Redmond, WA, United States of America

Yupeng Gao

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Disney Enterprises, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yupeng Gao. Retrieved from https://idiyas.com/inventor/yupeng-gao-545dgq2u

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Yupeng Gao

Introduction

Yupeng Gao is a notable inventor based in Redmond, WA (US). He has made significant contributions to the field of machine learning, particularly in content evaluation. His innovative work has led to the development of a unique patent that enhances the way media content is assessed and interacted with.

Latest Patents

Yupeng Gao holds a patent titled "Multimodal machine learning model for content evaluation." This invention provides improved machine learning capabilities by receiving requests for supplemental content associated with media items. It determines a set of candidate supplemental content items and generates interaction scores based on user and media embeddings. The model selects the most relevant supplemental content item based on these scores, showcasing a sophisticated approach to content evaluation. He has 1 patent to his name.

Career Highlights

Yupeng Gao is currently employed at Disney Enterprises, Inc., where he continues to innovate and contribute to advancements in technology. His work at Disney reflects his commitment to enhancing user experiences through cutting-edge machine learning techniques.

Collaborations

Yupeng has collaborated with talented individuals such as Pengfei Gao and Yan Zhang. These partnerships have likely enriched his work and contributed to the success of his projects.

Conclusion

Yupeng Gao's contributions to machine learning and content evaluation demonstrate his innovative spirit and dedication to advancing technology. His patent reflects a significant step forward in how media content is evaluated and interacted with, marking him as a key figure in his field.

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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