Woodinville, WA, United States of America

Yi Liu

USPTO Granted Patents = 1 

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Yi Liu - Innovator in Machine Learning Data Generation

Introduction

Yi Liu is a prominent inventor based in Woodinville, WA (US). He has made significant contributions to the field of machine learning, particularly in generating training data for natural language processing. His innovative approach has the potential to enhance the efficiency and accuracy of machine learning models.

Latest Patents

Yi Liu holds a patent titled "Generating model training data from a domain specification." This patent describes a method for generating training data for machine learning applications, specifically for natural language processing tasks such as semantic parsing. The process involves creating a formula tree by sampling from both a formula grammar and natural language templates. This formula tree is then used to generate a machine learning training data instance pair, which includes a formula example and a natural language example. The training data can be utilized to train machine learning models that produce machine-interpretable formulas, database querying language commands, or general programming language instructions. His work supports various grammar types, including context-free grammar and probabilistic context-free grammar.

Career Highlights

Yi Liu is currently associated with Microsoft Technology Licensing, LLC, where he continues to innovate in the field of machine learning. His expertise in generating training data has positioned him as a valuable asset in the tech industry.

Collaborations

He collaborates with talented individuals such as Zeqi Lin and Yu Hu, contributing to advancements in their respective fields.

Conclusion

Yi Liu's contributions to machine learning and natural language processing through his innovative patent demonstrate his commitment to advancing technology. His work is paving the way for more effective machine learning applications in various domains.

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