Music AI Researcher 🎶
Haesun Joung
- Interested in music representation through deep learning for
music auto-tagging & captioning,music analysis,audio reasoning, andAI-assisted co-creationwith a human-in-the-loop focus.
Education
Ph.D. in Intelligence and Information@ Seoul National University
2023. 09 - Recent
Music Captioning via Reinforcement Learning, Musical Instrument/Timbre Retrieval, Music HCI, Music Perception & Cognition
M.S. in Intelligence and Information@ Seoul National University
2021. 09 - 2023. 08
Thesis: Music Auto-tagging in Multimedia Content using Robust Music Representation Learned via Domain Adversarial Training
B.S. in Musicology and Computer Science & Engineering@ Seoul National University
2016. 03 - 2021. 08
Kaywon Arts High School
2013. 03 - 2016. 02
Major in Classical Music Composition
Work Experience
Research Intern @ SonyCSL
2025. 05 - 2025. 07
Perceptual and Multi-dimensional Music Similarity-Based Retrieval
Research Intern @ NAVER VIBE AI
2025. 01 - 2025. 02
Music genre auto-tagging for tag noise reduction
Publications
Teaching Experience
Machine Listening (SNU M2680.002400)
Teaching Assistant2024. 09 - 2024. 12
Professional Societies
Academic Paper Reviewer
- International Computer Music Conference (ICMC 2025)
Membership
- Cognitive Science Society (CSS)
- IEEE Signal Processing Society (IEEE SPS)
- International Speech Communication Association (ISCA)
Additional Skills
Programming
- Python (PyTorch, Numpy & Pandas, Librosa)
- C, C++, Java, Javascript
Music
- Classical Music Composition, Musicology, Piano
Language
- Korean: Native
- English: Professional
Interests
- Acoustic, Classical, Electric and Bass Guitar Player
- Acapella Singer