San Jose, CA, United States of America

Xiaoqing Wang

USPTO Granted Patents = 5 

Average Co-Inventor Count = 3.5

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • Bellevue, WA (US) (2019)
  • San Jose, CA (US) (2021 - 2023)

Company Filing History:


Years Active: 2019-2024

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5 patents (USPTO):

Title: The Innovative Mind of Xiaoqing Wang: Pioneering Machine Learning Applications

Introduction: Xiaoqing Wang is a prominent inventor based in San Jose, California, known for his remarkable contributions to the field of machine learning. With a total of five patents to his name, Wang has focused on developing innovative technologies that enhance how entities and their title levels are analyzed within various industries.

Latest Patents: Among his latest inventions is the patent titled "Machine Learning to Infer Title Levels Across Entities." This groundbreaking technology utilizes machine learning to train a model that assigns a seniority score to various title-entity pairs. By projecting titles onto a common axis, Wang's innovation allows for precise comparisons of the career progressions associated with different roles across diverse companies.

Another significant patent of Wang's is "Location Dimension Reduction Using Graph Techniques." This invention outlines a system that generates a graph to illustrate transitions between geographic locations based on feature attribute values. By analyzing these transitions, the technology builds clusters that serve as features for machine learning models, thereby optimizing content selection and delivery strategies.

Career Highlights: Xiaoqing Wang is currently associated with Microsoft Technology Licensing, LLC, where he continues to push the envelope of machine learning and its applications in real-world scenarios. His innovative approach and expertise have positioned him as a key player in advancing technology within the organization and beyond.

Collaborations: Throughout his career, Wang has had the privilege of collaborating with talented individuals, including his coworkers Xiaowen Zhang and Qing Duan, whose collective efforts contribute significantly to the field. These partnerships are instrumental in fostering an environment of creativity and innovation that drives technological progress.

Conclusion: Xiaoqing Wang exemplifies the essence of modern inventorship through his dedicated work in machine learning technologies. His patented innovations not only showcase his ingenuity but also highlight the profound impact that inventors can make on various industries. As he continues to develop groundbreaking solutions, the future of technology appears bright with visionaries like Wang leading the charge.

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