Daeun Kyung

I'm a Ph.D. student at Edlab @ KAIST AI, advised by Prof. Edward Choi. My research interest is multimodal learning and machine learning for healthcare.

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Published Papers

2024

• EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records
  Yeonsu Kwon*, Jiho Kim*, Gyubok Lee, Seongsu Bae, Daeun Kyung, Wonchul Cha, Tom Pollard, Alistair Johnson, Edward Choi
  Proc. of Neural Information Processing Systems (NeurIPS) 2024 Datasets and Benchmarks (Spotlight) [code]
• 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
  Scientific Reports, 14, 23199 (2024)

2023

• 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
  Proc. of Neural Information Processing Systems (NeurIPS) 2023 Datasets and Benchmarks [data] [code]
• Unsupervised Domain Adaptation for 3D Point Clouds by Searched Transformations
  Dongmin Kang, Yeongwoo Nam, Daeun Kyung, Jonghyun Choi
  IEEE Access, Vol. 10, pp. 56901-56913
• 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) [code]

Preprints

• Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records
  Daeun Kyung, Junu Kim, Tackeun Kim, Edward Choi
  arXiv 2024
• DialSim: A Real-Time Simulator for Evaluating Long-Term Dialogue Understanding of Conversational Agents
  Jiho Kim, Woosog Chay, Hyeonji Hwang, Daeun Kyung, Hyunseung Chung, Eunbyeol Cho, Yohan Jo, Edward Choi
  arXiv 2024 [code]

• Best Student Paper Award - ICASSP 2023
  ICASSP 2023 Best Student Paper Awards

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