Yangpu, China

Qiu Ming Zhu

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Qiu Ming Zhu. Retrieved from https://idiyas.com/inventor/qiu-ming-zhu

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Qiu Ming Zhu and Machine-Learning-Based SQL Validation.

Introduction

Qiu Ming Zhu is an inventor associated with Yangpu, China, and International Business Machines Corporation. His listed patent focuses on validating structured query language (SQL) statements with machine learning. The available information identifies him as a man and lists one patent.

Latest Patents

Zhu’s listed patent, “Structured Query Language Statement Validation Based on Machine Learning,” describes a method for checking SQL statements generated from natural-language input. The process can run the generated SQL statement on mock data to produce a first query result, then use a generative machine-learning model with the natural-language input and mock data to produce a second result. It assesses whether the SQL statement is valid by comparing the two results. Zhu is credited with 1 patent in the information provided.

Career Highlights

The supplied information associates Zhu with International Business Machines Corporation and highlights his work on applying generative machine learning to SQL validation. The described approach uses mock data and result comparison to evaluate a generated query.

Collaborations

Qi Liang Zhou is listed as Zhu’s coworker. The available details do not specify their roles or whether they collaborated on the patent.

Conclusion

Qiu Ming Zhu’s listed invention explores a machine-learning-based approach to validating SQL statements generated from natural language, using mock data and query-result comparisons.

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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