Palo Alto, CA, United States of America

Richard H Zhou

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Richard H Zhou. Retrieved from https://idiyas.com/inventor/richard-h-zhou

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Richard H Zhou

Introduction

Richard H Zhou is a notable inventor based in Palo Alto, California. He has made significant contributions to the field of data processing and machine learning. His work focuses on enhancing the efficiency of data analysis through innovative methodologies.

Latest Patents

Richard H Zhou holds a patent titled "Recommending exemplars of an unlabeled data-set." This invention involves embodiments for recommending exemplars of a data-set by a processor. A selected number of exemplars may be labeled from one or more classes in a data-set. One or more class exemplars for each of the one or more classes in the data-set may be recommended according to similarities between the selected number of labeled exemplars and remaining data of the data-set. He has 1 patent to his name.

Career Highlights

Richard is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to advancements in data processing.

Collaborations

Richard has collaborated with talented individuals such as Shrihari Vasudevan and Joydeep Mondal. These collaborations have fostered a creative environment that encourages innovation and the development of new ideas.

Conclusion

Richard H Zhou's contributions to the field of data processing exemplify the spirit of innovation. His patent and work at IBM highlight his commitment to advancing technology and improving data analysis methodologies.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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