Xiaosong Shu

According to our database, Xiaosong Shu authored at least 8 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Considering the spatiotemporal association characteristics of multiple monitoring points: A deformation prediction framework for high arch dams during the initial operation period.

Xudong Chen, Liuyang Li, Qinghe Lu, Caiyu Liu, Jinjun Guo, Xiaosong Shu, Bo Li, Chongshi Gu

Adv. Eng. Informatics, 2026

2025

Ontology-driven intelligent assessment system for dam structural safety based on spatiotemporal anomaly detection framework.

Xiaosong Shu, Haibo Yang, Yuhang Zhou, Peng Xu, Xinyi Liu, Jinjun Guo, Yingchun Cai, Jingyu Fan, Fan Wu

Comput. Aided Civ. Infrastructure Eng., 2025

An integrated spatiotemporal trust and consensus fusion framework for dam safety assessment with multi-sensor anomaly detection.

Xiaosong Shu, Haibo Yang, Fan Wu, Yuhang Zhou, Peng Xu, Xinyi Liu, Jinjun Guo, Yingchun Cai, Jinyu Fan

Comput. Aided Civ. Infrastructure Eng., 2025

2023

Multi-expert attention network for long-term dam displacement prediction.

Yuhang Zhou, Tengfei Bao, Guoli Li, Xiaosong Shu, Yangtao Li

Adv. Eng. Informatics, August, 2023

2022

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

Eng. Comput., 2022

2021

A Novel Seepage Behavior Prediction and Lag Process Identification Method for Concrete Dams Using HGWO-XGBoost Model.

Kang Zhang, Chongshi Gu, Yantao Zhu, Siyu Chen, Bo Dai, Yangtao Li, Xiaosong Shu

IEEE Access, 2021

2020

Dam Safety Evaluation Based on Interval-Valued Intuitionistic Fuzzy Sets and Evidence Theory.

Xiaosong Shu, Tengfei Bao, Yangtao Li, Kang Zhang, Bangbin Wu

Sensors, 2020

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

IEEE Access, 2020