Yuequan Bao 
- (2023): Transfer learning-based data anomaly detection for structural health monitoring. In: Structural Health Monitoring, v. 22, n. 5 (February 2023).
- (2023): Task-aware meta-learning paradigm for universal structural damage segmentation using limited images. In: Engineering Structures, v. 284 (June 2023).
- (2018): Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images. In: Structural Health Monitoring, v. 18, n. 3 (March 2018).
- (2020): Optimal policy for structure maintenance: A deep reinforcement learning framework. In: Structural Safety, v. 83 (March 2020).
- (2019): Video-based multiscale identification approach for tower vibration of a cable-stayed bridge model under earthquake ground motions. In: Structural Control and Health Monitoring, v. 26, n. 3 (January 2019).
- (2016): Sparsel1optimization-based identification approach for the distribution of moving heavy vehicle loads on cable-stayed bridges. In: Structural Control and Health Monitoring, v. 23, n. 1 (January 2016).
- (2015): Probabilistic deterioration model of high-strength steel wires and its application to bridge cables. In: Structure and Infrastructure Engineering, v. 11, n. 9 (September 2015).
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