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Yutian Pang
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2020 – today
- 2024
- [j9]Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu:
Decentralized graph-based multi-agent reinforcement learning using reward machines. Neurocomputing 564: 126974 (2024) - [j8]Qihang Xu, Yutian Pang, Xuesong Zhou, Yongming Liu:
PIGAT: Physics-Informed Graph Attention Transformer for Air Traffic State Prediction. IEEE Trans. Intell. Transp. Syst. 25(9): 12561-12577 (2024) - 2023
- [j7]Yutian Pang, Jueming Hu, Christopher S. Lieber, Nancy J. Cooke, Yongming Liu:
Air traffic controller workload level prediction using conformalized dynamical graph learning. Adv. Eng. Informatics 57: 102113 (2023) - [j6]Jiayu Huang, Yutian Pang, Yongming Liu, Hao Yan:
Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints. Knowl. Based Syst. 259: 110043 (2023) - [j5]Rahul Rathnakumar, Yutian Pang, Yongming Liu:
Epistemic and aleatoric uncertainty quantification for crack detection using a Bayesian Boundary Aware Convolutional Network. Reliab. Eng. Syst. Saf. 240: 109547 (2023) - [i7]Rahul Rathnakumar, Yutian Pang, Yongming Liu:
B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization. CoRR abs/2302.06827 (2023) - [i6]Yutian Pang, Jueming Hu, Christopher S. Lieber, Nancy J. Cooke, Yongming Liu:
Air Traffic Controller Workload Level Prediction using Conformalized Dynamical Graph Learning. CoRR abs/2307.10559 (2023) - [i5]Yutian Pang, Peng Zhao, Jueming Hu, Yongming Liu:
Machine Learning-Enhanced Aircraft Landing Scheduling under Uncertainties. CoRR abs/2311.16030 (2023) - 2022
- [j4]Jueming Hu, Yuhao Wang, Yutian Pang, Yongming Liu:
Optimal maintenance scheduling under uncertainties using Linear Programming-enhanced Reinforcement Learning. Eng. Appl. Artif. Intell. 109: 104655 (2022) - [j3]Yutian Pang, Xinyu Zhao, Jueming Hu, Hao Yan, Yongming Liu:
Bayesian Spatio-Temporal grAph tRansformer network (B-STAR) for multi-aircraft trajectory prediction. Knowl. Based Syst. 249: 108998 (2022) - [j2]Yuhao Wang, Yutian Pang, Stojanche Gorceski, Peter Kostiuk, Michael Thomas Mohen, Padmanabhan K. Menon, Yongming Liu:
A Voice Communication-Augmented Simulation Framework for Aircraft Trajectory Simulation. IEEE Trans. Intell. Transp. Syst. 23(7): 7310-7320 (2022) - [i4]Yutian Pang, Zehua Guo, Binnan Zhuang:
ProspectNet: Weighted Conditional Attention for Future Interaction Modeling in Behavior Prediction. CoRR abs/2208.13848 (2022) - [i3]Jiayu Huang, Yutian Pang, Yongming Liu, Hao Yan:
Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints. CoRR abs/2210.08608 (2022) - 2021
- [j1]Yuhao Wang, Yutian Pang, Oliver Chen, Hari N. Iyer, Parikshit Dutta, Padmanabhan K. Menon, Yongming Liu:
Uncertainty quantification and reduction in aircraft trajectory prediction using Bayesian-Entropy information fusion. Reliab. Eng. Syst. Saf. 212: 107650 (2021) - [i2]Yutian Pang, Sheng Cheng, Jueming Hu, Yongming Liu:
Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks. CoRR abs/2106.09223 (2021) - [i1]Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu:
Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines. CoRR abs/2110.00096 (2021)
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