaidong Zhou, Naijun Liu, Haobin Shi, Jingchen Li:
Using digital twin to enhance Sim2real transfer for reinforcement learning in 3C assembly. Ind. Robot 51(1): 125-133 (2024) - [j21]Jingchen Li, Yusen Yang, Ziming He, Huarui Wu, Haobin Shi, Wenbai Chen:
Cournot Policy Model: Rethinking centralized training in multi-agent reinforcement learning. Inf. Sci. 677: 120983 (2024) - [j20]Yang Liu, Ying Zhou, Ziming He, Yusen Yang, Qingcen Han, Jingchen Li:
Dynamic preference inference network: Improving sample efficiency for multi-objective reinforcement learning by preference estimation. Knowl. Based Syst. 304: 112512 (2024) - [j19]Xuesi Li, Jingchen Li, Haobin Shi, Kao-Shing Hwang:
A Decentralized Communication Framework Based on Dual-Level Recurrence for Multiagent Reinforcement Learning. IEEE Trans. Cogn. Dev. Syst. 16(2): 640-649 (2024) - [j18]Jingchen Li, Haobin Shi, Kao-Shing Hwang:
Using Goal-Conditioned Reinforcement Learning With Deep Imitation to Control Robot Arm in Flexible Flat Cable Assembly Task. IEEE Trans Autom. Sci. Eng. 21(4): 6217-6228 (2024) - [j17]Ziming He, Jingchen Li, Fan Wu, Haobin Shi, Kao-Shing Hwang:
DeRL: Coupling Decomposition in Action Space for Reinforcement Learning Task. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 1030-1043 (2024) - 2023
- [j16]Xuesi Li, Jingchen Li, Haobin Shi:
A multi-agent reinforcement learning method with curriculum transfer for large-scale dynamic traffic signal control. Appl. Intell. 53(18): 21433-21447 (2023) - [j15]Hengsheng Zhang, Jingchen Li, Ziming He, Jinhui Zhu, Haobin Shi:
Dyna-Validator: A Model-based Reinforcement Learning Method with Validated Simulated Experiences. Int. J. Comput. Commun. Control 18(5) (2023) - [j14]Shike Yang, Jingchen Li, Haobin Shi:
Mix-attention approximation for homogeneous large-scale multi-agent reinforcement learning. Neural Comput. Appl. 35(4): 3143-3154 (2023) - [j13]Haobin Shi, Jingchen Li, Jiahui Mao, Kao-Shing Hwang:
Lateral Transfer Learning for Multiagent Reinforcement Learning. IEEE Trans. Cybern. 53(3): 1699-1711 (2023) - [j12]Haobin Shi, Jingchen Li, Meng Liang, Maxwell Hwang, Kao-Shing Hwang, Yun-Yu Hsu:
Path Planning of Randomly Scattering Waypoints for Wafer Probing Based on Deep Attention Mechanism. IEEE Trans. Syst. Man Cybern. Syst. 53(1): 529-541 (2023) - 2022
- [j11]Lixiang Zhang, Jingchen Li, Yi'an Zhu, Haobin Shi, Kao-Shing Hwang:
Multi-agent reinforcement learning by the actor-critic model with an attention interface. Neurocomputing 471: 275-284 (2022) - [j10]Haobin Shi, Jingchen Li, Shicong Chen, Kao-Shing Hwang:
A behavior fusion method based on inverse reinforcement learning. Inf. Sci. 609: 429-444 (2022) - [j9]Jingchen Li, Fan Wu, Haobin Shi, Kao-Shing Hwang:
A collaboration of multi-agent model using an interactive interface. Inf. Sci. 611: 349-363 (2022) - [j8]Wenbai Chen, Jingchen Li, Haobin Shi, Kao-Shing Hwang:
An adaptive multi-sensor visual attention model. Neural Comput. Appl. 34(9): 7241-7252 (2022) - [j7]Jingchen Li, Haobin Shi, Kao-Shing Hwang:
Using Fuzzy Logic to Learn Abstract Policies in Large-Scale Multiagent Reinforcement Learning. IEEE Trans. Fuzzy Syst. 30(12): 5211-5224 (2022) - [i1]Jingchen Li, Haobin Shi, Kao-Shing Hwang:
A Decentralized Communication Framework based on Dual-Level Recurrence for Multi-Agent Reinforcement Learning. CoRR abs/2202.10612 (2022) - 2021
- [j6]Wenbai Chen, Haobin Shi, Jingchen Li, Kao-Shing Hwang:
A Fuzzy Curiosity-Driven Mechanism for Multi-Agent Reinforcement Learning. Int. J. Fuzzy Syst. 23(5): 1222-1233 (2021) - [j5]Lixiong Leng, Jingchen Li, Jinhui Zhu, Kao-Shing Hwang, Haobin Shi:
Multi-Agent Reward-Iteration Fuzzy Q-Learning. Int. J. Fuzzy Syst. 23(6): 1669-1679 (2021) - [j4]Chunyang Hu, Jingchen Li, Haobin Shi, Bin Ning, Qiong Gu:
Decentralized Offloading Strategies Based on Reinforcement Learning for Multi-Access Edge Computing. Inf. 12(9): 343 (2021) - [j3]Jingchen Li, Haobin Shi, Kao-Shing Hwang:
An explainable ensemble feedforward method with Gaussian convolutional filter. Knowl. Based Syst. 225: 107103 (2021) - [j2]Lixiong Leng, Jingchen Li, Haobin Shi, Yi'an Zhu:
Graph convolutional network-based reinforcement learning for tasks offloading in multi-access edge computing. Multim. Tools Appl. 80(19): 29163-29175 (2021) - [j1]Lixiang Zhang, Peisen Wang, Jingchen Li, Zhiwei Xiao, Haobin Shi:
Attentive Hybrid Recurrent Neural Networks for sequential recommendation. Neural Comput. Appl. 33(17): 11091-11105 (2021) - 2020
- [c1]Jingchen Li, Haobin Shi, Kao-Shing Hwang:
Should Kernels Be Trained in CNN?- a Paradigm of AG-Net. ICSSE 2020: 1-6
Coauthor Index
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last updated on 2025-11-26 01:55 CET by the dblp team
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