Redmond, WA, United States of America

Yu Hu

USPTO Granted Patents = 4 

 

Average Co-Inventor Count = 8.2

ph-index = 2

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2020-2025

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4 patents (USPTO):Explore Patents

Title: Innovations by Yu Hu in Natural Language Processing

Introduction

Yu Hu is an accomplished inventor based in Redmond, WA, who has made significant contributions to the field of natural language processing. With a total of four patents to his name, Yu has been instrumental in developing methods that enhance automation through natural language input.

Latest Patents

One of Yu Hu's latest patents focuses on generating automations via natural language processing. This innovation allows computing systems to receive natural language input from users and generate an automation workflow based on that input. The workflow includes steps to build an automation, with fields populated based on the user's input, enabling the automation to be built and deployed effectively. Another notable patent involves generating model training data from a domain specification. This patent describes a method for creating training data for machine learning applications in natural language processing. It involves generating a formula tree based on sampling both a formula grammar and natural language templates, which is then used to create machine learning training data instances.

Career Highlights

Yu Hu works at Microsoft Technology Licensing, LLC, where he continues to innovate and contribute to advancements in technology. His work has been pivotal in bridging the gap between natural language and machine learning, making complex processes more accessible to users.

Collaborations

Yu collaborates with talented individuals such as Haiyuan Cao and Yu Wang, who contribute to the innovative environment at Microsoft. Their combined expertise fosters a culture of creativity and technological advancement.

Conclusion

Yu Hu's work in natural language processing exemplifies the power of innovation in technology. His patents not only enhance automation but also pave the way for future advancements in machine learning.

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