I'm a Ph.D. student in the Graduate School of AI at Korea Advanced Institute of Science and Technology (KAIST), advised by Prof. Edward Choi.  My research interest is multimodal learning and machine learning for healthcare. 

Publications

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images
Seongsu Bae*, Daeun Kyung*, Jaehee Ryu, Eunbyeol Cho, Gyubok Lee, Sunjun Kweon, Jungwoo Oh, Lei Ji, Eric I-Chao Chang, Tackeun Kim, Edward Choi
NeurIPS 2023 Datasets and Benchmarks 

Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rays
Daeun Kyung*, Kyungmin Jo*, Jaegul Choo, Joonseok Lee, Edward Choi
ICASSP, 2023 (Oral Presentation, Best Student Paper Award)

Significantly Improving Zero-Shot X-ray Pathology Classification via Fine-tuning Pre-trained Image-Text Encoders
Jongseong Jang*, Daeun Kyung*, Seung Hwan Kim, Honglak Lee, Kyunghoon Bae, Edward Choi
Arxiv, 2023

Unsupervised Domain Adaptation for 3D Point Clouds by Searched Transformations
Dongmin Kang, Yeongwoo Nam, Daeun Kyung, Jonghyun Choi
IEEE Access, 2022

Research Experiences

Research Intern at LG AI Research                                                           Oct. 2022 ~ Apr. 2023

Research Intern at GIST Computer Vision Lab                                       Jan. 2020 ~ Aug. 2021
Advisor: Prof. Jonghyun Choi 

Education

• Korea Advanced Institute of Science and Technology (KAIST)             Aug. 2021 ~ Present
  Ph.D. in Artificial Intelligence
  Advisor: Edward Choi 

• Gwangju Institute of Science and Technology (GIST)                         Mar. 2017 ~ Aug. 2021
  B.S. in Electrical Engineering and Computer Science