| 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 | 106 | 2022 |
| 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 | 91 | 2021 |
| 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, 2022 | 83 | 2022 |
| Fine-Grained Vessel Traffic Flow Prediction with a Spatio-Temporal Multi-Graph Convolutional Network M Liang, RW Liu, Y Zhan, H Li, F Zhu, FY Wang IEEE Transactions on Intelligent Transportation Systems, 2022 | 47 | 2022 |
| Unsupervised Hierarchical Methodology of Maritime Traffic Pattern Extraction for Knowledge Discovery H Li, JSL Lam, Z Yang, J Liu, RW Liu, M Liang, Y Li Transportation Research Part C: Emerging Technologies, 2022 | 38 | 2022 |
| Effective alternating direction optimization methods for sparsity-constrained blind image deblurring N Xiong, RW Liu, M Liang, D Wu, Z Liu, H Wu Sensors 17 (1), 174, 2017 | 36 | 2017 |
| MVFFNet: Multi-view feature fusion network for imbalanced ship classification M Liang, Y Zhan, RW Liu Pattern Recognition Letters 151, 26-32, 2021 | 30 | 2021 |
| Neural network-based automatic reconstruction of missing vessel trajectory data M Liang, RW Liu, Q Zhong, J Liu, J Zhang 2019 IEEE 4th International Conference on Big Data Analytics (ICBDA), 426-430, 2019 | 30 | 2019 |
| PCA-based hierarchical clustering of AIS trajectories with automatic extraction of clusters J Cao, M Liang, Y Li, J Chen, H Li, RW Liu, J Liu 2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA), 448-452, 2018 | 27 | 2018 |
| Maritime traffic data visualization: A brief review K Wang, M Liang, Y Li, J Liu, RW Liu 2019 IEEE 4th International Conference on Big Data Analytics (ICBDA), 67-72, 2019 | 23 | 2019 |
| Ship collision risk analysis: Modeling, visualization and prediction RW Liu, X Huo, M Liang*, K Wang Ocean Engineering 266, 112895, 2022 | 17 | 2022 |
| AIS-based vessel trajectory reconstruction with U-Net convolutional networks S Li, M Liang, X Wu, Z Liu, RW Liu 2020 IEEE 5th International Conference on Cloud Computing and Big Data …, 2020 | 15 | 2020 |
| Historical AIS data-driven unsupervised automatic extraction of directional maritime traffic networks N Lu, M Liang, R Zheng, RW Liu 2020 IEEE 5th International Conference on Cloud Computing and Big Data …, 2020 | 14 | 2020 |
| Shape-based vessel trajectory similarity computing and clustering: A brief review N Lu, M Liang, L Yang, Y Wang, N Xiong, RW Liu 2020 5th IEEE International Conference on Big Data Analytics (ICBDA), 186-192, 2020 | 12 | 2020 |
| QSD-LSTM: Vessel trajectory prediction using long short-term memory with quaternion ship domain RW Liu, K Hu, M Liang *, Y Li, X Liu, D Yang Applied Ocean Research 136, 103592, 2023 | 11 | 2023 |
| Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping Y Li, M Liang, H Li, Z Yang, L Du, Z Chen Engineering Applications of Artificial Intelligence 126, 107012, 2023 | 8 | 2023 |
| Intelligent data-driven vessel trajectory prediction in marine transportation cyber-physical system RW Liu, M Liang, J Nie, X Deng, Z Xiong, J Kang, H Yang, Y Zhang 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE …, 2021 | 8 | 2021 |
| Vessel trajectory similarity measure based on deep convolutional autoencoder S Li, M Liang, RW Liu 2020 5th IEEE International Conference on Big Data Analytics (ICBDA), 333-338, 2020 | 8 | 2020 |
| Statistical analysis of massive AIS trajectories using Gaussian mixture models B Hu, RW Liu, K Wang, Y Li, M Liang, H Li, J Liu 2017 2nd International Conference on Multimedia and Image Processing (ICMIP …, 2017 | 7 | 2017 |
| CNN-enabled visibility enhancement framework for vessel detection under haze environment Y Lu, Y Guo, M Liang* Journal of advanced transportation 2021, 2021 | 6 | 2021 |
Wen LIU (刘文)Professor, Wuhan University of Technology | 武汉理工大学Verified email at whut.edu.cn
