Shengyuan Li 
- (2024): Energy efficiency and cost benefits of office-to-residential building transformation: Insights from Los Angeles. Dans: Journal of Building Engineering, v. 98 (décembre 2024).
- (2024): Bolt loosening angle measurement along full range of screw exposure length based on 3D point cloud. Dans: Automation in Construction, v. 168 (décembre 2024).
- (2024): Style-Controlled Image Synthesis of Concrete Damages Based on Fusion of Convolutional Encoder and Attention-Enhanced Conditional Generative Adversarial Network. Dans: Journal of Computing in Civil Engineering, v. 38, n. 6 (novembre 2024).
- (2024): Numerical simulation of chloride-induced reinforcement corrosion in cracked concrete based on mesoscopic model. Dans: Construction and Building Materials, v. 441 (août 2024).
- : Bolt loosening angle detection through arrangement shape-independent perspective transformation and corner point extraction based on semantic segmentation results. Dans: Structural Health Monitoring.
- (2023): High-resolution concrete damage image synthesis using conditional generative adversarial network. Dans: Automation in Construction, v. 147 (mars 2023).
- (2022): Degradation of Reinforced Concrete Beams Subjected to Sustained Loading and Multi-Environmental Factors. Dans: Buildings, v. 12, n. 9 (16 septembre 2022).
- (2018): Damage Classification for Masonry Historic Structures Using Convolutional Neural Networks Based on Still Images. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 33, n. 12 (novembre 2018).
- (2019): Automatic pixel‐level multiple damage detection of concrete structure using fully convolutional network. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 34, n. 7 (juin 2019).
- (2019): Image-Based Concrete Crack Detection Using Convolutional Neural Network and Exhaustive Search Technique. Dans: Advances in Civil Engineering, v. 2019 ( 2019).
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