Yong Huang
Cited by
Cited by
Robust Bayesian compressive sensing for signals in structural health monitoring
Y Huang, JL Beck, S Wu, H Li
Computer‐Aided Civil and Infrastructure Engineering 29 (3), 160-179, 2014
State-of-the-art review on Bayesian inference in structural system identification and damage assessment
Y Huang, C Shao, B Wu, JL Beck, H Li
Advances in Structural Engineering 22 (6), 1329-1351, 2019
Bayesian System Identification based on Hierarchical Sparse Bayesian Learning and Gibbs Sampling with Application to Structural Damage Assessment
Y Huang, JL Beck, H Li
Computer Methods in Applied Mechanics and Engineering (in press), arXiv …, 2017
Fractal dimension‐based damage detection method for beams with a uniform cross‐section
H Li, Y Huang, J Ou, Y Bao
Computer‐Aided Civil and Infrastructure Engineering 26 (3), 190-206, 2011
Bayesian compressive sensing for approximately sparse signals and application to structural health monitoring signals for data loss recovery
Y Huang, JL Beck, S Wu, H Li
Probabilistic Engineering Mechanics 46, 62-79, 2016
Hierarchical sparse Bayesian learning for structural damage detection: Theory, computation and application
Y Huang, JL Beck, H Li
Structural Safety 64, 37-53, 2017
Hierarchical sparse Bayesian learning for structural health monitoring with incomplete modal data
Y Huang, JL Beck
International Journal for Uncertainty Quantification 5 (2), 2015
Estimation and warning of fatigue damage of FRP stay cables based on acoustic emission techniques and fractal theory
H Li, Y Huang, WL Chen, ML Ma, DW Tao, JP Ou
Computer‐Aided Civil and Infrastructure Engineering 26 (7), 500-512, 2011
Multi-task sparse Bayesian learning with applications in structural health monitoring
Yong Huang*, James L. Beck, Hui Li
Computer-Aided Civil & Infrastructure Engineering, DOI: 10.1111/mice.12408, 2018
Full Gibbs Sampling Procedure for Bayesian System Identification Incorporating Sparse Bayesian Learning with Automatic Relevance Determination
Y Huang, JL Beck
Computer‐Aided Civil and Infrastructure Engineering, 2018
Approximate Bayesian Computation by Subset Simulation using hierarchical state-space models
MK Vakilzadeh, Y Huang, JL Beck, T Abrahamsson
Mechanical Systems and Signal Processing 84 (Part B), 2-20, 2016
Guided-wave signal processing by the sparse Bayesian learning approach employing Gabor pulse model
B Wu, Y Huang, X Chen, S Krishnaswamy, H Li
Structural Health Monitoring, doi: 10.1177/1475921716665252, 2016
Sparse Bayesian learning for structural damage detection using expectation–maximization technique
R Hou, Y Xia, X Zhou, Y Huang
Structural Control and Health Monitoring 26 (5), e2343, 2019
Identifiability of geotechnical site-specific trend functions
J Ching, KK Phoon, JL Beck, Y Huang
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2017
A data‐driven approach for seismic damage detection of shear‐type building structures using the fractal dimension of time–frequency features
H Li, D Tao, Y Huang, Y Bao
Structural Control and Health Monitoring 20 (9), 1191-1210, 2013
Bayesian finite element model updating and assessment of cable-stayed bridges using wireless sensor data
P Asadollahi, Y Huang, J Li
Sensors 18 (9), 3057, 2018
Sparse Bayesian learning approach for propagation distance recognition and damage localization in plate-like structures using guided waves
M Zhao, W Zhou, Y Huang, H Li
Structural Health Monitoring 20 (1), 3-24, 2021
A Bayesian Approach for Sparse Flaw Detection from Noisy Signals for Ultrasonic NDT
B Wu, Y Huang, S Krishnaswamy
NDT & E International 85, 76-85, 2017
Recovering compressed images for automatic crack segmentation using generative models
Y Huang, H Zhang, H Li, S Wu
Mechanical Systems and Signal Processing 146, 107061, 2021
Sparse recovery of multiple dispersive guided-wave modes for defect localization using a Bayesian approach
B Wu, H Li, Y Huang
Structural Health Monitoring 18 (4), 1235-1252, 2019
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