Seoul, South Korea

Chris Dongjoo Kim

This inventor holds 1 USPTO granted patent. Top assignees: Samsung Electronics Co., Ltd., Snu Rdb Foundation. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chris Dongjoo Kim. Retrieved from https://idiyas.com/inventor/chris-dongjoo-kim

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


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Chris Dongjoo Kim: Innovator in Neural Network Learning

Introduction

Chris Dongjoo Kim is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of neural networks, particularly through his innovative patent. His work focuses on enhancing the efficiency of online learning in neural networks.

Latest Patents

Chris Dongjoo Kim holds a patent titled "Method and device with reservoir management for neural network online learning." This patent describes a reservoir management method that includes determining whether to add input data to a reservoir based on a sampling probability. When the reservoir is filled, the method involves selecting candidate data to be removed based on target and current label distributions, followed by training a neural network model using the remaining sample data.

Career Highlights

Throughout his career, Chris has worked with notable companies, including Samsung Electronics Co., Ltd. and Snur & Db Foundation. His experience in these organizations has allowed him to develop and refine his innovative ideas in technology and artificial intelligence.

Collaborations

Chris has collaborated with talented individuals such as Seonmin Rhee and Gunhee Kim. These partnerships have contributed to his success and the advancement of his projects.

Conclusion

Chris Dongjoo Kim is a remarkable inventor whose work in neural network online learning has the potential to influence the future of artificial intelligence. His innovative approach to reservoir management showcases his dedication to advancing technology.

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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