Huanhuan Li

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 12

Top Topics

Convolutional Network

Temporal Pattern Mining

Top Venues

Reliab. Eng. Syst. Saf.

Eng. Appl. Artif. Intell.

Comput. Electr. Eng.

IEEE Trans. Intell. Transp. Syst.

Publications

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)
Huanhuan Li, Cihad Çelik, Musa Bashir, Lu Zou, Zaili Yang
Incorporation of a global perspective into data-driven analysis of maritime collision accident risk. Reliab. Eng. Syst. Saf. 249 (2024)
Chengbo Wang, Xinyu Zhang, Hongbo Gao, Musa Bashir, Huanhuan Li, Zaili Yang
COLERGs-constrained safe reinforcement learning for realising MASS's risk-informed collision avoidance decision making. Knowl. Based Syst. 300 (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)
Kaiwen Zhou, Wenbin Xing, Jingbo Wang, Huanhuan Li, Zaili Yang
A data-driven risk model for maritime casualty analysis: A global perspective. Reliab. Eng. Syst. Saf. 244 (2024)
Huanhuan Li, Xujie Ren, Zaili Yang
Data-driven Bayesian network for risk analysis of global maritime accidents. Reliab. Eng. Syst. Saf. 230 (2023)
Xuri Xin, Kezhong Liu, Sean Loughney, Jin Wang, Huanhuan Li, Nduka Ekere, Zaili Yang
Multi-scale collision risk estimation for maritime traffic in complex port waters. Reliab. Eng. Syst. Saf. 240 (2023)
Xuri Xin, Kezhong Liu, Sean Loughney, Jin Wang, Huanhuan Li, Zaili Yang
Graph-based ship traffic partitioning for intelligent maritime surveillance in complex port waters. Expert Syst. Appl. 231 (2023)
Huanhuan Li, Zaili Yang
Towards safe navigation environment: The imminent role of spatio-temporal pattern mining in maritime piracy incidents analysis. Reliab. Eng. Syst. Saf. 238 (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)
Huanhuan Li, Hang Jiao, Zaili Yang
Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis. Eng. Appl. Artif. Intell. 126 (2023)
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)