Yongming Liu
Arizona State University
H-index: 49
North America-United States
Top articles of Yongming Liu
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Machine learning-enhanced aircraft landing scheduling under uncertainties | Transportation Research Part C: Emerging Technologies | Yutian Pang Peng Zhao Jueming Hu Yongming Liu | 2024/1/1 |
PIGAT: Physics-Informed Graph Attention Transformer for Air Traffic State Prediction | IEEE Transactions on Intelligent Transportation Systems | Qihang Xu Yutian Pang Xuesong Zhou Yongming Liu | 2024/4/19 |
Physics-guided generative adversarial network for probabilistic structural system identification | Expert Systems with Applications | Yang Yu Yongming Liu | 2024/4/1 |
Curvature Augmented Manifold Embedding and Learning | arXiv preprint arXiv:2403.14813 | Yongming Liu | 2024/3/21 |
Decentralized graph-based multi-agent reinforcement learning using reward machines | Neurocomputing | Jueming Hu Zhe Xu Weichang Wang Guannan Qu Yutian Pang | 2024/1/7 |
Air traffic controller workload level prediction using conformalized dynamical graph learning | Advanced Engineering Informatics | Yutian Pang Jueming Hu Christopher S Lieber Nancy J Cooke Yongming Liu | 2023/8/1 |
Predicting separation errors of air traffic controllers through integrated sequence analysis of multimodal behaviour indicators | Advanced Engineering Informatics | Ruoxin Xiong Yanyu Wang Pingbo Tang Nancy J Cooke Sarah V Ligda | 2023/1/1 |
Parkinson’s disease diagnosis beyond clinical features: a bio-marker using topological machine learning of resting-state functional magnetic resonance imaging | Neuroscience | Nan Xu Yuxiang Zhou Ameet Patel Na Zhang Yongming Liu | 2023/1/15 |
Epistemic and aleatoric uncertainty quantification for crack detection using a Bayesian Boundary Aware Convolutional Network | Reliability Engineering & System Safety | Rahul Rathnakumar Yutian Pang Yongming Liu | 2023/12/1 |
Air traffic density prediction using Bayesian ensemble graph attention network (BEGAN) | Transportation Research Part C: Emerging Technologies | Qihang Xu Yutian Pang Yongming Liu | 2023/8/1 |
Fast and reliable map matching from large-scale noisy positioning records | Journal of Computing in Civil Engineering | Yanyu Wang Ruoxin Xiong Pingbo Tang Yongming Liu | 2023/1/1 |
Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints | Knowledge-Based Systems | Jiayu Huang Yutian Pang Yongming Liu Hao Yan | 2023/1/10 |
Neural optimization machine: a neural network approach for optimization and its application in additive manufacturing with physics-guided learning | Philosophical Transactions of the Royal Society A | Jie Chen Yongming Liu | 2023/11/13 |
Reinforcement Learning With Reward Machines in Stochastic Games | arXiv preprint arXiv:2305.17372 | Jueming Hu Jean-Raphaël Gaglione Yanze Wang Zhe Xu Ufuk Topcu | 2023/5/27 |
Information Fusion and Data Augmentation for Risk-based Maintenance Optimization of Hydrogen Gas Pipelines | Kaushik Kethamukkala Yongming Liu | 2023 | |
Simplicial Complex-Enhanced Manifold Embedding of Spatiotemporal Data for Structural Health Monitoring | Infrastructures | Nan Xu Zhiming Zhang Yongming Liu | 2023/3/5 |
A multigrid finite element neural network for efficient material response prediction | Changyu Meng Yongming Liu | 2023 | |
Crack growth-based life prediction for additively manufactured metallic materials considering surface roughness | International Journal of Fatigue | Kaushik Kethamukkala Changyu Meng Jie Chen Yongming Liu | 2023/11/1 |
Physics-constrained Gaussian process for life prediction under in-phase multiaxial cyclic loading with superposed static components | International Journal of Fatigue | Aleksander Karolczuk Yongming Liu Krzysztof Kluger Szymon Derda Dariusz Skibicki | 2023/10/1 |
Fatigue Life Prediction Model Considering Surface Roughness for Additively Manufactured Metallic Components | Kaushik Kethamukkala Yongming Liu | 2023 |
Co-Authors
