Seongnam, South Korea

Hyo Eun Kim

This inventor holds 4 USPTO granted patents and 1 published patent application. Top assignee: Lunit Inc.. Active years: 2018-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hyo Eun Kim. Retrieved from https://idiyas.com/inventor/hyo-eun-kim-xirxmgkg

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

USPTO Granted Patents = 4 

% Patents Active = 100.0

Average Co-Inventor Count = 2.4

ph-index = 1

Forward Citations = 6(Granted Patents)


Location History:

  • Seongnam-si, KR (2018 - 2021)
  • Seoul, KR (2022)

Company Filing History:


Years Active: 2018-2025

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4 patents (USPTO):Explore Patents

Title: Innovations by Inventor Hyo Eun Kim

Introduction: Hyo Eun Kim is a distinguished inventor based in Seongnam-si, South Korea. He has made significant contributions to the field of artificial intelligence and machine learning, holding a total of three patents. His work focuses on enhancing neural network performance through innovative techniques.

Latest Patents: Among Hyo Eun Kim's latest patents is the "Apparatus and method for training neural network by performing normalization using a plurality of normalization techniques." This invention provides a method and apparatus designed to improve neural network performance by executing intelligent normalization tailored to specific tasks. The method involves transforming output data into normalized formats using various techniques and generates target normalized data by aggregating these formats based on learnable parameters. This approach optimizes the application of normalization data to enhance overall performance.

Another notable patent he has developed is a "Machine learning method and apparatus based on weakly supervised learning." This technology relies on weakly supervised learning to extract feature maps from datasets using convolutional neural networks (CNN). By back-propagating error values calculated from tasks related to certain information types, the CNN can be updated to optimize performance based on distinct models.

Career Highlights: Currently, Hyo Eun Kim is employed at Lunit Inc., a company recognized for its advancements in healthcare technology through the application of artificial intelligence. His focus on neural networks and machine learning significantly contributes to the company's drive for innovation and improved diagnostic solutions.

Collaborations: Throughout his career, Hyo Eun Kim has collaborated with notable colleagues, including Sang Heum Hwang and Hyeon Seob Nam. These partnerships foster a collaborative environment that enhances their research and development endeavors in the competitive field of technology and AI.

Conclusion: Hyo Eun Kim exemplifies the spirit of innovation through his groundbreaking patents and contributions to machine learning. His work not only advances technology but also sets a benchmark for future developments in the realm of artificial intelligence.

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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