Daejeon, South Korea

Ju-seung Yun

This inventor holds 1 USPTO granted patent. Top assignees: Korea Advanced Institute of Science and Technology, Samsung Electronics Co., Ltd.. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ju-seung Yun. Retrieved from https://idiyas.com/inventor/ju-seung-yun

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Ju-seung Yun: Innovator in Neural Network Learning

Introduction

Ju-seung Yun is a prominent inventor based in Daejeon, South Korea. He has made significant contributions to the field of artificial intelligence, particularly in neural network learning methods. His innovative approach has led to the development of a unique device for recognizing classes of objects within images.

Latest Patents

Ju-seung Yun holds a patent for a "Neural network learning method and device for recognizing class." This patent outlines a neural network training device designed to recognize an object's class based on an artificial intelligence system. The method involves acquiring feature information from a query image, generating an image from this information, and updating the weights of the neural network models based on the differences between the query and generated images.

Career Highlights

Throughout his career, Ju-seung Yun has worked with esteemed organizations such as the Korea Advanced Institute of Science and Technology and Samsung Electronics Co., Ltd. His experience in these institutions has allowed him to refine his skills and contribute to groundbreaking advancements in technology.

Collaborations

Some of his notable coworkers include Jun-mo Kim and Byung-ju Kim. Their collaboration has likely fostered an environment of innovation and creativity, further enhancing the development of their projects.

Conclusion

Ju-seung Yun's work in neural network learning exemplifies the potential of artificial intelligence in recognizing and classifying objects. His contributions continue to influence the field and inspire future innovations.

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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