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 and Han-Gil Jeong.

Spotlights

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

[Arxiv (MLHC 2024)] [Github]

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We propose REMed, the first retrieval-based model for medical prediction tasks, which reduces the need for domain experts in the development process.

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

[ACL 2024 Findings] [Github] [Huggingface]

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We introduce the first publicly sharable clinical large language model, Asclepius.

Publications

  • Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records [Arxiv]
    Daeun Kyung, Junu Kim, Tackeun Kim, Edward Choi
  • EHRFL: Federated Learning Framework for Heterogeneous EHRs and Precision-guided Selection of Participating Clients [Arxiv (ML4H 2024 Findings)] [Github]
    Jiyoun Kim,
    Junu Kim, Kyunghoon Hur, Edward Choi
  • GenHPF: Universal Healthcare Predictive Framework with Zero Domain Knowledge [JBHI] [Arxiv]
    Kyunghoon Hur, Jungwoo Oh, Junu Kim, Jiyoun Kim, Min Jae Lee, Eunbyeol Cho, Seong-Eun Moon, Young-Hak Kim, Louis Atallah, Edward Choi

Projects & Abstracts

  • Toward general‑purpose ICU predictive model: without task‑specific feature selection and infinite observation windows [ESICM LIVES 2023 Abstract]
    Junu Kim, Chaeeun Shim, Edward Choi, Han-Gil Jeong
  • CAMEL: Clinically Adapted Model Enhanced from LLaMA [Blog] [Github] [Demo]
    Sunjun Kweon*,Junu Kim*, Seongsu Bae**, Eunbyeol Cho**, Sujeong Im**, Jiyoun Kim**, Gyubok Lee**, JongHak Moon**, JeongWoo Oh**, Edward Choi

Services

Reviewer

  • ARR 2024 April
  • ARR 2024 June

Sessions

  • Korean Digital Convergent Neurosurgery Research Society (KDCNRS) Symposium
  • Seoul AI Hub AI+Healthcare Tutorial Session [Link]
  • KOSMI 2024 Winter School - Make your own LLM [Github]
  • KoSAIM 2023 Summer School Hands-on Session: Transformer [Github]
  • KoSAIM RGEMM (생성모델연구회) Seminar [Link]

Education

KAIST Graduate School for AI

MS-Ph.D. Integrated Course, 2022-Current

KAIST Computer Science

BSc Computer Science, 2018-2022