Sung Min Kim

Title: Innovations of Sung Min Kim

Introduction

Sung Min Kim is a notable inventor based in Seongnam-si, South Korea. He has made significant contributions to the field of deep learning and document similarity measurement. With a total of 4 patents to his name, Kim's work is at the forefront of technological advancements in artificial intelligence.

Latest Patents

One of his latest patents is titled "Methods and systems for transfer learning of deep learning model based on document similarity learning." This patent discloses a method and system for transfer learning that includes pre-training a similarity model to output a similarity between documents. The process involves generating a fine-tuning model and training it to output a score for a document input. Another significant patent is "Methods and systems for detecting duplicate document using document similarity measuring model based on deep learning." This invention outlines a method for extracting similar and dissimilar document pair sets from a database, calculating mathematical and semantic similarities, and training a similarity model to detect duplicate documents.

Career Highlights

Sung Min Kim is currently employed at Naver Corporation, a leading technology company in South Korea. His work at Naver focuses on enhancing document processing and similarity detection through innovative deep learning techniques.

Collaborations

Kim collaborates with talented coworkers, including Byeonghoon Han and Kyoungho Choi, who contribute to his research and development efforts.

Conclusion

Sung Min Kim's contributions to the field of deep learning and document similarity are noteworthy. His innovative patents reflect his expertise and commitment to advancing technology.