Hangzhou, China

Jun Qi

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignees: Alipay (Hangzhou) Information Technology Co., Ltd., Alipay (Hangzhou) Information Technology Co., Ltd.. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jun Qi. Retrieved from https://idiyas.com/inventor/jun-qi-nea4wguo

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

USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2025-2026

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2 patents (USPTO):Explore Patents

Title: Innovations by Jun Qi in Query Optimization

Introduction

Jun Qi is a notable inventor based in Hangzhou, China. He has made significant contributions to the field of database technology, particularly in the area of query optimization for secure multi-party databases. His work is essential for enhancing the efficiency and security of data management systems.

Latest Patents

Jun Qi holds a patent for "Query optimization methods, apparatuses, and systems for secure multi-party database." This patent outlines methods and systems that improve the execution of queries across multiple databases while ensuring security. The implementation involves receiving a current query, generating execution plans, and determining the optimal plan based on cost computations from secure results.

Career Highlights

Jun Qi is associated with Alipay (Hangzhou) Information Technology Co., Ltd., where he applies his expertise in database systems. His innovative approach to query optimization has positioned him as a key figure in the technology sector.

Collaborations

Jun Qi has collaborated with talented individuals such as Yang Yang and Qunshan Huang. Their combined efforts contribute to advancements in database technology and optimization methods.

Conclusion

Jun Qi's work in query optimization represents a significant advancement in secure database management. His contributions are vital for the ongoing development of efficient and secure data systems.

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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