Fremont, CA, United States of America

Fanbin Bu


Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: **Recognizing the Innovations of Inventor Fanbin Bu**

Introduction

Fanbin Bu is an innovative inventor based in Fremont, California. With a focus on machine learning and geographic analysis, he has made significant contributions to understanding talent flow through his patented technology. His work is particularly relevant in today’s competitive landscape where talent mobility can greatly affect industry dynamics.

Latest Patents

Fanbin Bu holds a patent for "Machine learning techniques to predict geographic talent flow." This innovation provides techniques for predicting talent flow to and from geographical regions. By analyzing stored entity profiles, it generates training data that indicates whether entities have relocated. A machine-learned prediction model is then created based on this data, which allows predictions about the movement trends of various entities in relation to specific regions. Ultimately, this technology visualizes talent flow data, empowering organizations to make informed strategic decisions.

Career Highlights

Fanbin Bu is currently associated with Microsoft Technology Licensing, LLC, where he applies his expertise in machine learning and data analysis. His work plays a crucial role in enabling companies to harness insights about talent distribution effectively.

Collaborations

Throughout his career, Fanbin has collaborated with talented professionals such as Chi-Yi Kuan and Shen Huang. These collaborations foster an environment of shared knowledge and innovation, enhancing the potential of their collective research and inventions.

Conclusion

Fanbin Bu exemplifies the innovative spirit essential for addressing the complexities of talent flow in today's evolving job market. His patented techniques not only contribute to academic research but also provide practical solutions for companies navigating the challenges of workforce mobility. Through his work, he continues to influence the direction of machine learning applications in geographic analysis.

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