Unsupervised hierarchical methodology of maritime traffic pattern extraction for knowledge discovery von Li, Huanhuan, Lam, Jasmine Siu Lee, Yang, Zaili, Liu, Jingxian, Liu, Ryan Wen, Liang, Maohan, Li, Yan

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Effective Alternating Direction Optimization Methods for Sparsity-Constrained Blind Image Deblurring von Xiong, Naixue, Liu, Ryan Wen, Liang, Maohan, Wu, Di, Liu, Zhao, Wu, Huisi

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CNN-Enabled Visibility Enhancement Framework for Vessel Detection under Haze Environment von Lu, Yuxu, Guo, Yu, Liang, Maohan

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Advancements in Deep Learning Techniques for Time Series Forecasting in Maritime Applications: A Comprehensive Review von Wang, Meng, Guo, Xinyan, She, Yanling, Zhou, Yang, Liang, Maohan, Zhong Shuo Chen

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AIS-Based Vessel Trajectory Compression: A Systematic Review and Software Development von Liu, Ryan Wen, Zhou, Shiqi, Yin, Shangkun, Shu, Yaqing, Liang, Maohan

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MVFFNet: Multi-view feature fusion network for imbalanced ship classification von Liang, Maohan, Zhan, Yang, Liu, Ryan Wen

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Spatio-temporal multi-graph transformer network for joint prediction of multiple vessel trajectories von Liu, Ryan Wen, Zheng, Weixin, Liang, Maohan

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Unsupervised maritime anomaly detection for intelligent situational awareness using AIS data von Liang, Maohan, Weng, Lingxuan, Gao, Ruobin, Li, Yan, Du, Liang

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STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network von Liu, Ryan Wen, Liang, Maohan, Nie, Jiangtian, Yuan, Yanli, Xiong, Zehui, Yu, Han, Guizani, Nadra

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An unsupervised learning method with convolutional auto-encoder for vessel trajectory similarity computation von Liang, Maohan, Liu, Ryan Wen, Li, Shichen, Xiao, Zhe, Liu, Xin, Lu, Feng

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Ship collision risk analysis: Modeling, visualization and prediction von Liu, Ryan Wen, Huo, Xiaojie, Liang, Maohan, Wang, Kai

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Exploring key factors for long-term vessel incident risk prediction von Chen, Tianyi, Wang, Hua, Cai, Yutong, Liang, Maohan, Meng, Qiang

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Integrating GPU-Accelerated for Fast Large-Scale Vessel Trajectories Visualization in Maritime IoT Systems von Liang, Maohan, Liu, Kezhong, Gao, Ruobin, Li, Yan

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Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network von Liang, Maohan, Liu, Ryan Wen, Zhan, Yang, Li, Huanhuan, Zhu, Fenghua, Wang, Fei-Yue

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Multi-ship encounter situation graph structure learning for ship collision avoidance based on AIS big data with spatio-temporal edge and node attention graph convolutional networks von Gao, Miao, Liang, Maohan, Zhang, Anmin, Hu, Yingjun, Zhu, Jixiang

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Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping von Li, Yan, Liang, Maohan, Li, Huanhuan, Yang, Zaili, Du, Liang, Chen, Zhongshuo

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Deep-TCP: Multi-source data fusion for deep learning-powered tropical cyclone intensity prediction to enhance urban sustainability von Jiang, Shuailong, Liang, Maohan, Wang, Chunzai, Fan, Hanjie, Ma, Yingying

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Graph-driven multi-vessel long-term trajectories prediction for route planning under complex waters von Yang, Dong, Yang, Kaisen, Lu, Yuxu, Liang, Maohan, Zhao, Congcong

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PiracyAnalyzer: Spatial temporal patterns analysis of global piracy incidents von Liang, Maohan, Li, Huanhuan, Liu, Ryan Wen, Lam, Jasmine Siu Lee, Yang, Zaili

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AISClean: AIS data-driven vessel trajectory reconstruction under uncertain conditions von Liang, Maohan, Su, Jianlong, Liu, Ryan Wen, Lam, Jasmine Siu Lee

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