Yuequan Bao 
- : Normalising flow-based vehicle load modeling for bridges. Dans: Structure and Infrastructure Engineering.
- (2023): Machine learning-based stochastic subspace identification method for structural modal parameters. Dans: Engineering Structures, v. 274 (janvier 2023).
- (2021): Machine‐learning‐based methods for output‐only structural modal identification. Dans: Structural Control and Health Monitoring, v. 28, n. 12 (septembre 2021).
- (2021): The 1st International Project Competition for Structural Health Monitoring (IPC-SHM, 2020): A summary and benchmark problem. Dans: Structural Health Monitoring, v. 20, n. 4 (avril 2021).
- (2021): Machine learning paradigm for structural health monitoring. Dans: Structural Health Monitoring, v. 20, n. 4 (avril 2021).
- (2021): Group sparsity-aware convolutional neural network for continuous missing data recovery of structural health monitoring. Dans: Structural Health Monitoring, v. 20, n. 4 (avril 2021).
- (2021): Attribute-based structural damage identification by few-shot meta learning with inter-class knowledge transfer. Dans: Structural Health Monitoring, v. 20, n. 4 (avril 2021).
- (2010): Compressive sampling for accelerometer signals in structural health monitoring. Dans: Structural Health Monitoring, v. 10, n. 3 (juin 2010).
- (2011): Dempster–Shafer evidence theory approach to structural damage detection. Dans: Structural Health Monitoring, v. 11, n. 1 (janvier 2011).
- (2012): Compressive sampling–based data loss recovery for wireless sensor networks used in civil structural health monitoring. Dans: Structural Health Monitoring, v. 12, n. 1 (septembre 2012).
- (2017): Compressive sensing of wireless sensors based on group sparse optimization for structural health monitoring. Dans: Structural Health Monitoring, v. 17, n. 4 (juillet 2017).
- (2017): A novel distribution regression approach for data loss compensation in structural health monitoring. Dans: Structural Health Monitoring, v. 17, n. 6 (décembre 2017).
- (2018): Computer vision and deep learning–based data anomaly detection method for structural health monitoring. Dans: Structural Health Monitoring, v. 18, n. 2 (janvier 2018).
- (2018): Analyzing and modeling inter-sensor relationships for strain monitoring data and missing data imputation: a copula and functional data-analytic approach. Dans: Structural Health Monitoring, v. 18, n. 4 (avril 2018).
- (2018): Compressive-sensing data reconstruction for structural health monitoring: a machine-learning approach. Dans: Structural Health Monitoring, v. 19, n. 1 (octobre 2018).
- (2019): A machine learning–based approach for adaptive sparse time–frequency analysis used in structural health monitoring. Dans: Structural Health Monitoring, v. 19, n. 6 (décembre 2019).
- (2011): Fractal Dimension-Based Damage Detection Method for Beams with a Uniform Cross-Section. FD-based damage detection method for beams. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 26, n. 3 ( 2011).
- (2012): Data Fusion-based Structural Damage Detection Under Varying Temperature Conditions. Dans: International Journal of Structural Stability and Dynamics, v. 12, n. 6 (décembre 2012).
- (2019): Modelling the spatial distribution of heavy vehicle loads on long-span bridges based on undirected graphical model. Dans: Structure and Infrastructure Engineering, v. 15, n. 11 (juin 2019).
- (2019): Automatic seismic damage identification of reinforced concrete columns from images by a region-based deep convolutional neural network. Dans: Structural Control and Health Monitoring, v. 26, n. 3 (février 2019).
- (2019): Convolutional neural network-based data anomaly detection method using multiple information for structural health monitoring. Dans: Structural Control and Health Monitoring, v. 26, n. 1 (janvier 2019).
- (2013): A data-driven approach for seismic damage detection of shear-type building structures using the fractal dimension of time-frequency features. Dans: Structural Control and Health Monitoring, v. 20, n. 9 (septembre 2013).
- (2015): Compressive sensing-based lost data recovery of fast-moving wireless sensing for structural health monitoring. Dans: Structural Control and Health Monitoring, v. 22, n. 3 (mars 2015).
- (2016): Identification of spatio-temporal distribution of vehicle loads on long-span bridges using computer vision technology. Dans: Structural Control and Health Monitoring, v. 23, n. 3 (mars 2016).
- (2017): Identification of time-varying cable tension forces based on adaptive sparse time-frequency analysis of cable vibrations. Dans: Structural Control and Health Monitoring, v. 24, n. 3 (mars 2017).
- (2018): Ice monitoring of a full-scale wind turbine blade using ultrasonic guided waves under varying temperature conditions. Dans: Structural Control and Health Monitoring, v. 25, n. 4 (avril 2018).
- (2012): Investigation of Temperature Effects on Modal Parameters of the China National Aquatics Center. Dans: Advances in Structural Engineering, v. 15, n. 7 (juillet 2012).
- (2018): Condition assessment of cables by pattern recognition of vehicle-induced cable tension ratio. Dans: Engineering Structures, v. 155 (janvier 2018).
- (2018): Experimental and numerical study on structural performance of reinforced concrete box sewer with localized extreme defect. Dans: Underground Space, v. 3, n. 2 (juin 2018).
- (2014): Emerging data technology in structural health monitoring: compressive sensing technology. Dans: Journal of Civil Structural Health Monitoring, v. 4, n. 2 (janvier 2014).
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