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- 2026
[j7]Yanzhou Li
, Shenghuang He, Bangquan Xie, Wenjian Zhong, Yongkang Lu:
Reinforcement Learning Neural Network Observer-Based Adaptive Optimal Time-Varying Formation Control for Uncertain Multi-Agent Systems With External Disturbance. IEEE Trans Autom. Sci. Eng. 23: 10186-10200 (2026)- [j6]Yanzhou Li, Shenghuang He, Bangquan Xie, Wenjian Zhong:
Enhanced Robustness in Simultaneous Fault Estimation and Distributed Fault-Tolerant Consensus Tracking Control for Multiagent Systems Utilizing Extended Observer Approach. IEEE Trans. Syst. Man Cybern. Syst. 56(3): 1721-1735 (2026) - [i1]Guangli Chen, Dianzhao Li, Wenjian Zhong, Bangquan Xie, Ostap Okhrin:
MTA-RL: Robust Urban Driving via Multi-modal Transformer-based 3D Affordances and Reinforcement Learning. CoRR abs/2605.10177 (2026) - 2025
- [j5]Jin Deng, Kaihan Huang, Jinfeng Wang, Wenjian Zhong, Yufang Xu, Wei Kong:
Temporal constrained joint nonnegative matrix factorization for imaging genomic study of early mild cognitive impairment. Neurocomputing 653: 131121 (2025) - [j4]Wenjian Zhong, Yanzhou Li, Yuanqing Wu, Yaoxin Wang:
Flexible job shop scheduling based on learnable graph convolutional attention networks and reinforcement learning. J. Frankl. Inst. 362(14): 107944 (2025) - [j3]Wenjian Zhong, Bangquan Xie, Yanzhou Li, Lucia Cascone, Yongkang Lu, Shenghuang He:
Distributed Deep Reinforcement Learning for Ackermann Multi-Robot Formation: A Weighted Multi-Objective Optimization. IEEE Trans. Consumer Electron. 71(4): 11588-11600 (2025) - [j2]Yuanhe Li, Wenjian Zhong, Yuanqing Wu:
Multi-objective flexible job-shop scheduling via graph attention network and reinforcement learning. J. Supercomput. 81(1): 293 (2025) - 2021
- [j1]Shenghuang He, Yong Xu, Yuanqing Wu, Yanzhou Li, Wenjian Zhong:
Adaptive consensus tracking of multi-robotic systems via using integral sliding mode control. Neurocomputing 455: 154-162 (2021)
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