Vincent K. M. Cheung — accepted AI-conference papers

2025

LLaQo: Towards a Query-Based Coach in Expressive Music Performance Assessment

Huan Zhang, Vincent K. M. Cheung, Hayato Nishioka, Simon Dixon, Shinichi Furuya

ICASSP 2025accepted

Research in music understanding has extensively explored composition-level attributes such as key, genre, and instrumentation through advanced representations, leading to cross-modal applications using large language models. However, aspects of musical performance such as stylistic expression and te…

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2023

Decoding Musical Pitch from Human Brain Activity with Automatic Voxel-Wise Whole-Brain FMRI Feature Selection

Vincent K. M. Cheung, Yueh-Po Peng, Jing-Hua Lin, Li Su

ICASSP 2023accepted

Decoding models seek to infer stimulus or task information from neural activity and play a central role in brain-computer interfaces. However, the high spatial resolution of fMRI means that the number of available features far exceeds the number of trials in a typical experiment. Although a common a…

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