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