A Novel Channel and Temporal-Wise Attention in Convolutional Networks for Multivariate Time Series Classification. - Xu Cheng 003; Peihua Han; Guoyuan Li; Shengyong Chen; Houxiang Zhang (IEEE Access, 2020)

Online Fault Detection in Autonomous Ferries: Using Fault-Type Independent Spectral Anomaly Detection. - André Listou Ellefsen; Peihua Han; Xu Cheng 003; Finn Tore Holmeset; Vilmar Æsøy; Houxiang Zhang (IEEE Trans. Instrum. Meas., 2020)

Data-driven sea state estimation for vessels using multi-domain features from motion responses. - Peihua Han; Guoyuan Li; Stian Skjong; Baiheng Wu; Houxiang Zhang (ICRA, 2021)

A Deep Learning Approach to Detect and Isolate Thruster Failures for Dynamically Positioned Vessels Using Motion Data. - Peihua Han; Guoyuan Li; Robert Skulstad; Stian Skjong; Houxiang Zhang (IEEE Trans. Instrum. Meas., 2021)

A Camera-based Deep-Learning Solution for Visual Attention Zone Recognition in Maritime Navigational Operations. - Baiheng Wu; Peihua Han; Motoyasu Kanazawa; Hans Petter Hildre; Luman Zhao; Houxiang Zhang; Guoyuan Li (IROS, 2022)

An Uncertainty-Aware Hybrid Approach for Sea State Estimation Using Ship Motion Responses. - Peihua Han; Guoyuan Li; Xu Cheng 003; Stian Skjong; Houxiang Zhang (IEEE Trans. Ind. Informatics, 2022)

Data-Driven Modeling for Transferable Sea State Estimation Between Marine Systems. - Xu Cheng 003; Guoyuan Li; Peihua Han; Robert Skulstad; Shengyong Chen; Houxiang Zhang (IEEE Trans. Intell. Transp. Syst., 2022)

Impacts of COVID-19 on Ship Behaviours in Port Area: An AIS Data-Based Pattern Recognition Approach. - Chunlin Wang; Guoyuan Li; Peihua Han; Ottar L. Osen; Houxiang Zhang (IEEE Trans. Intell. Transp. Syst., 2022)

Interpretable Fault Detection Approach With Deep Neural Networks to Industrial Applications. - Fatemeh Kakavandi; Peihua Han; Roger De Reus; Peter Gorm Larsen; Houxiang Zhang (ICCAD, 2023)

Digital Prototyping of a Stocked Cage with Multi-Sensor Integration. - Sihan Gao; Kana Banno; Zhicheng Hu; Peihua Han; Lars Christian Gansel; Guoyuan Li; Houxiang Zhang (ICCMA, 2023)

A Virtual Learning Platform for Biomedical Laboratory Scientists Using Unity3D. - Peihua Han; Guoyuan Li; Sai Rana Thattavelil Sunilkumar; Yanran Cao (ICCMA, 2023)

Informed Clustering for Encounter Type Categorization Based on AIS Data. - Weiwei Tian; Peihua Han; Mingda Zhu; Øivind Kåre Kjerstad; Guoyuan Li; Houxiang Zhang (ICCMA, 2023)

Local Ocean Wave Field Estimation Using a Deep Generative Model of Wave Buoys. - Peihua Han; Hans Petter Hildre; Houxiang Zhang (IEEE Trans. Geosci. Remote. Sens., 2023)

A Digital Twin of the Research Vessel Gunnerus for Lifecycle Services: Outlining Key Technologies. - Houxiang Zhang; Guoyuan Li; Lars Ivar Hatledal; Yingguang Chu; André Listou Ellefsen; Peihua Han; Pierre Major; Robert Skulstad; Tongtong Wang; Hans Petter Hildre (IEEE Robotics Autom. Mag., 2023)

A Multi-AttentionLSTM model for multi-ship encounter classification. - Weiwei Tian; Peihua Han; Mingda Zhu; Øivind Kåre Kjerstad; Guoyuan Li; Houxiang Zhang (RCAR, 2024)

Interaction-Aware Short-Term Marine Vessel Trajectory Prediction With Deep Generative Models. - Peihua Han; Mingda Zhu; Houxiang Zhang (IEEE Trans. Ind. Informatics, 2024)

AIS Data-Based Hybrid Predictor for Short-Term Ship Trajectory Prediction Considering Uncertainties. - Chunlin Wang; Peihua Han; Mingda Zhu; Ottar L. Osen; Houxiang Zhang; Guoyuan Li (IEEE Trans. Intell. Transp. Syst., 2024)

An AIS Data-Driven Hybrid Approach to Ship Trajectory Prediction. - Mingda Zhu; Peihua Han; Chunlin Wang; Robert Skulstad; Houxiang Zhang; Guoyuan Li (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Deep Autoregressive Roll Motion Prediction of Marine Vessels. - Peihua Han; Robert Skulstad; Houxiang Zhang (IEEE Trans. Ind. Electron., 2025)