Junu Kim
I’m Junu Kim, a Ph.D. student at the KAIST Graduate School of AI. My primary interest is in machine learning for healthcare (ML4H). I'm currently under the advisement of Professor Edward Choi.
Contact
Publications
General-Purpose Retrieval-Enhanced Medical Prediction Model Using Near-Infinite History
Junu Kim, Chaeeun Shim, Bosco Seong Kyu Yang, Chami Im, Sung Yoon Lim, Han-Gil Jeong, Edward Choi
Asclepius: Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes
Sunjun Kweon*, Junu Kim*, Jiyoun Kim, Sujeong Im, Eunbyeol Cho, Seongsu Bae, Jungwoo Oh, Gyubok Lee, Jong Hak Moon, Seng Chan You, Seungjin Baek, Chang Hoon Han, Yoon Bin Jung, Yohan Jo, Edward Choi
[Arxiv] [Github] [Huggingface]
Universal EHR Federated Learning Framework
Junu Kim, Kyunghoon Hur, Seongjun Yang, Edward Choi
UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge
Kyunghoon Hur, Jungwoo Oh, Junu Kim, Min Jae Lee, Eunbyeol Cho, Jiyoun Kim, Seong-Eun Moon, Young-Hak Kim, Edward Choi
Projects & Abstracts
Toward general‑purpose ICU predictive model: without task‑specific feature selection and infinite observation windows
Junu Kim, Chaeeun Shim, Edward Choi, Han-Gil Jeong
CAMEL: Clinically Adapted Model Enhanced from LLaMA
Sunjun Kweon*, Junu Kim*, Seongsu Bae**, Eunbyeol Cho**, Sujeong Im**, Jiyoun Kim**, Gyubok Lee**, JongHak Moon**, JeongWoo Oh**, Edward Choi
Services
KoSAIM 2023 Summer School Hands-on Session: Transformer
Education
KAIST Graduate School for AI
MS-Ph.D. Integrated Course, 2022-Current
KAIST Computer Science
BSc Computer Science, 2018-2022