Gaoyang Liu 
- : Post-earthquake inspection of high-speed railway viaducts with multi-scale task interaction deep learning strategy. In: Advances in Structural Engineering.
- (2024): Enhancing concrete frost resistance prediction with an explainable neural network. In: Case Studies in Construction Materials, v. 21 (December 2024).
- (2024): Proposing an inherently interpretable machine learning model for shear strength prediction of reinforced concrete beams with stirrups. In: Case Studies in Construction Materials, v. 20 (July 2024).
- (2024): Component Identification and Depth Estimation for Structural Images Based on Multi-Scale Task Interaction Network. In: Buildings, v. 14, n. 4 (27 March 2024).
- (2023): BO-Stacking: A novel shear strength prediction model of RC beams with stirrups based on Bayesian Optimization and model stacking. In: Structures, v. 58 (December 2023).
- (2023): Two-Stream Boundary-Aware Neural Network for Concrete Crack Segmentation and Quantification. In: Structural Control and Health Monitoring, v. 2023 (February 2023).
- (2023): A hybrid strategy of AutoML and SHAP for automated and explainable concrete strength prediction. In: Case Studies in Construction Materials, v. 19 (December 2023).
- (2023): Evaluation of mechanical properties and anisotropy of 3D printed concrete at different temperatures. In: Structures, v. 51 (May 2023).
- (2023): Concrete compressive strength prediction using an explainable boosting machine model. In: Case Studies in Construction Materials, v. 18 (July 2023).
- (2023): Data-Driven Shear Strength Prediction of FRP-Reinforced Concrete Beams without Stirrups Based on Machine Learning Methods. In: Buildings, v. 13, n. 2 (14 February 2023).
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