Jaeyoung Kim
My research interests lie in the fields of Visual Analytics, Biomedical Informatics, and LLM Agents. My primary focus is on reducing the burden of analyzing and visualizing large-scale, real-world medical data by leveraging LLM agents to assist in the process.
Please visit my linkedin for detailed information. If you have any questions or would like to discuss potential collaborations, please don't hesitate to reach out to me at jykim@hcil.snu.ac.kr.
- PhenoFlow: A Human-LLM Driven Visual Analytics System for Exploring Large and Complex Stroke Datasets [PDF] paper, IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. IEEE VIS 2024)
- Githru: Visual Analytics for Understanding Software Development History Through Git Metadata Analysis [PDF] article, IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. IEEE VIS 2020)
- Can Bullying Detection Systems Help in School Violence Scenarios?: A Teachers’ Perspective [PDF] poster, 2020 ACM CHI Conference on Human Factors in Computing Systems (CHI ’20)
- 건식 뇌파 데이터를 활용한 경도인지장애 진단 인공지능 모델에 관한 연구 [PDF] article, In the Journal of Korean Institute of Next Generation Computing
- 딥러닝/머신러닝 모델을 활용한 뇌파 기반 치매 조기진단에 관한 연구 [PDF] poster, 2022 한국소프트웨어종합학술대회(KSC)
- NEWS2: 기사 군집화 알고리즘을 디버그 하기 위한 시각적 분석 시스템 article, KIISE Transactions on Computing Practices
- MIM 노티피케이션의 인지적 부담 완화를 위한 연구 [PDF] paper, HCI Korea 2020
- NEWS2: 기사 군집화 알고리즘을 디버그 하기 위한 시각적 분석 시스템 poster, 2019 한국컴퓨터종합학술대회
- Wordle을 이용한 뉴스 토픽 시각화 paper, HCI Korea 2018