Yutian Pang

According to our database, Yutian Pang authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Decentralized graph-based multi-agent reinforcement learning using reward machines.

Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu

Neurocomputing, January, 2024

2023

Epistemic and aleatoric uncertainty quantification for crack detection using a Bayesian Boundary Aware Convolutional Network.

Rahul Rathnakumar, Yutian Pang, Yongming Liu

Reliab. Eng. Syst. Saf., December, 2023

Air traffic controller workload level prediction using conformalized dynamical graph learning.

Yutian Pang, Jueming Hu, Christopher S. Lieber, Nancy J. Cooke, Yongming Liu

Adv. Eng. Informatics, August, 2023

Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints.

Jiayu Huang, Yutian Pang, Yongming Liu, Hao Yan

Knowl. Based Syst., 2023

Machine Learning-Enhanced Aircraft Landing Scheduling under Uncertainties.

Yutian Pang, Peng Zhao, Jueming Hu, Yongming Liu

CoRR, 2023

B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization.

Rahul Rathnakumar, Yutian Pang, Yongming Liu

CoRR, 2023

2022

A Voice Communication-Augmented Simulation Framework for Aircraft Trajectory Simulation.

Yuhao Wang, Yutian Pang, Stojanche Gorceski, Peter Kostiuk, Michael Thomas Mohen, Padmanabhan K. Menon, Yongming Liu

IEEE Trans. Intell. Transp. Syst., 2022

Bayesian Spatio-Temporal grAph tRansformer network (B-STAR) for multi-aircraft trajectory prediction.

Yutian Pang, Xinyu Zhao, Jueming Hu, Hao Yan, Yongming Liu

Knowl. Based Syst., 2022

Optimal maintenance scheduling under uncertainties using Linear Programming-enhanced Reinforcement Learning.

Jueming Hu, Yuhao Wang, Yutian Pang, Yongming Liu

Eng. Appl. Artif. Intell., 2022

ProspectNet: Weighted Conditional Attention for Future Interaction Modeling in Behavior Prediction.

Yutian Pang, Zehua Guo, Binnan Zhuang

CoRR, 2022

2021

Uncertainty quantification and reduction in aircraft trajectory prediction using Bayesian-Entropy information fusion.

Yuhao Wang, Yutian Pang, Oliver Chen, Hari N. Iyer, Parikshit Dutta, Padmanabhan K. Menon, Yongming Liu

Reliab. Eng. Syst. Saf., 2021

Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks.

Yutian Pang, Sheng Cheng, Jueming Hu, Yongming Liu

CoRR, 2021