Seattle, WA, United States of America

Yong Gang Cao


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):

Title: Innovator Yong Gang Cao: Pioneering Data Clustering Solutions

Introduction

Yong Gang Cao is an accomplished inventor based in Seattle, WA. With a focus on data clustering methodologies, he has significantly contributed to the technology landscape. His patent showcases an innovative approach to handling vast datasets, demonstrating his expertise in the field.

Latest Patents

Cao holds a patent for a "System and Method for Highly Scalable Data Clustering." This patent outlines various embodiments aimed at generating contexts of information from item-level data across multiple items. Each context includes tokens that represent aggregate characteristics of the related items. The method enables comparisons of tokens from different contexts to determine measures of similarity. Subsequently, contexts are grouped into clusters based on these similarities. Furthermore, the invention allows for correction of item-level data based on the interrelations between different contexts, enhancing the integrity of the data.

Career Highlights

Currently, Yong Gang Cao is associated with Amazon Technologies, Inc., where he applies his innovative thinking to enhance technological advancement. His work plays a crucial role in improving data management systems within the company, positioning it at the forefront of cutting-edge technology.

Collaborations

Cao collaborates with esteemed colleagues, including Shashank Gupta and Adam Callahan Sanders. Together, they contribute to groundbreaking projects and foster an environment of innovation and creativity within their team. These collaborations not only enrich their projects but also drive advancements in the field of data science.

Conclusion

Yong Gang Cao is a notable figure in the realm of technology with an impactful patent that addresses the growing need for scalable data clustering solutions. His work with Amazon Technologies, Inc. and collaborations with talented peers underpin his contributions to innovation, setting a standard for future advancements in the industry.

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