🙋🏻‍♀️Personal Information

PostDoc  (Advisor: Seungryong Kim & Paul Hongseok Seo)

KAIST & Korea University

Contact

email [email protected] / [email protected]

github https://github.com/sangwon79

💡 Research Interests

• Discrete diffusion models
• Agentic AI (API calling, visual dialog navigator)
• AI Trustworthy (Fairness, AI Alignment)
• Continual Learning

🎓 Education

• Ph.D course [2022.03 ~2025.08] (Advisor : Taesup Moon)
  • Department of Electrical and Computer Engineering, Seoul National University (SNU)
• M.S. [2018.09 ~2022.02] (Advisor : Taesup Moon)
  • Department of Electrical and Computer Engineering, SungKyunKwan University (SKKU)
• B.S. [2012.03 ~ 2018.08]
  • Department of Mathematics / Computer Engineering, SungKyunKwan University (SKKU)

📄 Publications

Preprint

Conference paper

• [C10] Multi-Group Proportional Representation for Text-to-Image Models

  Sangwon Jung, Claudio Verdun, Alex Oesterling, Sajani Vithana, Taesup Moon, Flavio Calmon

  • Computer Vision and Pattern Recognition (CVPR), 2025

• [C9]  Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? – A Theoretical and Empirical Study

  Sangwon Jung,* Sumin Yu, Sanghyuk Chun and Taesup Moon

  • Neural Information Processing Systems (NeurIPS), Dataset and Benchmark Track, 2024