Loading publications…
The last 5 uploaded publications
Structural damage identification by using physics-guided residual neural networks
Ruhua Wang, Jun Li, Ling Li, Senjian An, Bradley Ezard, Qilin Li, Hao Hong (2024). Structural damage identification by using physics-guided residual neural networks. , 318, DOI: https://doi.org/10.1016/j.engstruct.2024.118703.
Article118 days ago3D displacement measurement using a single-camera and mesh deformation neural network
Yanda Shao, Ling Li, Jun Li, Qilin Li, Senjian An, Hong Hao (2024). 3D displacement measurement using a single-camera and mesh deformation neural network. , 318, DOI: https://doi.org/10.1016/j.engstruct.2024.118767.
Article118 days agoAdvancements in 3D displacement measurement for civil Structures: A monocular vision approach with moving cameras
Qilin Li, Yanda Shao, Ling Li, Jun Li, Hong Hao (2024). Advancements in 3D displacement measurement for civil Structures: A monocular vision approach with moving cameras. , DOI: https://doi.org/10.1016/j.measurement.2024.116060.
Article118 days agoNon‐probabilistic Structural Damage Identification With Uncertainties by Phase Space–Based CNN
Yue Zhong, Jun Li, Hong Hao, Ling Li (2025). Non‐probabilistic Structural Damage Identification With Uncertainties by Phase Space–Based CNN. , 2025(1), DOI: https://doi.org/10.1155/stc/5827324.
Article118 days agoDIMMC: A 3D vision approach for structural displacement measurement using a moving camera
Yanda Shao, Ling Li, Jun Li, Qilin Li, Senjian An, Hong Hao (2025). DIMMC: A 3D vision approach for structural displacement measurement using a moving camera. , 338, DOI: https://doi.org/10.1016/j.engstruct.2025.120566.
Article118 days ago