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Zhongliang Yu

Orcid: 0000-0002-5434-9318

Affiliations:
  • Chongqing University, Chongqing, China
  • Yu Harbin Institute of Technology, Heilongjiang, China (former)


According to our database1, Zhongliang Yu authored at least 11 papers between 2022 and 2025.

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

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2025
Meta-reinforcement learning for active visual tracking about space non-cooperative object.
[BibTeX]
[DOI]
Zhongliang Yu
Multim. Tools Appl., July, 2025

Fractional-Order Meta-Reinforcement Learning for Space Noncooperative Object Active Visual Tracking.
[BibTeX]
[DOI]
Zhongliang Yu
,
Xiaojie Su
,
Guanghui Sun
IEEE Trans. Aerosp. Electron. Syst., April, 2025

SFBDA: A Semantic-Decoupled Data Augmentation Framework for Infrared Few-Shot Object Detection on UAVs.
[BibTeX]
[DOI]
Zhenhai Weng
,
Weijie He
,
Jianfeng Lv
,
Dong Zhou
,
Zhongliang Yu
IEEE Geosci. Remote. Sens. Lett., 2025

2024
A PID controller method for meta-learning about aerospace target classification.
[BibTeX]
[DOI]
Zhongliang Yu
,
Jianfeng Lv
Multim. Tools Appl., April, 2024

Diagnosis of PEM Fuel Cell System Based on Electrochemical Impedance Spectroscopy and Deep Learning Method.
[BibTeX]
[DOI]
Jianfeng Lv
,
Jiyuan Kuang
,
Zhongliang Yu
,
Guanghui Sun
,
Jianxing Liu
,
José I. Leon
IEEE Trans. Ind. Electron., 2024

GTAN: graph-based tracklet association network for multi-object tracking.
[BibTeX]
[DOI]
Jianfeng Lv
,
Zhongliang Yu
,
Yifan Liu
,
Guanghui Sun
Neural Comput. Appl., 2024

Vision-Based Deep Reinforcement Learning of UAV Autonomous Navigation Using Privileged Information.
[BibTeX]
[DOI]
Junqiao Wang
,
Zhongliang Yu
,
Dong Zhou
,
Jiaqi Shi
,
Runran Deng
CoRR, 2024

2023
A PID Based Meta-Learning Method About Space Non-Cooperative Active Object Tracking.
[BibTeX]
[DOI]
Zhongliang Yu
,
Guanghui Sun
IEEE Trans. Veh. Technol., November, 2023

An information fusion method for meta-tracker about online aerospace object tracking.
[BibTeX]
[DOI]
Zhongliang Yu
J. Intell. Fuzzy Syst., October, 2023

A Fractional-Order Method for Metalearning About Aerospace Target Classification.
[BibTeX]
[DOI]
Zhongliang Yu
,
Jianfeng Lv
IEEE Trans. Aerosp. Electron. Syst., April, 2023

2022
A fractional-order momentum optimization approach of deep neural networks.
[BibTeX]
[DOI]
Zhongliang Yu
,
Guanghui Sun
,
Jianfeng Lv
Neural Comput. Appl., 2022


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