Hangzhou, China

Kai Zeng

This inventor holds 1 USPTO granted patent and 6 published patent applications. Top assignee: Huawei Cloud Computing Technologies. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kai Zeng. Retrieved from https://idiyas.com/inventor/kai-zeng-suggqw24

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Kai Zeng in Data Processing

Introduction

Kai Zeng is an accomplished inventor based in Hangzhou, China. He has made significant contributions to the field of data processing, particularly through his innovative patent related to data warehouse systems. His work is instrumental in enhancing data reliability and system performance.

Latest Patents

Kai Zeng holds a patent for a "Data warehouse system-based data processing method and data warehouse system." This patent describes a data processing method applied to a data warehouse system, where a coordinator node allocates a data write request to a computing node. The method ensures that the target data meets specific constraint conditions before being written into the data table. This two-layer indexing mechanism enhances data reliability while maintaining system performance.

Career Highlights

Kai Zeng is currently employed at Huawei Cloud Computing Technologies, where he continues to innovate in the field of cloud computing and data processing. His expertise and contributions have positioned him as a key figure in his organization.

Collaborations

Kai has collaborated with notable colleagues, including Congli Gao and Liang Li, who share his commitment to advancing technology in data processing.

Conclusion

Kai Zeng's innovative work in data processing exemplifies the importance of reliable data management in modern technology. His contributions continue to influence the field and enhance the capabilities of data warehouse 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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