Yan Zeng
- (2024): 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 (Mai 2024).
- (2024): Deep learning-based identification of vehicular moving forces for bridges without axle configurations. In: Engineering Structures, v. 304 (April 2024).
- (2023): Automated building layout generation using deep learning and graph algorithms. In: Automation in Construction, v. 154 (Oktober 2023).
- (2022): 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 (Juni 2022).
- (2021): High-volume point cloud data simplification based on decomposed graph filtering. In: Automation in Construction, v. 129 (September 2021).
- (2020): A robust Delaunay-AFT based parallel method for the generation of large-scale fully constrained meshes. In: Computers & Structures, v. 228 (Februar 2020).
- (2015): 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 (Februar 2015).
- (2018): Field measurement and practical design of a lightweight composite bridge deck. In: Journal of Constructional Steel Research, v. 147 (August 2018).
- (2017): 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).
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