About

About

이용학(YongHak Lee)

ME

I am interested in machine learning and deep learning.
Although I have much to learn, I continuously strive to improve.

EDUCATION

  • Ph.D. Student, Statistics, Konkuk University, Seoul, Present.
  • M.S. Statistics, KonKuk University, Seoul, Feb 2022.
  • B.A. Statistics, KonKuk University, Seoul, Feb 2020.

PUBLICATIONS

[1] Hwang M.,†, Jeong Y., Kim S., Noh T., Jeong S., Jeong H. and Lee Y. (2025) A Two- Stage Diffusion Pipeline for Consistent Front-Back Clothing Generation, Quantitative Bio-Science, *Corresponding author.
[2] Kim J., Lee Y., Yang S., Kim N. and Kim S. (2025) SoulBound Token Recovery Mechanism and the Application of a Customer-Centric Gaurdian System, Journal of the Korea Institute of Information Security & Cryptology.
[3] Jeong Y., Noh T., Lee Y., Lee S., Choi K., Jeong S. and Kim S. (2025) A Mobile LiDAR-Based Deep Learning Approach for Real-Time 3D Body Measurement, Applied Sciences.
[4] Kim J., Lee Y., Yang S. and Kim S. (2024) Implementation of SoulBound Token Using Economical and Efficient Decentralized File Storage Methods, Journal of the Korea Institute of Information Security & Cryptology.
[5] Jeong H., Moon H., Jeong Y., Kwon H., Kim C., Lee Y., Yang S. and Kim S. (2024) Automated Technology for Strawberry Size Measurement and Weight Prediction Using AI, IEEE Access.
[6] Gwak H., Jeong Y., Kim C., Lee Y., Yang S. and Kim S. (2023) A Multi-View Integrated Ensemble for the Background Discrimination of Semi-Supervised Semantic Segmentation, Applied Sciences.
[7] Heo S., Jung S., Kwak H., Jeong Y., Yang S., Lee Y., and Kim S. (2023) Dental Image Data Generation for Instance Segmentation using Generative Adversarial Networks, Quantitative Bio-Science.
[8] Oh J., Lingan P., Lee Y., Yang S. and Kim S. (2022) An Investment Model Based on a Head-And-Shoulder Pattern with Multiple Moving Average Technical Indicators for Future Markets, Quantitative Bio-Science.
[9] Lee Y., Oh J., Yang S. and Kim S. (2022) Integrated Analytic Methodology Using Visual Image and Meta-Data for Product Recommendation, Quantitative Bio-Science.
[10] Kim S., Moon H., Oh J., Lee Y., Kwon H. and Kim S. (2022) Automatic Measurements of Garment Sizes Using Computer Vision Deep Learning Models and Point Cloud Data, Applied Sciences.
[11] Han J., Jo K., Lim W., Lee Y., Ko K., Sim E., Cho J. and Kim S. (2020) Reinforcement Learning Guided by Double Replay Memory, Journal of Sensors.
[12] Jung S., Yang S., Lee E., Lee Y., Ko J., Lee S., Cho J., Lee J. and Kim S. (2020) Estimation of Particulate Levels Using Deep Dehazing Network and Temporal Prior, Journal of Sensors.

PATENTS

[1] Kim S., Lee Y. and Kim J., “Method and Apparatus for Automatic Body Circumference Measurement Using 2D and 3D Data Fusion”, No. 10-2024-0077839, June 2024, Korean Intellectual Property Office, Filled.

RESEARCH EXPERIENCE

  • Graduate Student Researcher, Konkuk University, Department of Applied Statistics,
  • Statistical Artificial Intelligence Lab, Seoul, Korea, Mar 2020 - present.
  • Research Engineer, Mustree, Seoul, Korea, Mar 2022 - present.
  • Research Engineer, Deep Visions, Seoul, Korea, Mar 2020 - Dec 2021.

RESEARCH SUBJECTS

  • Method for Developing an Image-based Mobile Fine Dust Measurement Device Using Raspberry Pi and Camera Modules.
  • Outlier Detection Method Based on Numerical Data Acquired by Gas Pipeline Inspection Robots.
  • Millimeter-level Accurate Object Measurement Method Using Mobile LiDAR Sensorbased Point Cloud Data.
  • Development of a Model and Management System for Monitoring Water Quality Changes in the Han River.