Hai Liu 
- (2023): Void Detection Behind Shield Tunnel Segments Using Ground Penetrating Radar: A Laboratory Experiment. In: Journal of Physics: Conference Series, v. 2651, n. 1 (1 December 2023).
- (2024): Reverse-time migration of GPR data for imaging cavities behind a reinforced shield tunnel. In: Tunnelling and Underground Space Technology, v. 146 (April 2024).
- (2024): Influence of synchronous grouting on surrounding sandy cobbles during shield tunnelling process: Insights from a scaled model test. In: Tunnelling and Underground Space Technology, v. 147 (May 2024).
- (2024): Mitigation of earthquake-induced liquefaction and lateral spread deformation by applying ground granulated blast furnace slag. In: Soil Dynamics and Earthquake Engineering, v. 178 (March 2024).
- (2024): Prediction of surface settlement caused by synchronous grouting during shield tunneling in coarse-grained soils: A combined FEM and machine learning approach. In: Underground Space, v. 16 (June 2024).
- (2024): Assessing the impact of inertial load on the buckling behavior of piles with large slenderness ratios in liquefiable deposits. In: Soil Dynamics and Earthquake Engineering, v. 176 (January 2024).
- (2023): Evaluation of the antenna parameters for inspection of hidden defects behind a reinforced shield tunnel using GPR. In: Tunnelling and Underground Space Technology, v. 140 (October 2023).
- (2023): Seismic damage characteristics of large-diameter shield tunnel lining under extreme-intensity earthquake. In: Soil Dynamics and Earthquake Engineering, v. 171 (August 2023).
- (2023): Automatic recognition and localization of underground pipelines in GPR B-scans using a deep learning model. In: Tunnelling and Underground Space Technology, v. 134 (April 2023).
- (2022): Research on 3D Defect Information Management of Drainage Pipeline Based on BIM. In: Buildings, v. 12, n. 2 (18 January 2022).
- (2022): Study of Damage Quantification of Concrete Drainage Pipes Based on Point Cloud Segmentation and Reconstruction. In: Buildings, v. 12, n. 2 (18 January 2022).
- (2022): Detection of early-stage rebar corrosion using a polarimetric ground penetrating radar system. In: Construction and Building Materials, v. 317 (January 2022).
- (2022): Deep learning–based nondestructive evaluation of reinforcement bars using ground‐penetrating radar and electromagnetic induction data. In: Computer-Aided Civil and Infrastructure Engineering, v. 37, n. 14 (August 2022).
- (2021): Research of NOx Reduction on a Low-Speed Two-Stroke Marine Heavy-Fuel Oil Engine. In: Journal of Energy Engineering, v. 147, n. 1 (February 2021).
- (2021): The role of TBM asymmetric tail-grouting on surface settlement in coarse-grained soils of urban area: Field tests and FEA modelling. In: Tunnelling and Underground Space Technology, v. 111 (May 2021).
- (2020): Experimental and numerical investigation on mechanical properties of grouted-sleeve splices. In: Construction and Building Materials, v. 260 (November 2020).
- (2020): A novel real-time monitoring system for the measurement of the annular grout thickness during simultaneous backfill grouting. In: Tunnelling and Underground Space Technology, v. 105 (November 2020).
- (2020): Detection and localization of rebar in concrete by deep learning using ground penetrating radar. In: Automation in Construction, v. 118 (October 2020).
- (2020): Model tests on tail-grouting process during URUP shield tunneling in soft soil. In: Tunnelling and Underground Space Technology, v. 103 (September 2020).
- (2018): Autonomous microscopic bunch inspection using region-based deep learning for evaluating graphite powder dispersion. In: Construction and Building Materials, v. 173 (June 2018).
- (2017): Time-frequency analysis of air-coupled GPR data for identification of delamination between pavement layers. In: Construction and Building Materials, v. 154 (November 2017).
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