Yookoon Park

Title: Yookoon Park: Innovator in Electronic Apparatus Optimization

Introduction

Yookoon Park is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of electronic apparatuses, particularly in optimizing trained models. His innovative approach has led to the development of a unique patent that addresses key challenges in model training and optimization.

Latest Patents

Yookoon Park holds a patent for an "Electronic apparatus and method for optimizing trained model." This invention includes an electronic apparatus that features a memory storing a trained model with multiple layers. The apparatus is equipped with a processor that initializes a parameter matrix and various split variables of the trained model. It calculates a new parameter matrix with a block-diagonal matrix for the split variables and the trained model to minimize a loss function. This process also incorporates a weight decay regularization term and an objective function that includes a split regularization term defined by the parameter matrix and the split variables. The invention allows for vertical splitting of the layers based on computed split parameters, ultimately reconstructing the trained model using the new parameter matrix.

Career Highlights

Yookoon Park is affiliated with the Korea Advanced Institute of Science and Technology, where he continues to push the boundaries of innovation in electronic apparatuses. His work has garnered attention for its practical applications in optimizing machine learning models, which are crucial in various technological advancements.

Collaborations

Yookoon Park has collaborated with notable colleagues, including Sungju Hwang and Gunhee Kim. Their combined expertise has contributed to the success of their projects and the advancement of their research.

Conclusion

Yookoon Park is a distinguished inventor whose work in optimizing trained models has made a significant impact in the field of electronic apparatuses. His innovative patent reflects his commitment to advancing technology and improving model training processes.