Scholar
Ruibin Yuan
Google Scholar ID: Qd_hX1cAAAAJ
HKUST
Citations & Impact
Citations
2,969
H-index
22
i10-index
31
Publications
20
Co-authors
36
list available
Publications
Resume (English only)
Research Experience
- - Leading music/audio research at the Multimodal Art Projection (MAP) Research Community.
- - Working on YuE, an open and powerful music generation foundation model.
Education
- Earned his Master's degree at Carnegie Mellon University (CMU).
Background
- An AI researcher, developer, and musician on a mission to teach AGI music. Believes that artificial general intelligence should not only appreciate and understand music but also compose it.
Miscellany
- Personal interests include music creation and appreciation.
