Jaemin Jo (조재민)
Associate Professor, Sungkyunkwan University
Research Areas
Human–AI Interaction
- Visual Analytics for and with AI (EMNLP 26 Oral, CHI 26, TVCG 26, EuroVis 26, PacificVis 25)
- General Visualization and HCI (IUI 23, TVCG 23, VIS 22, UIST 22, VIS 20)
High-Dimensional Data Visualization
- Reliability and Stability of Dimensionality Reduction (VIS 25, VIS 21)
- Visualization for Dimensionality Reduction (TVCG 25, TVCG 25, VIS 21)
Progressive Visual Analytics
Academic Positions
Associate Professor, Sungkyunkwan UniversitySep 2024 – Present
Assistant Professor, Sungkyunkwan UniversitySep 2020 – Aug 2024
Education
Ph.D. in Computer Science and Engineering, Seoul National UniversityMar 2014 – Feb 2020
Advisor: Prof. Jinwook Seo
Dissertation: Designing Progressive Visualization Systems for Exploring Large-scale Data
B.S. in Computer Science and Engineering, Seoul National UniversityMar 2009 – Feb 2014
Graduated with honors (Summa Cum Laude)
Selected Publications
Jaeung Lee, Dohyun Kim, and Jaemin Jo,
“Measuring the Depth of LLM Unlearning via Activation Patching,”
Conference on Empirical Methods in Natural Language Processing (EMNLP 2026 Oral, 452 / 17,669 = 2.6%), 2026.
Donghee Hong, Minjong Kim, Sooyoung Cha, and Jaemin Jo,
“Symetra: Visual Analytics for the Parameter Tuning Process of Symbolic Execution Engines,”
Computer Graphics Forum (CGF, Proc. EuroVis 2026, 52 / 195 = 26.7%), e70461, 2026.
Donghee Hong, Bongshin Lee, Jinwook Seo, and Jaemin Jo,
“HyPockeTuner: Bringing Hyperparameter Optimization to Mobile Devices,”
ACM Conference on Human Factors in Computing Systems (CHI 2026, 1,703 / 6,730 = 25.3%), 2026.
Jaeung Lee, Suhyeon Yu, Yurim Jang, Simon S. Woo, and Jaemin Jo,
“Unlearning Comparator: A Visual Analytics System for Comparative Evaluation of Machine Unlearning Methods,”
IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. 32, no. 3, pp. 2852-2867, 2026.
Myeongwon Jung, Takanori Fujiwara, and Jaemin Jo,
“GhostUMAP2: Measuring and Analyzing (r,d)-Stability of UMAP,”
IEEE Transactions on Visualization and Computer Graphics (TVCG, Proc. IEEE VIS 2025, 131 / 537 = 24.4%), vol. 32, no. 1, pp. 353-362, 2025.
Honors & Awards
Best Poster Honorable Mention, IEEE VIS 20262026
for “PyProgressive: A Lightweight Library for Progressive Computations”
SKKU Teaching Award2026
Sungkyunkwan University
Outstanding Dissertation AwardFeb 2020
Department of Computer Science and Engineering, Seoul National University