Yongming Liu

Yongming Liu

Arizona State University

H-index: 49

North America-United States

About Yongming Liu

Yongming Liu, With an exceptional h-index of 49 and a recent h-index of 37 (since 2020), a distinguished researcher at Arizona State University, specializes in the field of fatigue and fracture mechanics, probabilistic methods, Bayesian, physics guided machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

PIGAT: Physics-Informed Graph Attention Transformer for Air Traffic State Prediction

Physics-guided generative adversarial network for probabilistic structural system identification

Curvature Augmented Manifold Embedding and Learning

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

Machine learning-enhanced aircraft landing scheduling under uncertainties

Crack growth-based life prediction for additively manufactured metallic materials considering surface roughness

Physics-constrained Gaussian process for life prediction under in-phase multiaxial cyclic loading with superposed static components

Air traffic controller workload level prediction using conformalized dynamical graph learning

Yongming Liu Information

University

Position

___

Citations(all)

7332

Citations(since 2020)

4665

Cited By

4124

hIndex(all)

49

hIndex(since 2020)

37

i10Index(all)

142

i10Index(since 2020)

127

Email

University Profile Page

Google Scholar

Yongming Liu Skills & Research Interests

fatigue and fracture mechanics

probabilistic methods

Bayesian

physics guided machine learning

Top articles of Yongming Liu

PIGAT: Physics-Informed Graph Attention Transformer for Air Traffic State Prediction

IEEE Transactions on Intelligent Transportation Systems

2024/4/19

Physics-guided generative adversarial network for probabilistic structural system identification

Expert Systems with Applications

2024/4/1

Yang Yu
Yang Yu

H-Index: 7

Yongming Liu
Yongming Liu

H-Index: 29

Curvature Augmented Manifold Embedding and Learning

arXiv preprint arXiv:2403.14813

2024/3/21

Yongming Liu
Yongming Liu

H-Index: 29

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

Neurocomputing

2024/1/7

Machine learning-enhanced aircraft landing scheduling under uncertainties

Transportation Research Part C: Emerging Technologies

2024/1/1

Crack growth-based life prediction for additively manufactured metallic materials considering surface roughness

International Journal of Fatigue

2023/11/1

Physics-constrained Gaussian process for life prediction under in-phase multiaxial cyclic loading with superposed static components

International Journal of Fatigue

2023/10/1

Air traffic controller workload level prediction using conformalized dynamical graph learning

Advanced Engineering Informatics

2023/8/1

Air traffic density prediction using Bayesian ensemble graph attention network (BEGAN)

Transportation Research Part C: Emerging Technologies

2023/8/1

Yutian Pang
Yutian Pang

H-Index: 4

Yongming Liu
Yongming Liu

H-Index: 29

Reinforcement Learning With Reward Machines in Stochastic Games

arXiv preprint arXiv:2305.17372

2023/5/27

Simplicial Complex-Enhanced Manifold Embedding of Spatiotemporal Data for Structural Health Monitoring

Infrastructures

2023/3/5

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

arXiv e-prints

2023/2

Parkinson’s disease diagnosis beyond clinical features: a bio-marker using topological machine learning of resting-state functional magnetic resonance imaging

Neuroscience

2023/1/15

Nan Xu
Nan Xu

H-Index: 4

Na Zhang
Na Zhang

H-Index: 3

Yongming Liu
Yongming Liu

H-Index: 29

Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints

Knowledge-Based Systems

2023/1/10

Information Fusion and Data Augmentation for Risk-based Maintenance Optimization of Hydrogen Gas Pipelines

2023

Yongming Liu
Yongming Liu

H-Index: 29

A multigrid finite element neural network for efficient material response prediction

2023

Changyu Meng
Changyu Meng

H-Index: 3

Yongming Liu
Yongming Liu

H-Index: 29

Fatigue Life Prediction Model Considering Surface Roughness for Additively Manufactured Metallic Components

2023

Yongming Liu
Yongming Liu

H-Index: 29

Predicting separation errors of air traffic controllers through integrated sequence analysis of multimodal behaviour indicators

Advanced Engineering Informatics

2023/1/1

Yanyu Wang
Yanyu Wang

H-Index: 1

Yongming Liu
Yongming Liu

H-Index: 29

Fast and reliable map matching from large-scale noisy positioning records

Journal of Computing in Civil Engineering

2023/1/1

Yanyu Wang
Yanyu Wang

H-Index: 1

Yongming Liu
Yongming Liu

H-Index: 29

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

Reliability Engineering & System Safety

2023/12/1

See List of Professors in Yongming Liu University(Arizona State University)

Co-Authors

academic-engine