TISMIR 2025
Improving Motif Discovery of Symbolic Polyphonic Music with Motif Note Identification
Wang, Jun-You, Yu-Chia Kuo, Li Su
Proposes an improved motif discovery framework that leverages motif note identification to more
effectively model symbolic polyphonic structures, enhancing analytical precision across varied musical corpora.
DLfM 2025
Universal Musical Instrument Lexicon: A Crowdsourced Platform for Expanding Multilingual
Vocabularies and Enhancing Global Access to Musical Instrument Metadata
Kun Fang, Kyrie Bouressa, Yu-Chia Kuo, Anna de Bakker, Ichiro Fujinaga
Introduces a multilingual, crowdsourced platform integrated with Wikidata to enhance the
accessibility and classification of musical instrument metadata, fostering greater inclusivity in organology and
global music information research.
ICMC 2025
Seascape Serenity: Unveiling the Underwater Soundscape
Yu-Chia Kuo, Sin-Yu Deng, Tak-Cheung Hui
An immersive 49-channel sound installation highlighting the acoustic ecologies of marine
environments through informatics and composition.
NIME 2025
Turntable-Based Electronic Music and Embodied Audience Interaction
Tak-Cheung Hui, Xiaoqiao Li, Yu-Chia Kuo
Explores embodied performance and audience interaction through turntable-based systems in
electronic music settings.
SIGGRAPH Asia 2024
Tale of Tales: Recontextualizing the Sugar Industry's History in Taiwan and Japan through
Interdisciplinary Art
Tak-Cheung Hui, Yu-Chia Kuo
Combines sound, puppetry, and visuals to reinterpret colonial sugar industry histories
through immersive storytelling.
SIGGRAPH 2024
A Concert in a Vanished Church: Contextualizing Peace Island’s Auditory History with Modern
Technology
Tak-Cheung Hui, Yu-Chia Kuo
Revives a lost cultural soundscape using geolocated memory, archival audio, and interactive
storytelling.
ISMIR 2024 (LBD)
S3: A Symbolic Music Dataset for Computational Music Analysis of Symphonies
Zih-Syuan Lin*, Yu-Chia Kuo*, Tzu-Yun Hung, Wei-Yang Lin, Ya-Hsuan Chu, Ting-Kang Wang,
Jing-Heng Huang, Chien Chang,
Christofer Julio, Gloria Hsieh, and Li Su
A large-scale annotated symbolic dataset for studying temporal structure and orchestration in
classical symphonies.
TAAI 2024
A Study on Synthesizing Expressive Violin Performances: Approaches and Comparisons
Hung, Tzu-Yun, Jui-Te Wu, Yu-Chia Kuo, Yo-Wei Hsiao, Ting-Wei Lin, and Li Su
Compares expressive synthesis methods for violin using machine learning and performance
parameterization.