Yutian Pang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Interaction Model

Reinforcement Learning

Convolutional Network

Moving Objects Databases

Top Venues

Reliab. Eng. Syst. Saf.

Knowl. Based Syst.

Eng. Appl. Artif. Intell.

Publications

Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu
Decentralized graph-based multi-agent reinforcement learning using reward machines. Neurocomputing 564 (2024)
Yutian Pang, Jueming Hu, Christopher S. Lieber, Nancy J. Cooke, Yongming Liu
Air Traffic Controller Workload Level Prediction using Conformalized Dynamical Graph Learning. CoRR (2023)
Rahul Rathnakumar, Yutian Pang, Yongming Liu
B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization. CoRR (2023)
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 (2023)
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 (2023)
Jiayu Huang, Yutian Pang, Yongming Liu, Hao Yan
Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints. Knowl. Based Syst. 259 (2023)
Yutian Pang, Peng Zhao, Jueming Hu, Yongming Liu
Machine Learning-Enhanced Aircraft Landing Scheduling under Uncertainties. CoRR (2023)
Jiayu Huang, Yutian Pang, Yongming Liu, Hao Yan
Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints. CoRR (2022)
Yutian Pang, Zehua Guo, Binnan Zhuang
ProspectNet: Weighted Conditional Attention for Future Interaction Modeling in Behavior Prediction. CoRR (2022)
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 (2022)
Jueming Hu, Yuhao Wang, Yutian Pang, Yongming Liu
Optimal maintenance scheduling under uncertainties using Linear Programming-enhanced Reinforcement Learning. Eng. Appl. Artif. Intell. 109 (2022)
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) (2022)
Yutian Pang, Sheng Cheng, Jueming Hu, Yongming Liu
Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks. CoRR (2021)
Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu
Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines. CoRR (2021)
Yuhao Wang, Yutian Pang, Oliver Chen, Hari N. Iyer, Parikshit Dutta, P. K. Menon, Yongming Liu
Uncertainty quantification and reduction in aircraft trajectory prediction using Bayesian-Entropy information fusion. Reliab. Eng. Syst. Saf. 212 (2021)