Taishan, Taiwan

Yung-Feng Lu

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Institute for Information Industry. Active years: 2012.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yung-Feng Lu. Retrieved from https://idiyas.com/inventor/yung-feng-lu

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2012

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1 patent (USPTO):Explore Patents

Title: Yung-Feng Lu: Data Storage Invention

Introduction

Yung-Feng Lu is an inventor associated with Taishan, Taiwan, and the Institute for Information Industry. His work includes an invention addressing how data can be stored efficiently while avoiding duplicate entries.

Latest Patents

Lu is credited with 1 patent: “Apparatus, Method, and Computer Program Product Thereof for Storing a Data and Data Storage System Comprising the Same.” The invention describes an intermediary apparatus and method for storing data in a storage system. It uses index information to locate a storage zone and compares a signature value stored in that zone with the data’s signature. If the data is not already stored there, the system writes it to the zone; otherwise, it ignores the duplicate.

Career Highlights

Lu’s listed patent focuses on data storage and duplicate detection. By using signature values alongside index information, the disclosed approach helps determine whether data is already present before writing it to storage.

Collaborations

Lu’s listed coworkers include Da-Gang Lee and Tei-Wei Kuo.

Conclusion

Yung-Feng Lu’s patent reflects an approach to data storage that checks for existing data before adding another copy, connecting his work with the Institute for Information Industry.

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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