Yan Zeng
- An adaptive data-driven subspace polynomial dimensional decomposition for high-dimensional uncertainty quantification based on maximum entropy method and sparse Bayesian learning. In: Structural Safety, v. 108 (May 2024). (2024):
- Deep learning-based identification of vehicular moving forces for bridges without axle configurations. In: Engineering Structures, v. 304 (April 2024). (2024):
- Automated building layout generation using deep learning and graph algorithms. In: Automation in Construction, v. 154 (October 2023). (2023):
- Optimal planning of indoor laser scans based on continuous optimization. In: Automation in Construction, v. 143 (November 2022). (2022):
- 3D model-based scan planning for space frame structures considering site conditions. In: Automation in Construction, v. 140 (August 2022). (2022):
- Towards automated extraction for terrestrial laser scanning data of building components based on panorama and deep learning. In: Journal of Building Engineering, v. 50 (June 2022). (2022):
- High-volume point cloud data simplification based on decomposed graph filtering. In: Automation in Construction, v. 129 (September 2021). (2021):
- A robust Delaunay-AFT based parallel method for the generation of large-scale fully constrained meshes. In: Computers & Structures, v. 228 (February 2020). (2020):
- Seismic design or retrofit of buildings with metallic structural fuses by the damage-reduction spectrum. In: Earthquake Engineering and Engineering Vibration, v. 14, n. 1 (February 2015). (2015):
- Field measurement and practical design of a lightweight composite bridge deck. In: Journal of Constructional Steel Research, v. 147 (August 2018). (2018):
- The Stochastic damage-reduction spectrum for seismic design of buildings with structural fuses. In: The Structural Design of Tall and Special Buildings, v. 26, n. 16 (November 2017). (2017):