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., 2020)

Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks. - Yutian Pang; Sheng Cheng; Jueming Hu; Yongming Liu (CoRR, 2021)

Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning. - Jueming Hu; Xuxi Yang; Weichang Wang; Peng Wei; Lei Ying 001; Yongming Liu (IEEE Access, 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)

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)

Reinforcement Learning with Reward Machines in Stochastic Games. - Jueming Hu; Jean-Raphaël Gaglione; Yanze Wang; Zhe Xu 005; Ufuk Topcu; Yongming Liu (ECAI, 2023)

Machine Learning-Enhanced Aircraft Landing Scheduling under Uncertainties. - Yutian Pang; Peng Zhao 005; Jueming Hu; Yongming Liu (CoRR, 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, 2023)

Knowledge-enhanced reinforcement learning for multi-machine integrated production and maintenance scheduling. - Jueming Hu; Haiyan Wang 003; Hsiu-Khuern Tang; Takuya Kanazawa; Chetan Gupta 001; Ahmed K. Farahat (Comput. Ind. Eng., 2023)

Decentralized graph-based multi-agent reinforcement learning using reward machines. - Jueming Hu; Zhe Xu 005; Weichang Wang; Guannan Qu; Yutian Pang; Yongming Liu (Neurocomputing, 2024)