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Jinrui Liao - IEEE Xplore Author Profile
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Jinrui Liao

Publications
5
Citations
14
Publications by Year
20222024
Co-Authors:
Show All Co-Authors (13)
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Jinrui Liao

Affiliation

Department of Intelligent Manufacturing
Wuyi University
Jiangmen, China
School of Electronics and Communication Engineering
Sun Yat-sen University
Shenzhen, China

Publication Topics

Biography

Jinrui Liao received the B.S. degree from Wuyi University, Jiangmen, China, in 2019, where he is currently pursuing the master’s degree with the Department of Intelligence Manufacturing.,His research interests include image analysis and pattern recognition.(Based on document published on 8 March 2022).
Publications
5
Citations
14
Publications by Year
20222024
Co-Authors:
Show All Co-Authors (13)
Author's Published Works

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LDCL: Low-Confidence Discriminant Contrastive Learning for Small-Sample SAR ATR

Jinrui Liao;Yikui Zhai;Qingsong Wang;Bing Sun;Vincenzo Piuri

IEEE Transactions on Geoscience and Remote Sensing
Year: 2024 | Volume: 62 | Journal Article |
Cited by: Papers (5)
Synthetic aperture radar (SAR) target image acquisition presents challenges and incurs high annotation costs. The emergence of self-supervised contrastive learning shows promise for SAR automatic target recognition (ATR) with limited data. However, SAR images suffer from poor discriminability and high sample similarity, hindering instance discrimination in contrastive learning. To address this, we...Show More

LDCL: Low-Confidence Discriminant Contrastive Learning for Small-Sample SAR ATR

Jinrui Liao;Yikui Zhai;Qingsong Wang;Bing Sun;Vincenzo Piuri

Year: 2024 | Volume: 62 | Journal Article |

Dual Consistency Alignment Based Self-Supervised Learning for SAR Target Recognition With Speckle Noise Resistance

Yikui Zhai;Jinrui Liao;Bing Sun;Ziyi Jiang;Zilu Ying;Wenqi Wang;Angelo Genovese;Vincenzo Piuri;Fabio Scotti

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year: 2023 | Volume: 16 | Journal Article |
Cited by: Papers (6)
Deep-learning-based on convolutional neural networks (CNN) has been widely applied in synthetic aperture radar (SAR) target recognition and made significant progress. However, due to the physical effects of the equipment used to collect images, various degrees of speckle noise will be introduced into SAR images. Traditional CNN-based SAR target recognition methods are premised on the same noise in...Show More

Dual Consistency Alignment Based Self-Supervised Learning for SAR Target Recognition With Speckle Noise Resistance

Yikui Zhai;Jinrui Liao;Bing Sun;Ziyi Jiang;Zilu Ying;Wenqi Wang;Angelo Genovese;Vincenzo Piuri;Fabio Scotti

Year: 2023 | Volume: 16 | Journal Article |

WPCNet: Highly Accurate Workpiece Counting Network in Unrestricted Scenes

Ziyi Jiang;Jinrui Liao;Wenqi Wang;Yikui Zhai

2022 4th International Conference on Applied Machine Learning (ICAML)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
The development of steel/aluminum (called work-pieces) industry often focuses on productivity, labour costs and quality control, which are essential for industry. However, the counting of workpieces is inseparable from a large amount of labor, so that the problems of low efficiency, high cost and low accuracy of manual counting are highlighted. To address these issues, we propose an accurate workp...Show More

WPCNet: Highly Accurate Workpiece Counting Network in Unrestricted Scenes

Ziyi Jiang;Jinrui Liao;Wenqi Wang;Yikui Zhai

Year: 2022 | Conference Paper |

Self-Supervised Learning Combined Group and Instance Discrimination for Small Sample SAR ATR

Jinrui Liao;Ziyi Jiang;Wenqi Wang;Yikui Zhai

2022 4th International Conference on Applied Machine Learning (ICAML)
Year: 2022 | Conference Paper |
Some Synthetic aperture radar (SAR) target images are challenging to acquire and costly to label. Self-supervised learning is available for SAR Automatic Target Recognition(SAR, ATR) applied to small samples, but the poor discrimination of SAR images and the large similarity between samples are not conducive to self-supervised learning for instance discrimination. In this paper, we proposed a self...Show More

Self-Supervised Learning Combined Group and Instance Discrimination for Small Sample SAR ATR

Jinrui Liao;Ziyi Jiang;Wenqi Wang;Yikui Zhai

Year: 2022 | Conference Paper |

A³PNet: Antijam and Accurate Antenna Parameters Measuring Network for Mobile Communication Base Station Using UAV

Yikui Zhai;Ziyi Jiang;Chaoyun Mai;Jinrui Liao;Wenqi Wang;Junying Zeng;Chuanbo Qin;Ruggero Donida Labati;Vincenzo Piuri;Fabio Scotti

IEEE Transactions on Instrumentation and Measurement
Year: 2022 | Volume: 71 | Journal Article |
Cited by: Papers (2)
Whether the down-tilt angle of the mobile communication base station antenna is reasonable directly affects the coverage effect and communication quality of the whole network. Measurement of traditional antenna parameters mainly relies on engineers climbing the base station for manual measurements, confronting the dilemma of low measurement efficiency and a dangerous working environment. Moreover,...Show More

A³PNet: Antijam and Accurate Antenna Parameters Measuring Network for Mobile Communication Base Station Using UAV

Yikui Zhai;Ziyi Jiang;Chaoyun Mai;Jinrui Liao;Wenqi Wang;Junying Zeng;Chuanbo Qin;Ruggero Donida Labati;Vincenzo Piuri;Fabio Scotti

Year: 2022 | Volume: 71 | Journal Article |

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