Yutian Pang
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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
Conditional generative adversarial networks (CGAN) for aircraft trajectory prediction considering weather effects
Y Pang, Y Liu
AIAA Scitech 2020 Forum, 1853, 2020
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, 2019
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
Probabilistic aircraft trajectory prediction considering weather uncertainties using dropout as bayesian approximate variational inference
Y Pang, Y Liu
AIAA Scitech 2020 Forum, 1413, 2020
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
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
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
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, 2021
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
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, 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, 108998, 2022
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
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
Physics-Based Learning for Aircraft Waiting Time Prediction
Q Xu, Y Pang, Z Zhang, Y Liu
AIAA AVIATION 2022 Forum, 3826, 2022
Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines
J Hu, Z Xu, W Wang, G Qu, Y Pang, Y Liu
arXiv preprint arXiv:2110.00096, 2021
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
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