Seoul, South Korea

Ji Seong Yoon

This inventor holds 3 USPTO granted patents. Top assignee: El Roi Lab Inc.. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ji Seong Yoon. Retrieved from https://idiyas.com/inventor/ji-seong-yoon-3slgfb4g

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

Calculating rank

% Patents Active = 33.3

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025-2026

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3 patents (USPTO):Explore Patents

Title: Ji Seong Yoon: Innovator in Neural Network Training

Introduction

Ji Seong Yoon is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of artificial intelligence, particularly in the training of neural network models. His innovative approach addresses challenges related to input data variations, enhancing the robustness of these models.

Latest Patents

Ji Seong Yoon holds a patent for a method and device for training a neural network model to be robust to changes in brightness of input data. The patent outlines a process that includes converting input data into a red, green, blue (RGB) image, calculating a correction constant based on the generation method of the input data, and training the neural network model using this correction constant. This invention is crucial for improving the performance of neural networks in varying lighting conditions.

Career Highlights

Ji Seong Yoon is currently associated with El Roi Lab Inc., where he continues to develop innovative solutions in the field of artificial intelligence. His work has garnered attention for its practical applications and potential impact on various industries.

Collaborations

He collaborates with talented individuals such as JunGi Lee and Myoung Hwan Kim, contributing to a dynamic and innovative work environment.

Conclusion

Ji Seong Yoon's contributions to neural network training exemplify the importance of innovation in technology. His work not only advances the field of artificial intelligence but also sets a foundation for future developments.

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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