Beijing, China

Ruoyi Du

This inventor holds 2 USPTO granted patents. Top assignee: Beijing University of Posts and Telecommunications. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ruoyi Du. Retrieved from https://idiyas.com/inventor/ruoyi-du

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 = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025-2026

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2 patents (USPTO):Explore Patents

Title: Ruoyi Du: Innovator in Multi-View Fine-Grained Identification

Introduction

Ruoyi Du is a prominent inventor based in Beijing, China. She has made significant contributions to the field of image identification through her innovative patent. Her work focuses on enhancing the efficiency of fine-grained identification methods, which are crucial in various technological applications.

Latest Patents

Ruoyi Du holds a patent for a "Multi-view fine-grained identification method, apparatus, electronic device and medium." This invention addresses the limitations of traditional fine-grained image identification methods that rely solely on single images. By utilizing a sample data set consisting of multi-view images, her method trains an initial classification model that can actively select the next view image for identification. This approach not only aggregates information from multiple views but also improves identification efficiency.

Career Highlights

Ruoyi Du is affiliated with the Beijing University of Posts and Telecommunications, where she continues to advance her research and innovations. Her work has garnered attention for its practical applications in various fields, including artificial intelligence and image processing.

Collaborations

Ruoyi Du collaborates with notable colleagues such as Zhanyu Ma and Kongming Liang, contributing to a dynamic research environment that fosters innovation and development.

Conclusion

Ruoyi Du's contributions to multi-view fine-grained identification represent a significant advancement in the field of image processing. Her innovative approach not only enhances identification efficiency but also sets a new standard for future research in this area.

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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