Yadong Xue 
- : MatDEM-based study of disc cutter force model in open TBM tunnels: Incorporating installation radius and synergistic effects. In: Underground Space.
- (2024): Model-based offline reinforcement learning framework for optimizing tunnel boring machine operation. In: Underground Space, v. 19 (December 2024).
- (2021): Analysis on the Construction Timing and Stability of Double-layer’s initial supports of Soft Rock Tunnel Based on Convergence-Confinement Method. In: IOP Conference Series: Earth and Environmental Science, v. 861, n. 4 (1 October 2021).
- (2023): Time-Variant System Reliability Analysis of Concrete Sewer Pipes under Corrosion Considering Multiple Failure Modes. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 9, n. 1 (March 2023).
- (2023): Study on disc cutter chipping of TBM based on field data and particle flow code simulation. In: Underground Space, v. 9 (April 2023).
- (2022): 3D reconstruction and automatic leakage defect quantification of metro tunnel based on SfM-Deep learning method. In: Underground Space, v. 7, n. 3 (June 2022).
- (2014): Cut-slope versus shallow tunnel: Risk-based decision making framework for alternative selection. In: Engineering Geology, v. 176 (June 2014).
- (2023): Rock mass fracture maps prediction based on spatiotemporal image sequence modeling. In: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 4 (March 2023).
- (2022): Effect of Normal Transformation Methods on Performance of Multivariate Normal Distribution. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 8, n. 1 (March 2022).
- (2022): Resilience-Based Design of Infrastructure: Review of Models, Methodologies, and Computational Tools. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 8, n. 1 (March 2022).
- (2021): A deep learning-based approach for refined crack evaluation from shield tunnel lining images. In: Automation in Construction, v. 132 (December 2021).
- (2021): Probabilistic Analysis of Tunnel Roof Deflection under Sequential Excavation Using ANN-Based Monte Carlo Simulation and Simplified Reliability Approach. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 7, n. 4 (December 2021).
- (2022): An optimization strategy to improve the deep learning‐based recognition model of leakage in shield tunnels. In: Computer-Aided Civil and Infrastructure Engineering, v. 37, n. 3 (2 February 2022).
- (2021): Novel SfM-DLT method for metro tunnel 3D reconstruction and Visualization. In: Underground Space, v. 6, n. 2 (April 2021).
- (2020): Deep learning-based automatic recognition of water leakage area in shield tunnel lining. In: Tunnelling and Underground Space Technology, v. 104 (October 2020).
- (2018): A Fast Detection Method via Region-Based Fully Convolutional Neural Networks for Shield Tunnel Lining Defects. In: Computer-Aided Civil and Infrastructure Engineering, v. 33, n. 8 (July 2018).
- (2016): Behaviour of tunnel lining strengthened by textile-reinforced concrete. In: Structure and Infrastructure Engineering, v. 12, n. 8 (August 2016).
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