email: [email protected]
homepage | github | Google Scholar | Linkedin
Education
| 2024.3 ~ present | School of Medicine, Cha University
M.D. expected Feb. 2028 |
| --- | --- |
| 2020.9 ~ 2022.8 | M.Sc. in Graduate School of AI, KAIST
Advisor: Prof. Edward Choi |
| 2013.3 ~ 2020.8 | B.A. in Economics, Seoul National University
GPA: 4.1 / 4.3 (Summa cum laude) |
| 2011.3 ~ 2013.2 | Sejong Science High School
(Early graduation) |
Work Experience
| 2020.9 ~ 2022.8 |
Teaching Assistant, Graduate School of AI, KAIST |
| 2021.8 |
Teaching Assistant, Korean Society of Artificial Intelligence in Medicine (KOSAIM) 2021 Summer School |
| 2020.6 ~ 2020.8 |
Research Intern, Artificial Intelligence Institute at Seoul National University (AIIS) |
Research Interest
- Medical AI
- Self-Supervised Learning
- Text-Image Multimodal Learning
- Diffusion Models
- Efficient Transformers
Publications
( indicates equal contribution)*
- Junwoo Park, Jungsoo Lee, Youngin Cho, Woncheol Shin, Dongmin Kim, Jaegul Choo, Edward Choi, 2023, Deep Imbalanced Time-series Forecasting via Local Discrepancy Density, *of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2023*
- Woncheol Shin, Gyubok Lee, Jiyoung Lee, Eunyi Lyou, Joonseok Lee, Edward Choi, 2023, Exploration into Translation-Equivariant Image Quantization, of International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2023 (Oral Presentation, Top 3% Paper Recognition)
- Se-Ryong Kang, Woncheol Shin, Su Yang, Jo-Eun Kim, Kyung-Hoe Huh, Sam-Sun Lee, Min-Suk Heo, Won-Jin Yi, 2023, Structure-preserving quality improvement of cone beam CT images using contrastive learning, Computers in Biology and Medicine