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Yutian Pang
Yutian Pang
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Title
Cited by
Cited by
Year
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
552021
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
542019
Conditional generative adversarial networks (CGAN) for aircraft trajectory prediction considering weather effects
Y Pang, Y Liu
AIAA Scitech 2020 Forum, 1853, 2020
502020
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
362022
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
342019
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
262021
Probabilistic aircraft trajectory prediction considering weather uncertainties using dropout as bayesian approximate variational inference
Y Pang, Y Liu
AIAA Scitech 2020 Forum, 1413, 2020
222020
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
182022
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
152021
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
122019
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
102021
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
72022
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
52023
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
52022
ProspectNet: Weighted Conditional Attention for Future Interaction Modeling in Behavior Prediction
Y Pang, Z Guo, B Zhuang
arXiv preprint arXiv:2208.13848, 2022
42022
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
42020
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
42019
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
32024
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
32023
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
22023
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