Publications

You can also find my articles on my Google Scholar profile.

Selected Journal Articles

Advancing blast fragmentation simulation of RC slabs: A graph neural network approach

Published in Engineering Structures, 2024

This paper is about data-driven simulation of close-in blast fragmentation of concrete slabs using GNN

Recommended citation: Li, Qilin, et al. "Advancing blast fragmentation simulation of RC slabs: A graph neural network approach." Engineering Structures 308 (2024):118009.
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Machine learning prediction of BLEVE loading with graph neural networks

Published in Reliability Engineering & System Safety, 2024

This paper is about data-driven simulation of BLEVE blast wave propagation

Recommended citation: Li, Qilin, et al. "Machine learning prediction of BLEVE loading with graph neural networks." Reliability Engineering & System Safety 241 (2024):109639.
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A novel transformer-based semantic segmentation framework for structural condition assessment

Published in Structural Health Monitoring, 2024

This paper is about structural component and structural damage identification via vision-based semantic segmentation with SOTA Transformer networks.

Recommended citation: Wang, Ruhua, Yanda Shao, Qilin Li, Ling Li, Jun Li, and Hong Hao. "A novel transformer-based semantic segmentation framework for structural condition assessment." Structural Health Monitoring 23, no. 2 (2024): 1170-1183.
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A comparative study on the most effective machine learning model for blast loading prediction: From GBDT to Transformer

Published in Engineering Structures, 2023

This paper is a comparative study of commonly used machine learning approach for blast loading prediction.

Recommended citation: Li, Qilin, Yang Wang, Yanda Shao, Ling Li, and Hong Hao. "A comparative study on the most effective machine learning model for blast loading prediction: From GBDT to Transformer." Engineering Structures 276 (2023): 115310.
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Machine learning prediction of structural dynamic responses using graph neural networks

Published in Computers & Structures, 2023

This paper is about data-driven spatiotemporal simulation of structural dynamic responses.

Recommended citation: Li, Qilin, Zitong Wang, Ling Li, Hong Hao, Wensu Chen, and Yanda Shao. "Machine learning prediction of structural dynamic responses using graph neural networks." Computers & Structures 289 (2023): 107188.
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Multi-View Diffusion Process for Spectral Clustering and Image Retrieval

Published in IEEE Transactions on Image Processing, 2023

This paper is about image retrieval and clustering using a novel multi-view diffusion process.

Recommended citation: Li, Qilin, Senjian An, Ling Li, Wanquan Liu, and Yanda Shao. "Multi-View Diffusion Process for Spectral Clustering and Image Retrieval." IEEE Transactions on Image Processing (2023).
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