San Jose, CA, United States of America

Wen Ma

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Wen Ma. Retrieved from https://idiyas.com/inventor/wen-ma-5l2u9r7h

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations by Wen Ma in Video Streaming Technology

Introduction

Wen Ma is an accomplished inventor based in San Jose, CA. She has made significant contributions to the field of video streaming technology. Her innovative work focuses on improving the quality of video data through advanced machine learning techniques.

Latest Patents

Wen Ma holds a patent for "Automatic selection of compression artifact removal models." This patent describes systems and techniques for selecting a machine learning model aimed at removing compression artifacts and enhancing the resolution of video streaming data. The system receives a stream of video data, determines its category based on the compression level, selects appropriate weights for the machine learning model, and executes the model to improve the video quality.

Career Highlights

Wen Ma is currently employed at Amazon Technologies, Inc., where she continues to develop innovative solutions in video technology. Her work has garnered attention for its potential to enhance user experiences in video streaming.

Collaborations

Wen collaborates with talented individuals such as Shashwat Verma and John Charles Wright, contributing to a dynamic team focused on cutting-edge technology.

Conclusion

Wen Ma's contributions to video streaming technology through her innovative patent demonstrate her expertise and commitment to enhancing digital experiences. Her work is paving the way for advancements in the 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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