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