Xinyu Zhang

Orcid: 0000-0002-4986-4649

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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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
Human motion segmentation based on structure constraint matrix factorization.
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

Vessel traffic scheduling optimization for restricted channel in ports.
Comput. Ind. Eng., 2021

The Ninth Visual Object Tracking VOT2021 Challenge Results.
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Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Predicting Locus-Specific DNA Methylation Based on Deep Neural Network.
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
Sea Surface Simulation in Large Coastal Region for Maritime Simulators.
Proceedings of the Fifth International Conference on Image and Graphics, 2009


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