Seoul, South Korea

Yeong Dae Kwon

USPTO Granted Patents = 5 

 

Average Co-Inventor Count = 5.1

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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5 patents (USPTO):Explore Patents

Title: Yeong Dae Kwon: Innovator in Reinforcement Learning and Image Classification

Introduction

Yeong Dae Kwon is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the fields of reinforcement learning and image classification. With a total of 5 patents to his name, Kwon continues to push the boundaries of technology through his innovative ideas.

Latest Patents

Kwon's latest patents include an "Apparatus and method for training reinforcement learning model for use in combinatorial optimization." This invention features a starting point determinator, a multi-explorer, a trajectory evaluator, a baseline calculator, an advantage calculator, and a parameter updater, all designed to enhance the training of reinforcement learning models. Another notable patent is the "Method for training image classification model and apparatus for executing the same." This method involves training a feature extractor and a rotation angle classifier, generating pseudo labels, and training the image classification model to predict labels and rotation angles effectively.

Career Highlights

Yeong Dae Kwon is currently employed at Samsung SDS Co., Ltd., where he applies his expertise in developing advanced technologies. His work has garnered attention for its innovative approach to solving complex problems in machine learning and artificial intelligence.

Collaborations

Kwon collaborates with talented coworkers, including Byoung Jip Kim and Jin Ho Choo, who contribute to his projects and enhance the overall research environment.

Conclusion

Yeong Dae Kwon is a visionary inventor whose work in reinforcement learning and image classification is shaping the future of technology. His contributions are invaluable, and his ongoing research promises to lead to further advancements in these fields.

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