🙋🏻♀️Personal Information
Ph.D student (Advisor: Taesup Moon)
Machine Intelligence and Data Science Lab (M.IN.D Lab)
Department of Electrical and Computer Engineering
Seoul National University
Contact
email [email protected] / [email protected]
github https://github.com/sangwon79
💡 Research Interests
- AI Trustworthy
- Fairness, AI Alignment
- Model bias / shortcut learning ****
- Reinforcement learning with human feedback
- Continual Learning
🎓 Education
- Ph.D course [2022.03 ~] (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
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[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
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[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
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[C9] Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
Heewoong Choi, Sangwon Jung, Hongjoon Ahn and Taesup Moon
- International Conference on Machine Learning (ICML), 2024
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[C7] Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
Donggyu Lee*, Sangwon Jung* and Taesup Moon