Urbana, IL, United States of America

Xifeng Yan


Average Co-Inventor Count = 2.7

ph-index = 4

Forward Citations = 41(Granted Patents)


Location History:

  • Montrose, NY (US) (2012)
  • Santa Barbara, CA (US) (2012)
  • Urbana, IL (US) (2011 - 2015)

Company Filing History:


Years Active: 2011-2015

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5 patents (USPTO):

Title: Xifeng Yan: Innovator in Structural Data Processing

Introduction

Xifeng Yan is a notable inventor based in Urbana, IL (US), recognized for his contributions to the field of structural data processing. With a total of 5 patents, he has developed innovative techniques that enhance the efficiency of similarity searches and classification of structural data.

Latest Patents

One of Xifeng Yan's latest patents is titled "System and method for efficiently performing similarity searches of structural data." This invention provides techniques for similarity searching by specifying a desired minimum degree of similarity between structural queries and data in a database. The method utilizes indices to exclude structural data that does not meet the specified similarity criteria. Another significant patent is "Structural data classification," which discloses techniques for classifying structural data with skewed distribution. This method involves constructing multiple classifiers based on subsets of training data and computing a consensus among them to assign structural input data to specific classes.

Career Highlights

Throughout his career, Xifeng Yan has worked with prominent organizations, including IBM and the University of Illinois. His experience in these institutions has allowed him to refine his skills and contribute to significant advancements in data processing technologies.

Collaborations

Xifeng has collaborated with notable colleagues, including Wendy Ann Belluomini and Binny Sher Gill, which has further enriched his research and development efforts.

Conclusion

Xifeng Yan's innovative work in structural data processing has made a significant impact in the field. His patents reflect a commitment to advancing technology and improving data classification and similarity searching techniques.

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