Jueming Hu

Jueming Hu

Assistant Professor of Aerospace Engineering

Selected Publications

You can find my papers on my Google Scholar.

Journal papers

  1. Reinforcement Learning Driven Integrated Detection and Mitigation of UAV GPS Spoofing Attacks
    [Link]
    Jueming Hu, Mohammad Ammar, Bilal Zahid Hussain, Jaewon Kim, and Irfan Khan. “Reinforcement Learning Driven Integrated Detection and Mitigation of UAV GPS Spoofing Attacks.” IEEE Internet of Things Journal (2025).

  2. Reinforcement Learning with Predefined and Inferred Reward Machines in Stochastic Games
    [Link]
    Jueming Hu, Yash Paliwal, Hyohun Kim, Yanze Wang, and Zhe Xu. Reinforcement learning with predefined and inferred reward machines in stochastic games. Neurocomputing 599 (2024): 128170.

  3. Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines
    [Link]
    Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, and Yongming Liu. “Decentralized graph-based multi-agent reinforcement learning using reward machines.” Neurocomputing 564 (2024): 126974.

  4. Knowledge-Enhanced Reinforcement Learning for Multi-Machine Integrated Production and Maintenance Scheduling
    [Link]
    Jueming Hu, Haiyan Wang, Hsiu-Khuern Tang, Takuya Kanazawa, Chetan Gupta, and Ahmed Farahat. “Knowledge-enhanced reinforcement learning for multi-machine integrated production and maintenance scheduling.” Computers & Industrial Engineering 185 (2023): 109631.

  5. Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning
    [Link]
    Jueming Hu, Xuxi Yang, Weichang Wang, Peng Wei, Lei Ying, and Yongming Liu. “Obstacle avoidance for uas in continuous action space using deep reinforcement learning.” IEEE Access 10 (2022): 90623-90634.

  6. Optimal Maintenance Scheduling Under Uncertainties Using Linear Programming-Enhanced Reinforcement Learning
    [Link]
    Jueming Hu, Yuhao Wang, Yutian Pang, and Yongming Liu. “Optimal maintenance scheduling under uncertainties using Linear Programming-enhanced Reinforcement Learning.” Engineering Applications of Artificial Intelligence 109 (2022): 104655.

  7. Probabilistic Risk-Based Operational Safety Bound for Rotary-Wing Unmanned Aircraft Systems Traffic Management
    [Link]
    Jueming Hu, Heinz Erzberger, Kai Goebel, and Yongming Liu. “Probabilistic risk-based operational safety bound for rotary-wing unmanned aircraft systems traffic management.” Journal of Aerospace Information Systems 17, no. 3 (2020): 171-181.

Conference papers

  1. Reinforcement Learning With Reward Machines in Stochastic Games
    [Link]
    Jueming Hu, Jean-Raphaël Gaglione, Yanze Wang, Zhe Xu, Ufuk Topcu, and Yongming Liu. “Reinforcement learning with reward machines in stochastic games.” In ECAI 2023, pp. 1068-1075. IOS Press, 2023. (Acceptance rate 24%)