Daejeon, South Korea

Minseon Kim

This inventor holds 1 USPTO granted patent and 5 published patent applications and 1 EPO patent. Top assignee: Korea Advanced Institute of Science and Technology. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Minseon Kim. Retrieved from https://idiyas.com/inventor/minseon-kim

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 

% Patents Active = 100.0

 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Minseon Kim: Inventor in Adversarial Self-Supervised Learning

Introduction

Minseon Kim is an inventor based in Daejeon, South Korea. His patent work concerns machine-learning methods for training an encoder through adversarial self-supervised learning.

Latest Patents

Kim is associated with 1 patent: “Method and Apparatus for Adversarial Self-Supervised Learning Using Target Image, and Computer-Readable Storage Medium Storing Instructions to Perform Method for Adversarial Meta-Learning.”

The disclosed method selects a target image from a previously collected dataset, combines a training image with noise to generate a noise image, and trains an encoder using both the noise image and the original training image.

Career Highlights

The provided career information associates Kim with the Korea Advanced Institute of Science and Technology and LG Energy Solution, Ltd. The available details do not specify his roles or dates at these organizations.

Collaborations

Kim’s listed coworkers include Sooel Son and Sung Ju Hwang. The supplied information does not describe the specific nature of their collaborations.

Conclusion

Minseon Kim’s listed patent focuses on an adversarial self-supervised learning approach that uses target images and noise to train an encoder.

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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