Chicago, IL, United States of America

Xiangnan Kong


Average Co-Inventor Count = 2.4

ph-index = 2

Forward Citations = 6(Granted Patents)


Location History:

  • Chicago, IL (US) (2017 - 2019)
  • Worcester, MA (US) (2019 - 2023)

Company Filing History:


Years Active: 2017-2023

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4 patents (USPTO):

Title: Xiangnan Kong: A Pioneer in Multi-Label Learning Innovations

Introduction

Xiangnan Kong is an accomplished inventor based in Chicago, Illinois, who has contributed significantly to the field of multi-label learning. With a total of four patents to his name, his innovative work focuses on creating systems and methods that enhance the capabilities of machine learning through improved label prediction models.

Latest Patents

Among Xiangnan Kong's notable patents is the innovative "System and method for large-scale multi-label learning using incomplete label assignments." This patent outlines a process where at least one label prediction model is trained using training data that may lack specific label information. The developed model aims to identify a content item’s ground-truth label set, providing an indicator for each label that signifies whether it is applicable to the content item. This functionality is instrumental in refining multi-label learning applications, making them more robust and effective in handling data with incomplete labels.

Career Highlights

Throughout his career, Xiangnan has held pivotal roles at leading tech companies, including Oath Inc. and Yahoo! Inc. His experiences in these high-profile environments have undoubtedly shaped his innovative mindset and contributed to his accomplishments in patent development.

Collaborations

Xiangnan has collaborated with prominent professionals in the field, including Jia Li and Yi Chang. These partnerships have likely facilitated the exchange of ideas and expertise, fostering an atmosphere of innovation and creativity that drives advancements in machine learning technologies.

Conclusion

In conclusion, Xiangnan Kong stands out as a notable figure in the realm of inventions related to machine learning and multi-label systems. His patents reflect a deep understanding of the challenges inherent in label prediction, and his career accomplishments illustrate a commitment to advancing the field through collaboration and innovative thinking. As the landscape of technology continues to evolve, the contributions of inventors like Xiangnan Kong will remain vital in shaping future advancements.

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