Beijing, China

Jun Song Wang

USPTO Granted Patents = 34 

Average Co-Inventor Count = 5.7

ph-index = 2

Forward Citations = 17(Granted Patents)


Location History:

  • Beijing, CN (2015 - 2019)
  • Yan Ta Zone, CN (2021)
  • Xian, CN (2020 - 2023)

Company Filing History:


Years Active: 2015-2023

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34 patents (USPTO):

Title: Innovations and Contributions of Jun Song Wang in Machine Learning

Introduction: Jun Song Wang is a prominent inventor based in Beijing, China, with an impressive portfolio of 34 patents. His work primarily focuses on advancements in machine learning, showcasing innovative techniques that enhance the efficiency and security of software upgrades and model performance.

Latest Patents: Among his latest contributions, two patents stand out. The first, “Compatible and secure software upgrades,” describes advanced techniques for managing machine learning libraries. This innovation includes generating a comprehensive table featuring various machine learning libraries, their current versions, and available upgrades, emphasizing both security and compatibility in the upgrade process. The second patent, “Parallelized scoring for ensemble model,” involves a method of utilizing computer-implemented techniques to optimize ensemble models through feature extraction and clustering. This approach significantly enhances the time performance and predictive capabilities of machine learning systems.

Career Highlights: Jun Song Wang's career is marked by his role at International Business Machines Corporation (IBM), where he continues to push the boundaries of machine learning technologies. His dedication to innovation has led to significant advancements in the field, strengthening IBM’s reputation as a leader in technology solutions.

Collaborations: Throughout his career, Jun Song Wang has collaborated with talented individuals such as Jianbin Tang and Qing Fa Wang. Together, they have shared insights and expertise, contributing to the success of various innovative projects and further enhancing the capabilities of machine learning applications.

Conclusion: Jun Song Wang’s contributions to machine learning are influential and far-reaching. With a robust patent portfolio and a commitment to innovation, he continues to shape the future of technology at IBM. His work not only advances machine learning practices but also sets new standards for security and efficiency in software upgrades.

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