| A comparative study on the most effective machine learning model for blast loading prediction: From GBDT to Transformer Q Li, Y Wang, Y Shao, L Li, H Hao Engineering Structures 276, 115310, 2023 | 80 | 2023 |
| Prediction of BLEVE blast loading using CFD and artificial neural network J Li, Q Li, H Hao, L Li Process Safety and Environmental Protection 149, 711-723, 2021 | 68 | 2021 |
| Machine learning prediction of BLEVE loading with graph neural networks Q Li, Y Wang, W Chen, L Li, H Hao Reliability Engineering & System Safety 241, 109639, 2024 | 61 | 2024 |
| Prediction of BLEVE loads on structures using machine learning and CFD Q Li, Y Wang, L Li, H Hao, R Wang, J Li Process Safety and Environmental Protection 171, 914-925, 2023 | 56 | 2023 |
| Machine learning prediction of structural dynamic responses using graph neural networks Q Li, Z Wang, L Li, H Hao, W Chen, Y Shao Computers & Structures 289, 107188, 2023 | 54 | 2023 |
| Monocular vision based 3D vibration displacement measurement for civil engineering structures Y Shao, L Li, J Li, Q Li, S An, H Hao Engineering Structures 293, 116661, 2023 | 43 | 2023 |
| Affinity learning via a diffusion process for subspace clustering Q Li, W Liu, L Li Pattern Recognition 84, 39-50, 2018 | 42 | 2018 |
| Fuzzy based affinity learning for spectral clustering Q Li, Y Ren, L Li, W Liu Pattern Recognition 60, 531-542, 2016 | 37 | 2016 |
| A novel transformer-based semantic segmentation framework for structural condition assessment R Wang, Y Shao, Q Li, L Li, J Li, H Hao Structural Health Monitoring 23 (2), 1170-1183, 2024 | 35 | 2024 |
| Semantic facial descriptor extraction via axiomatic fuzzy set Y Ren, Q Li, W Liu, L Li Neurocomputing 171, 1462-1474, 2016 | 34 | 2016 |
| Structural damage identification by using physics-guided residual neural networks R Wang, J Li, L Li, S An, B Ezard, Q Li, H Hao Engineering Structures 318, 118703, 2024 | 28 | 2024 |
| Structural damage detection and localization via an unsupervised anomaly detection method J Liu, Q Li, L Li, S An Reliability Engineering & System Safety 252, 110465, 2024 | 22 | 2024 |
| Multi‐channel response reconstruction using transformer based generative adversarial network W Zheng, J Li, Q Li, H Hao Earthquake Engineering & Structural Dynamics 52 (11), 3369-3391, 2023 | 22 | 2023 |
| Out-of-plane full-field vibration displacement measurement with monocular computer vision Y Shao, L Li, J Li, Q Li, S An, H Hao Automation in Construction 165, 105507, 2024 | 21 | 2024 |
| Prediction and interpretability of accidental explosion loads from hydrogen-air mixtures using CFD and artificial neural network method Q Hu, X Zhang, Q Li, H Hao, C Coffey, F Mitchell-Corbett International Journal of Hydrogen Energy 66, 135-147, 2024 | 21 | 2024 |
| 3D surface segmentation from point clouds via quadric fits based on DBSCAN clustering T Xie, H Chen, W Liu, R Zhou, Q Li Pattern Recognition 154, 110589, 2024 | 19 | 2024 |
| Advancing blast fragmentation simulation of RC slabs: A graph neural network approach Q Li, Z Wang, W Chen, L Li, H Hao Engineering Structures 308, 118009, 2024 | 18 | 2024 |
| Energy theft detection in an edge data center using deep learning G Cheng, Z Zhang, Q Li, Y Li, W Jin Mathematical Problems in Engineering 2021 (1), 9938475, 2021 | 18 | 2021 |
| Relaxed energy preserving hashing for image retrieval Y Sun, J Dai, Z Ren, Q Li, D Peng IEEE Transactions on Intelligent Transportation Systems 25 (7), 7388-7400, 2024 | 17 | 2024 |
| Semisupervised learning on graphs with an alternating diffusion process Q Li, S An, W Liu, L Li IEEE Transactions on Neural Networks and Learning Systems 32 (7), 2862-2874, 2020 | 17 | 2020 |
Ling LiJohn Curtin Distinguished Professor, Curtin UniversityVerified email at curtin.edu.au
