Huanhuan Li

According to our database, Huanhuan Li authored at least 17 papers between 2017 and 2024.

Collaborative distances:

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

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

A data-driven risk model for maritime casualty analysis: A global perspective.

Kaiwen Zhou, Wenbin Xing, Jingbo Wang, Huanhuan Li, Zaili Yang

Reliab. Eng. Syst. Saf., 2024

Incorporation of a global perspective into data-driven analysis of maritime collision accident risk.

Huanhuan Li, Cihad Çelik, Musa Bashir, Lu Zou, Zaili Yang

Reliab. Eng. Syst. Saf., 2024

COLERGs-constrained safe reinforcement learning for realising MASS's risk-informed collision avoidance decision making.

Chengbo Wang, Xinyu Zhang, Hongbo Gao, Musa Bashir, Huanhuan Li, Zaili Yang

Knowl. Based Syst., 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

Multi-scale collision risk estimation for maritime traffic in complex port waters.

Xuri Xin, Kezhong Liu, Sean Loughney, Jin Wang, Huanhuan Li, Nduka Ekere, Zaili Yang

Reliab. Eng. Syst. Saf., December, 2023

Graph-based ship traffic partitioning for intelligent maritime surveillance in complex port waters.

Xuri Xin, Kezhong Liu, Sean Loughney, Jin Wang, Huanhuan Li, Zaili Yang

Expert Syst. Appl., November, 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

Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis.

Huanhuan Li, Hang Jiao, Zaili Yang

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

Towards safe navigation environment: The imminent role of spatio-temporal pattern mining in maritime piracy incidents analysis.

Huanhuan Li, Zaili Yang

Reliab. Eng. Syst. Saf., October, 2023

A two-phase filtering of discriminative shapelets learning for time series classification.

Chen Li, Yuan Wan, Wenjing Zhang, Huanhuan Li

Appl. Intell., June, 2023

Data-driven Bayesian network for risk analysis of global maritime accidents.

Huanhuan Li, Xujie Ren, Zaili Yang

Reliab. Eng. Syst. Saf., 2023

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

2020

Adaptively constrained dynamic time warping for time series classification and clustering.

Huanhuan Li, Jingxian Liu, Zaili Yang, Ryan Wen Liu, Kefeng Wu, Yuan Wan

Inf. Sci., 2020

2019

Adaptive Douglas-Peucker Algorithm With Automatic Thresholding for AIS-Based Vessel Trajectory Compression.

Jingxian Liu, Huanhuan Li, Zaili Yang, Kefeng Wu, Yi Liu, Ryan Wen Liu

IEEE Access, 2019

2018

Spatio-Temporal Vessel Trajectory Clustering Based on Data Mapping and Density.

Huanhuan Li, Jingxian Liu, Kefeng Wu, Zaili Yang, Ryan Wen Liu, Naixue Xiong

IEEE Access, 2018

2017

A Dimensionality Reduction-Based Multi-Step Clustering Method for Robust Vessel Trajectory Analysis.

Huanhuan Li, Jingxian Liu, Ryan Wen Liu, Naixue Xiong, Kefeng Wu, Tai-Hoon Kim

Sensors, 2017