I aim to use machine learning to help music creation and performance.
I’m interested in making instruments with higher-level control and making AI co-creation tools for musicians.
education:
- B.S. in Computer Science, National Cheng Kung University
academic work:
- Segment-Factorized Full-Song Generation on Symbolic Piano Music. First author. Presented at NeurIPS 2025 workshop AI4Music.
- Multiband Discrete Hilbert Transform for music tones analysis/manipulation and its VST implementation. Third author. Accepted by AES 2025.