| A recurrent neural network approach for aircraft trajectory prediction with weather features from sherlock Y Pang, H Yao, J Hu, Y Liu AIAA Aviation 2019 Forum, 3413, 2019 | 56 | 2019 |
| Bayesian spatio-temporal graph transformer network (b-star) for multi-aircraft trajectory prediction Y Pang, X Zhao, J Hu, H Yan, Y Liu Knowledge-Based Systems 249, 108998, 2022 | 41 | 2022 |
| Probabilistic risk-based operational safety bound for rotary-wing unmanned aircraft systems traffic management J Hu, H Erzberger, K Goebel, Y Liu Journal of Aerospace Information Systems 17 (3), 171-181, 2020 | 21 | 2020 |
| Optimal maintenance scheduling under uncertainties using Linear Programming-enhanced Reinforcement Learning J Hu, Y Wang, Y Pang, Y Liu Engineering Applications of Artificial Intelligence 109, 104655, 2022 | 20 | 2022 |
| Obstacle avoidance for uas in continuous action space using deep reinforcement learning J Hu, X Yang, W Wang, P Wei, L Ying, Y Liu IEEE Access 10, 90623-90634, 2022 | 16 | 2022 |
| UAS conflict resolution in continuous action space using deep reinforcement learning J Hu, X Yang, W Wang, P Wei, L Ying, Y Liu AIAA AVIATION 2020 FORUM, 2909, 2020 | 16 | 2020 |
| Evaluating the robustness of bayesian neural networks against different types of attacks Y Pang, S Cheng, J Hu, Y Liu arXiv preprint arXiv:2106.09223, 2021 | 15 | 2021 |
| UAS conflict resolution integrating a risk-based operational safety bound as airspace reservation with reinforcement learning J Hu, Y Liu AIAA Scitech 2020 Forum, 1372, 2020 | 7 | 2020 |
| Risk-based dynamic anisotropic operational safety bound for rotary UAV traffic control J Hu, H Erzberger, K Goebel, Y Liu Proceedings of the Annual Conference of the PHM Society 11, 2019 | 6 | 2019 |
| Robust satellite image classification with Bayesian deep learning Y Pang, S Cheng, J Hu, Y Liu 2022 Integrated Communication, Navigation and Surveillance Conference (ICNS …, 2022 | 5 | 2022 |
| Decentralized graph-based multi-agent reinforcement learning using reward machines J Hu, Z Xu, W Wang, G Qu, Y Pang, Y Liu Neurocomputing 564, 126974, 2024 | 4 | 2024 |
| Air traffic controller workload level prediction using conformalized dynamical graph learning Y Pang, J Hu, CS Lieber, NJ Cooke, Y Liu Advanced Engineering Informatics 57, 102113, 2023 | 4 | 2023 |
| Probabilistic risk assessment and mitigation for uas safety and traffic management J Hu Proceedings of the Annual Conference of the PHM Society 11, 2019 | 4 | 2019 |
| Conflict probability estimation using a risk-based dynamic anisotropic operational safety bound for UAS traffic management J Hu, H Erzberger, K Goebel, Y Liu AIAA Scitech 2020 Forum, 0738, 2020 | 2 | 2020 |
| Machine learning-enhanced aircraft landing scheduling under uncertainties Y Pang, P Zhao, J Hu, Y Liu Transportation Research Part C: Emerging Technologies 158, 104444, 2024 | | 2024 |
| Knowledge-enhanced reinforcement learning for multi-machine integrated production and maintenance scheduling J Hu, H Wang, HK Tang, T Kanazawa, C Gupta, A Farahat Computers & Industrial Engineering 185, 109631, 2023 | | 2023 |
| Reinforcement Learning With Reward Machines in Stochastic Games J Hu, JR Gaglione, Y Wang, Z Xu, U Topcu, Y Liu arXiv preprint arXiv:2305.17372, 2023 | | 2023 |
| Reinforcement Learning for Planning and Scheduling in Aviation J Hu Arizona State University, 2023 | | 2023 |
| Numerical Modeling of Cake Formation and Permeate Flux Decline in Membrane Filtration Using OpenFOAM J Hu Arizona State University, 2018 | | 2018 |
