Yongchao Yang

发表

Blind denoising of structural vibration responses with outliers via principal component pursuit

Satish Nagarajaiah, Yongchao Yang, 2013, Structural Control and Health Monitoring.

Estimation of full‐field, full‐order experimental modal model of cable vibration from digital video measurements with physics‐guided unsupervised machine learning and computer vision

C. Farrar, D. Mascareñas, Yongchao Yang, 2019, Structural Control and Health Monitoring.

Spatiotemporal video‐domain high‐fidelity simulation and realistic visualization of full‐field dynamic responses of structures by a combination of high‐spatial‐resolution modal model and video motion manipulations

Charles R. Farrar, David Mascareñas, Charles Dorn, 2018, Structural Control and Health Monitoring.

Noncontact super-resolution guided wave array imaging of subwavelength defects using a multiscale deep learning approach

Yongchao Yang, Homin Song, 2020 .

Full-field, high-spatial-resolution detection of local structural damage from low-resolution random strain field measurements

R. Bruce Weisman, Sergei M. Bachilo, Satish Nagarajaiah, 2017 .

C. Farrar, H. Mukundan, D. Mascareñas, 2019, Front. Cell Dev. Biol..

Computer vision‐based real‐time cable tension estimation algorithm using complexity pursuit from video and its application in Fred‐Hartman cable‐stayed bridge

Satish Nagarajaiah, Yongchao Yang, Debasish Jana, 2022, Structural Control and Health Monitoring.

Harnessing data structure for health monitoring and assessment of civil structures: sparse representation and low-rank structure

Yongchao Yang, Yongchao Yang, 2014 .

Blind Identification of Output-Only Systems and Structural Damage via Sparse Representations

Yongchao Yang, Satish Nagarajaiah, Satish Nagarajaiah, 2021 .

Augmented reality for next generation infrastructure inspections

F. Moreu, Yongchao Yang, D. Mascarenas, 2018, Structural Health Monitoring.

Accelerated noncontact guided wave array imaging via sparse array data reconstruction.

Yongchao Yang, Homin Song, 2022, Ultrasonics.

Blind Identification of Output-Only Systems and Structural Damage via Sparse Representations

Satish Nagarajaiah, Yongchao Yang, S. Nagarajaiaha, 2021 .

Blind identification of full-field vibration modes of output-only structures from uniformly-sampled, possibly temporally-aliased (sub-Nyquist), video measurements

Charles R. Farrar, Satish Nagarajaiah, Yongchao Yang, 2017 .

Blind identification of full-field vibration modes from video measurements with phase-based video motion magnification

Charles R. Farrar, Yongchao Yang, Charles Dorn, 2017 .

Identification of Full-Field Dynamic Loads on Structures Using Computer Vision and Unsupervised Machine Learning

Charles R. Farrar, Yongchao Yang, David Mascareñas, 2017 .

Establishment of Full-Field, Full-Order Dynamic Model of Cable Vibration by Video Motion Manipulations

Charles R. Farrar, Yongchao Yang, David Mascareñas, 2017 .

Real-Time Output-Only Identification of Time-Varying Cable Tension from Accelerations via Complexity Pursuit

Yongchao Yang, Satish Nagarajaiah, Peng Zhou, 2016 .

Blind identification of damage in time-varying systems using independent component analysis with wavelet transform

Yongchao Yang, Satish Nagarajaiah, Satish Nagarajaiah, 2014 .

Data Compression of Structural Seismic Responses via Principled Independent Component Analysis

Yongchao Yang, Satish Nagarajaiah, Satish Nagarajaiah, 2014 .

Structural damage identification via a combination of blind feature extraction and sparse representation classification

Satish Nagarajaiah, Yongchao Yang, Satish Nagarajaiah, 2014 .

Blind modal identification of output‐only structures in time‐domain based on complexity pursuit

Yongchao Yang, Satish Nagarajaiah, Satish Nagarajaiah, 2013 .

Time-Frequency Blind Source Separation Using Independent Component Analysis for Output-Only Modal Identification of Highly Damped Structures

Yongchao Yang, Satish Nagarajaiah, Satish Nagarajaiah, 2013 .

Experimental Modal Analysis of Tumorigenesis and Cancer Metastasis

Charles R. Farrar, Harshini Mukundan, David Mascareñas, 2019, The FASEB Journal.

CNN-LSTM deep learning architecture for computer vision-based modal frequency detection

Yongchao Yang, Rahul Rai, M. Amin Karami, 2020 .

Hierarchical deep learning for data-driven identification of reduced-order models of nonlinear dynamical systems

Yongchao Yang, Shanwu Li, Yongchao Yang, 2021, Nonlinear Dynamics.

Real-time cable tension estimation from acceleration measurements using wireless sensors with packet data losses: analytics with compressive sensing and sparse component analysis

Satish Nagarajaiah, Yongchao Yang, Shunlong Li, 2021, Journal of Civil Structural Health Monitoring.

Extracting full-field subpixel structural displacements from videos via deep learning

Yongchao Yang, Lele Luan, Hao Sun, 2020, Journal of Sound and Vibration.

Affinity propagation clustering of full-field, high-spatial-dimensional measurements for robust output-only modal identification: A proof-of-concept study

Charles Dorn, Yongchao Yang, C. Dorn, 2020 .

Reference-free detection of minute, non-visible, damage using full-field, high-resolution mode shapes output-only identified from digital videos of structures

Charles R. Farrar, James Theiler, Yongchao Yang, 2018 .

Efficient Full-Field Operational Modal Analysis Using Neuromorphic Event-Based Imaging

Charles Dorn, Garrett T. Kenyon, David Mascareñas, 2017 .

Extraction of Full-Field Structural Dynamics from Digital Video Measurements in Presence of Large Rigid Body Motion

Charles R. Farrar, Charles Dorn, David Mascareñas, 2017 .

Full-field Structural Dynamics by Video Motion Manipulation

Charles R. Farrar, Yongchao Yang, David Mascarenas, 2017 .

Automated Extraction of Mode Shapes Using Motion Magnified Video and Blind Source Separation

Charles R. Farrar, Charles Dorn, Tyler Mancini, 2016 .

Estimation of full‐field dynamic strains from digital video measurements of output‐only beam structures by video motion processing and modal superposition

Charles R. Farrar, Yongchao Yang, David Mascareñas, 2019, Structural Control and Health Monitoring.

Blind, simultaneous identification of full-field vibration modes and large rigid-body motion of output-only structures from digital video measurements

Charles R. Farrar, Charles Dorn, David Mascareñas, 2020 .

Modeling and harnessing sparse and low‐rank data structure: a new paradigm for structural dynamics, identification, damage detection, and health monitoring

Yongchao Yang, Satish Nagarajaiah, Satish Nagarajaiah, 2017 .

Super-resolution visualization of subwavelength defects via deep learning-enhanced ultrasonic beamforming: A proof-of-principle study

Yongchao Yang, Homin Song, Yongchao Yang, 2020 .

3D structural vibration identification from dynamic point clouds

David Mascareñas, Eloi Figueiredo, Yongchao Yang, 2022, Mechanical Systems and Signal Processing.

Full-field Imaging and Modeling of Structural Dynamics with Digital Video Cameras

Charles R. Farrar, Yongchao Yang, David Mascarenas, 2017 .

Robust data transmission and recovery of images by compressed sensing for structural health diagnosis

Yongchao Yang, Satish Nagarajaiah, Satish Nagarajaiah, 2017 .

Dynamic Imaging: Real-Time Detection of Local Structural Damage with Blind Separation of Low-Rank Background and Sparse Innovation

Yongchao Yang, Satish Nagarajaiah, Satish Nagarajaiah, 2016 .

Output-only modal identification with limited sensors using sparse component analysis

Yongchao Yang, Satish Nagarajaiah, Satish Nagarajaiah, 2013 .

Harnessing data structure for recovery of randomly missing structural vibration responses time history: Sparse representation versus low-rank structure

Yongchao Yang, Satish Nagarajaiah, Satish Nagarajaiah, 2016 .

Data-driven identification of nonlinear normal modes via physics-integrated deep learning

Yongchao Yang, Shanwu Li, 2021, Nonlinear Dynamics.

Data compression of very large‐scale structural seismic and typhoon responses by low‐rank representation with matrix reshape

Yongchao Yang, Satish Nagarajaiah, Yi-Qing Ni, 2015 .

Strain-sensing smart skin: A noncontact optical strain sensor using single-walled carbon nanotubes

Satish Nagarajaiah, S. Bachilo, R. Weisman, 2016 .

Sparse and Random Sampling Techniques for High-Resolution, Full-Field, BSS-Based Structural Dynamics Identification from Video

Yongchao Yang, Andre Green, David Mascareñas, 2020, Sensors.

Nonnegative matrix factorization-based blind source separation for full-field and high-resolution modal identification from video

Yongchao Yang, Eloi Figueiredo, David Mascareñas, 2020, Journal of Sound and Vibration.

Output-only modal identification by compressed sensing: Non-uniform low-rate random sampling

Yongchao Yang, Satish Nagarajaiah, Satish Nagarajaiah, 2015 .

Potential Structural Health Monitoring Tools to Mitigate Corruption in the Construction Industry Associated with Rapid Urbanization

Alessandro Cattaneo, Yongchao Yang, David Mascareñas, 2016 .

A recurrent neural network framework with an adaptive training strategy for long-time predictive modeling of nonlinear dynamical systems

Shanwu Li, Yongchao Yang, Yongchao Yang, 2021 .

A holistic cyber-physical security protocol for authenticating the provenance and integrity of structural health monitoring imagery data

Yongchao Yang, Gyuhae Park, Andre Green, 2020, Structural Health Monitoring.

Efficient Full-Field Vibration Measurements and Operational Modal Analysis Using Neuromorphic Event-Based Imaging

Charles R. Farrar, Yongchao Yang, Charles Dorn, 2018, Journal of Engineering Mechanics.

Augmented reality for next generation infrastructure inspections

Fernando Moreu, Alessandro Cattaneo, Troy Harden, 2020, Structural Health Monitoring.