Ching-Yu Chiu, Lele Liu, Christof Weiß and Meinard Müller, “Cross-modal approaches to beat tracking: A case study on Chopin Mazurkas,” Transactions of the International Society for Music Information Retrieval (TISMIR), 8(1):55–69, 2025.
Adrien Ycart, Lele Liu, Emmanouil Benetos and Marcus T. Pearce. “Investigating the perceptual validity of evaluation metrics for automatic piano music transcription,” Transactions of the International Society for Music Information Retrieval (TISMIR), 3(1):68-81, 2020.
Lele Liu and Christof Weiß, “Unsupervised domain adaptation for music transcription: Exploiting cross-version consistency,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025.
Lele Liu and Christof Weiß, “Utilizing cross-version consistency for domain adaptation: A case study on music audio,” in Tiny Papers Track at International Conference on Learning Representations (Tiny Papers @ ICLR 2024), May 2024. Notable (oral)
Lele Liu, Qiuqiang Kong, Veronica Morfi and Emmanouil Benetos, “Performance MIDI-to-score conversion by neural beat tracking,” in proceedings of the International Society for Music Information Retrieval (ISMIR) Conference, Bengaluru, India, Dec 2022. Best paper award
Lele Liu, Veronica Morfi and Emmanouil Benetos, “ACPAS: A Dataset of aligned classical piano audio and scores for audio-to-score transcription,” in International Society for Music Information Retrieval Conference Late-Breaking Demos Session (ISMIR-LBD), Nov 2021.
Lele Liu, Veronica Morfi and Emmanouil Benetos, “Joint multi-pitch detection and score transcription for polyphonic piano music,” in proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Canada, 2021.
Lele Liu, Veronica Morfi and Emmanouil Benetos, “Joint piano-roll and score transcription for polyphonic piano music,” DMRN+15: Digital Music Research Network One-day Workshop, London, 2020.
Lele Liu and Emmanouil Benetos, “Automatic music accompaniment with a chroma-based music data representation,” DMRN+14: Digital Music Research Network One-day Workshop, London, 2019.
Giovanni Bindi, Nils Demerlé, Rodrigo Diaz, David Genova, Aliénor Golvet, Ben Hayes, Jiawen Huang, Lele Liu, Vincent Martos, Sarah Nabi, Teresa Pelinski, Lenny Renault, Saurjya Sarkar, Pedro Sarmento, Cyrus Vahidi, Lewis Wolstanholme, Yixiao Zhang, Axel Roebel, Nick Bryan-Kinns, Jean-Louis Giavitto, Mathieu Barthet, “AI (r)evolution–where are we heading? Thoughts about the future of music and sound technologies in the era of deep learning,” arXiv preprint arXiv:2310.18320, 2023.
Adrien Ycart, Lele Liu, Emmanouil Benetos and Marcus T. Pearce. “Musical features for automatic music transcription evaluation,” arXiv preprint arXiv:2004.07171, 2020.