Hwaseong, South Korea

Hyohyeong Kang

This inventor holds 4 USPTO granted patents and 2 published patent applications. Top assignee: Samsung Electronics Co., Ltd.. Active years: 2020-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hyohyeong Kang. Retrieved from https://idiyas.com/inventor/hyohyeong-kang

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

USPTO Granted Patents = 4 

% Patents Active = 100.0

Average Co-Inventor Count = 3.7

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2020-2023

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4 patents (USPTO):Explore Patents

Title: Hyohyeong Kang: Innovator in Model Training Technologies

Introduction

Hyohyeong Kang is a prominent inventor based in Hwaseong-si, South Korea. He has made significant contributions to the field of model training methods and apparatuses. With a total of 4 patents to his name, Kang is recognized for his innovative approaches in technology.

Latest Patents

Kang's latest patents include a model training method and apparatus that focuses on acquiring recognition results from both a teacher model and a student model for an input sequence. This method trains the student model to ensure that the recognition results of both models are indistinguishable from each other. This innovative approach enhances the efficiency and accuracy of model training processes.

Career Highlights

Hyohyeong Kang is currently employed at Samsung Electronics Co., Ltd., where he continues to develop cutting-edge technologies. His work at Samsung has positioned him as a key player in advancing model training methodologies.

Collaborations

Kang collaborates with talented individuals such as Hogyeong Kim and Hwidong Na, contributing to a dynamic and innovative work environment.

Conclusion

Hyohyeong Kang's contributions to model training technologies reflect his dedication to innovation and excellence in the field. His work continues to influence advancements in technology and model training methodologies.

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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