Xiaoyu Zhang

Orcid: 0000-0002-5179-247X

Affiliations:
  • Shenyang University of Technology, School of Artificial Intelligence, China
  • Dalian University of Technology, School of Control Science and Engineering, MOE Key Laboratory of Intelligent Control and Optimization for Industrial Equipment, China (PhD 2023)
  • Muroran Institute of Technology, Japan (former)


According to our database1, Xiaoyu Zhang authored at least 10 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
Double Broad Q-Network for Overtaking Control of Autonomous Driving.
IEEE Trans. Veh. Technol., May, 2025

2024
OHMA: An Edge-Based Lightweight Occluded Target Re-Identification Framework for Exploring Abundant Feature Expression.
IEEE Trans. Consumer Electron., November, 2024

Task Offloading for IoAV Under Extreme Weather Conditions Using Dynamic Price Driven Double Broad Reinforcement Learning.
IEEE Internet Things J., May, 2024

Exponentially Synchronous Results for Delayed Neural Networks With Leakage Delay via Switched Delay Idea and AED-ADT Method.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

MetaGON: A Lightweight Pedestrian Re-Identification Domain Generalization Model Adapted to Edge Devices.
IEEE Open J. Commun. Soc., 2024

2023
An Efficient Multimodal Fusion Pipeline for Nighttime 3D Object Detection with PointrendPainting.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Distributed Task Offloading for IoAV Using DDP-DQN.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

LK-TDDQN:A Lane Keeping Transfer Double Deep Q Network Framework for Autonomous Vehicles.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Delay-Dependent Switching Approaches for Stability Analysis of Two Additive Time-Varying Delay Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022

Exponential Stability of Mixed Time-Delay Neural Networks Based on Switching Approaches.
IEEE Trans. Cybern., 2022


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