Intern
Computational Humanities

Yiwei Ding

M.Sc. Yiwei Ding

Research Assistant / PhD Student
Computational Humanities
Universität Würzburg
Hubland Nord (ZPD)
Emil-Hilb-Weg 23
97074 Würzburg
Germany
Gebäude: ZPD
Raum: 02.007

Education

  • 06.2024 - Now Research Assistant/Ph.D. student, University of Würzburg
  • 08.2022 - 05.2024 Master of Science in Music Technology, Georgia Institute of Technology
  • 09.2018 - 06.2022 Bachelor of Science in Data Science and Big Data Technology, Fudan University

Teaching Activities

  • Master's Thesis: Sapana Gupta, “Colorization of Egyptian Relief Images”, University of Würzburg, 2025
  • Bachelor's Thesis: Jan Esperer, “Sound Activity Detection by Demixing: a Case Study on Western Films”, University of Würzburg, 2025
  • Exercise (for the lecture): Music Information Retrieval, University of Würzburg, Summer 24, Summer 25
  • Tutorial (for the lecture): Deep Learning, University of Würzburg, Summer 25
  • Seminar: Music Processing, University of Würzburg, Winter 23/24, Winter 24/25

Reviewing

  • International Society for Music Information Retrieval Conference (ISMIR, 2025-2026)
    • Outstanding Reviewer (2025)
  • International Conference on Acoustics, Speech, and Signal Processing (ICASSP, 2024-2026)
  • International Computer Music Conference (ICMC, 2025)

  • IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA, 2025)

Publications

2026[ to top ]
  • [1]
    Y. Ding, Y. Venohr, S. Strahl, M. Müller, and C. Weiß, “Revisiting Two-Stage Audio Chord Recognition in the Deep Learning Era: Leveraging Multi-Pitch Estimation and Symbolic Pretraining”, in Proceedings the International Society for Music Information Retrieval Conference (ISMIR), Abu Dhabi, UAE, 2026.
2025[ to top ]
  • [1]
    K. N. Watcharasupat, Y. Ding, T. A. Ma, P. Seshadri, and A. Lerch, “Uncertainty Estimation in the Real World: A Study on Music Emotion Recognition”, in European Conference on Information Retrieval, in Lecture Notes in Computer Science. Springer, 2025, pp. 218–232. doi: 10.1007/978-3-031-88711-6\_14.
  • [1]
    Y. Venohr, Y. Ding, and C. Weiß, “Towards Robust Music Transcription by Measuring Cross-Version Consistency in Western Classical Music”, in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), Daejeon, South Korea, 2025, pp. 271–278. [Online]. Available: https://doi.org/10.5281/zenodo.17811552
  • [1]
    Y. Ding, Y. Venohr, and C. Weiß, “An Evaluation Strategy for Local Key Estimation: Exploiting Cross-Version Consistency”, in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), Daejeon, Republic of Korea, 2025, pp. 158–165.
2024[ to top ]
  • [1]
    Y. Ding and C. Weiß, “Towards Robust Local Key Estimation with a Musically Inspired Neural Network”, in Proceedings of the European Signal Processing Conference (EUSIPCO), Lyon, France: IEEE, 2024, pp. 26–30.
2023[ to top ]
  • [1]
    Y. Ding and A. Lerch, “Audio Embeddings as Teachers for Music Classification.”, in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), A. Sarti, F. Antonacci, M. Sandler, P. Bestagini, S. Dixon, B. Liang, G. Richard, and J. Pauwels, Eds., 2023, pp. 579–587. doi: 10.5281/ZENODO.10265353.
2022[ to top ]
  • [1]
    M. Zhao, Y. Ma, Y. Ding, Y. Zheng, M. Liu, and M. Xu, “Multi-Query Multi-Head Attention Pooling and Inter-Topk Penalty for Speaker Verification.”, in ICASSP, IEEE, 2022, pp. 6737–6741. doi: 10.1109/ICASSP43922.2022.9746178.