Jiyu Xin 
- (2024): Enhancing the physical properties of styrene-butadiene-styrene (SBS)-modified asphalt through polyetheramine-functionalized graphene oxide (PEA-GO) composites. In: Construction and Building Materials, v. 418 (März 2024).
- (2024): Autonomous detection of steel corrosion spatial variability in reinforced concrete using X-ray technology and deep learning-based semantic segmentation. In: Automation in Construction, v. 158 (Februar 2024).
- (2023): Probabilistic Life-Cycle Connectivity Assessment of Transportation Networks Using Deep Learning. In: Journal of Bridge Engineering (ASCE), v. 28, n. 9 (September 2023).
- (2023): A novel combined experimental-machine learning approach to estimate the probabilistic capacity of RC beams with spatially correlated rebar corrosion in transverse and longitudinal directions. In: Engineering Structures, v. 279 (März 2023).
- (2021): Reliability-based life-cycle cost design of asphalt pavement using artificial neural networks. In: Structure and Infrastructure Engineering, v. 17, n. 6 (August 2021).
- (2022): Effects of galvanostatic and artificial chloride environment methods on the steel corrosion spatial variability and probabilistic flexural capacity of RC beams. In: Structure and Infrastructure Engineering, v. 18, n. 10-11 (August 2022).
- (2022): Multi-objective optimisation of in-service asphalt pavement maintenance schedule considering system reliability estimated via LSTM neural networks. In: Structure and Infrastructure Engineering, v. 18, n. 7 (April 2022).
- (2021): Probabilistic estimation of flexural loading capacity of existing RC structures based on observational corrosion-induced crack width distribution using machine learning. In: Structural Safety, v. 91 (Juli 2021).
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