Seoul, South Korea

Yong Hye Kwon

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Markany Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yong Hye Kwon. Retrieved from https://idiyas.com/inventor/yong-hye-kwon

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Yong Hye Kwon: Inventor in Artificial Intelligence

Introduction

Yong Hye Kwon is an inventor based in Seoul, South Korea, and is associated with Markany Inc. His work includes an invention focused on image classification using artificial intelligence and vision-language models.

Latest Patents

Kwon is named on one patent: “Image Classification Method and Apparatus Thereof Based on Vision-Language Model Using Decision Graph.” The invention describes a method that uses a prompt and a graph defining the order of image classes to guide classification. It selects graph nodes, reads the corresponding class information, and classifies images, returning a result when it reaches a leaf node. The approach is intended to support efficient use of vision-language models. Kwon is credited with 1 patent.

Career Highlights

Kwon’s listed patent reflects work at the intersection of image recognition, artificial intelligence, and vision-language technology. The disclosed method organizes classification through a decision graph, connecting prompt-derived class information with a structured sequence of decisions.

Collaborations

Kwon’s listed coworkers include Ki Jung Bong and Ji In Nam. The patent information provided identifies Markany Inc. as his company.

Conclusion

Yong Hye Kwon’s patent presents a graph-guided approach to image classification with vision-language models, highlighting his contribution to applied artificial intelligence.

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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