Mountain View, CA, United States of America

Kaihui Zheng


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Kaihui Zheng in Database Performance Prediction

Introduction

Kaihui Zheng is an accomplished inventor based in Mountain View, CA. He has made significant contributions to the field of database systems, particularly in the area of query performance prediction. His innovative approach utilizes machine learning to enhance the efficiency of database operations.

Latest Patents

One of Kaihui Zheng's notable patents is titled "Query performance prediction using multiple experts." This patent focuses on predicting future workloads for database systems by analyzing the queries submitted for execution. The invention involves determining a feature vector for a query based on its query plan. If the feature vector is new or insufficiently seen by the database system, machine learning inference is employed to predict the performance characteristics of the query. Conversely, if the feature vector has been adequately seen, historical performance data is utilized for predictions. These predictions can then be used to configure or reconfigure processing clusters within the database system.

Career Highlights

Kaihui Zheng is currently associated with Amazon Technologies, Inc., where he applies his expertise in database performance optimization. His work has been instrumental in advancing the capabilities of database systems, making them more responsive and efficient.

Collaborations

Throughout his career, Kaihui Zheng has collaborated with talented professionals such as Zhengchun Liu and Gaurav Saxena. These collaborations have fostered a productive environment for innovation and development in the field of database technology.

Conclusion

Kaihui Zheng's contributions to query performance prediction represent a significant advancement in database technology. His innovative patent and collaborative efforts continue to shape the future of database systems, enhancing their performance and reliability.

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