Kin Wai Cheuk

According to our database, Kin Wai Cheuk authored at least 28 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

Concept-TRAK: Understanding how diffusion models learn concepts through concept-level attribution.

Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Naoki Murata, Wei-Hsiang Liao, Woosung Choi, Kin Wai Cheuk, Junghyun Koo, Yuki Mitsufuji

CoRR, July, 2025

Large-Scale Training Data Attribution for Music Generative Models via Unlearning.

Woosung Choi, Junghyun Koo, Kin Wai Cheuk, Joan Serrà, Marco A. Martínez Ramírez, Yukara Ikemiya, Naoki Murata, Yuhta Takida, Wei-Hsiang Liao, Yuki Mitsufuji

CoRR, June, 2025

SteerMusic: Enhanced Musical Consistency for Zero-shot Text-Guided and Personalized Music Editing.

Xinlei Niu, Kin Wai Cheuk, Jing Zhang, Naoki Murata, Chieh-Hsin Lai, Michele Mancusi, Woosung Choi, Giorgio Fabbro, Wei-Hsiang Liao, Charles Patrick Martin, Yuki Mitsufuji

CoRR, April, 2025

Music Foundation Model as Generic Booster for Music Downstream Tasks.

Wei-Hsiang Liao, Yuhta Takida, Yukara Ikemiya, Zhi Zhong, Chieh-Hsin Lai, Giorgio Fabbro, Kazuki Shimada, Keisuke Toyama, Kin Wai Cheuk, Marco A. Martínez Ramírez, Shusuke Takahashi, Stefan Uhlich, Taketo Akama, Woosung Choi, Yuichiro Koyama, Yuki Mitsufuji

Trans. Mach. Learn. Res., 2025

Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer.

Michele Mancusi, Yurii Halychanskyi, Kin Wai Cheuk, Eloi Moliner, Chieh-Hsin Lai, Stefan Uhlich, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Yuki Mitsufuji

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Variable Bitrate Residual Vector Quantization for Audio Coding.

Yunkee Chae, Woosung Choi, Yuhta Takida, Junghyun Koo, Yukara Ikemiya, Zhi Zhong, Kin Wai Cheuk, Marco A. Martínez Ramírez, Kyogu Lee, Wei-Hsiang Liao, Yuki Mitsufuji

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

VRVQ: Variable Bitrate Residual Vector Quantization for Audio Compression.

Yunkee Chae, Woosung Choi, Yuhta Takida, Junghyun Koo, Yukara Ikemiya, Zhi Zhong, Kin Wai Cheuk, Marco A. Martínez Ramírez, Kyogu Lee, Wei-Hsiang Liao, Yuki Mitsufuji

CoRR, 2024

Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer.

Michele Mancusi, Yurii Halychanskyi, Kin Wai Cheuk, Chieh-Hsin Lai, Stefan Uhlich, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Yuki Mitsufuji

CoRR, 2024

DisMix: Disentangling Mixtures of Musical Instruments for Source-level Pitch and Timbre Manipulation.

Yin-Jyun Luo, Kin Wai Cheuk, Woosung Choi, Toshimitsu Uesaka, Keisuke Toyama, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Wei-Hsiang Liao, Simon Dixon, Yuki Mitsufuji

CoRR, 2024

Improving Unsupervised Clean-to-Rendered Guitar Tone Transformation Using GANs and Integrated Unaligned Clean Data.

Yu-Hua Chen, Woosung Choi, Wei-Hsiang Liao, Marco A. Martínez Ramírez, Kin Wai Cheuk, Yuki Mitsufuji, Jyh-Shing Roger Jang, Yi-Hsuan Yang

CoRR, 2024

MR-MT3: Memory Retaining Multi-Track Music Transcription to Mitigate Instrument Leakage.

Hao Hao Tan, Kin Wai Cheuk, Taemin Cho, Wei-Hsiang Liao, Yuki Mitsufuji

CoRR, 2024

Timbre-Trap: A Low-Resource Framework for Instrument-Agnostic Music Transcription.

Frank Cwitkowitz, Kin Wai Cheuk, Woosung Choi, Marco A. Martínez Ramírez, Keisuke Toyama, Wei-Hsiang Liao, Yuki Mitsufuji

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

MERP: A Music Dataset with Emotion Ratings and Raters' Profile Information.

Enyan Koh, Kin Wai Cheuk, Kwan Yee Heung, Kat R. Agres, Dorien Herremans

Sensors, 2023

Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training.

Kin Wai Cheuk, Keunwoo Choi, Qiuqiang Kong, Bochen Li, Minz Won, Ju-Chiang Wang, Yun-Ning Hung, Dorien Herremans

CoRR, 2023

Diffroll: Diffusion-Based Generative Music Transcription with Unsupervised Pretraining Capability.

Kin Wai Cheuk, Ryosuke Sawata, Toshimitsu Uesaka, Naoki Murata, Naoya Takahashi, Shusuke Takahashi, Dorien Herremans, Yuki Mitsufuji

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Jointist: Joint Learning for Multi-instrument Transcription and Its Applications.

Kin Wai Cheuk, Keunwoo Choi, Qiuqiang Kong, Bochen Li, Minz Won, Amy Hung, Ju-Chiang Wang, Dorien Herremans

CoRR, 2022

Understanding Audio Features via Trainable Basis Functions.

Kwan Yee Heung, Kin Wai Cheuk, Dorien Herremans

CoRR, 2022

2021

Danna-Sep: Unite to separate them all.

Chin-Yun Yu, Kin Wai Cheuk

CoRR, 2021

ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data.

Kin Wai Cheuk, Dorien Herremans, Li Su

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Revisiting the Onsets and Frames Model with Additive Attention.

Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos, Dorien Herremans

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

nnAudio: An on-the-Fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks.

Kin Wai Cheuk, Hans Anderson, Kat Agres, Dorien Herremans

IEEE Access, 2020

Unsupervised Disentanglement of Pitch and Timbre for Isolated Musical Instrument Sounds.

Yin-Jyun Luo, Kin Wai Cheuk, Tomoyasu Nakano, Masataka Goto, Dorien Herremans

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Regression-based Music Emotion Prediction using Triplet Neural Networks.

Kin Wai Cheuk, Yin-Jyun Luo, Balamurali B. T., Gemma Roig, Dorien Herremans

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

The Impact of Audio Input Representations on Neural Network based Music Transcription.

Kin Wai Cheuk, Kat Agres, Dorien Herremans

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

The Effect of Spectrogram Reconstruction on Automatic Music Transcription: An Alternative Approach to Improve Transcription Accuracy.

Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos, Dorien Herremans

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolution Neural Networks.

Kin Wai Cheuk, Hans Anderson, Kat Agres, Dorien Herremans

CoRR, 2019

Untangling indices of emotion in music using neural networks.

Dorien Herremans, Kin Wai Cheuk, Yin-Jyun Luo, Kat Agres

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Latent Space Representation for Multi-Target Speaker Detection and Identification with a Sparse Dataset Using Triplet Neural Networks.

Kin Wai Cheuk, Balamurali B. T., Gemma Roig, Dorien Herremans

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019