Limao Zhang 
- (2024): Physics-guided deep learning for driving force estimation in synchronous tunnel boring machines under missing cylinders. In: Automation in Construction, v. 161 (Mai 2024).
- (2024): Risk Assessment of Subway Station Fire By Using a Bayesian Network-Based Scenario Evolution Model. In: Journal of Civil Engineering and Management, v. 30, n. 3 (12 März 2024).
- (2024): Robust multi-scale time series prediction for building carbon emissions with explainable deep learning. In: Energy and Buildings, v. 312 (Juni 2024).
- : A transformer-based deep learning method for automatic pixel-level crack detection and feature quantification. In: Engineering, Construction and Architectural Management.
- (2024): Physics-informed deep reinforcement learning for enhancement on tunnel boring machine's advance speed and stability. In: Automation in Construction, v. 158 (Februar 2024).
- (2023): Time series clustering-enabled geological condition perception in tunnel boring machine excavation. In: Automation in Construction, v. 153 (September 2023).
- (2024): A probabilistic deep reinforcement learning approach for optimal monitoring of a building adjacent to deep excavation. In: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 5 (Februar 2024).
- (2023): A simulation-aided approach in examining the viability of passive daylighting techniques on inclined windows. In: Energy and Buildings, v. 282 (März 2023).
- (2023): Time series prediction of tunnel boring machine (TBM) performance during excavation using causal explainable artificial intelligence (CX-AI). In: Automation in Construction, v. 147 (März 2023).
- (2022): Probabilistic Life Prediction of Tunnel Boring Machine under Wearing Conditions with Incomplete Information. In: Buildings, v. 12, n. 11 (27 Oktober 2022).
- (2023): Semi-supervised learning-based point cloud network for segmentation of 3D tunnel scenes. In: Automation in Construction, v. 146 (Februar 2023).
- (2022): Sewer defect detection from 3D point clouds using a transformer-based deep learning model. In: Automation in Construction, v. 136 (April 2022).
- (2021): Risk Prediction and Diagnosis of Water Seepage in Operational Shield Tunnels Based on Random Forest. In: Journal of Civil Engineering and Management, v. 27, n. 7 (11 Oktober 2021).
- (2022): Simulation-based passenger evacuation optimization in metro stations considering multi-objectives. In: Automation in Construction, v. 133 (Januar 2022).
- (2021): Probabilistic assessment of time to cracking of concrete cover due to corrosion using semantic segmentation of imaging probe sensor data. In: Automation in Construction, v. 132 (Dezember 2021).
- (2021): Spatio-temporal feature fusion for real-time prediction of TBM operating parameters: A deep learning approach. In: Automation in Construction, v. 132 (Dezember 2021).
- (2021): Semi-supervised learning with GAN for automatic defect detection from images. In: Automation in Construction, v. 128 (August 2021).
- (2021): Predicting building damages in mega-disasters under uncertainty: An improved Bayesian network learning approach. In: Sustainable Cities and Society, v. 66 (März 2021).
- (2021): Roles of artificial intelligence in construction engineering and management: A critical review and future trends. In: Automation in Construction, v. 122 (Februar 2021).
- (2021): Probabilistic fatigue life of welded plate joints under uncertainty in Arctic areas. In: Journal of Constructional Steel Research, v. 176 (Januar 2021).
- (2020): A spatial-channel hierarchical deep learning network for pixel-level automated crack detection. In: Automation in Construction, v. 119 (November 2020).
- (2020): Structural Health-Monitoring and Assessment in Tunnels: Hybrid Simulation Approach. In: Journal of Performance of Constructed Facilities (ASCE), v. 34, n. 4 (August 2020).
- (2014): Towards a safety management approach for adjacent buildings in tunneling environments: Case study in China. In: Building and Environment, v. 75 (Mai 2014).
- (2014): A simulation-based decision model for designing contract period in building energy performance contracting. In: Building and Environment, v. 71 (Januar 2014).
- (2016): Simulation-Based Analysis of Tunnel Boring Machine Performance in Tunneling Excavation. In: Journal of Computing in Civil Engineering, v. 30, n. 4 (Juli 2016).
- (2016): Simulation-based route planning for pedestrian evacuation in metro stations: A case study. In: Automation in Construction, v. 71 (November 2016).
- (2016): Strategies to Reduce Ground Settlement from Shallow Tunnel Excavation: A Case Study in China. In: Journal of Construction Engineering and Management, v. 142, n. 5 (Mai 2016).
- (2018): Probabilistic analysis of tunneling-induced building safety assessment using a hybrid FE-copula model. In: Structure and Infrastructure Engineering, v. 14, n. 8 (Dezember 2018).
- (2018): Simulation-Hybrid Approach to Protecting Aging Bridges against Nearby Tunnel Excavation. In: Journal of Performance of Constructed Facilities (ASCE), v. 32, n. 4 (August 2018).
- (2018): Sensitivity analysis of structural health risk in operational tunnels. In: Automation in Construction, v. 94 (Oktober 2018).
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