Mountain View, CA, United States of America

Shaomei Wu

USPTO Granted Patents = 3 

Average Co-Inventor Count = 6.9

ph-index = 2

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2018-2019

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3 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Shaomei Wu

Introduction

Shaomei Wu is a prominent inventor based in Mountain View, CA. She has made significant contributions to technology, particularly in the fields of text correction and image description generation. With a total of 3 patents, her work has garnered attention for its innovative approach to solving real-world problems.

Latest Patents

One of her latest patents focuses on text correction for dyslexic users on an online social network. This method identifies dyslexic users based on the content they post, which may contain word-level or sentence-level errors. A machine-learning model is trained to correct these errors by transforming the text into a vector representation and generating a corrected text string. Another notable patent involves systems and methods for image description generation. This technology utilizes machine learning to identify concepts in images and generate descriptive text based on selected concepts.

Career Highlights

Shaomei Wu is currently employed at Facebook, Inc., where she continues to develop innovative solutions that enhance user experience. Her work is characterized by a strong emphasis on accessibility and usability, particularly for individuals with learning disabilities.

Collaborations

Throughout her career, Shaomei has collaborated with notable colleagues, including Jeffrey C. Wieland and Matt King. These partnerships have contributed to the advancement of her projects and the successful implementation of her inventions.

Conclusion

Shaomei Wu's contributions to technology through her patents demonstrate her commitment to innovation and improving user experiences. Her work not only addresses specific challenges faced by users but also showcases the potential of machine learning in everyday applications.

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