Hit Song Prediction for Pop Music by Siamese CNN with Ranking Loss. - Lang-Chi Yu; Yi-Hsuan Yang; Yun-Ning Hung; Yi-An Chen (CoRR, 2017)

Frame-level Instrument Recognition by Timbre and Pitch. - Yun-Ning Hung; Yi-Hsuan Yang (ISMIR, 2018)

Learning Disentangled Representations for Timber and Pitch in Music Audio. - Yun-Ning Hung; Yi-An Chen; Yi-Hsuan Yang (CoRR, 2018)

Multitask Learning for Frame-level Instrument Recognition. - Yun-Ning Hung; Yi-An Chen; Yi-Hsuan Yang (ICASSP, 2019)

Musical Composition Style Transfer via Disentangled Timbre Representations. - Yun-Ning Hung; I-Tung Chiang; Yi-An Chen; Yi-Hsuan Yang (IJCAI, 2019)

Score-informed Networks for Music Performance Assessment. - Jiawen Huang; Yun-Ning Hung; Ashis Pati; Siddharth Kumar Gururani; Alexander Lerch 001 (ISMIR, 2020)

Multitask Learning for Instrument Activation Aware Music Source Separation. - Yun-Ning Hung; Alexander Lerch 001 (ISMIR, 2020)

Transcription Is All You Need: Learning To Separate Musical Mixtures With Score As Supervision. - Yun-Ning Hung; Gordon Wichern; Jonathan Le Roux (ICASSP, 2021)

AVASpeech-SMAD: A Strongly Labelled Speech and Music Activity Detection Dataset with Label Co-Occurrence. - Yun-Ning Hung; Karn N. Watcharasupat; Chih-Wei Wu; Iroro Orife; Kelian Li; Pavan Seshadri; Junyoung Lee (CoRR, 2021)

Feature-informed Embedding Space Regularization For Audio Classification. - Yun-Ning Hung; Alexander Lerch 001 (EUSIPCO, 2022)

Modeling Beats and Downbeats with a Time-Frequency Transformer. - Yun-Ning Hung; Ju-Chiang Wang; Xuchen Song; Wei Tsung Lu; Minz Won (ICASSP, 2022)

To Catch A Chorus, Verse, Intro, or Anything Else: Analyzing a Song with Structural Functions. - Ju-Chiang Wang; Yun-Ning Hung; Jordan B. L. Smith (ICASSP, 2022)

Low-Resource Music Genre Classification with Advanced Neural Model Reprogramming. - Yun-Ning Hung; Chao-Han Huck Yang; Pin-Yu Chen; Alexander Lerch 001 (CoRR, 2022)

MuSFA: Improving Music Structural Function Analysis with Partially Labeled Data. - Ju-Chiang Wang; Jordan B. L. Smith; Yun-Ning Hung (CoRR, 2022)

A large TV dataset for speech and music activity detection. - Yun-Ning Hung; Chih-Wei Wu; Iroro Orife; Aaron Hipple; William Wolcott; Alexander Lerch 001 (EURASIP J. Audio Speech Music. Process., 2022)

Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming. - Yun-Ning Hung; Chao-Han Huck Yang; Pin-Yu Chen; Alexander Lerch 001 (ICASSP, 2023)

Multitrack Music Transcription with a Time-Frequency Perceiver. - Wei Tsung Lu; Ju-Chiang Wang; Yun-Ning Hung (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)

Music Source Separation With Band-Split Rope Transformer. - Wei Tsung Lu; Ju-Chiang Wang; Qiuqiang Kong; Yun-Ning Hung (ICASSP, 2024)

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