Shanghai, China

Hongzhen Liu

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Intel Corporation. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hongzhen Liu. Retrieved from https://idiyas.com/inventor/hongzhen-liu

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations of Hongzhen Liu

Introduction

Hongzhen Liu is a notable inventor based in Shanghai, China. He has made significant contributions to the field of data storage and conversion technologies. His innovative approach has led to the development of a unique patent that addresses the challenges of data format changes.

Latest Patents

Hongzhen Liu holds a patent for "Interleaved data conversion to change data formats." This technology identifies first data and second data to be stored in a data storage system. Both the first and second data are initially in a first data format. The technology interleaves the first data with the second data, resulting in a new data format that differs from the original. This advancement enhances the efficiency of data management and storage.

Career Highlights

Hongzhen Liu is currently employed at Intel Corporation, a leading technology company known for its innovations in computing and data processing. His work at Intel has allowed him to explore and develop cutting-edge technologies that have a significant impact on the industry.

Collaborations

Some of his notable coworkers include Yong Wu and Mohammad R Haghighat. Their collaboration has contributed to the advancement of various projects within the company.

Conclusion

Hongzhen Liu's contributions to data conversion technologies exemplify the spirit of innovation in the tech industry. His patent reflects a deep understanding of data management challenges and offers practical solutions for the future.

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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