Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks. - Yutian Pang; Sheng Cheng; Jueming Hu; Yongming Liu (CoRR, 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)

ProspectNet: Weighted Conditional Attention for Future Interaction Modeling in Behavior Prediction. - Yutian Pang; Zehua Guo 007; Binnan Zhuang (CoRR, 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)

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)

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)

B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization. - Rahul Rathnakumar; Yutian Pang; Yongming Liu (CoRR, 2023)

Machine Learning-Enhanced Aircraft Landing Scheduling under Uncertainties. - Yutian Pang; Peng Zhao 005; Jueming Hu; Yongming Liu (CoRR, 2023)

Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints. - Jiayu Huang; Yutian Pang; Yongming Liu; Hao Yan (Knowl. Based Syst., 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, 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., 2023)

Decentralized graph-based multi-agent reinforcement learning using reward machines. - Jueming Hu; Zhe Xu 005; Weichang Wang; Guannan Qu; Yutian Pang; Yongming Liu (Neurocomputing, 2024)

PIGAT: Physics-Informed Graph Attention Transformer for Air Traffic State Prediction. - Qihang Xu; Yutian Pang; Xuesong Zhou; Yongming Liu (IEEE Trans. Intell. Transp. Syst., 2024)

The Reliability of Remotely Piloted Aircraft System Performance under Communication Loss and Latency Uncertainties. - Yutian Pang; Andrew Paul Kendall; John-Paul Clarke (CoRR, 2025)

From Voice to Safety: Language AI Powered Pilot-ATC Communication Understanding for Airport Surface Movement Collision Risk Assessment. - Yutian Pang; Andrew Paul Kendall; Alex Porcayo; Mariah Barsotti; Anahita Jain; John-Paul Clarke (CoRR, 2025)