Cupertino, CA, United States of America

Dao-Chen Zheng


Average Co-Inventor Count = 2.9

ph-index = 1

Forward Citations = 81(Granted Patents)


Company Filing History:


Years Active: 2001-2025

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5 patents (USPTO):Explore Patents

Title: Innovations of Dao-Chen Zheng

Introduction

Dao-Chen Zheng is a notable inventor based in Cupertino, California. He has made significant contributions to the field of technology, particularly in data categorization and storage. With a total of five patents to his name, Zheng's work has had a considerable impact on how data is managed and utilized in various applications.

Latest Patents

Zheng's latest patents include innovative methods for communicating URL categorization information. One of his patents describes a process where a URL categorization query is received, which includes at least one URL. This URL is then used to determine a set of data distribution keys. A distributed key-value data store is queried using these keys, and categorization information is returned, which can be used to enforce policies. Another patent focuses on key-value storage for URL categorization. In this patent, a URL and its associated categorization are received, and operations are performed on a database using a determined key. These operations can include inserting, changing, or removing key-value pairs in the database.

Career Highlights

Throughout his career, Dao-Chen Zheng has worked with prominent companies such as Palo Alto Networks, Inc. and Network Associates, Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology.

Collaborations

Zheng has collaborated with notable individuals in the industry, including Wei Cao and William Redington Hewlett, II. These collaborations have further enriched his work and expanded the scope of his inventions.

Conclusion

Dao-Chen Zheng's contributions to technology through his patents and collaborations highlight his role as an influential inventor. His work continues to shape the landscape of data management and categorization.

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