Gyeonggi-do, South Korea

Dohee Cho

This inventor holds 1 USPTO granted patent. Top assignees: Hyundai Motor Company, Kia Corporation, Seoul National University. Active years: 2026.


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Dohee Cho: Innovator in Meta-Learning Technologies

Introduction

Dohee Cho is a prominent inventor based in Gyeonggi-do, South Korea. He has made significant contributions to the field of machine learning, particularly in the area of meta-learning. His innovative approach has led to the development of a unique learning method that enhances model training.

Latest Patents

Dohee Cho holds a patent for a "Learning method of model and computer-readable recording medium for storing program for performing the learning method." This method involves training a base learning model and a loss meta-learning model, which serves as a loss function for the base model. Additionally, it includes training a meta-learning model to optimize the parameters of the loss meta-learning model. This patent showcases his expertise in creating advanced learning algorithms.

Career Highlights

Throughout his career, Dohee Cho has worked with notable companies such as Hyundai Motor Company and Kia Corporation. His experience in these leading automotive firms has allowed him to apply his innovative ideas in practical settings, contributing to advancements in technology and engineering.

Collaborations

Dohee Cho has collaborated with Kyoung Mu Lee, a fellow innovator in the field. Their partnership has likely fostered the exchange of ideas and techniques, further enhancing their contributions to machine learning.

Conclusion

Dohee Cho is a key figure in the development of meta-learning technologies, with a patent that reflects his innovative spirit. His work with major companies and collaborations with other inventors highlight his impact on the industry. His contributions continue to shape the future of machine learning.

Profile summary based on public USPTO records.
Please report any incorrect information to [email protected]
Loading…