Shanwu Li 
- : Efficient data-driven nonlinear system identification for structural health monitoring: A proof-of-principle study. In: Advances in Structural Engineering.
- (2024): Effect of kaolin and sepiolite on fume emissions of rubber modified asphalt. In: Construction and Building Materials, v. 416 (February 2024).
- (2023): Data-Driven Modeling of Parameterized Nonlinear Dynamical Systems with a Dynamics-Embedded Conditional Generative Adversarial Network. In: Journal of Engineering Mechanics (ASCE), v. 149, n. 11 (November 2023).
- (2023): Efficient regional seismic risk assessment via deep generative learning of surrogate models. In: Earthquake Engineering and Structural Dynamics, v. 52, n. 11 (June 2023).
- (2023): Efficient Data-Driven Modeling of Nonlinear Dynamical Systems via Metalearning. In: Journal of Engineering Mechanics (ASCE), v. 149, n. 3 (March 2023).
- (2021): Data‐driven modeling of bridge buffeting in the time domain using long short‐term memory network based on structural health monitoring. In: Structural Control and Health Monitoring, v. 28, n. 8 (4 July 2021).
- (2018): Data-driven modeling of vortex-induced vibration of a long-span suspension bridge using decision tree learning and support vector regression. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 172 (January 2018).
- (2017): Cluster analysis of winds and wind-induced vibrations on a long-span bridge based on long-term field monitoring data. In: Engineering Structures, v. 138 (May 2017).
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