Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach Y Pang, X Zhao, H Yan, Y Liu Transportation Research Part C: Emerging Technologies 130, 103326, 2021 | 55 | 2021 |

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 | 54 | 2019 |

Conditional generative adversarial networks (CGAN) for aircraft trajectory prediction considering weather effects Y Pang, Y Liu AIAA Scitech 2020 Forum, 1853, 2020 | 50 | 2020 |

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 | 36 | 2022 |

Aircraft trajectory prediction using LSTM neural network with embedded convolutional layer Y Pang, N Xu, Y Liu Proceedings of the Annual Conference of the PHM Society 11, 1-8, 2019 | 34 | 2019 |

Uncertainty quantification and reduction in aircraft trajectory prediction using Bayesian-Entropy information fusion Y Wang, Y Pang, O Chen, HN Iyer, P Dutta, PK Menon, Y Liu Reliability Engineering & System Safety 212, 107650, 2021 | 26 | 2021 |

Probabilistic aircraft trajectory prediction considering weather uncertainties using dropout as bayesian approximate variational inference Y Pang, Y Liu AIAA Scitech 2020 Forum, 1413, 2020 | 22 | 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 | 18 | 2022 |

Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks Y Pang, S Cheng, J Hu, Y Liu CVPR 2021 Workshop on Adversarial Machine Learning in Real-World Computer …, 2021 | 15 | 2021 |

Aircraft trajectory prediction and risk assessment using bayesian updating Y Wang, Y Pang, Y Liu, P Dutta, BJ Yang Aiaa aviation 2019 forum, 2936, 2019 | 12 | 2019 |

A voice communication-augmented simulation framework for aircraft trajectory simulation Y Wang, Y Pang, S Gorceski, P Kostiuk, MT Mohen, PK Menon, Y Liu IEEE Transactions on Intelligent Transportation Systems 23 (7), 7310-7320, 2021 | 10 | 2021 |

Fracture pattern prediction with random microstructure using a physics-informed deep neural networks H Wei, H Yao, Y Pang, Y Liu Engineering Fracture Mechanics 268, 108497, 2022 | 7 | 2022 |

Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints J Huang, Y Pang, Y Liu, H Yan Knowledge-Based Systems 259, 110043, 2023 | 5 | 2023 |

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 |

ProspectNet: Weighted Conditional Attention for Future Interaction Modeling in Behavior Prediction Y Pang, Z Guo, B Zhuang arXiv preprint arXiv:2208.13848, 2022 | 4 | 2022 |

Probabilistic aircraft trajectory prediction with weather uncertainties using approximate Bayesian variational inference to neural networks Y Pang, Y Wang, Y Liu AIAA Aviation 2020 Forum, 2897, 2020 | 4 | 2020 |

Spatio-temporal anomaly detection, diagnostics, and prediction of the air-traffic trajectory deviation using the convective weather X Zhao, H Yan, J Li, Y Pang, Y Liu Proceedings of the Annual Conference of the PHM Society 11, 1-8, 2019 | 4 | 2019 |

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 | 3 | 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 | 3 | 2023 |

Air traffic density prediction using Bayesian ensemble graph attention network (BEGAN) Q Xu, Y Pang, Y Liu Transportation Research Part C: Emerging Technologies 153, 104225, 2023 | 2 | 2023 |