Foster City, CA, United States of America

Yunfei Zhang


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 39(Granted Patents)


Company Filing History:


Years Active: 2008

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1 patent (USPTO):Explore Patents

Title: Innovations of Yunfei Zhang

Introduction

Yunfei Zhang is an accomplished inventor based in Foster City, CA. He has made significant contributions to the field of data analysis and natural language processing. His innovative approach has led to the development of a unique patent that enhances the way data is searched and categorized.

Latest Patents

Yunfei Zhang holds a patent for a "Method and system for searching data based on identified subset of categories and relevance-scored text representation-category combinations." This invention provides a method and system for analyzing natural language text to identify a set of categories of data in a knowledge base. It allows for the selection of a category from the identified set and automatically provides a single category if only one is present. The system also associates each category with a stored text representation of sample natural language text and a score that reflects the relevance of the text representation-category combination. Additionally, it allows for modifying the score based on user feedback.

Career Highlights

Yunfei Zhang is currently employed at Siebel Systems, Inc., where he continues to innovate and contribute to advancements in technology. His work focuses on improving data search methodologies and enhancing user experience through effective categorization.

Collaborations

Yunfei has collaborated with notable colleagues, including Wai Pak and Sia Henry Saputra, who have contributed to his projects and innovations.

Conclusion

Yunfei Zhang's contributions to the field of data analysis and natural language processing exemplify the impact of innovative thinking in technology. His patent reflects a significant advancement in how data can be effectively searched and categorized, showcasing his expertise and dedication to innovation.

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