Chengdu, China

Xiaoyu Xu

This inventor holds 1 USPTO granted patent. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiaoyu Xu. Retrieved from https://idiyas.com/inventor/xiaoyu-xu-zc843dn6

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations in Ground-Penetrating Radar Imaging by Xiaoyu Xu

Introduction

Xiaoyu Xu is a prominent inventor based in Chengdu, China. She has made significant contributions to the field of ground-penetrating radar imaging. Her innovative methods enhance the interpretation of radar images, particularly in identifying abnormal areas.

Latest Patents

Xiaoyu Xu holds a patent for a method titled "Method of enhancing abnormal area of ground-penetrating radar image based on hybrid-supervised learning." This patent outlines a process that includes building a comprehensive database with real and simulated image sets. The method employs a generative adversarial network to improve the quality of radar images, effectively addressing the challenges posed by differences between simulated and real images.

Career Highlights

Throughout her career, Xiaoyu Xu has focused on advancing technologies that improve the efficiency of radar imaging. Her work has led to enhanced utilization of real image information and improved saliency of abnormal areas in radar images. This innovation significantly contributes to the field of geophysical exploration and analysis.

Collaborations

Xiaoyu Xu has collaborated with notable colleagues, including Guangle Yao and Honghui Wang. Their teamwork has fostered advancements in the methodologies used in ground-penetrating radar imaging.

Conclusion

Xiaoyu Xu's innovative approach to enhancing ground-penetrating radar images demonstrates her commitment to advancing technology in this field. Her contributions are paving the way for more effective analysis and interpretation of radar data.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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