Maohan Liang

36 papers A* 1B 1Misc 1Journal 29Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A fine-grained predictive optimization framework for dynamic eco-routing of electric vehicles.
Comput. Ind. Eng.
Qi Liu, Yan Li, Maohan Liang, Ruobin Gao, Jinlei Zhang, Yang Liu
2026 J jnl
Natural language processing and text mining in transportation: Current status, challenges, and future roadmap.
Expert Syst. Appl.
Xiaocai Zhang, Ruobin Gao, Zhe Xiao, Ke Wang, Tao Liu, Maohan Liang, Jianjia Zhang
2026 A* conf
Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation.
AAAI
Xiaocai Zhang, Zhe Xiao, Maohan Liang, Tao Liu, Haijiang Li, Wenbin Zhang
2026 J jnl
Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation.
CoRR
Xiaocai Zhang, Zhe Xiao, Maohan Liang, Tao Liu, Haijiang Li, Wenbin Zhang
2026 J jnl
UPTM-LLM: Large language models-powered urban pedestrian travel modes recognition for intelligent transportation system.
Appl. Soft Comput.
Yan Li, Yang Zhan, Maohan Liang, Yu Zhang, Jinhao Liang
2025 J jnl
Big-data-driven vessel destination prediction for smart port management.
Eng. Appl. Artif. Intell.
Jin Chen, Qiang Zhang, Maohan Liang, Chang Peng, Chen Chen
2025 J jnl
Deep-TCP: Multi-source data fusion for deep learning-powered tropical cyclone intensity prediction to enhance urban sustainability.
Inf. Fusion
Shuailong Jiang, Maohan Liang, Chunzai Wang, Hanjie Fan, Yingying Ma
2025 B conf
Discontinuous Parsimony Embedding Empowered Transformer for Shipping Market Forecasting.
IJCNN
Ruobin Gao, Zicheng Wang, Minghui Hu, Maohan Liang, Ponnuthurai Nagaratnam Suganthan
2025 J jnl
Exploring key factors for long-term vessel incident risk prediction.
Reliab. Eng. Syst. Saf.
Tianyi Chen, Hua Wang, Yutong Cai, Maohan Liang, Qiang Meng
2025 J jnl
Improving Maritime Data: A Machine Learning-Based Model for Missing Vessel Trajectories Reconstruction.
IEEE Trans. Veh. Technol.
Jin Chen, Maohan Liang, Chang Peng, Jixin Zhang, Shengxu Huo
2025 J jnl
Integrating GPU-Accelerated for Fast Large-Scale Vessel Trajectories Visualization in Maritime IoT Systems.
IEEE Trans. Intell. Transp. Syst.
Maohan Liang, Kezhong Liu, Ruobin Gao, Yan Li
2025 J jnl
Multi-Sensor Fusion-Driven Surface Vessel Identification and Tracking Using Unmanned Aerial Vehicles for Maritime Surveillance.
IEEE Trans. Consumer Electron.
Chenjie Zhao, Mengwei Bao, Jinhao Liang, Maohan Liang, Ryan Wen Liu, Guangyao Pang
2025 J jnl
Ship anomalous behavior detection based on interval prediction of multiple vessel trajectories.
Eng. Appl. Artif. Intell.
Wentao Liu, Chen Chen, Yaowu Peng, Maohan Liang
2025 J jnl
Spatial-Frequency Fusion Network With Learnable Fractional Fourier Transform for Remote Sensing Imaging Enhancement.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Wenyu Xu, Maohan Liang, Yuxu Lu, Ruobin Gao, Dong Yang
2025 J jnl
Underwater Acoustic Signal Denoising Algorithms: A Survey of the State of the Art.
IEEE Trans. Instrum. Meas.
Ruobin Gao, Maohan Liang, Heng Dong, Xuewen Luo, Ponnuthurai N. Suganthan
2025 J jnl
Wave energy forecasting: A state-of-the-art survey and a comprehensive evaluation.
Appl. Soft Comput.
Ruobin Gao, Xiaocai Zhang, Maohan Liang, Ponnuthurai Nagaratnam Suganthan, Heng Dong
2024 J jnl
A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluation.
CoRR
Maohan Liang, Ryan Wen Liu, Ruobin Gao, Zhe Xiao, Xiaocai Zhang, Hua Wang
2024 J jnl
Advancements in Deep Learning Techniques for Time Series Forecasting in Maritime Applications: A Comprehensive Review.
Inf.
Meng Wang, Xinyan Guo, Yanling She, Yang Zhou, Maohan Liang, Zhongshuo Chen
2024 J jnl
Benchmarking feed-forward randomized neural networks for vessel trajectory prediction.
Comput. Electr. Eng.
Ruke Cheng, Maohan Liang, Huanhuan Li, Kum Fai Yuen
2024 J jnl
Exploring Key Factors for Long-Term Vessel Incident Risk Prediction.
CoRR
Tianyi Chen, Hua Wang, Yutong Cai, Maohan Liang, Qiang Meng
2024 J jnl
PiracyAnalyzer: Spatial temporal patterns analysis of global piracy incidents.
Reliab. Eng. Syst. Saf.
Maohan Liang, Huanhuan Li, Ryan Wen Liu, Jasmine Siu Lee Lam, Zaili Yang
2024 J jnl
Spatio-temporal multi-graph transformer network for joint prediction of multiple vessel trajectories.
Eng. Appl. Artif. Intell.
Ryan Wen Liu, Weixin Zheng, Maohan Liang
2024 J jnl
Underwater Acoustic Signal Denoising Algorithms: A Survey of the State-of-the-art.
CoRR
Ruobin Gao, Maohan Liang, Heng Dong, Xuewen Luo, Ponnuthurai N. Suganthan
2024 J jnl
Unsupervised maritime anomaly detection for intelligent situational awareness using AIS data.
Knowl. Based Syst.
Maohan Liang, Lingxuan Weng, Ruobin Gao, Yan Li, Liang Du
2023 — conf
Deep Learning-Empowered Unsupervised Maritime Anomaly Detection.
ICONIP (13)
Lingxuan Weng, Maohan Liang, Ruobin Gao, Zhong Shuo Chen
2023 J jnl
Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping.
Eng. Appl. Artif. Intell.
Yan Li, Maohan Liang, Huanhuan Li, Zaili Yang, Liang Du, Zhongshuo Chen
2023 — conf
Vessel Behavior Anomaly Detection Using Graph Attention Network.
ICONIP (5)
Yuanzhe Zhang, Qiqiang Jin, Maohan Liang, Ruixin Ma, Ryan Wen Liu
2022 J jnl
Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things.
IEEE Trans. Netw. Sci. Eng.
Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Wei Yang Bryan Lim, Yang Zhang, Mohsen Guizani
2022 J jnl
Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network.
IEEE Trans. Intell. Transp. Syst.
Maohan Liang, Ryan Wen Liu, Yang Zhan, Huanhuan Li, Fenghua Zhu, Fei-Yue Wang
2022 J jnl
STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network.
IEEE Trans. Ind. Informatics
Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Yanli Yuan, Zehui Xiong, Han Yu, Nadra Guizani
2021 J jnl
An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation.
CoRR
Maohan Liang, Ryan Wen Liu, Shichen Li, Zhe Xiao, Xin Liu, Feng Lu
2021 Misc conf
Extraction of Hottest Shipping Routes: From Positioning Data to Intelligent Surveillance.
IRI
Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Sahil Garg, Yang Zhang, Zehui Xiong
2021 — conf
Intelligent Data-Driven Vessel Trajectory Prediction in Marine Transportation Cyber-Physical System.
iThings/GreenCom/CPSCom/SmartData/Cybermatics
Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Xianjun Deng, Zehui Xiong, Jiawen Kang, Helin Yang, Yang Zhang
2021 J jnl
MVFFNet: Multi-view feature fusion network for imbalanced ship classification.
Pattern Recognit. Lett.
Maohan Liang, Yang Zhan, Ryan Wen Liu
2017 J jnl
Effective Alternating Direction Optimization Methods for Sparsity-Constrained Blind Image Deblurring.
Sensors
Naixue Xiong, Ryan Wen Liu, Maohan Liang, Di Wu, Zhao Liu, Huisi Wu
2016 — conf
Robust two-step image restoration with adaptive regularization parameter.
ICIIP
Ryan Wen Liu, Weihuang Wu, Maohan Liang, Tian Xu, Jingxian Liu