Single and Multi Column Neural Networks for Content-based Music Genre Recognition. - Chang Wook Kim; Jaehun Kim; Kwangsub Kim; Minz Won (MediaEval, 2017)

Towards Seed-Free Music Playlist Generation: Enhancing Collaborative Filtering with Playlist Title Information. - Jaehun Kim; Minz Won; Cynthia C. S. Liem; Alan Hanjalic (RecSys Challenge, 2018)

Transfer Learning of Artist Group Factors to Musical Genre Classification. - Jaehun Kim; Minz Won; Xavier Serra; Cynthia C. S. Liem (WWW (Companion Volume), 2018)

MediaEval 2019: Emotion and Theme Recognition in Music Using Jamendo. - Dmitry Bogdanov; Alastair Porter; Philip Tovstogan; Minz Won (MediaEval, 2019)

Toward Interpretable Music Tagging with Self-Attention. - Minz Won; Sanghyuk Chun; Xavier Serra (CoRR, 2019)

Visualizing and Understanding Self-attention based Music Tagging. - Minz Won; Sanghyuk Chun; Xavier Serra (CoRR, 2019)

Data-Driven Harmonic Filters for Audio Representation Learning. - Minz Won; Sanghyuk Chun; Oriol Nieto; Xavier Serra (ICASSP, 2020)

Mood Classification Using Listening Data. - Filip Korzeniowski; Oriol Nieto; Matthew C. McCallum; Minz Won; Sergio Oramas; Erik M. Schmidt (ISMIR, 2020)

MediaEval 2020: Emotion and Theme Recognition in Music Using Jamendo. - Dmitry Bogdanov; Alastair Porter; Philip Tovstogan; Minz Won (MediaEval, 2020)

Evaluation of CNN-based Automatic Music Tagging Models. - Minz Won; Andres Ferraro; Dmitry Bogdanov; Xavier Serra (CoRR, 2020)

Multimodal Metric Learning for Tag-Based Music Retrieval. - Minz Won; Sergio Oramas; Oriol Nieto; Fabien Gouyon; Xavier Serra (ICASSP, 2021)

SpecTNT: a Time-Frequency Transformer for Music Audio. - Wei Tsung Lu; Ju-Chiang Wang; Minz Won; Keunwoo Choi; Xuchen Song (ISMIR, 2021)

Semi-supervised Music Tagging Transformer. - Minz Won; Keunwoo Choi; Xavier Serra (ISMIR, 2021)

Emotion Embedding Spaces for Matching Music to Stories. - Minz Won; Justin Salamon; Nicholas J. Bryan; Gautham J. Mysore; Xavier Serra (ISMIR, 2021)

Music Classification: Beyond Supervised Learning, Towards Real-world Applications. - Minz Won; Janne Spijkervet; Keunwoo Choi (CoRR, 2021)

Modeling Beats and Downbeats with a Time-Frequency Transformer. - Yun-Ning Hung; Ju-Chiang Wang; Xuchen Song; Wei Tsung Lu; Minz Won (ICASSP, 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)

Representation learning for music classification and retrieval: bridging the gap between natural language and music semantics. - Minz Won (2022)

Textless Speech-to-Music Retrieval Using Emotion Similarity. - Seungheon Doh; Minz Won; Keunwoo Choi; Juhan Nam (ICASSP, 2023)

Toward Universal Text-To-Music Retrieval. - Seungheon Doh; Minz Won; Keunwoo Choi; Juhan Nam (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)

Scaling Up Music Information Retrieval Training with Semi-Supervised Learning. - Yun-Ning Hung; Ju-Chiang Wang; Minz Won; Duc Le (CoRR, 2023)

Mel-Band RoFormer for Music Source Separation. - Ju-Chiang Wang; Wei Tsung Lu; Minz Won (CoRR, 2023)

The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation. - Ilaria Manco; Benno Weck; Seungheon Doh; Minz Won; Yixiao Zhang 002; Dmitry Bogdanov; Yusong Wu; Ke Chen 021; Philip Tovstogan; Emmanouil Benetos; Elio Quinton; György Fazekas; et al. (CoRR, 2023)

A Foundation Model for Music Informatics. - Minz Won; Yun-Ning Hung; Duc Le (ICASSP, 2024)