IDiyas

For the Inventor, By the Inventor

Kearny, NJ, United States of America

Gang Fu

USPTO Granted Patents = 29 

Average Co-Inventor Count = 5.1

ph-index = 19

Forward Citations = 989(Granted Patents)


Location History:

  • Kearny, NH (US) (2014)
  • Kearny, NY (US) (2016)
  • Kearny, NJ (US) (2012 - 2024)

Company Filing History:

goldMedal29 out of 32,429 
 
Google Inc.
 patents

Years Active: 2012-2024

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29 patents (USPTO):
1. 11972363 - Predictive model importation (2024-04-30),
2. 11093860 - Predictive model importation (2021-08-17),
3. 10515313 - Predictive model evaluation and training based on utility (2019-12-24),
4. 10504024 - Normalization of predictive model scores (2019-12-10),
5. 10157343 - Predictive model importation (2018-12-18),
6. 9406019 - Normalization of predictive model scores (2016-08-02),
7. 9239986 - Assessing accuracy of trained predictive models (2016-01-19),
8. 9070089 - Predictive model importation (2015-06-30),
9. 9020861 - Predictive model application programming interface (2015-04-28),
10. 8909564 - Predictive model evaluation and training based on utility (2014-12-09),
11. 8868472 - Confidence scoring in predictive modeling (2014-10-21),
12. 8843427 - Predictive modeling accuracy (2014-09-23),
13. 8706656 - Multi-label modeling using a plurality of classifiers (2014-04-22),
14. 8694540 - Predictive analytical model selection (2014-04-08),
15. 8626791 - Predictive model caching (2014-01-07),

Title: Innovations and Contributions of Gang Fu in Predictive Modeling

Introduction: Gang Fu, an accomplished inventor based in Kearny, NJ, has made significant strides in the field of predictive modeling with a remarkable total of 29 patents. His innovative ideas and inventions focus on creating methods and systems that utilize predictive models to enhance user experience and system efficiency.

Latest Patents: Among his most recent contributions are two patents titled "Predictive Model Importation." These patents encompass methods, systems, and apparatuses, including computer programs encoded on a computer storage medium. They detail the process of obtaining a diversity of model representations of predictive models, each associated with a respective user and expressing unique predictive capabilities. Furthermore, these inventions outline how to select a model implementation based on various system usage properties related to each user, showcasing an impressive blend of technology and user-centric design.

Career Highlights: Throughout his career at Google Inc., Gang Fu has demonstrated his commitment to innovation and excellence in technology development. His expertise in predictive modeling has positioned him as a key contributor within the organization, where his pioneering work is instrumental in advancing the capabilities of computer systems and applications.

Collaborations: Gang Fu has collaborated with notable peers such as Wei-Hao Lin and Robert Kaplow. Their joint efforts reflect a team-oriented approach to innovation, harnessing diverse talents and insights to enhance predictive model technologies.

Conclusion: Gang Fu’s contribution to the field of predictive modeling through his patents and collaboration efforts underscores his status as a leading inventor. His work continues to influence the landscape of technology and showcases the importance of innovation in shaping user-focused solutions.

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