Seoul, South Korea

Jae-Young Yang

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Samsung Sds Co., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jae-Young Yang. Retrieved from https://idiyas.com/inventor/jae-young-yang-x4k2dzpp

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 = 9.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Jae-Young Yang: Innovator in Knowledge Distillation

Introduction

Jae-Young Yang is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of artificial intelligence, particularly in knowledge distillation methods. His innovative approach has garnered attention in the tech community.

Latest Patents

Jae-Young Yang holds a patent for a "Knowledge distillation method based on regression task and computing device for executing the method." This patent outlines a process that includes training a first deep neural network model, constructing a second deep neural network model, and performing knowledge distillation operations to enhance the efficiency of machine learning models.

Career Highlights

Yang is currently employed at Samsung SDS Co., Ltd., where he applies his expertise in deep learning and neural networks. His work focuses on developing advanced computing solutions that leverage artificial intelligence to improve performance and accuracy.

Collaborations

Some of his notable coworkers include JoonHo Lee and Dae-Yeol Shim, who collaborate with him on various projects within the company.

Conclusion

Jae-Young Yang's contributions to knowledge distillation and deep learning exemplify the innovative spirit of modern technology. His work continues to influence advancements in artificial intelligence and machine learning.

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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