| A dimensionality reduction-based multi-step clustering method for robust vessel trajectory analysis H Li, J Liu, RW Liu, N Xiong, K Wu, T Kim Sensors 17 (8), 1792, 2017 | 134 | 2017 |
| Generalized total variation-based MRI Rician denoising model with spatially adaptive regularization parameters RW Liu, L Shi, W Huang, J Xu, SCH Yu, D Wang Magnetic Resonance Imaging 32 (6), 702-720, 2014 | 129 | 2014 |
| Spatio-temporal vessel trajectory clustering based on data mapping and density H Li, J Liu, K Wu, Z Yang, RW Liu, N Xiong IEEE Access 6, 58939-58954, 2018 | 122 | 2018 |
| Implementation of high‐order variational models made easy for image processing W Lu, J Duan, Z Qiu, Z Pan, RW Liu, L Bai Mathematical Methods in the Applied Sciences 39 (14), 4208-4233, 2016 | 117 | 2016 |
| Data-Driven Trajectory Quality Improvement for Promoting Intelligent Vessel Traffic Services in 6G-Enabled Maritime IoT Systems RW Liu, J Nie, S Garg, Z Xiong, Y Zhang, MS Hossain IEEE Internet of Things Journal 8 (7), 5374-5385, 2021 | 115 | 2021 |
| An enhanced CNN-enabled learning method for promoting ship detection in maritime surveillance system RW Liu, W Yuan, X Chen, Y Lu Ocean Engineering 235, 109435, 2021 | 102 | 2021 |
| A survey of GPU-based medical image computing techniques L Shi, RW Liu, H Zhang, Y Xie, D Wang Quantitative Imaging in Medicine and Surgery 2 (3), 188, 2012 | 98 | 2012 |
| Dynamic ship domain models for capacity analysis of restricted water channels J Liu, F Zhou, Z Li, M Wang, RW Liu The Journal of Navigation 69 (3), 481-503, 2016 | 92 | 2016 |
| Adaptively constrained dynamic time warping for time series classification and clustering H Li, J Liu, Z Yang, RW Liu, K Wu, Y Wan Information Sciences 534, 97-116, 2020 | 89 | 2020 |
| GPU-Accelerated Compression and Visualization of Large-Scale Vessel Trajectories in Maritime IoT Industries Y Huang, Y Li, Z Zhang, RW Liu IEEE Internet of Things Journal 7 (11), 10794-10812, 2020 | 76 | 2020 |
| An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation M Liang, RW Liu, S Li, Z Xiao, X Liu, F Lu Ocean Engineering 225, 108803, 2021 | 68 | 2021 |
| Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things RW Liu, M Liang, J Nie, WYB Lim, Y Zhang, M Guizani IEEE Transactions on Network Science and Engineering 9 (5), 3080-3094, 2022 | 59 | 2022 |
| Adaptive douglas-peucker algorithm with automatic thresholding for AIS-based vessel trajectory compression J Liu, H Li, Z Yang, K Wu, Y Liu, RW Liu IEEE Access 7, 150677-150692, 2019 | 46 | 2019 |
| Big data and IoT solution for patient behaviour monitoring KT Chui, RW Liu, MD Lytras, M Zhao Behaviour & Information Technology 38 (9), 940-949, 2019 | 45 | 2019 |
| Trajectory compression-guided visualization of spatio-temporal AIS vessel density Y Li, RW Liu, J Liu, Y Huang, B Hu, K Wang IEEE International Conference on Wireless Communications & Signal Processing …, 2016 | 38 | 2016 |
| STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multi-Graph Convolutional Network RW Liu, M Liang, J Nie, Y Yuan, Z Xiong, H Yu, N Guizani IEEE Transactions on Industrial Informatics 18 (11), 7977-7987, 2022 | 37 | 2022 |
| Low-light image enhancement with regularized illumination optimization and deep noise suppression Y Guo, Y Lu, RW Liu, M Yang, KT Chui IEEE Access 8, 145297-145315, 2020 | 36 | 2020 |
| Deep Neural Network-Based Robust Ship Detection Under Different Weather Conditions X Nie, M Yang, RW Liu IEEE International Conference on Intelligent Transportation Systems (ITSC …, 2019 | 34 | 2019 |
| A two‐step optimization approach for nonlocal total variation‐based Rician noise reduction in magnetic resonance images RW Liu, L Shi, SCH Yu, D Wang Medical Physics 42 (9), 5167-5187, 2015 | 32 | 2015 |
| Automatic detection of arterial input function in dynamic contrast enhanced MRI based on affinity propagation clustering L Shi, D Wang, RW Liu, K Fang, YXJ Wang, W Huang, AD King, PA Heng, ... Journal of Magnetic Resonance Imaging 39 (5), 1327-1337, 2014 | 31 | 2014 |
Maohan LiangNational University of Singapore在 nus.edu.sg 的电子邮件经过验证
