Wenjie Liao 
- : Hybrid surrogate model combining physics and data for seismic drift estimation of shear‐wall structures. In: Earthquake Engineering and Structural Dynamics.
- : Intelligent design of shear wall layout based on diffusion models. In: Computer-Aided Civil and Infrastructure Engineering.
- (2024): Rapid seismic-damage assessment method for buildings on a regional scale based on spectrum-compatible data augmentation and deep learning. In: Soil Dynamics and Earthquake Engineering, v. 178 (March 2024).
- (2024): Beam layout design of shear wall structures based on graph neural networks. In: Automation in Construction, v. 158 (February 2024).
- (2024): Generative AI design for building structures. In: Automation in Construction, v. 157 (January 2024).
- (2023): Intelligent Generative Design for Shear Wall Cross-Sectional Size Using Rule-Embedded Generative Adversarial Network. In: Journal of Structural Engineering (ASCE), v. 149, n. 11 (November 2023).
- (2023): Semi-supervised learning method incorporating structural optimization for shear-wall structure design using small and long-tailed datasets. In: Journal of Building Engineering, v. 79 (November 2023).
- (2023): Knowledge‐enhanced graph neural networks for construction material quantity estimation of reinforced concrete buildings. In: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 4 (November 2023).
- (2023): Numerical simulation and seismic performance analysis of sacrificial-energy dissipation beam-column joint. In: Engineering Structures, v. 296 (December 2023).
- (2023): Base‐isolation design of shear wall structures using physics‐rule‐co‐guided self‐supervised generative adversarial networks. In: Earthquake Engineering and Structural Dynamics, v. 52, n. 11 (June 2023).
- (2022): Knowledge-enhanced generative adversarial networks for schematic design of framed tube structures. In: Automation in Construction, v. 144 (December 2022).
- (2023): Intelligent beam layout design for frame structure based on graph neural networks. In: Journal of Building Engineering, v. 63 (January 2023).
- (2023): Intelligent design of shear wall layout based on attention-enhanced generative adversarial network. In: Engineering Structures, v. 274 (January 2023).
- (2022): A cost-benefit analysis of sensor quality and spatial density for rapid regional post-event seismic damage assessment: Application to Istanbul. In: Soil Dynamics and Earthquake Engineering, v. 163 (December 2022).
- (2022): Integrated Schematic Design Method for Shear Wall Structures: A Practical Application of Generative Adversarial Networks. In: Buildings, v. 12, n. 9 (16 September 2022).
- (2022): Influence of accelerometer type on uncertainties in recorded ground motions and seismic damage assessment. In: Bulletin of Earthquake Engineering, v. 20, n. 9 (July 2022).
- (2022): Intelligent design method for beam and slab of shear wall structure based on deep learning. In: Journal of Building Engineering, v. 57 (October 2022).
- (2022): Intelligent structural design of shear wall residence using physics‐enhanced generative adversarial networks. In: Earthquake Engineering and Structural Dynamics, v. 51, n. 7 (June 2022).
- (2022): Digital Twin-Based Investigation of a Building Collapse Accident. In: Advances in Civil Engineering, v. 2022 (January 2022).
- (2021): Automated structural design of shear wall residential buildings using generative adversarial networks. In: Automation in Construction, v. 132 (December 2021).
- (2021): Deep Transfer Learning and Time-Frequency Characteristics-Based Identification Method for Structural Seismic Response. In: Frontiers in Built Environment, v. 7 (January 2021).
- (2021): Comparison of seismic performance between typical structural steel buildings designed following the Chinese and United States codes. In: Advances in Structural Engineering, v. 24, n. 9 (February 2021).
- (2019): Development of a novel sacrificial‐energy dissipation outrigger system for tall buildings. In: Earthquake Engineering and Structural Dynamics, v. 48, n. 15 (December 2019).
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