Xiaohang Zhou 
- : Anomaly detection for bridge health monitoring data based on multiple encoded images and convolutional neural network. In: Structure and Infrastructure Engineering.
- : Comparative Study on CNN-based Bridge Seismic Damage Identification Using Various Features. In: KSCE Journal of Civil Engineering.
- : Deep neural network based time–frequency decomposition for structural seismic responses training with synthetic samples. In: Computer-Aided Civil and Infrastructure Engineering.
- (2024): Cross-domain damage identification of bridge based on generative adversarial and deep adaptation networks. In: Structures, v. 64 (June 2024).
- (2024): DNN surrogate model based cable force optimization for cantilever erection construction of large span arch bridge with concrete filled steel tube. In: Advances in Engineering Software, v. 189 (March 2024).
- (2024): Prediction of construction cable forces of CFST arch bridge based on DNN. In: Structures, v. 61 (March 2024).
- (2022): Time-dependent reliability analysis of the suspender in half-through arch bridge considering temperature effect. In: Structures, v. 46 (December 2022).
- (2015): Statistical Analysis and Long-Term Operational Monitoring of Sutong Bridge. Presented at: IABSE Workshop: Safety, Robustness and Condition Assessment of Structures, Helsinki, Finland, 11-12 February 2015.
- (2017): Modal parameter identification of a curved cable-stayed model bridge based on EDA and DATA-SSI. Presented at: IABSE Symposium: Engineering the Future, Vancouver, Canada, 21-23 September 2017.
- (2019): Tension Identification of Suspenders with Supplemental Dampers for Through and Half-Through Arch Bridges under Construction. In: Journal of Structural Engineering (ASCE), v. 145, n. 3 (March 2019).
- (2015): A novel finite element model updating method based on substructure and response surface model. In: Engineering Structures, v. 103 (November 2015).
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