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 (ASRU, 2019)

Untangling indices of emotion in music using neural networks. - Dorien Herremans; Kin Wai Cheuk; Yin-Jyun Luo; Kat Agres (CogSci, 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)

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 (ICPR, 2020)

The Impact of Audio Input Representations on Neural Network based Music Transcription. - Kin Wai Cheuk; Kat Agres; Dorien Herremans (IJCNN, 2020)

Regression-based Music Emotion Prediction using Triplet Neural Networks. - Kin Wai Cheuk; Yin-Jyun Luo; Balamurali B. T.; Gemma Roig; Dorien Herremans (IJCNN, 2020)

Unsupervised Disentanglement of Pitch and Timbre for Isolated Musical Instrument Sounds. - Yin-Jyun Luo; Kin Wai Cheuk; Tomoyasu Nakano; Masataka Goto; Dorien Herremans (ISMIR, 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)

Revisiting the Onsets and Frames Model with Additive Attention. - Kin Wai Cheuk; Yin-Jyun Luo; Emmanouil Benetos; Dorien Herremans (IJCNN, 2021)

ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data. - Kin Wai Cheuk; Dorien Herremans; Li Su 004 (ACM Multimedia, 2021)

Danna-Sep: Unite to separate them all. - Chin-Yun Yu; Kin Wai Cheuk (CoRR, 2021)

Understanding Audio Features via Trainable Basis Functions. - Kwan Yee Heung; Kin Wai Cheuk; Dorien Herremans (CoRR, 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)

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 (ICASSP, 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)

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)

Timbre-Trap: A Low-Resource Framework for Instrument-Agnostic Music Transcription. - Frank Cwitkowitz; Kin Wai Cheuk; Woosung Choi; Marco A. Martínez Ramírez; Keisuke Toyama 002; Wei-Hsiang Liao 001; Yuki Mitsufuji (ICASSP, 2024)

MR-MT3: Memory Retaining Multi-Track Music Transcription to Mitigate Instrument Leakage. - Hao Hao Tan; Kin Wai Cheuk; Taemin Cho; Wei-Hsiang Liao 001; 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 001; Marco A. Martínez Ramírez; Kin Wai Cheuk; Yuki Mitsufuji; Jyh-Shing Roger Jang; Yi-Hsuan Yang (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 002; Koichi Saito; Chieh-Hsin Lai; Yuhta Takida; Wei-Hsiang Liao 001; Simon Dixon; 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 001; Giorgio Fabbro; Yuki Mitsufuji (CoRR, 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 001; Yuki Mitsufuji (CoRR, 2024)

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 001; Yuki Mitsufuji (ICASSP, 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 001; Giorgio Fabbro; Yuki Mitsufuji (ICASSP, 2025)

Music Foundation Model as Generic Booster for Music Downstream Tasks. - Wei-Hsiang Liao 001; Yuhta Takida; Yukara Ikemiya; Zhi Zhong; Chieh-Hsin Lai; Giorgio Fabbro; Kazuki Shimada; Keisuke Toyama 002; Kin Wai Cheuk; Marco A. Martínez Ramírez; Shusuke Takahashi; Stefan Uhlich; et al. (Trans. Mach. Learn. Res., 2025)

SteerMusic: Enhanced Musical Consistency for Zero-shot Text-Guided and Personalized Music Editing. - Xinlei Niu; Kin Wai Cheuk; Jing Zhang 052; Naoki Murata; Chieh-Hsin Lai; Michele Mancusi; Woosung Choi; Giorgio Fabbro; Wei-Hsiang Liao 001; Charles Patrick Martin; Yuki Mitsufuji (CoRR, 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 001; Yuki Mitsufuji (CoRR, 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 001; Woosung Choi; Kin Wai Cheuk; Junghyun Koo; Yuki Mitsufuji (CoRR, 2025)