3 citations · 3 across the 2 of their papers we have counts for
4 papers
Recovering compressed images for automatic crack segmentation using generative models
Yong Huang, Haoyu Zhang, Hui Li +1
In a structural health monitoring (SHM) system that uses digital cameras to monitor cracks of structural surfaces, techniques for reliable and effective data compression are essent…
Learning Structural Graph Layouts and 3D Shapes for Long Span Bridges 3D Reconstruction
Fangqiao Hu, Jin Zhao, Yong Huang +1
A learning-based 3D reconstruction method for long-span bridges is proposed in this paper. 3D reconstruction generates a 3D computer model of a real object or scene from images, it…
Robust Bayesian compressive sensing with data loss recovery for structural health monitoring signals
Yong Huang, James L. Beck, Stephen Wu +1
The application of compressive sensing (CS) to structural health monitoring is an emerging research topic. The basic idea in CS is to use a specially-designed wireless sensor to sa…
Hierarchical sparse Bayesian learning: theory and application for inferring structural damage from incomplete modal data
Yong Huang, James L. Beck
Structural damage due to excessive loading or environmental degradation typically occurs in localized areas in the absence of collapse. This prior information about the spatial spa…