New City, NY, United States of America

Jun Wang

USPTO Granted Patents = 6 

Average Co-Inventor Count = 2.6

ph-index = 5

Forward Citations = 91(Granted Patents)


Location History:

  • New York, NY (US) (2014)
  • New City, NY (US) (2013 - 2017)

Company Filing History:


Years Active: 2013-2017

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6 patents (USPTO):

Title: Innovations of Inventor Jun Wang

Introduction

Jun Wang is a prominent inventor based in New City, NY (US). He holds a total of 6 patents that showcase his contributions to the fields of image processing and machine learning. His work combines advanced technology with practical applications, making significant strides in multimedia processing.

Latest Patents

One of Jun Wang's latest patents is titled "Rapid image annotation via brain state decoding and visual pattern mining." This invention addresses the limitations of human visual perception and machine vision by combining their strengths. It enhances multimedia labeling, categorization, searching, and navigation, thereby improving existing multimedia processing systems. Another notable patent is "Semi-supervised and unsupervised generation of hash functions." This patent outlines methods and systems for generating hash functions that maximize accuracy and variance measures, utilizing weight vectors and adjusted covariance matrices to improve the efficiency of hash function generation.

Career Highlights

Throughout his career, Jun Wang has worked with notable organizations such as Google Inc. and Columbia University. His experience in these prestigious institutions has allowed him to develop innovative solutions that bridge the gap between theoretical research and practical applications.

Collaborations

Jun Wang has collaborated with esteemed colleagues, including Sanjiv Kumar and Shih-Fu Chang. These partnerships have contributed to the advancement of his research and the successful development of his patents.

Conclusion

Jun Wang's innovative work in image processing and machine learning has led to significant advancements in multimedia technology. His patents reflect a deep understanding of both human and machine capabilities, paving the way for future innovations in the field.

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