Xi'an, China

Boyang Zhang

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.7

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: Boyang Zhang: Innovator in Database Query Management

Introduction

Boyang Zhang is a prominent inventor based in Xi'an, China. He has made significant contributions to the field of database management, particularly in the area of query optimization. With a total of 2 patents to his name, Zhang's work focuses on enhancing the efficiency of database query plans that incorporate dynamic conditions.

Latest Patents

Zhang's latest patents include innovative methods for caching and persisting database query plans that involve dynamic conditions. The first patent, titled "Caching database query plans that include dynamic conditions," describes a system that manages database query plans by determining whether a cached query plan exists. If not, it triggers query plan compilation to generate a new plan. The method also involves comparing filter strings to ensure the accuracy of the cached plan before executing the database query.

The second patent, "Persisting database query plans that include dynamic conditions," outlines a process for managing query plans by identifying and converting serialized abstract query plans into query optimizer trees. This method also includes generating filter strings and comparing them to ensure that the query plan is accurate before execution.

Career Highlights

Boyang Zhang is currently employed at SAP SE, where he continues to develop innovative solutions in database management. His work has been instrumental in advancing the efficiency and effectiveness of database systems.

Collaborations

Zhang collaborates with talented colleagues, including Yinghua Ouyang and Zhen Tian, who contribute to his projects and enhance the overall innovation process.

Conclusion

Boyang Zhang's contributions to database query management through his patents demonstrate his commitment to innovation in technology. His work not only improves database efficiency but also sets a foundation for future advancements in the field.

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