| Development and application of a deep learning–based sparse autoencoder framework for structural damage identification CSN Pathirage, J Li, L Li, H Hao, W Liu, R Wang Structural Health Monitoring 18 (1), 103-122, 2019 | 121 | 2019 |
| Deep residual network framework for structural health monitoring R Wang, Chencho, S An, J Li, L Li, H Hao, W Liu Structural Health Monitoring 20 (4), 1443-1461, 2021 | 43 | 2021 |
| Densely connected convolutional networks for vibration based structural damage identification R Wang, J Li, S An, H Hao, W Liu, L Li Engineering Structures 245, 112871, 2021 | 36 | 2021 |
| Development and application of random forest technique for element level structural damage quantification Chencho, J Li, H Hao, R Wang, L Li Structural Control and Health Monitoring 28 (3), e2678, 2021 | 25 | 2021 |
| A novel parallel auto-encoder framework for multi-scale data in civil structural health monitoring R Wang, L Li, J Li Algorithms 11 (8), 112, 2018 | 24 | 2018 |
| 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 | 16 | 2023 |
| Structural damage quantification using ensemble‐based extremely randomised trees and impulse response functions Chencho, J Li, H Hao, R Wang, L Li Structural Control and Health Monitoring 29 (10), e3033, 2022 | 3 | 2022 |
| 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 | 2 | 2024 |
| Invertible residual blocks in deep learning networks R Wang, S An, W Liu, L Li IEEE Transactions on Neural Networks and Learning Systems, 2023 | 2 | 2023 |
| Towards large scale spectral problems via diffusion process Q Li, W Liu, L Li, R Wang 2017 International Conference on Digital Image Computing: Techniques and …, 2017 | 2 | 2017 |
| Fixed-point algorithms for inverse of residual rectifier neural networks. R Wang, S An, W Liu, L Li Mathematical Foundations of Computing 4 (1), 2021 | 1 | 2021 |
| The toxicity and invasive effects of QDs on mung bean development P Zhai, X Wang, R Wang, X Huang, G Feng, G Lin, Q Chen, G Xu, D Chen Twelfth international conference on photonics and imaging in biology and …, 2014 | 1 | 2014 |
| Advanced Deep Learning Methods for Vibration-based Structural Damage Identification R Wang Curtin University, 2021 | | 2021 |
Ling LiProfessor, Department of Computing, Curtin University在 curtin.edu.au 的电子邮件经过验证
