Seoul, South Korea

Yeonjee Jung

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Lg Electronics Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yeonjee Jung. Retrieved from https://idiyas.com/inventor/yeonjee-jung

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 = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Yeonjee Jung: Innovator in Artificial Intelligence

Introduction

Yeonjee Jung is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of artificial intelligence, particularly in the area of item classification and detection.

Latest Patents

Yeonjee Jung holds a patent for an "Artificial intelligence apparatus and method for detecting unseen class items thereof." This innovative technology relates to an artificial intelligence apparatus capable of classifying and detecting items of unseen classes that have high visual similarity to known items. The method involves generating encoded data from input images, decoding this data using a codebook, and classifying unknown items based on the generated decoded data. He has 1 patent to his name.

Career Highlights

Yeonjee Jung is currently employed at LG Electronics Inc., where he continues to develop cutting-edge technologies in artificial intelligence. His work has positioned him as a key player in the advancement of AI applications.

Collaborations

He collaborates with talented coworkers, including Hyoeun Kim and Kamin Lee, who contribute to his innovative projects and research endeavors.

Conclusion

Yeonjee Jung's work in artificial intelligence exemplifies the potential of technology to enhance item detection and classification. His contributions are paving the way for future advancements in the field.

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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