Bellevue, WA, United States of America

Yangyang Shi

This inventor holds 1 USPTO granted patent and 5 published patent applications. Top assignee: Meta Platforms, Inc.. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yangyang Shi. Retrieved from https://idiyas.com/inventor/yangyang-shi-lun27czo

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Yangyang Shi: Innovator in Speech Recognition Technology

Introduction

Yangyang Shi is a prominent inventor based in Bellevue, WA (US). He has made significant contributions to the field of speech recognition technology. His innovative work focuses on enhancing the efficiency of machine-learning models for real-time applications.

Latest Patents

Yangyang Shi holds a patent for an "Efficient memory transformer based acoustic model for low latency streaming speech recognition." This invention involves a method that utilizes a machine-learning model to generate encodings for utterances. The process includes accessing contextual embeddings and memory vectors to improve the accuracy and speed of speech recognition.

Career Highlights

Yangyang Shi is currently employed at Meta Platforms, Inc., where he continues to develop cutting-edge technologies. His work is instrumental in advancing the capabilities of speech recognition systems, making them more efficient and responsive.

Collaborations

He collaborates with talented individuals such as Yongqiang Wang and Chunyang Wu, contributing to a dynamic team focused on innovation in technology.

Conclusion

Yangyang Shi's contributions to speech recognition technology exemplify the impact of innovative thinking in the tech industry. His work not only enhances user experience but also sets the stage for future advancements in machine learning applications.

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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