Bothell, WA, United States of America

Chi Yang

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2022.


% Patents Active = 100.0


Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Chi Yang - Innovator in Distributed Data Processing

Introduction

Chi Yang is a notable inventor based in Bothell, WA (US). He has made significant contributions to the field of data processing, particularly in the area of distributed histogram computation. His innovative approach has the potential to enhance the efficiency of data analysis in various applications.

Latest Patents

Chi Yang holds a patent for a "Distributed histogram computation framework using data stream sketches and samples." This invention outlines methods for distributed histogram computation that utilize data stream sketches and samples. The framework allows for the scanning and processing of large data sets without sorting, enabling the generation of local sketches and value samples for each distribution. These local sketches are then used to construct local histograms, which facilitate cardinality estimates for query plan generation against distributions. Furthermore, the global histogram created from merged local statistics serves as a representative of the entire data set, optimizing query plan generation for incoming queries.

Career Highlights

Chi Yang is currently associated with Microsoft Technology Licensing, LLC, where he applies his expertise in data processing and innovation. His work focuses on developing advanced methodologies that improve data handling and analysis.

Collaborations

Chi Yang collaborates with talented professionals in his field, including Sumeet Priyadarshee Dash and Arnd Christian König. Their combined efforts contribute to the advancement of technology and innovation in data processing.

Conclusion

Chi Yang's contributions to distributed data processing through his innovative patent demonstrate his commitment to enhancing data analysis methodologies. His work continues to influence the field and pave the way for future advancements.

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