San Jose, CA, United States of America

Fangtao Li


Average Co-Inventor Count = 2.4

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Mountain View, CA (US) (2016)
  • San Jose, CA (US) (2022)

Company Filing History:


Years Active: 2016-2022

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2 patents (USPTO):

Title: Fangtao Li: Innovator in Entity-Attribute Relationships and User Preference Detection

Introduction

Fangtao Li is a notable inventor based in San Jose, CA, who has made significant contributions to the fields of computer science and artificial intelligence. He is currently associated with Google Inc., where he focuses on developing innovative methods and systems that enhance the understanding of entity-attribute relationships and user preferences.

Latest Patents

Fangtao Li holds 2 patents that showcase his expertise in identifying entity attribute relations and detecting deceptive answers to user questions. His first patent involves methods, systems, and apparatus that facilitate identifying entity-attribute relationships in text corpora. This includes generating embeddings for words in sentences that contain the entity and the attribute, as well as determining whether an attribute in a candidate entity-attribute pair is an actual attribute of the entity. The second patent focuses on techniques for detecting deceptive answers based on user preference relationships. This method includes receiving questions and answers, evaluating them, and generating a user preference graph to identify deceptive answers.

Career Highlights

Throughout his career, Fangtao Li has demonstrated a strong commitment to advancing technology through his innovative work. His contributions at Google Inc. have positioned him as a key player in the development of systems that improve user interaction and data processing.

Collaborations

Fangtao has collaborated with talented individuals such as Shuchang Zhou and Dan Iter, further enhancing the impact of his work in the field.

Conclusion

Fangtao Li's innovative patents and contributions to technology reflect his dedication to improving the understanding of complex relationships in data. His work continues to influence advancements in artificial intelligence and user experience.

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