Jueming Hu

According to our database, Jueming Hu authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Reinforcement-Learning-Driven Integrated Detection and Mitigation of UAV GPS Spoofing Attacks.

Jueming Hu, Mohammad Ammar, Bilal Zahid Hussain, Jaewon Kim, Irfan Khan

IEEE Internet Things J., September, 2025

Deep Reinforcement Learning for USV Navigation in Dynamic Ocean Environments.

Ashwin Devanga, Tingjun Lei, Jueming Hu, Chaomin Luo, Sicong Shao

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2025

2024

Decentralized graph-based multi-agent reinforcement learning using reward machines.

Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu

Neurocomputing, January, 2024

2023

Knowledge-enhanced reinforcement learning for multi-machine integrated production and maintenance scheduling.

Jueming Hu, Haiyan Wang, Hsiu-Khuern Tang, Takuya Kanazawa, Chetan Gupta, Ahmed K. Farahat

Comput. Ind. Eng., November, 2023

Air traffic controller workload level prediction using conformalized dynamical graph learning.

Yutian Pang, Jueming Hu, Christopher S. Lieber, Nancy J. Cooke, Yongming Liu

Adv. Eng. Informatics, August, 2023

Machine Learning-Enhanced Aircraft Landing Scheduling under Uncertainties.

Yutian Pang, Peng Zhao, Jueming Hu, Yongming Liu

CoRR, 2023

Reinforcement Learning with Reward Machines in Stochastic Games.

Jueming Hu, Jean-Raphaël Gaglione, Yanze Wang, Zhe Xu, Ufuk Topcu, Yongming Liu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Bayesian Spatio-Temporal grAph tRansformer network (B-STAR) for multi-aircraft trajectory prediction.

Yutian Pang, Xinyu Zhao, Jueming Hu, Hao Yan, Yongming Liu

Knowl. Based Syst., 2022

Optimal maintenance scheduling under uncertainties using Linear Programming-enhanced Reinforcement Learning.

Jueming Hu, Yuhao Wang, Yutian Pang, Yongming Liu

Eng. Appl. Artif. Intell., 2022

Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning.

Jueming Hu, Xuxi Yang, Weichang Wang, Peng Wei, Lei Ying, Yongming Liu

IEEE Access, 2022

2021

Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks.

Yutian Pang, Sheng Cheng, Jueming Hu, Yongming Liu

CoRR, 2021

2020

Probabilistic Risk-Based Operational Safety Bound for Rotary-Wing Unmanned Aircraft Systems Traffic Management.

Jueming Hu, Heinz Erzberger, Kai Goebel, Yongming Liu

J. Aerosp. Inf. Syst., March, 2020