刘潇(Liu Xiao)

刘潇(Liu Xiao)

湘潭大学自动化与电子信息学院

About me

Hi, I am Xiao. I received my Ph.D. degree in Computer Science from Nanjing University in 2019 and 2023. Currently, I am a lecturer in the School of Automation and Electronic Information at Xiangtan University.

Our research interests lie broadly in reinforcement learning and explainable artificial intelligence.

Courses

  • 《Python编程与实践》
  • 《多智能体系统》

Publications

  • Yongxin Su, Mengyao Xu, Xiao Liu, Mao Tan, Rui Wang, Chunhua Yang. Explainable reinforcement learning for enhancing personal thermal comfort and optimizing demand response in household multi-zone HVAC system. Science China. 2025. https://doi.org/10.1007/s11431-024-2895-7.
  • Mao Tan, Jie Zhao, Xiao Liu*, Yongxin Su, Ling Wang, Rui Wang, Zhuocen Dai, Federated Reinforcement Learning for smart and privacy-preserving energy management of residential microgrids clusters, Engineering Applications of Artificial Intelligence, Volume 139, Part B, 2025, 109579, ISSN 0952-1976, https://doi.org/10.1016/j.engappai.2024.109579.
  • Li H, Zhu C, Liu X, et al. Hybrid binarized neural network for high-accuracy classification of power quality disturbances[J]. Electrical Engineering, 2024: 1-11. https://doi.org/10.1007/s00202-024-02650-y.
  • 曹宏业, 刘潇, 董绍康, 杨尚东, 霍静, 李文斌, 高阳*. 面向强化学习的可解释性研究综述. 计算机学报, Vol. 47 No. 8. 2024. http://cjc.ict.ac.cn/online/onlinepaper/chy-2024729180508.pdf
  • Wubing Chen, Shangdong Yang, Wenbin Li, Yujing Hu, Xiao Liu, Yang Gao*. Learning Multi-Intersection Traffic Signal Control via Coevolutionary Multi-Agent Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems, 2024. https://ieeexplore.ieee.org/abstract/document/10556581
  • Xiao Liu, Shuyang Liu, Bo An, Yang Gao*, Wenbin Li. Effective Interpretable Policy Distillation via Critical Experience Point Identification. IEEE Intelligent Systems. Vol. 38, Issue: 5, Sept.-Oct. 2023. https://doi.org/10.1109/MIS.2023.3265868
  • 刘潇,刘书洋,庄韫恺,高阳*. 强化学习可解释性基础问题探索和方法综述. 软件学报. 2023, 34(5): 2300-2316. https://doi.org/10.13328/j.cnki.jos.006485
  • Wubing Chen, Wenbin Li, Xiao Liu, Gao Yang*. Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient, Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 37 No. 10: Technical Tracks 10. 2023. https://doi.org/10.1609/aaai.v37i10.26364
  • Xiao Liu, Wenbin Li, Jing Huo, Lili Yao, Yang Gao*. Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio. Proceedings of the AAAI Conference on Artificial Intelligence. 34(04): 4900-4907. 2020. https://doi.org/10.1609/aaai.v34i04.5927

Grants

  • 国家自然科学基金青年项目，62406272，多智能体强化学习的部署安全性验证方法，2025.1-2027.12，主持
  • 湖南省自然科学基金青年项目，2024JJ6438，深度强化学习可解释策略简化与规则提取研究，2025.1-2027.12，主持