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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Wang, Zitong / Li, Qilin / Chen, Wensu / Hao, Hong / Li, Ling (2024): Fragment prediction of reinforced concrete wall under close-in explosion using Fragment Graph Network (FGN). In: Computers & Structures, v. 305 (December 2024).

    https://doi.org/10.1016/j.compstruc.2024.107556

  2. Shao, Yanda / Li, Ling / Li, Jun / Li, Qilin / An, Senjian / Hao, Hong: 3DGEN: a framework for generating custom-made synthetic 3D datasets for civil structure health monitoring. In: Structural Health Monitoring.

    https://doi.org/10.1177/14759217241265540

  3. Shao, Yanda / Li, Ling / Li, Jun / Li, Qilin / An, Senjian / Hao, Hong (2024): 3D displacement measurement using a single-camera and mesh deformation neural network. In: Engineering Structures, v. 318 (November 2024).

    https://doi.org/10.1016/j.engstruct.2024.118767

  4. Wang, Ruhua / Li, Jun / Li, Ling / An, Senjian / Ezard, Bradley / Li, Qilin / Hao, Hong (2024): Structural damage identification by using physics-guided residual neural networks. In: Engineering Structures, v. 318 (November 2024).

    https://doi.org/10.1016/j.engstruct.2024.118703

  5. Shao, Yanda / Li, Ling / Li, Jun / Li, Qilin / An, Senjian / Hao, Hong (2024): Out-of-plane full-field vibration displacement measurement with monocular computer vision. In: Automation in Construction, v. 165 (September 2024).

    https://doi.org/10.1016/j.autcon.2024.105507

  6. Cheng, Ruishan / Chen, Wensu / Hao, Hong / Li, Qilin (2024): Prediction of BLEVE-induced response of road tunnel using Transformer network with modified self-attention (SAMT). In: Engineering Structures, v. 314 (September 2024).

    https://doi.org/10.1016/j.engstruct.2024.118415

  7. Li, Qilin / Wang, Zitong / Chen, Wensu / Li, Ling / Hao, Hong (2024): Advancing blast fragmentation simulation of RC slabs: A graph neural network approach. In: Engineering Structures, v. 308 (June 2024).

    https://doi.org/10.1016/j.engstruct.2024.118009

  8. Li, Qilin / Wang, Zitong / Li, Ling / Hao, Hong / Chen, Wensu / Shao, Yanda (2023): Machine learning prediction of structural dynamic responses using graph neural networks. In: Computers & Structures, v. 289 (December 2023).

    https://doi.org/10.1016/j.compstruc.2023.107188

  9. Wang, Ruhua / Shao, Yanda / Li, Qilin / Li, Ling / Li, Jun / Hao, Hong (2023): A novel transformer-based semantic segmentation framework for structural condition assessment. In: Structural Health Monitoring, v. 23, n. 2 (July 2023).

    https://doi.org/10.1177/14759217231182303

  10. Zheng, Wenhao / Li, Jun / Li, Qilin / Hao, Hong (2023): Multi‐channel response reconstruction using transformer based generative adversarial network. In: Earthquake Engineering and Structural Dynamics, v. 52, n. 11 (June 2023).

    https://doi.org/10.1002/eqe.3960

  11. Shao, Yanda / Li, Ling / Li, Jun / Li, Qilin / An, Senjian / Hao, Hong (2023): Monocular vision based 3D vibration displacement measurement for civil engineering structures. In: Engineering Structures, v. 293 (October 2023).

    https://doi.org/10.1016/j.engstruct.2023.116661

  12. Li, Qilin / Wang, Yang / Shao, Yanda / Li, Ling / Hao, Hong (2023): A comparative study on the most effective machine learning model for blast loading prediction: From GBDT to Transformer. In: Engineering Structures, v. 276 (February 2023).

    https://doi.org/10.1016/j.engstruct.2022.115310

  13. Li, Qilin / Mariñas, Benito J. / Snoeyink, Vernon L. / Campos, Carlos (2004): Pore Blockage Effects on Atrazine Adsorption in a Powdered Activated Carbon/Membrane System. II: Model Verification and Application. In: Journal of Environmental Engineering (ASCE), v. 130, n. 11 (November 2004).

    https://doi.org/10.1061/(asce)0733-9372(2004)130:11(1253)

  14. Li, Qilin / Mariñas, Benito J. / Snoeyink, Vernon L. / Campos, Carlos (2004): Pore Blockage Effects on Atrazine Adsorption in a Powdered Activated Carbon/Membrane System. I: Model Development. In: Journal of Environmental Engineering (ASCE), v. 130, n. 11 (November 2004).

    https://doi.org/10.1061/(asce)0733-9372(2004)130:11(1242)

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