Huanhuan Li

21 papers Journal 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
COVID crisis-aware maritime risk assessment: A Bayesian network analysis.
Reliab. Eng. Syst. Saf.
Huanhuan Li, Hang Jiao, Zhong Shuo Chen, Jasmine Siu Lee Lam, Zaili Yang
2026 J jnl
Impact of voyage segments on maritime accidents: An analysis of navigational factors and accident causes.
Reliab. Eng. Syst. Saf.
Yiheng Wu, Huanhuan Li, Hang Jiao, Zhong Shuo Chen, Alan J. Murphy, Zaili Yang
2026 J jnl
Systemic risk analysis of complex socio-technical systems from the safety-II perspective.
Reliab. Eng. Syst. Saf.
Massoud Mohsendokht, Huanhuan Li, Christos A. Kontovas, Chia-Hsun Chang, Zhuohua Qu, Zaili Yang
2025 J jnl
Analysis of the impact of climate-driven extreme weather events (EWEs) on the UK train delays: A data-driven BN approach.
Reliab. Eng. Syst. Saf.
Leila Kamalian, Huanhuan Li, Mark Ching-Pong Poo, Ana Bras, Adolf K. Y. Ng, Zaili Yang
2024 J jnl
A data-driven risk model for maritime casualty analysis: A global perspective.
Reliab. Eng. Syst. Saf.
Kaiwen Zhou, Wenbin Xing, Jingbo Wang, Huanhuan Li, Zaili Yang
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
COLERGs-constrained safe reinforcement learning for realising MASS's risk-informed collision avoidance decision making.
Knowl. Based Syst.
Chengbo Wang, Xinyu Zhang, Hongbo Gao, Musa Bashir, Huanhuan Li, Zaili Yang
2024 J jnl
Incorporation of a global perspective into data-driven analysis of maritime collision accident risk.
Reliab. Eng. Syst. Saf.
Huanhuan Li, Cihad Çelik, Musa Bashir, Lu Zou, Zaili Yang
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
2023 J jnl
A two-phase filtering of discriminative shapelets learning for time series classification.
Appl. Intell.
Chen Li, Yuan Wan, Wenjing Zhang, Huanhuan Li
2023 J jnl
Data-driven Bayesian network for risk analysis of global maritime accidents.
Reliab. Eng. Syst. Saf.
Huanhuan Li, Xujie Ren, Zaili Yang
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 J jnl
Graph-based ship traffic partitioning for intelligent maritime surveillance in complex port waters.
Expert Syst. Appl.
Xuri Xin, Kezhong Liu, Sean Loughney, Jin Wang, Huanhuan Li, Zaili Yang
2023 J jnl
Multi-scale collision risk estimation for maritime traffic in complex port waters.
Reliab. Eng. Syst. Saf.
Xuri Xin, Kezhong Liu, Sean Loughney, Jin Wang, Huanhuan Li, Nduka Ekere, Zaili Yang
2023 J jnl
Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis.
Eng. Appl. Artif. Intell.
Huanhuan Li, Hang Jiao, Zaili Yang
2023 J jnl
Towards safe navigation environment: The imminent role of spatio-temporal pattern mining in maritime piracy incidents analysis.
Reliab. Eng. Syst. Saf.
Huanhuan Li, Zaili Yang
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
2020 J jnl
Adaptively constrained dynamic time warping for time series classification and clustering.
Inf. Sci.
Huanhuan Li, Jingxian Liu, Zaili Yang, Ryan Wen Liu, Kefeng Wu, Yuan Wan
2019 J jnl
Adaptive Douglas-Peucker Algorithm With Automatic Thresholding for AIS-Based Vessel Trajectory Compression.
IEEE Access
Jingxian Liu, Huanhuan Li, Zaili Yang, Kefeng Wu, Yi Liu, Ryan Wen Liu
2018 J jnl
Spatio-Temporal Vessel Trajectory Clustering Based on Data Mapping and Density.
IEEE Access
Huanhuan Li, Jingxian Liu, Kefeng Wu, Zaili Yang, Ryan Wen Liu, Naixue Xiong
2017 J jnl
A Dimensionality Reduction-Based Multi-Step Clustering Method for Robust Vessel Trajectory Analysis.
Sensors
Huanhuan Li, Jingxian Liu, Ryan Wen Liu, Naixue Xiong, Kefeng Wu, Tai-Hoon Kim