Yang Xu 
- (2024): Vision-Based Multiscale Construction Object Detection under Limited Supervision. In: Structural Control and Health Monitoring, v. 2024 (January 2024).
- (2023): Task-aware meta-learning paradigm for universal structural damage segmentation using limited images. In: Engineering Structures, v. 284 (June 2023).
- (2022): Typical advances of artificial intelligence in civil engineering. In: Advances in Structural Engineering, v. 25, n. 16 (September 2022).
- (2023): A topology description function‐enhanced neural network for topology optimization. In: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 8 (26 April 2023).
- (2022): Structural Health Diagnosis Under Limited Supervision. Presented at: IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022.
- (2019): Unsupervised deep learning method for bridge condition assessment based on intra-and inter-class probabilistic correlations of quasi-static responses. In: Structural Health Monitoring, v. 22, n. 1 (November 2019).
- (2022): A self‐sparse generative adversarial network for autonomous early‐stage design of architectural sketches. In: Computer-Aided Civil and Infrastructure Engineering, v. 37, n. 5 (14 March 2022).
- (2022): Structure‐PoseNet for identification of dense dynamic displacement and three‐dimensional poses of structures using a monocular camera. In: Computer-Aided Civil and Infrastructure Engineering, v. 37, n. 6 (20 April 2022).
- (2018): Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images. In: Structural Health Monitoring, v. 18, n. 3 (March 2018).
- (2021): Research on ballast breakage under tamping operation based on DEM–MBD coupling approach. In: Construction and Building Materials, v. 272 (February 2021).
- (2020): Relationship modeling between vehicle‐induced girder vertical deflection and cable tension by BiLSTM using field monitoring data of a cable‐stayed bridge. In: Structural Control and Health Monitoring, v. 28, n. 2 (October 2020).
- (2020): Synthesis, performance and working mechanism of a novel amphoteric polycarboxylate dispersant without chlorine ion. In: Construction and Building Materials, v. 247 (June 2020).
- (2017): Theoretical investigation and experimental validation on transient variation of particle concentration in a simulated consulting room in hospital. In: Building and Environment, v. 117 (May 2017).
- (2019): PZT transducer array enabled pipeline defect locating based on time-reversal method and matching pursuit de-noising. In: Smart Materials and Structures, v. 28, n. 7 (July 2019).
- (2019): Preparation of PVDF/TiO2 nanofibers with enhanced piezoelectric properties for geophone applications. In: Smart Materials and Structures, v. 28, n. 8 (August 2019).
- (2015): Probabilistic deterioration model of high-strength steel wires and its application to bridge cables. In: Structure and Infrastructure Engineering, v. 11, n. 9 (September 2015).
- (2014): Uniform and Pitting Corrosion Modeling for High-Strength Bridge Wires. In: Journal of Bridge Engineering (ASCE), v. 19, n. 7 (July 2014).
- (2018): Quantitative evaluation of compactness of concrete-filled fiber-reinforced polymer tubes using piezoceramic transducers and time difference of arrival. In: Smart Materials and Structures, v. 27, n. 3 (March 2018).
Structurae cooperates with
