Published in Advanced Engineering Informatics, 2026
This paper extracts interpretable equations for blast loading prediction from black-box machine learning models.
Recommended citation: Shi, Zifan, Qilin Li, Yanda Shao, Ling Li, and Hong Hao. "Discovering interpretable blast loading equations from black-box machine learning models." Advanced Engineering Informatics 71 (2026): 104244.
Paper
Published in Structural Health Monitoring, 2025
This paper presents U-GraphFormer, an unsupervised approach for detecting structural damage and assessing its severity.
Recommended citation: Liu, Jie, Qilin Li, Ling Li, and Senjian An. "Unsupervised structural damage detection and severity assessment via U-GraphFormer." Structural Health Monitoring (2025).
Paper
Published in Structural Health Monitoring, 2025
This paper integrates a text-to-image generative model with large language models to synthesize realistic crack images, improving deep-learning-based crack detection for structural health monitoring.
Recommended citation: Shao, Yanda, Ling Li, Jun Li, Xiaofang Yao, Qilin Li, and Hong Hao. "Advancing crack detection with generative AI for structural health monitoring." Structural Health Monitoring (2025).
Paper
Published in Computers & Structures, 2025
This paper presents a dynamic graph-based approach for predicting the spatiotemporal response of reinforced concrete structures subjected to impact loads.
Recommended citation: Li, Qilin, Zhijie Huang, Yanda Shao, Ling Li, Wensu Chen, and Hong Hao. "Dynamic graph-based approach for prediction of spatiotemporal response of RC structure to impact loads." Computers & Structures 316 (2025): 107861.
Paper
Published in Pattern Recognition, 2025
A diffusion process incorporating structural changes for improved subspace clustering.
Recommended citation: Zhu, Yanjiao, Qilin Li, Wanquan Liu, and Chuancun Yin. "Diffusion process with structural changes for subspace clustering." Pattern Recognition 158 (2025): 111066.
Paper
Published in Structural Safety, 2025
Probability-based risk assessment of secondary fragments from RC walls under close-in explosions.
Recommended citation: Wang, Zitong, Qilin Li, Wensu Chen, Hong Hao, and Ling Li. "A probability-based risk assessment of secondary fragments ejected from the reinforced concrete wall under close-in explosions." Structural Safety 114 (2025): 102565.
Paper
Published in Engineering Structures, 2025
A 3D vision approach (DIMMC) for structural displacement measurement using a moving camera.
Recommended citation: Shao, Yanda, Ling Li, Jun Li, Qilin Li, Senjian An, and Hong Hao. "DIMMC: A 3D vision approach for structural displacement measurement using a moving camera." Engineering Structures 338 (2025): 120566.
Paper
Published in Ocean Engineering, 2025
Deep learning with monocular surveillance cameras for robust 3D vessel trajectory monitoring.
Recommended citation: Shao, Yanda, Ling Li, Jun Li, Qilin Li, Senjian An, and Hong Hao. "Robust 3D vessel trajectory monitoring with monocular vision based deep learning and surveillance cameras." Ocean Engineering 332 (2025): 121429.
Paper
Published in Measurement, 2025
Monocular, moving-camera computer vision for 3D displacement measurement of civil structures.
Recommended citation: Li, Qilin, Yanda Shao, Ling Li, Jun Li, and Hong Hao. "Advancements in 3D displacement measurement for civil structures: A monocular vision approach with moving cameras." Measurement 242 (2025): 116060.
Paper
Published in Engineering Structures, 2025
A multi-task learning approach that improves data efficiency in predicting blast loading.
Recommended citation: Li, Qilin, Ling Li, Yanda Shao, Ruhua Wang, and Hong Hao. "A multi-task machine learning approach for data efficient prediction of blast loading." Engineering Structures 326 (2025): 119577.
Paper
Published in Pattern Recognition, 2024
Quadric-fit, DBSCAN-based clustering for 3D surface segmentation from point clouds.
Recommended citation: Xie, Tingting, Hui Chen, Wanquan Liu, Rongyu Zhou, and Qilin Li. "3D surface segmentation from point clouds via quadric fits based on DBSCAN clustering." Pattern Recognition 154 (2024): 110589.
Paper
Published in Computers & Structures, 2024
Fragment Graph Network (FGN) for fragment prediction of RC walls under close-in explosion.
Recommended citation: Wang, Zitong, Qilin Li, Wensu Chen, Hong Hao, and Ling Li. "Fragment prediction of reinforced concrete wall under close-in explosion using Fragment Graph Network (FGN)." Computers & Structures 305 (2024): 107556.
Paper
Published in Engineering Structures, 2024
A single-camera, mesh deformation neural network for 3D displacement measurement.
Recommended citation: Shao, Yanda, Ling Li, Jun Li, Qilin Li, Senjian An, and Hong Hao. "3D displacement measurement using a single-camera and mesh deformation neural network." Engineering Structures 318 (2024): 118767.
Paper
Published in Engineering Structures, 2024
Physics-guided residual neural networks for structural damage identification.
Recommended citation: Wang, Ruhua, Jun Li, Ling Li, Senjian An, Bradley Ezard, Qilin Li, and Hong Hao. "Structural damage identification by using physics-guided residual neural networks." Engineering Structures 318 (2024): 118703.
Paper
Published in Structural Health Monitoring, 2024
A framework (3DGEN) for generating custom synthetic 3D datasets for civil SHM.
Recommended citation: Shao, Yanda, Ling Li, Jun Li, Qilin Li, Senjian An, and Hong Hao. "3DGEN: a framework for generating custom-made synthetic 3D datasets for civil structure health monitoring." Structural Health Monitoring 24, no. 5 (2025): 2801-2817.
Paper
Published in Engineering Structures, 2024
A Transformer with modified self-attention (SAMT) for predicting BLEVE-induced road tunnel response.
Recommended citation: Cheng, Ruishan, Wensu Chen, Hong Hao, and Qilin Li. "Prediction of BLEVE-induced response of road tunnel using Transformer network with modified self-attention (SAMT)." Engineering Structures 314 (2024): 118415.
Paper
Published in International Journal of Hydrogen Energy, 2024
CFD and interpretable neural networks for predicting accidental hydrogen-air explosion loads.
Recommended citation: Hu, Qingchun, Xihong Zhang, Qilin Li, Hong Hao, Chris Coffey, and Fiona Mitchell-Corbett. "Prediction and interpretability of accidental explosion loads from hydrogen-air mixtures using CFD and artificial neural network method." International Journal of Hydrogen Energy 66 (2024): 135-147.
Paper
Published in Mathematics, 2024
A novel diffusion process formulated on multi-type Galton–Watson forests.
Recommended citation: Zhu, Yanjiao, Qilin Li, Wanquan Liu, Chuancun Yin, and Zhenlong Gao. "A Novel Exploration of Diffusion Process Based on Multi-Type Galton–Watson Forests." Mathematics 12, no. 22 (2024): 3462.
Paper
Published in Automation in Construction, 2024
Monocular computer vision for out-of-plane full-field vibration displacement measurement.
Recommended citation: Shao, Yanda, Ling Li, Jun Li, Qilin Li, Senjian An, and Hong Hao. "Out-of-plane full-field vibration displacement measurement with monocular computer vision." Automation in Construction 165 (2024): 105507.
Paper
Published in Reliability Engineering & System Safety, 2024
Unsupervised anomaly detection for structural damage detection and localization.
Recommended citation: Liu, Jie, Qilin Li, Ling Li, and Senjian An. "Structural damage detection and localization via an unsupervised anomaly detection method." Reliability Engineering & System Safety 252 (2024): 110465.
Paper
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, Zitong Wang, Wensu Chen, Ling Li, and Hong Hao. "Advancing blast fragmentation simulation of RC slabs: A graph neural network approach." Engineering Structures 308 (2024): 118009.
Paper | Code
Published in Reliability Engineering & System Safety, 2024
This paper is about data-driven simulation of BLEVE blast wave propagation
Recommended citation: Li, Qilin, Yang Wang, Wensu Chen, Ling Li, and Hong Hao. "Machine learning prediction of BLEVE loading with graph neural networks." Reliability Engineering & System Safety 241 (2024): 109639.
Paper | Code
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.
Paper
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.
Paper
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.
Paper | Code
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 32 (2023): 4610-4620.
Paper | Code
Published in Process Safety and Environmental Protection, 2021
CFD and artificial neural networks for predicting BLEVE blast loading.
Recommended citation: Li, Jun, Qilin Li, Hong Hao, and Ling Li. "Prediction of BLEVE blast loading using CFD and artificial neural network." Process Safety and Environmental Protection 149 (2021): 711-723.
Paper
Published in IEEE Transactions on Neural Networks and Learning Systems, 2020
Semisupervised learning on graphs using an alternating diffusion process.
Recommended citation: Li, Qilin, Senjian An, Wanquan Liu, and Ling Li. "Semisupervised learning on graphs with an alternating diffusion process." IEEE Transactions on Neural Networks and Learning Systems 32, no. 7 (2021): 2862-2874.
Paper
Published in Pattern Recognition, 2018
Affinity learning through a diffusion process for subspace clustering.
Recommended citation: Li, Qilin, Wanquan Liu, and Ling Li. "Affinity learning via a diffusion process for subspace clustering." Pattern Recognition 84 (2018): 39-50.
Paper
Published in Engineering Applications of Neural Networks (EANN 2025), 2025
This paper develops explainable machine learning models for data-driven prediction of blast overpressure from boiling liquid expanding vapour explosions (BLEVEs).
Recommended citation: Shi, Zifan, Qilin Li, Ling Li, Yanda Shao, and Hong Hao. "Data-Driven BLEVE Overpressure Prediction Using Explainable Machine Learning." In Engineering Applications of Neural Networks, pp. 68-80. Cham: Springer Nature Switzerland, 2025.
Paper
Published in International Conference on Pattern Recognition (ICPR), 2024
An unsupervised anomaly detection method (EdgeConvFormer) for multivariate time series.
Recommended citation: Liu, Jie, Qilin Li, Senjian An, Bradley Ezard, and Ling Li. "EdgeConvFormer: An Unsupervised Anomaly Detection Method for Multivariate Time Series." In International Conference on Pattern Recognition, pp. 367-382. Springer, 2024.
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