Plano, TX, United States of America

Jennifer Jiang

This inventor holds 4 USPTO granted patents. Top assignee: Capital One Services, LLC. Active years: 2019-2023.


% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 2

Forward Citations = 59(Granted Patents)


Company Filing History:


Years Active: 2019-2023

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4 patents (USPTO):Explore Patents

Title: Innovations by Jennifer Jiang

Introduction

Jennifer Jiang is an accomplished inventor based in Plano, TX (US). She has made significant contributions to the field of document classification through her innovative patents. With a total of 4 patents, her work showcases her expertise in utilizing machine learning for practical applications.

Latest Patents

One of Jennifer's latest patents is a platform for document classification. This device obtains image data associated with a document. Using a first machine learning model, the device determines, for the document, a first classification of one of a plurality of document types and a first confidence score associated with the first classification. Additionally, it provides a second classification of one of the plurality of document types and a second confidence score based on the image data. The device then determines a difference between the first confidence score and the second confidence score, compares this difference with a threshold value, and accepts the first classification of the document when the difference satisfies the threshold value.

Career Highlights

Jennifer currently works at Capital One Services, LLC, where she continues to develop her innovative ideas. Her work has been instrumental in enhancing the efficiency of document processing and classification.

Collaborations

Some of her notable coworkers include Steven Dang and Douglas Slattery, who contribute to her projects and innovations.

Conclusion

Jennifer Jiang's contributions to document classification through her patents reflect her dedication to innovation and technology. Her work continues to impact the field positively, showcasing the importance of machine learning in practical applications.

Profile summary based on public USPTO records.
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