Duvall, WA, United States of America

Yu-Yun Dai


 

Average Co-Inventor Count = 4.3

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021-2023

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3 patents (USPTO):Explore Patents

Title: Innovations of Yu-Yun Dai

Introduction

Yu-Yun Dai is a notable inventor based in Duvall, Washington. He has made significant contributions to the field of optical character recognition and form understanding. With a total of three patents to his name, Dai's work focuses on enhancing the efficiency and accuracy of data extraction from forms.

Latest Patents

One of Yu-Yun Dai's latest patents is titled "Enhanced supervised form understanding." This invention provides interfaces and systems for harvesting ground truth from forms, which can be used to train models based on key-value pairings. The process involves identifying and clustering forms to label them with key-value pairings, allowing for improved identification of related pairings in new forms. Another significant patent is "Supervised OCR training for custom forms." This technology is directed towards optical character recognition for various forms. It includes determining anchors and feature rules for each type of form, generating a training model based on key-value pairs, and enhancing the overall accuracy of OCR processes.

Career Highlights

Yu-Yun Dai is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate in the field of technology. His work has been instrumental in advancing the capabilities of form processing and data extraction.

Collaborations

Dai collaborates with talented individuals such as Dinei Afonso Ferreira Florencio and Cha Zhang, contributing to a dynamic and innovative work environment.

Conclusion

Yu-Yun Dai's contributions to the field of optical character recognition and form understanding demonstrate his commitment to innovation and technology. His patents reflect a deep understanding of the challenges in data extraction and provide solutions that enhance efficiency and accuracy.

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