Hankyu Moon

Title: Hankyu Moon: Innovator in Object Discovery and Data Efficiency

Introduction

Hankyu Moon is a prominent inventor based in San Ramon, CA (US). He has made significant contributions to the fields of object discovery and data efficiency, holding 3 patents that showcase his innovative approach to solving complex problems in machine learning and artificial intelligence.

Latest Patents

Hankyu Moon's latest patents include groundbreaking work in two key areas. The first patent focuses on "Object discovery using an autoencoder." This invention addresses a problem of supervised learning by utilizing patches to discover objects in unlabeled training images. The discovered objects are embedded in a pattern space, allowing an AI machine to replace manual entry steps of training with a machine-centric process. This process includes clustering in both pixel space and latent space, ultimately building a pattern space based on various losses derived from these clustering methods. The distance structure in the pattern space captures the co-occurrence of patterns, effectively identifying frequent objects such as human faces, bodies, animals, or vehicles from unorganized data images, even with a limited number of training images.

The second patent, titled "Unsupervised representation learning and active learning to improve data efficiency," tackles the issue of imbalanced big data. This invention decouples a classifier into a neural network for generating representation vectors and a classification model that operates on these vectors. The neural network is trained using an unsupervised algorithm, while the classification model employs a supervised active learning loop. This hybrid approach enhances data efficiency and improves the recognition of previously unrecognized images, significantly reducing the labor required to achieve accurate classification performance.

Career Highlights

Hankyu Moon is currently employed at Samsung SDS America, Inc., where he continues to push the boundaries of innovation in technology. His work has garnered attention for its practical applications and effectiveness in addressing real-world challenges in data processing and machine learning.

Collaborations

Hankyu has collaborated with talented coworkers such as Heng Hao and Sima Didari, contributing to a dynamic and innovative work environment.

Conclusion

Hankyu Moon's contributions to the fields of object discovery and data efficiency exemplify the impact of innovative thinking in technology. His patents reflect a commitment to advancing machine learning and artificial intelligence, making significant strides in how we process and understand data.