Beijing, China

Zeqi Lin

This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zeqi Lin. Retrieved from https://idiyas.com/inventor/zeqi-lin-atko5g0m

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 = 9.0

ph-index = 1


Company Filing History:


Years Active: 2024-2026

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2 patents (USPTO):Explore Patents

Title: Zeqi Lin: Innovator in Machine Learning and Natural Language Processing

Introduction

Zeqi Lin is a prominent inventor based in Beijing, China. He has made significant contributions to the field of machine learning, particularly in natural language processing. His innovative work has led to the development of a patent that enhances the generation of training data for machine learning applications.

Latest Patents

Zeqi Lin holds a patent titled "Generating model training data from a domain specification." This patent focuses on generating training data for machine learning, specifically for natural language processing tasks such as semantic parsing for translation. The process involves creating a formula tree by sampling both a formula grammar and natural language templates. The resulting machine learning training data instance pairs include a formula example and a natural language example. This invention supports various grammar types, including context-free and probabilistic context-free grammars.

Career Highlights

Zeqi Lin is associated with Microsoft Technology Licensing, LLC, where he continues to push the boundaries of technology and innovation. His work in machine learning and natural language processing has positioned him as a key figure in the tech industry.

Collaborations

Zeqi Lin has collaborated with notable colleagues, including Yu Hu and Haiyuan Cao. Their combined expertise contributes to the advancement of machine learning technologies.

Conclusion

Zeqi Lin's contributions to machine learning and natural language processing exemplify the innovative spirit of modern technology. His patent reflects a significant advancement in generating training data, which is crucial for the development of effective machine learning models.

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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