Xinyu Zhang
Orcid: 0000-0002-4986-4649Affiliations:
- Dalian Maritime University, Maritime Intelligent Transportation Research Team, Navigation College, China
According to our database1,
Xinyu Zhang
authored at least 23 papers
between 2009 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Research on Intelligent Collision Avoidance and Obstacle Avoidance of Unmanned Surface Vehicle in Multitarget Encounter Scenario.
IEEE Internet Things J., August, 2025
Optimization of integrated accurate ride-tide planning and vessel scheduling in multi-functional ports with long channels.
Expert Syst. Appl., 2025
Collaborative optimization of vessel scheduling and tugboat allocation in seaports using a multi-action deep reinforcement learning framework.
Eng. Appl. Artif. Intell., 2025
2024
An approach for traffic pattern recognition integration of ship AIS data and port geospatial features.
Geo spatial Inf. Sci., November, 2024
COLERGs-constrained safe reinforcement learning for realising MASS's risk-informed collision avoidance decision making.
Knowl. Based Syst., 2024
Bio-inspired algorithms for cybersecurity - a review of the state-of-the-art and challenges.
Int. J. Bio Inspired Comput., 2024
Robust optimization for a class of ship traffic scheduling problem with uncertain arrival and departure times.
Eng. Appl. Artif. Intell., 2024
A machine learning-based adaptive heuristic for vessel scheduling problem under uncertainty via chance-constrained programming.
Comput. Electr. Eng., 2024
2023
Disruption management-based coordinated scheduling for vessels and ship loaders in bulk ports.
Adv. Eng. Informatics, April, 2023
2022
Sci. China Inf. Sci., 2022
Collaborative optimization for loading operation planning and vessel traffic scheduling in dry bulk ports.
Adv. Eng. Informatics, 2022
2021
A Real-Time Collision Avoidance Framework of MASS Based on B-Spline and Optimal Decoupling Control.
Sensors, 2021
Extended-Range Prediction Model Using NSGA-III Optimized RNN-GRU-LSTM for Driver Stress and Drowsiness.
Sensors, 2021
Comput. Ind. Eng., 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
2020
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2020
Machine Learning Meets Big Data: An Overview of Diagnostic and Prognostic Prediction for Cancer.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2020
2019
Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning.
Sensors, 2019
Intelligent multi-task allocation and planning for multiple unmanned surface vehicles (USVs) using self-organising maps and fast marching method.
Inf. Sci., 2019
Research on intelligent collision avoidance decision-making of unmanned ship in unknown environments.
Evol. Syst., 2019
2018
Path Planning of Maritime Autonomous Surface Ships in Unknown Environment with Reinforcement Learning.
Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018
2015
Data reduction algorithm based on curvature and topology control for radar simulation in maritime simulator.
J. Comput. Methods Sci. Eng., 2015
2009
Proceedings of the Fifth International Conference on Image and Graphics, 2009