Yuchen Liao 
- : Channel-attention-based LSTM network for modeling temperature-induced responses of cable-stayed bridges. Dans: Structural Health Monitoring.
- (2024): Modal expansion-based deep learning framework for metamodeling vehicle-induced vibrations of bridges under vehicle fleets. Dans: Structures, v. 63 (mai 2024).
- (2023): A Frequency-Based Ground Motion Clustering Approach for Data-Driven Surrogate Modeling of Bridges. Dans: Journal of Engineering Mechanics (ASCE), v. 149, n. 9 (septembre 2023).
- (2022): A machine learning and game theory-based approach for predicting creep behavior of recycled aggregate concrete. Dans: Case Studies in Construction Materials, v. 17 (décembre 2022).
- (2022): Efficient creep prediction of recycled aggregate concrete via machine learning algorithms. Dans: Construction and Building Materials, v. 360 (décembre 2022).
- (2023): Attention-based LSTM (AttLSTM) neural network for Seismic Response Modeling of Bridges. Dans: Computers & Structures, v. 275 (janvier 2023).
- (2022): Identification of the scour depth of continuous girder bridges based on model updating and improved genetic algorithm. Dans: Advances in Structural Engineering, v. 25, n. 11 (mai 2022).
- (2022): Machine learning-based bridge cable damage detection under stochastic effects of corrosion and fire. Dans: Engineering Structures, v. 264 (août 2022).
- (2020): Post-blast performance and residual capacity of CFDST columns subjected to contact explosions. Dans: Journal of Constructional Steel Research, v. 167 (avril 2020).
Structurae coopère avec
