Lele Liu
M.Sc. Lele Liu
Hubland Nord (ZPD)
Emil-Hilb-Weg 23
Personal Homepage: cheriell.github.io
Positions
| 10.2023 - Present | Research Assistant at University of Würzburg, Würzburg, Germany Computational Humanities, Center for Artificial Intelligence and Data Science (CAIDAS) |
| 10.2021 - 12.2021 | Research Internship at ByteDance, London, UK Speech, Audio and Music Intelligence (SAMI) |
| 10.2018 - 06.2019 | Web Engineer, Winery Group, Guangzhou, China |
Education
| 09.2019 - Present | PhD in Artificial Intelligence and Music at Queen Mary University of London |
| 01.2022 - 12.2022 | Enrichment PhD Student at The Alan Turing Institute |
| 09.2017 - 09.2018 | MSC in Sound and Music Computing at Queen Mary University of London |
| 09.2013 - 06.2017 | BSc in Telecommunications Engineering with Management at Beijing University of Posts and Telecommunications and Queen Mary University of London |
Awards and Scholarships
| 2022 | Best Paper Award at the International Society for Music Information Retrieval Conference |
| 2021 | Enrichment Scheme Award at The Alan Turing Institute |
| 2019 | QMUL and CSC Joint PhD Scholarship by Queen Mary University of London and China Scholarship Council |
| 2017 | International Science and Engineering Excellence Award at the Queen Mary University of London |
| 2016 | International Science and Engineering Excellence Award at the Queen Mary University of London |
| 2015 | The First Class Scholarship at Beijing University of Posts and Telecommunications |
| 2014 | National Scholarship by Ministry of Education of the People's Republic of China |
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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 Notable), May 2024.
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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.
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Lele Liu, Qiuqiang Kong, Veronica Morfi and Emmanouil Benetos, “Performance MIDI-to-score conversion by neural beat tracking,” in proceedings of the 23rd International Society for Music Information Retrieval (ISMIR) Conference, Bengaluru, India, Dec 2022. Best paper award
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Lele Liu, Veronica Morfi and Emmanouil Benetos, “ACPAS: A Dataset of aligned classical piano audio and scores for audio-to-score transcription,” International Society for Music Information Retrieval Conference Late-Breaking Demos Session (ISMIR-LBD), Nov 2021.
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Lele Liu and Emmanouil Benetos, “From audio to music notation,” in Handbook of Artificial Intelligence for Music, E. Miranda (ed.), pp. 693-714, Springer, 2021 (ISBN: 978-3-030-72115-2).
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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, Jun 2021.
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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, Dec 2020.
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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.
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Adrien Ycart, Lele Liu, Emmanouil Benetos and Marcus T. Pearce. “Musical features for automatic music transcription evaluation,” arXiv preprint arXiv:2004.07171, 2020.
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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, Dec 2019.
Reviewer in Journals
- Transactions of the International Society for Music Information Retrieval
- PeerJ Computer Science
- Computer Music Journal
Reviewer in Conferences
- International Society for Music Information Retrieval Conference (2021 – 2024)
- IEEE International Conference on Acoustics, Speech and Signal Processing (2023 – 2024)
- IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (2023)
Current Courses
- Lecture: Music Information Retrieval for MSc Computer Science, MSc xtAI, MA Digital Humanities, JMU Würzburg Summer Term 2024
Previous Courses
- Seminar: Music Processing, for MSc Computer Science, MSc xtAI, JMU Würzburg, Winter Term 2023/24
- Seminar: Music Transcription, for MSc Computer Science, MA Digital Humanities, Winter Term 2023/24
- Teaching assistant: Music Informatics for MSc students, QMUL, Spring Term 2023
- Teaching assistant: Professional and Research Practice for MSc students, QMUL, Fall Term 2022
- Teaching assistant: Music Informatics for MSc students, QMUL, Spring Term 2022
- Teaching assistant: Music Informatics for MSc students, QMUL, Spring Term 2021
- Teaching assistant: Machine Learning for MSc students, QMUL, Fall Term 2019
