Yutian Pang - RankMe

19 papers Journal 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	From Voice to Safety: Language AI Powered Pilot-ATC Communication Understanding for Airport Surface Movement Collision Risk Assessment. CoRR Yutian Pang, Andrew Paul Kendall, Alex Porcayo, Mariah Barsotti, Anahita Jain, John-Paul Clarke
2025	J	`jnl`	Modeling the Impact of Communication and Human Uncertainties on Runway Capacity in Terminal Airspace. CoRR Yutian Pang, Andrew Paul Kendall, John-Paul Clarke
2025	J	`jnl`	The Reliability of Remotely Piloted Aircraft System Performance under Communication Loss and Latency Uncertainties. CoRR Yutian Pang, Andrew Paul Kendall, John-Paul Clarke
2024	J	`jnl`	Decentralized graph-based multi-agent reinforcement learning using reward machines. Neurocomputing Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu
2024	J	`jnl`	PIGAT: Physics-Informed Graph Attention Transformer for Air Traffic State Prediction. IEEE Trans. Intell. Transp. Syst. Qihang Xu, Yutian Pang, Xuesong Zhou, Yongming Liu
2023	J	`jnl`	Air Traffic Controller Workload Level Prediction using Conformalized Dynamical Graph Learning. CoRR Yutian Pang, Jueming Hu, Christopher S. Lieber, Nancy J. Cooke, Yongming Liu
2023	J	`jnl`	Air traffic controller workload level prediction using conformalized dynamical graph learning. Adv. Eng. Informatics Yutian Pang, Jueming Hu, Christopher S. Lieber, Nancy J. Cooke, Yongming Liu
2023	J	`jnl`	B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization. CoRR Rahul Rathnakumar, Yutian Pang, Yongming Liu
2023	J	`jnl`	Epistemic and aleatoric uncertainty quantification for crack detection using a Bayesian Boundary Aware Convolutional Network. Reliab. Eng. Syst. Saf. Rahul Rathnakumar, Yutian Pang, Yongming Liu
2023	J	`jnl`	Machine Learning-Enhanced Aircraft Landing Scheduling under Uncertainties. CoRR Yutian Pang, Peng Zhao, Jueming Hu, Yongming Liu
2023	J	`jnl`	Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints. Knowl. Based Syst. Jiayu Huang, Yutian Pang, Yongming Liu, Hao Yan
2022	J	`jnl`	A Voice Communication-Augmented Simulation Framework for Aircraft Trajectory Simulation. IEEE Trans. Intell. Transp. Syst. Yuhao Wang, Yutian Pang, Stojanche Gorceski, Peter Kostiuk, Michael Thomas Mohen, Padmanabhan K. Menon, Yongming Liu
2022	J	`jnl`	Bayesian Spatio-Temporal grAph tRansformer network (B-STAR) for multi-aircraft trajectory prediction. Knowl. Based Syst. Yutian Pang, Xinyu Zhao, Jueming Hu, Hao Yan, Yongming Liu
2022	J	`jnl`	Optimal maintenance scheduling under uncertainties using Linear Programming-enhanced Reinforcement Learning. Eng. Appl. Artif. Intell. Jueming Hu, Yuhao Wang, Yutian Pang, Yongming Liu
2022	J	`jnl`	Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints. CoRR Jiayu Huang, Yutian Pang, Yongming Liu, Hao Yan
2022	J	`jnl`	ProspectNet: Weighted Conditional Attention for Future Interaction Modeling in Behavior Prediction. CoRR Yutian Pang, Zehua Guo, Binnan Zhuang
2021	J	`jnl`	Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines. CoRR Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu
2021	J	`jnl`	Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks. CoRR Yutian Pang, Sheng Cheng, Jueming Hu, Yongming Liu
2021	J	`jnl`	Uncertainty quantification and reduction in aircraft trajectory prediction using Bayesian-Entropy information fusion. Reliab. Eng. Syst. Saf. Yuhao Wang, Yutian Pang, Oliver Chen, Hari N. Iyer, Parikshit Dutta, Padmanabhan K. Menon, Yongming Liu