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Maohan Liang
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2020 – today
- 2024
- [j9]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: 107625 (2024) - [j8]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: 111313 (2024) - [j7]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: 109877 (2024) - [i3]Tianyi Chen, Hua Wang, Yutong Cai, Maohan Liang, Qiang Meng:
Exploring Key Factors for Long-Term Vessel Incident Risk Prediction. CoRR abs/2405.19804 (2024) - [i2]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 abs/2407.13264 (2024) - 2023
- [j6]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: 107012 (2023) - [c5]Lingxuan Weng, Maohan Liang, Ruobin Gao, Zhong Shuo Chen:
Deep Learning-Empowered Unsupervised Maritime Anomaly Detection. ICONIP (13) 2023: 189-202 - [c4]Yuanzhe Zhang
, Qiqiang Jin
, Maohan Liang
, Ruixin Ma
, Ryan Wen Liu
:
Vessel Behavior Anomaly Detection Using Graph Attention Network. ICONIP (5) 2023: 291-304 - 2022
- [j5]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): 7977-7987 (2022) - [j4]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): 23694-23707 (2022) - [j3]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): 3080-3094 (2022) - 2021
- [j2]Maohan Liang
, Yang Zhan
, Ryan Wen Liu
:
MVFFNet: Multi-view feature fusion network for imbalanced ship classification. Pattern Recognit. Lett. 151: 26-32 (2021) - [c3]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: 255-262 - [c2]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: 314-321 - [i1]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 abs/2101.03169 (2021)
2010 – 2019
- 2017
- [j1]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): 174 (2017) - 2016
- [c1]Ryan Wen Liu, Weihuang Wu, Maohan Liang, Tian Xu, Jingxian Liu:
Robust two-step image restoration with adaptive regularization parameter. ICIIP 2016: 47
Coauthor Index
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