Scholar
Ge Zhu
Google Scholar ID: scVX7KMAAAAJ
Adobe Research, Music AI
Citations & Impact
Citations
324
H-index
10
i10-index
11
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Doctoral research focused on applying deep learning methods across audio domains such as sound effects, speech, and music.
Research Experience
- Working as a Research Scientist/Engineer in the music group at Adobe Research, focusing on controllable and efficient music generation.
Education
- - Ph.D. from the AIR lab in the Electrical and Computer Engineering Department at the University of Rochester, supervised by Prof. Zhiyao Duan; - Master's degree in Acoustics from the Physics Department at Nanjing University; - Bachelor's degree in Physics from Kuang Yaming Honors School at Nanjing University.
Background
- Research Interests: Controllable and efficient music generation; Professional Field: Deep generative models for music and audio; About Me: Currently a Research Scientist/Engineer in the music group at Adobe Research, focusing on controllable and efficient music generation.
Co-authors