Beijing, China

Yixin Chai

USPTO Granted Patents = 1 

Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2015

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1 patent (USPTO):

Title: Yixin Chai: Innovator in Hierarchical Relationship Identification

Introduction

Yixin Chai, located in Beijing, China, is a prominent inventor known for his innovative contributions to the field of hierarchical relationship identification. With a keen eye for detail and a focus on the practical applications of technology, Chai has secured one patent, which helps streamline and enhance the process of determining hierarchical relationships among entities.

Latest Patents

Chai's notable patent titled "Systems and methods for identifying hierarchical relationships" encompasses a comprehensive computer-implemented method. This method includes several steps: identifying a candidate parent entity that exhibits indicators of a parental hierarchical relationship, compiling a candidate child entity set, comparing characteristics between entities to ascertain hierarchical links, and updating a hierarchical index accordingly. This innovation significantly contributes to better understanding and analyzing relationships within data sets.

Career Highlights

Yixin Chai is presently affiliated with Google Inc., where he applies his expertise in artificial intelligence and data processing. His work focuses on developing systems that assist in the identification and management of data relationships, which are pivotal for numerous applications in various industries.

Collaborations

While working at Google Inc., Chai collaborates with esteemed professionals in the field, including Yu Wang and Fang Chu. These collaborations foster a dynamic exchange of ideas and innovation, pushing the boundaries of what can be achieved in hierarchical relationship analysis.

Conclusion

Yixin Chai stands out as an influential inventor whose patent reflects his commitment to advancing technology in identifying hierarchical relationships. His work has the potential to make significant impacts across various sectors, demonstrating the importance of innovation in our increasingly data-driven world.

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