Beijing, China

Tao Meng

This inventor holds 1 USPTO granted patent. Top assignee: Beijing Volcano Engine Technology Co., Ltd.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tao Meng. Retrieved from https://idiyas.com/inventor/tao-meng-bnpgdz25

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 = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Tao Meng in Data Query Scheduling

Introduction

Tao Meng is an accomplished inventor based in Beijing, China. He has made significant contributions to the field of data query processing, particularly in the detection of scheduling deadlocks. His innovative approach addresses critical challenges faced in database management systems.

Latest Patents

Tao Meng holds a patent for a "Method and apparatus for detecting scheduling deadlock in data query." This patent discloses a method for identifying scheduling deadlocks in data queries. The invention involves a query plan tree generated by a query statement, which includes various operator nodes. By analyzing the execution order relationship between these nodes, the method effectively determines the presence of scheduling deadlocks.

Career Highlights

Tao Meng is currently employed at Beijing Volcano Engine Technology Co., Ltd. His work at this company focuses on enhancing data processing technologies. With his expertise, he has contributed to the development of innovative solutions that improve the efficiency of data queries.

Collaborations

Tao Meng collaborates with talented individuals in his field, including coworkers Tao Wang and Haitao Xu. Their combined efforts foster a creative environment that drives innovation in data query technologies.

Conclusion

Tao Meng's contributions to the field of data query processing through his patent demonstrate his commitment to innovation. His work not only addresses existing challenges but also paves the way for future advancements in database management 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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