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All papers authored by Maohan Liang

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2024 Maohan Liang

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, Jianlong Su, Ryan Wen Liu

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, Jasmine Siu Lee Lam

AISClean: AIS data-driven vessel trajectory reconstruction under uncertain conditions

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Miao Gao

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, Maohan Liang

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, Anmin Zhang, Yingjun Hu, Jixiang Zhu

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

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Zhao Liu, Wensen Yuan, Maohan Liang

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, Mingyang Zhang

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, Cong Liu, Ryan Wen Liu

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, Jingxian Liu

An online method for ship trajectory compression using AIS data

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Ryan Wen Liu

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, Weixin Zheng, Maohan Liang

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Spatio-temporal multi-graph transformer network for joint prediction of multiple vessel trajectories

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Maohan Liang

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, Jasmine Siu Lee Lam, Zaili Yang

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PiracyAnalyzer: Spatial temporal patterns analysis of global piracy incidents

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Maohan Liang

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, Lingxuan Weng

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, Yan Li

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, Liang Du

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Unsupervised maritime anomaly detection for intelligent situational awareness using AIS data

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2023 Yuanzhe Zhang

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, Maohan Liang

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Vessel Behavior Anomaly Detection Using Graph Attention Network

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Ryan Wen Liu, Kunlin Hu, Maohan Liang

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, Yan Li, Xin Liu, Dong Yang

QSD-LSTM: Vessel trajectory prediction using long short-term memory with quaternion ship domain

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2022 Maohan Liang

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, Yang Zhan, Huanhuan Li

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Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network

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Ryan Wen Liu, Xiaojie Huo

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, Maohan Liang

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, Kai Wang

Ship collision risk analysis: Modeling, visualization and prediction

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Ryan Wen Liu

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, Maohan Liang

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, Jiangtian Nie

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, Han Yu

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, Nadra Guizani

STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network

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Ryan Wen Liu

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, Maohan Liang

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, Jiangtian Nie

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, Wei Yang Bryan Lim

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, Mohsen Guizani

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Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things

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2021 Maohan Liang

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, Yang Zhan, Ryan Wen Liu

MVFFNet: Multi-view feature fusion network for imbalanced ship classification

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Yuxu Lu

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, Yu Guo

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, Maohan Liang

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CNN-Enabled Visibility Enhancement Framework for Vessel Detection under Haze Environment

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Maohan Liang

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, Ryan Wen Liu, Shichen Li, Zhe Xiao, Xin Liu, Feng Lu

An unsupervised learning method with convolutional auto-encoder for vessel trajectory similarity computation

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2020 Nanhua Lu, Maohan Liang

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, Lei Yang, Yitao Wang, Naixue Xiong, Ryan Wen Liu

Shape-Based Vessel Trajectory Similarity Computing and Clustering: A Brief Review

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Shichen Li, Maohan Liang

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, Ryan Wen Liu

Vessel Trajectory Similarity Measure Based on Deep Convolutional Autoencoder

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Nanhua Lu, Maohan Liang

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, Rongtao Zheng, Ryan Wen Liu

Historical AIS Data-Driven Unsupervised Automatic Extraction of Directional Maritime Traffic Networks

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Shichen Li, Maohan Liang

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, Xinyi Wu, Zhao Liu, Ryan Wen Liu

AIS-Based Vessel Trajectory Reconstruction with U-Net Convolutional Networks

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2019 Kai Wang, Maohan Liang

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, Yan Li, Jingxian Liu, Ryan Wen Liu

Maritime Traffic Data Visualization: A Brief Review

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