Maohan Liang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Convolutional Network

Similarity Computation

Anomaly Detection

Top Venues

Eng. Appl. Artif. Intell.

iThings/GreenCom/CPSCom/SmartData/Cybermatics

Publications

Maohan Liang, Lingxuan Weng, Ruobin Gao, Yan Li, Liang Du
Unsupervised maritime anomaly detection for intelligent situational awareness using AIS data. Knowl. Based Syst. 284 (2024)
Tianyi Chen, Hua Wang, Yutong Cai, Maohan Liang, Qiang Meng
Exploring Key Factors for Long-Term Vessel Incident Risk Prediction. CoRR (2024)
Maohan Liang, Huanhuan Li, Ryan Wen Liu, Jasmine Siu Lee Lam, Zaili Yang
PiracyAnalyzer: Spatial temporal patterns analysis of global piracy incidents. Reliab. Eng. Syst. Saf. 243 (2024)
Ruke Cheng, Maohan Liang, Huanhuan Li, Kum Fai Yuen
Benchmarking feed-forward randomized neural networks for vessel trajectory prediction. Comput. Electr. Eng. 119 (2024)
Ruobin Gao, Maohan Liang, Heng Dong, Xuewen Luo, Ponnuthurai N. Suganthan
Underwater Acoustic Signal Denoising Algorithms: A Survey of the State-of-the-art. CoRR (2024)
Ryan Wen Liu, Weixin Zheng, Maohan Liang
Spatio-temporal multi-graph transformer network for joint prediction of multiple vessel trajectories. Eng. Appl. Artif. Intell. 129 (2024)
Maohan Liang, Ryan Wen Liu, Ruobin Gao, Zhe Xiao, Xiaocai Zhang, Hua Wang
A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluation. CoRR (2024)
Yuanzhe Zhang, Qiqiang Jin, Maohan Liang, Ruixin Ma, Ryan Wen Liu
Vessel Behavior Anomaly Detection Using Graph Attention Network. ICONIP (5) (2023)
Lingxuan Weng, Maohan Liang, Ruobin Gao, Zhong Shuo Chen
Deep Learning-Empowered Unsupervised Maritime Anomaly Detection. ICONIP (13) (2023)
Yan Li, Maohan Liang, Huanhuan Li, Zaili Yang, Liang Du, Zhongshuo Chen
Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping. Eng. Appl. Artif. Intell. 126 (2023)
Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Yanli Yuan, Zehui Xiong, Han Yu, Nadra Guizani
STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network. IEEE Trans. Ind. Informatics 18 (11) (2022)
Maohan Liang, Ryan Wen Liu, Yang Zhan, Huanhuan Li, Fenghua Zhu, Fei-Yue Wang
Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Wei Yang Bryan Lim, Yang Zhang, Mohsen Guizani
Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things. IEEE Trans. Netw. Sci. Eng. 9 (5) (2022)
Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Xianjun Deng, Zehui Xiong, Jiawen Kang, Helin Yang, Yang Zhang
Intelligent Data-Driven Vessel Trajectory Prediction in Marine Transportation Cyber-Physical System. iThings/GreenCom/CPSCom/SmartData/Cybermatics (2021)
Maohan Liang, Ryan Wen Liu, Shichen Li, Zhe Xiao, Xin Liu, Feng Lu
An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation. CoRR (2021)
Maohan Liang, Yang Zhan, Ryan Wen Liu
MVFFNet: Multi-view feature fusion network for imbalanced ship classification. Pattern Recognit. Lett. 151 (2021)
Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Sahil Garg, Yang Zhang, Zehui Xiong
Extraction of Hottest Shipping Routes: From Positioning Data to Intelligent Surveillance. IRI (2021)
Naixue Xiong, Ryan Wen Liu, Maohan Liang, Di Wu, Zhao Liu, Huisi Wu
Effective Alternating Direction Optimization Methods for Sparsity-Constrained Blind Image Deblurring. Sensors 17 (1) (2017)
Ryan Wen Liu, Weihuang Wu, Maohan Liang, Tian Xu, Jingxian Liu
Robust two-step image restoration with adaptive regularization parameter. ICIIP (2016)