A Dimensionality Reduction-Based Multi-Step Clustering Method for Robust Vessel Trajectory Analysis. - Huanhuan Li 001; Jingxian Liu; Ryan Wen Liu; Naixue Xiong; Kefeng Wu; Tai-Hoon Kim (Sensors, 2017)

Spatio-Temporal Vessel Trajectory Clustering Based on Data Mapping and Density. - Huanhuan Li 001; Jingxian Liu; Kefeng Wu; Zaili Yang; Ryan Wen Liu; Naixue Xiong (IEEE Access, 2018)

Adaptive Douglas-Peucker Algorithm With Automatic Thresholding for AIS-Based Vessel Trajectory Compression. - Jingxian Liu; Huanhuan Li 001; Zaili Yang; Kefeng Wu; Yi Liu; Ryan Wen Liu (IEEE Access, 2019)

Adaptively constrained dynamic time warping for time series classification and clustering. - Huanhuan Li 001; Jingxian Liu; Zaili Yang; Ryan Wen Liu; Kefeng Wu; Yuan Wan (Inf. Sci., 2020)

Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network. - Maohan Liang; Ryan Wen Liu; Yang Zhan 007; Huanhuan Li 001; Fenghua Zhu; Fei-Yue Wang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Data-driven Bayesian network for risk analysis of global maritime accidents. - Huanhuan Li 001; Xujie Ren; Zaili Yang (Reliab. Eng. Syst. Saf., 2023)

A two-phase filtering of discriminative shapelets learning for time series classification. - Chen Li; Yuan Wan; Wenjing Zhang; Huanhuan Li 001 (Appl. Intell., 2023)

Towards safe navigation environment: The imminent role of spatio-temporal pattern mining in maritime piracy incidents analysis. - Huanhuan Li 001; Zaili Yang (Reliab. Eng. Syst. Saf., 2023)

Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis. - Huanhuan Li 001; Hang Jiao; Zaili Yang (Eng. Appl. Artif. Intell., 2023)

Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping. - Yan Li 110; Maohan Liang; Huanhuan Li 001; Zaili Yang; Liang Du 005; Zhongshuo Chen (Eng. Appl. Artif. Intell., 2023)

Graph-based ship traffic partitioning for intelligent maritime surveillance in complex port waters. - Xuri Xin; Kezhong Liu; Sean Loughney; Jin Wang 042; Huanhuan Li 001; Zaili Yang (Expert Syst. Appl., 2023)

Multi-scale collision risk estimation for maritime traffic in complex port waters. - Xuri Xin; Kezhong Liu; Sean Loughney; Jin Wang 042; Huanhuan Li 001; Nduka Ekere; Zaili Yang (Reliab. Eng. Syst. Saf., 2023)

Benchmarking feed-forward randomized neural networks for vessel trajectory prediction. - Ruke Cheng; Maohan Liang; Huanhuan Li 001; Kum Fai Yuen (Comput. Electr. Eng., 2024)

COLERGs-constrained safe reinforcement learning for realising MASS's risk-informed collision avoidance decision making. - Chengbo Wang 001; Xinyu Zhang 020; Hongbo Gao 001; Musa Bashir; Huanhuan Li 001; Zaili Yang (Knowl. Based Syst., 2024)

Incorporation of a global perspective into data-driven analysis of maritime collision accident risk. - Huanhuan Li 001; Cihad Çelik; Musa Bashir; Lu Zou; Zaili Yang (Reliab. Eng. Syst. Saf., 2024)

A data-driven risk model for maritime casualty analysis: A global perspective. - Kaiwen Zhou; Wenbin Xing; Jingbo Wang; Huanhuan Li 001; Zaili Yang (Reliab. Eng. Syst. Saf., 2024)

PiracyAnalyzer: Spatial temporal patterns analysis of global piracy incidents. - Maohan Liang; Huanhuan Li 001; Ryan Wen Liu; Jasmine Siu Lee Lam; Zaili Yang (Reliab. Eng. Syst. Saf., 2024)

Analysis of the impact of climate-driven extreme weather events (EWEs) on the UK train delays: A data-driven BN approach. - Leila Kamalian; Huanhuan Li 001; Mark Ching-Pong Poo; Ana Bras; Adolf K. Y. Ng; Zaili Yang (Reliab. Eng. Syst. Saf., 2025)