Hwaseong-si, South Korea

Jaekang Shin


Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Jaekang Shin: Innovator in Incremental Learning Systems

Introduction

Jaekang Shin is a prominent inventor based in Hwaseong-si, South Korea. He has made significant contributions to the field of machine learning, particularly through his innovative patent in incremental learning systems. His work reflects a deep understanding of advanced learning methodologies and their applications.

Latest Patents

Jaekang Shin holds a patent for an "Incremental Learning System with Selective Weight Updates." This patent describes a learning method for an incremental learning model that involves setting a searching range of mask weights based on the distribution of mask weights of a binary mask corresponding to a filter of a pretrained model. The method includes identifying a targeted mask weight within this range, updating it based on the binary mask and the pretrained model, and subsequently updating a portion of the binary mask based on the new targeted mask weight and a preset reference value. This innovative approach enhances the efficiency and effectiveness of incremental learning models.

Career Highlights

Throughout his career, Jaekang Shin has worked with notable organizations, including Samsung Electronics Co., Ltd. and the Korea Advanced Institute of Science and Technology. His experience in these prestigious institutions has allowed him to refine his skills and contribute to groundbreaking advancements in technology.

Collaborations

Jaekang Shin has collaborated with talented individuals such as Donghyuk Kwon and Leesup Kim. These partnerships have fostered a creative environment that has led to the development of innovative solutions in the field of machine learning.

Conclusion

Jaekang Shin's contributions to incremental learning systems exemplify the impact of innovative thinking in technology. His patent and career achievements highlight his role as a key figure in advancing machine learning methodologies.

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