Maohan Liang

According to our database, Maohan Liang authored at least 21 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Exploring key factors for long-term vessel incident risk prediction.

Tianyi Chen, Hua Wang, Yutong Cai, Maohan Liang, Qiang Meng

Reliab. Eng. Syst. Saf., 2025

Deep-TCP: Multi-source data fusion for deep learning-powered tropical cyclone intensity prediction to enhance urban sustainability.

Shuailong Jiang, Maohan Liang, Chunzai Wang, Hanjie Fan, Yingying Ma

Inf. Fusion, 2025

2024

Advancements in Deep Learning Techniques for Time Series Forecasting in Maritime Applications: A Comprehensive Review.

Meng Wang, Xinyan Guo, Yanling She, Yang Zhou, Maohan Liang, Zhongshuo Chen

Inf., August, 2024

PiracyAnalyzer: Spatial temporal patterns analysis of global piracy incidents.

Maohan Liang, Huanhuan Li, Ryan Wen Liu, Jasmine Siu Lee Lam, Zaili Yang

Reliab. Eng. Syst. Saf., March, 2024

Unsupervised maritime anomaly detection for intelligent situational awareness using AIS data.

Maohan Liang, Lingxuan Weng, Ruobin Gao, Yan Li, Liang Du

Knowl. Based Syst., 2024

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

Ryan Wen Liu, Weixin Zheng, Maohan Liang

Eng. Appl. Artif. Intell., 2024

Underwater Acoustic Signal Denoising Algorithms: A Survey of the State-of-the-art.

Ruobin Gao, Maohan Liang, Heng Dong, Xuewen Luo, Ponnuthurai N. Suganthan

CoRR, 2024

A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluation.

Maohan Liang, Ryan Wen Liu, Ruobin Gao, Zhe Xiao, Xiaocai Zhang, Hua Wang

CoRR, 2024

Benchmarking feed-forward randomized neural networks for vessel trajectory prediction.

Ruke Cheng, Maohan Liang, Huanhuan Li, Kum Fai Yuen

Comput. Electr. Eng., 2024

2023

Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping.

Yan Li, Maohan Liang, Huanhuan Li, Zaili Yang, Liang Du, Zhongshuo Chen

Eng. Appl. Artif. Intell., November, 2023

Vessel Behavior Anomaly Detection Using Graph Attention Network.

Yuanzhe Zhang, Qiqiang Jin, Maohan Liang, Ruixin Ma, Ryan Wen Liu

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Deep Learning-Empowered Unsupervised Maritime Anomaly Detection.

Lingxuan Weng, Maohan Liang, Ruobin Gao, Zhong Shuo Chen

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

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

Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Wei Yang Bryan Lim, Yang Zhang, Mohsen Guizani

IEEE Trans. Netw. Sci. Eng., 2022

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

Maohan Liang, Ryan Wen Liu, Yang Zhan, Huanhuan Li, Fenghua Zhu, Fei-Yue Wang

IEEE Trans. Intell. Transp. Syst., 2022

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

Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Yanli Yuan, Zehui Xiong, Han Yu, Nadra Guizani

IEEE Trans. Ind. Informatics, 2022

2021

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

Maohan Liang, Yang Zhan, Ryan Wen Liu

Pattern Recognit. Lett., 2021

An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation.

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

CoRR, 2021

Intelligent Data-Driven Vessel Trajectory Prediction in Marine Transportation Cyber-Physical System.

Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Xianjun Deng, Zehui Xiong, Jiawen Kang, Helin Yang, Yang Zhang

Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021

Extraction of Hottest Shipping Routes: From Positioning Data to Intelligent Surveillance.

Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Sahil Garg, Yang Zhang, Zehui Xiong

Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021

2017

Effective Alternating Direction Optimization Methods for Sparsity-Constrained Blind Image Deblurring.

Naixue Xiong, Ryan Wen Liu, Maohan Liang, Di Wu, Zhao Liu, Huisi Wu

Sensors, 2017

2016

Robust two-step image restoration with adaptive regularization parameter.

Ryan Wen Liu, Weihuang Wu, Maohan Liang, Tian Xu, Jingxian Liu

Proceedings of the 2016 International Conference on Intelligent Information Processing, 2016