This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Samsung Sds, Yonsei University. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2026
Title: Ji Hyeon Hyeong: Innovator in Data Augmentation Technology
Introduction
Ji Hyeon Hyeong is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of data augmentation, which is crucial for enhancing machine learning models. His innovative approach has led to the development of a unique patent that addresses the challenges in generating synthetic data.
Latest Patents
Ji Hyeon Hyeong holds a patent for a "Method and apparatus for data augmentation." This invention includes a mode separating unit that generates minor class fake data from a latent vector. Additionally, it features an embedding vector generating unit that creates embedding vectors for major class original data, minor class original data, and the minor class fake data through a metric network. The apparatus also includes an auxiliary classifying unit that classifies the embedding vectors and provides feedback to the mode separating unit. Furthermore, a classifying unit determines the authenticity of input data by analyzing the embedding vectors of both minor class original and fake data.
Career Highlights
Throughout his career, Ji Hyeon Hyeong has worked with notable organizations such as Samsung SDS and Yonsei University. His experience in these institutions has allowed him to refine his skills and contribute to advancements in technology.
Collaborations
Ji Hyeon Hyeong has collaborated with talented individuals in his field, including No Seong Park and Min Jung Kim. These partnerships have fostered innovation and have been instrumental in the development of his patent.
Conclusion
Ji Hyeon Hyeong is a distinguished inventor whose work in data augmentation has the potential to significantly impact the field of machine learning. His innovative patent and collaborations highlight his commitment to advancing technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile