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For the Inventor, By the Inventor

Palo Alto, CA, United States of America

Weiwei Shen

This inventor holds 3 USPTO granted patents. Top assignee: Sap Se. Active years: 2019-2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Weiwei Shen. Retrieved from https://idiyas.com/inventor/weiwei-shen

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

USPTO Granted Patents = 3

% Patents Active = 100.0

Average Co-Inventor Count = 1.5

ph-index = 2

Forward Citations = 39(Granted Patents)


Location History:

  • Santa Clara, CA (US) (2019)
  • Palo Alto, CA (US) (2019 - 2021)

Company Filing History:

goldMedal3 out of 6,317 
 
Sap Se
 patents

Years Active: 2019-2021

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3 patents (USPTO):Explore Patents
1. 10936642 - Using machine learning to flag gender biased words within free-form text, such as job descriptions (2021-03-02),
2. 10467339 - Using machine learning and natural language processing to replace gender biased words within free-form text (2019-11-05),
3. 10242260 - Using machine learning to flag gender biased words within free-form text, such as job descriptions (2019-03-26),

Title: Weiwei Shen: Innovator in Gender Bias Mitigation

Introduction

Weiwei Shen is an accomplished inventor based in Palo Alto, CA, known for his contributions to the field of machine learning and natural language processing. With a focus on addressing gender bias in language, Shen has developed innovative solutions that enhance the inclusivity of job descriptions and other free-form texts. He holds a total of 3 patents that reflect his commitment to creating technology that promotes equality.

Latest Patents

One of Shen's latest patents involves using machine learning to flag gender-biased words within free-form text, such as job descriptions. This invention includes a graphical user interface (GUI) that receives user input and utilizes a classification engine to categorize words into male-biased, female-biased, or neutral classes. The system flags biased words, allowing users to revise them before posting the updated text online.

Another significant patent focuses on replacing gender-biased words within free-form text using machine learning and natural language processing. This invention classifies words into gender-biased or neutral categories and generates a dictionary of synonyms for biased words. By selecting neutral synonyms, the system aims to promote more inclusive language in various contexts.

Career Highlights

Weiwei Shen is currently employed at SAP SE, where he continues to innovate and develop technologies that address social issues through advanced computational methods. His work not only showcases his technical expertise but also his dedication to fostering a more equitable environment in professional settings.

Collaborations

Shen collaborates with talented individuals in his field, including his coworker Manish Tripathi, who brings valuable insights and perspectives to their projects.

Conclusion

Weiwei Shen's innovative work in machine learning and natural language processing highlights the importance of addressing gender bias in language. His patents serve as a testament to his commitment to creating technology that fosters inclusivity and equality.

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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