Maohan Liang

According to our database, Maohan Liang authored at least 31 papers between 2016 and 2026.

Collaborative distances:

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

2026

Natural language processing and text mining in transportation: Current status, challenges, and future roadmap.

Xiaocai Zhang, Ruobin Gao, Zhe Xiao, Ke Wang, Tao Liu, Maohan Liang, Jianjia Zhang

Expert Syst. Appl., 2026

UPTM-LLM: Large language models-powered urban pedestrian travel modes recognition for intelligent transportation system.

Yan Li, Yang Zhan, Maohan Liang, Yu Zhang, Jinhao Liang

Appl. Soft Comput., 2026

2025

Improving Maritime Data: A Machine Learning-Based Model for Missing Vessel Trajectories Reconstruction.

Jin Chen, Maohan Liang, Chang Peng, Jixin Zhang, Shengxu Huo

IEEE Trans. Veh. Technol., June, 2025

Multi-Sensor Fusion-Driven Surface Vessel Identification and Tracking Using Unmanned Aerial Vehicles for Maritime Surveillance.

Chenjie Zhao, Mengwei Bao, Jinhao Liang, Maohan Liang, Ryan Wen Liu, Guangyao Pang

IEEE Trans. Consumer Electron., May, 2025

Integrating GPU-Accelerated for Fast Large-Scale Vessel Trajectories Visualization in Maritime IoT Systems.

Maohan Liang, Kezhong Liu, Ruobin Gao, Yan Li

IEEE Trans. Intell. Transp. Syst., March, 2025

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

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

IEEE Trans. Instrum. Meas., 2025

Spatial-Frequency Fusion Network With Learnable Fractional Fourier Transform for Remote Sensing Imaging Enhancement.

Wenyu Xu, Maohan Liang, Yuxu Lu, Ruobin Gao, Dong Yang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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

Ship anomalous behavior detection based on interval prediction of multiple vessel trajectories.

Wentao Liu, Chen Chen, Yaowu Peng, Maohan Liang

Eng. Appl. Artif. Intell., 2025

Big-data-driven vessel destination prediction for smart port management.

Jin Chen, Qiang Zhang, Maohan Liang, Chang Peng, Chen Chen

Eng. Appl. Artif. Intell., 2025

Wave energy forecasting: A state-of-the-art survey and a comprehensive evaluation.

Ruobin Gao, Xiaocai Zhang, Maohan Liang, Ponnuthurai Nagaratnam Suganthan, Heng Dong

Appl. Soft Comput., 2025

Discontinuous Parsimony Embedding Empowered Transformer for Shipping Market Forecasting.

Ruobin Gao, Zicheng Wang, Minghui Hu, Maohan Liang, Ponnuthurai Nagaratnam Suganthan

Proceedings of the International Joint Conference on Neural Networks, 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

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