Doehyeon Lee
About Me
I am a MS student in Information Management Lab at Seoul National University, with a strong interest in studying and exploring generation models in depth.
Research Interests
- AI Safety: Jailbreak methods, AI Guardrail, AI Red-teaming
- Music Generation: Genre Detection, Symbolic Music Generation
News
- [Jan. 2026] One paper about Video Generation Model Jailbreak is accepted to ICLR 2026.
- [May. 2025] One paper about VLM Safety Evaluation is accepted to ICML 2025.
Publications
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ICML 2025
Forty-second International Conference on Machine Learning, 2025 (ICML 2025) -
ICLR 2026
Fourteenth International Conference on Learning Representations, 2026 (ICLR 2026)
Korean Conference Papers
- 이도현, 김이경, 성민재, 박종헌, “데이터 합성 기법을 활용한 음악 장르 분류 모델의 성능 향상 연구”, 대한산업공학회 춘계학술대회, 2025
- 성민재, 김이경, 이도현, 박종헌 “Genre Classification in Beat-aligned Monophonic Vocal Melody using Machine Learning”, 대한산업공학회 춘계학술대회, 2025
- 김이경, 성민재, 이도현, 박종헌, “LLM-Guided Music Tagging for Enhancing Semantic Consistency and Generalization in Tag Classification”, 대한산업공학회 춘계학술대회, 2025
Experience
Educations
- M.S., Industrial Engineering (Information Management Lab), Seoul National University (In Progress)
- B.S., Industrial Engineering, Seoul National University, 2025
Work Experience
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Nanyang Technological University Singapore · Global Connect Fellowship (Feb 2026 – Mar 2026) -
AIM Intelligence · Research Intern (Oct 2024 – Feb 2025) -
NAVER Cloud · Research Assistant (Jul 2024 – Sep 2024) -
Seoul National University MARG (Music and Audio Research Group) · Student Research Intern (Jul 2023 – Aug 2023)
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