Vincent K.M. Cheung
Scholar

Vincent K.M. Cheung

Google Scholar ID: PWTqdq0AAAAJ
Assoicate Researcher at Sony Computer Science Laboratories, Tokyo
music information retrievalcognitive neuroscience
Citations & Impact
All-time
Citations
663
 
H-index
8
 
i10-index
7
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Selected as one of 200 top young scientists to participate in the 2025 Hong Kong Laureate Forum; several preprints available on inferring trust in automated intelligent systems from neurophysiological data, style-aware violin transcription, and transfer learning for brain decoding from fMRI data; papers accepted at Brain Stimulation, Annals of the New York Academy of Sciences; three late-breaking posters presented at ISMIR 2025; paper on piano performance evaluation using LLMs accepted at ICASSP 2025.
Research Experience
  • Associate Researcher at Sony Computer Science Laboratories, Inc. (SonyCSL); involved in multiple research projects including real-time EEG music preference decoding, style-aware violin transcription, and sound to piano key motion transcription.
Background
  • Associate Researcher at Sony Computer Science Laboratories, Inc. (SonyCSL) in Tokyo, Japan. Works at the interface between human communication and technology, focusing on understanding why people enjoy music and using these insights to build human-centered AI systems.
Miscellany
  • Hobbies and interests not mentioned
Co-authors
0 total
Co-authors: 0 (list not available)