Yeongmin Kim

 

 

MS Candidate

Applied Artificial Intelligence Laboratory

Department of Industrial and Systems Engineering

KAIST, Daejeon, Republic of Korea

Office : KAIST E2-2 No.4116

Contact: alsdudrla10@kaist.ac.kr 

 

 

RESEARCH INTEREST

• Machine Learning
• Deep Generative Models: VAE, Score-based Diffusion Models
• DGM Downstream Task: Controllable Generation, Unsupervised Representation Learning

 

 

WORK EXPERIENCE

• Internship at Shinhan AI in Seoul (Mar. 2020 ~ Aug. 2020)

 

EDUCATION

Korea Advanced Institute of Science and Technology (KAIST), Daejeon, the Republic of Korea (Mar. 2022 ~ )

• Course of Master's Degree in AAILab, ISysE
• Academic Advisor: Professor Il-Chul Moon

     

Korea Advanced Institute of Science and Technology (KAIST), Daejeon, the Republic of Korea (Mar. 2017 ~ Feb. 2022)

• Bachelor of Science in Industrial and Systems Engineering
• Bachelor of Science in Computer Science (Double Major)

 

PUBLICATIONS

 

International

• Kim, Y., Cho, Y., Lee, H., & Moon, I. C. (2021, October). Predict Sequential Credit Card Delinquency with VaDE-Seq2Seq. In 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 1159-1164). IEEE.
• Kim, Y., Kim, D., Lee, H., & Moon, I. C. (2022, December). Unsupervised Controllable Generation with Score-based Diffusion Models: Disentangled Latent Code Guidance. In Neurips 2022 workshops on Score Based Method.

 

AWARDS 

• Dean's list, KAIST, 2019 Fall & 2020 Fall
• 송현상, KAIST ISysE, 2022
• IE frontier 장려상 2019, 2021

 

Lab

Yeongmin Kim is a member of Applied Artificial Intelligence Laboratory. (2022.03 ~)