Shuai Yu

Shuai Yu

Biography

I received my doctor’s degree in Computer Science and Technology from Fudan University in June 2022. Since December 2022, I have been an Assistant Professor in the School of Computer Science and Technology at Donghua University. I have published over ten papers in top conferences and journals. Additionally, I serve as a reviewer for several renowned publications and conferences, including IEEE Transactions on Affective Computing, IEEE-ACM Transactions on Audio, Speech, and Language Processing, Neurocomputing, ICASSP, and ICME. My main research areas include cross-modal information processing and retrieval, natural language processing, and audio/music signal processing.

Selected Publications

  1. Shuai Yu.“MCSSME: Multi-task Contrastive Learning for Semi-Supervised Singing Melody Extraction from Polyphonic Music”, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI, Full paper, CCF-A) 2024.

  2. Shuai Yu,Jun Liu, Yi Yu, Wei Li. “A Scalable Sparse Transformer for Singing Melody Extraction”, International Conference on Acoustics, Speech and Signal Processing (ICASSP, CCF-B), 2024.

  3. Shuai Yu, Yi Yu, Wei Li, “A Neural Harmonic-aware Network with Gated Attentive Fusion for Singing Melody Extraction”, Neurocomputing (IF=6.0), Vol.521, pp. 160-171, 2023.

  4. Shuai Yu, Xi Chen, Wei Li, “Hierarchical Graph-based Neural Network for Singing Melody Extraction”, International Conference on Acoustics, Speech and Signal Processing (ICASSP, CCF-B), pp. 626-630, 2022.

  5. Shuai Yu, Yiwei Ding, Kun Qian, Bin Hu, Wei Li, Björn Schuller, “A Glance-and-gaze Network for Respiratory Sound Classification”, International Conference on Acoustics, Speech and Signal Processing (ICASSP, CCF-B), pp. 9007-9011, 2022.

  6. Ke Chen, Shuai Yu, Cheng-i Wang, Wei Li, Taylor Berg-Kirkpatrick, Shlomo Dubnov, “TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music”, International Conference on Acoustics, Speech and Signal Processing (ICASSP, CCF-B), pp. 621-625, 2022.

  7. Shuai Yu, Yi Yu, Xi Chen and Wei Li, “HANME: Hierarchical Attention Network for Singing Melody Extraction”, IEEE Signal Processing Letters (IF=3.109), vol. 28, pp. 1006-1010, 2021.

  8. Shuai Yu, Xiaoheng Sun, Yi Yu, Wei Li, “Frequency-temporal Attention Network for Singing Melody Extraction”, International Conference on Acoustics, Speech and Signal Processing (ICASSP, CCF-B), pp. 251-255, 2021.

  9. Shuai Yu, Chenxing Li, Feng Deng, Xiaorui Wang, “Rethinking Singing Voice Separation with Spectral-Temporal Transformer”, Asia-Pacific Signal and Information Processing Associate, (APSIPA ASC, EI), pp. 884-889, 2021.

  10. Shuai Yu, Yongbo Wang, Min Yang, Baocheng Li, Jialie Shen, “NAIRS: A Neural Attentive Interpretable Recommendation System”, ACM International Conference on Web Search and Data Mining (WSDM, CCF-B, Demo Paper), pp. 790-793, 2019.

  11. Shuai Yu, Min Yang, Qiang Qu, Ying Shen, “Contextual-Boosted Deep Neural Collaborative Filtering Model for Interpretable Recommendation”, Expert Systems with Applications (IF=8.665), vol.136, pp. 365-375, 2019.

  12. Sixuan Chen, Shuai Yu *, “WAIS: Word Attention for Joint Intent Detection and Slot Filling”, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI, CCF-A, Abstract), pp. 9927-9928, 2019.

Students

LIU Jun (2023- ）
HE Xiaoliang (2023- ）
DONG Kangjie (2024- ）
LI Xiang (2024- ）
CAO Jingkai (2024- ）
WANG Shengqi (2024- ）