The Prediction of Dam Displacement Time Series Using STL, Extra-Trees, and Stacked LSTM Neural Network. - Yangtao Li; Tengfei Bao; Jian Gong; Xiaosong Shu; Kang Zhang 003 (IEEE Access, 2020)

Dam Safety Evaluation Based on Interval-Valued Intuitionistic Fuzzy Sets and Evidence Theory. - Xiaosong Shu; Tengfei Bao; Yangtao Li; Kang Zhang 003; Bangbin Wu (Sensors, 2020)

A Novel Seepage Behavior Prediction and Lag Process Identification Method for Concrete Dams Using HGWO-XGBoost Model. - Kang Zhang 003; Chongshi Gu; Yantao Zhu; Siyu Chen 003; Bo Dai 008; Yangtao Li; Xiaosong Shu (IEEE Access, 2021)

VAE-TALSTM: a temporal attention and variational autoencoder-based long short-term memory framework for dam displacement prediction. - Xiaosong Shu; Tengfei Bao; Yangtao Li; Jian Gong; Kang Zhang 003 (Eng. Comput., 2022)

A robust real-time method for identifying hydraulic tunnel structural defects using deep learning and computer vision. - Yangtao Li; Tengfei Bao; Tianyu Li; Ruijie Wang (Comput. Aided Civ. Infrastructure Eng., 2023)

Multi-expert attention network for long-term dam displacement prediction. - Yuhang Zhou; Tengfei Bao; Guoli Li; Xiaosong Shu; Yangtao Li (Adv. Eng. Informatics, 2023)

A framework for automatic Real-Time Pixel-Level segmentation of underwater dam concrete cracks utilizing the CRTransU-Net model. - Yunlin Ma; Tengfei Bao; Yangtao Li; Mengfan Zhao (Adv. Eng. Informatics, 2025)

GANFormerNet: A UAV-based Concrete Crack Segmentation Model for Water-related Structures Using Vision Transformer and Graph Attention Network. - Yunlin Ma; Tengfei Bao; Yangtao Li; Mengfan Zhao; Zhenhao Wu; Chengbo Fan (Adv. Eng. Informatics, 2025)