Legend and Tags

Corresponding author *, Student supervised +

[OC] Reinforcement Learning -- Optimal Control

[RL] Reinforcement Learning -- MDP 

[DL] Deep Learning

[COL] Collaborated work

Journal Papers 

1. Zhou, Z., Duan, D., & Xu, H. (2024). Zero-Trust Zero-Communication Defence against Hybrid Cyberattacks in Distributed Energy Resources Using Mean Field Reinforcement Leaning. Energies, 17(20), 5057. (link) [OC] Higlighted by Energies

2. Pednekar, D. D., Liguori, M. A., Marques, C. N., Zhang, T., Zhang, N., Zhou, Z., ... & Gu, H. (2022). From Static to Dynamic: A Review on the Role of Mucus Heterogeneity in Particle and Microbial Transport. ACS Biomaterials Science & Engineering, 8(7), 2825-2848. [COL]

3. Zhou, Z., & Xu, H. (2021). Decentralized Adaptive Optimal Tracking Control for Massive Autonomous Vehicle Systems With Heterogeneous Dynamics: A Stackelberg Game. IEEE Transactions on Neural Networks and Learning Systems, 32(12), 5654-5663. [OC] 

4. Zhou, Z., & Xu, H.* (2021). Large-Scale Multiagent System Tracking Control Using Mean Field Games. IEEE Transactions on Neural Networks and Learning Systems (in press). [OC] 

5. Zhou, Z., & Xu, H.* (2020). A Novel Mean-Field-Game-Type Optimal Control for Very Large-Scale Multiagent Systems. IEEE Transactions on Cybernetics. [OC]

6. Zhou, Z.*, Xiang, Y., Xu, H., Yi, Z., Shi, D., & Wang, Z. (2020). A Novel Transfer Learning-Based Intelligent Nonintrusive Load-Monitoring With Limited Measurements. IEEE Transactions on Instrumentation and Measurement, 70, 1-8. [DL]

7. Zhou, Z.*, Xiang, Y., Xu, H., Wang, Y., Shi, D., & Wang, Z. (2021). Self-organizing probability neural network-based intelligent non-intrusive load monitoring with applications to low-cost residential measuring devices. Transactions of the Institute of Measurement and Control, 43(3), 635-645. [DL]

8. Zhou Z.*, Xiang, Y., Xu, H., Wang, Y., & Shi, D. Unsupervised Learning for Non-Intrusive Load Monitoring in Smart Grid Based on Spiking Deep Neural Network, Journal of Modern Power Systems and Clean Energy  (in press) [DL]

9. Zhou, Z., & Hao, X.* (2020). Decentralized Optimal Large Scale Multi-Player Pursuit-evasion Strategies: A Mean Field Game Approach with Reinforcement Learning. Neurocomputing. (in press) [OC]

Conference Proceedings:

1. Tasnim, N.+, Faruk, M. O.+, & Zhou, Z. (2024, October). Optimal Dynamic Load Altering Attack on Power Grids via Electrical Vehicle Charging Stations. In 2024 Cyber Awareness and Research Symposium (CARS) (pp. 1-6). IEEE. (link) [OC]  Best paper award

2. Zhou, Z., Qian, L., & Xu, H. (2024, July). Decentralized Multi-agent Reinforcement Learning for Large-scale Mobile Wireless Sensor Network Control Using Mean Field Games. In 2024 33rd International Conference on Computer Communications and Networks (ICCCN) (pp. 1-6). IEEE. [OC]

3. Chen, G., Liu, X., Zhou, Z., Zhou, X., & Wang, H. (2021, October). Bio-Inspired Geomagnetic Underwater Navigation by Multi-Agent Gradient Optimization. In 2021 IEEE International Conference on Unmanned Systems (ICUS) (pp. 724-729). IEEE.  [OC]

4. Zhou, Z., Zhang, Y., & Xu, H. (2021, July). Reinforcement Learning-based Decentralized Optimal Control for Large-Scale Multi-agent System by Using Neural Networks and Discrete-time Mean Field Games. In 2021 International Joint Conference on Neural Networks (IJCNN) (pp. 1-6). IEEE. [OC]

5. Zhou, Z., & Xu, H. (2021, August). Decentralized Optimal Tracking Control for Large-scale Multi-Agent Systems under Complex Environment: A Constrained Mean Field Game with Reinforcement Learning Approach. In 2021 IEEE Conference on Control Technology and Applications (CCTA) (pp. 111-116). IEEE. [OC]

6. Zhou, Z., & Xu, H. (2021, August). Decentralized Optimal Multi-agent System Tracking Control Using Mean Field Games with Heterogeneous Agent. In 2021 IEEE Conference on Control Technology and Applications (CCTA) (pp. 97-102). IEEE. [OC]

7. Zhou, Z., & Xu, H. (2020, July). Mean field game and decentralized intelligent adaptive pursuit evasion strategy for massive multi-agent system under uncertain environment. In 2020 American Control Conference (ACC) (pp. 5382-5387). IEEE. [OC]

8. Zhou, Z., Fadali, M. S., & Xu, H. (2020). Biomimetic Optimal Tracking Control using Mean Field Games and Spiking Neural Networks. IFAC-PapersOnLine, 53(2), 8112-8117.  [OC]

9. Zhou, Z., & Xu, H. (2020, October). Biologically Inspired Decentralized Adaptive Optimal Tracking Control For Large Scale Multi-Agent Systems with Input Constraint. In 2020 IEEE 16th International Conference on Control & Automation (ICCA) (pp. 336-341). IEEE.  [OC]

10. Zhou, Z., & Xu, H. (2018, November). Switching deep reinforcement learning based intelligent online decision making for autonomous systems under uncertain environment. In 2018 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1453-1460). IEEE. [RL]

11. Zhou, Z., & Xu, H. (2019, December). Deep Reinforcement Learning Based Intelligent Decision Making for Two-player Sequential Game with Uncertain Irrational Player. In 2019 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 9-15). IEEE. [RL]

12. Zhou, Z., & Xu, H. (2019, December). Decentralized Adaptive Optimal Control for Massive Multi-agent Systems Using Mean Field Game with Self-Organizing Neural Networks. In 2019 IEEE 58th Conference on Decision and Control (CDC) (pp. 1225-1230). IEEE.  [OC]

13. Zhou, Z., & Xu, H. (2019, December). Decentralized Adaptive Optimal Tracking Control for Massive Multi-agent Systems: An Actor-Critic-Mass Algorithm. In 2019 IEEE 58th Conference on Decision and Control (CDC) (pp. 1231-1236). IEEE.  [OC]

14. Zhou, Z., Qian, L., & Xu, H. (2019, November). Intelligent Decentralized Dynamic Power Allocation in MANET at Tactical Edge based on Mean-Field Game Theory. In MILCOM 2019-2019 IEEE Military Communications Conference (MILCOM) (pp. 604-609). IEEE.  [OC]

15. Zhou, Z., & Xu, H. (2019, December). Decentralized Adaptive Optimal Tracking Control for Massive Multi-Agent Systems with Input Constraint. In 2019 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1-8). IEEE.  [OC]

16. Wu, H. H., Zhou, Z., Feng, M., Yan, Y., Xu, H., & Qian, L. (2019, June). Real-time single object detection on the uav. In 2019 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 1013-1022). IEEE.