Selected Publications

* indicates equal contribution; ^† indicates corresponding authorship.

Shuai Yu, Xiaoliang He, Kangjie Dong, Yi Yu, "DUDA: A Two-stage Decoupling Unsupervised Domain Adaptation Framework for Semi-supervised Singing Melody Extraction from Polyphonic Music", Proceedings of the 33rd ACM International Conference on Multimedia (ACM Multimedia, CCF-A), 2025.

Xiaoliang He, Kangjie Dong, Jingkai Cao, Shuai Yu^†, Wei Li, Yi Yu, "A Mamba-based Network for Semi-supervised Singing Melody Extraction Using Confidence Binary Regularization", International Conference on Acoustics, Speech and Signal Processing (ICASSP, CCF-B), pp.1-5, 2025.

Jun Liu, Kangjie Dong, Qiubo Huang, Shuai Yu^†, Wei Li, "Ultra Lightweight Singing Melody Extraction via Combination of Convolution and MLP", International Conference on Acoustics, Speech and Signal Processing (ICASSP, CCF-B), pp.1-5, 2025.

Shuai Yu, Xiaoliang He, Ke Chen, Yi Yu, "HKDSME: Heterogeneous Knowledge Distillation for Semi-supervised Singing Melody Extraction Using Harmonic Supervision", Proceedings of the 32nd ACM International Conference on Multimedia (ACM Multimedia, CCF-A, Best Paper Nomination), pp. 545-553, 2024.

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, CCF-A), pp. 365-373, 2024.

Shuai Yu, Xiaoliang He, Yanting Zhang, "RevNet: A Review Network with Group Aggregation Fusion for Singing Melody Extraction", IEEE Conference on Multimedia Expo (ICME, CCF-B), pp.1-6, 2024.

Shuai Yu, Jun Liu, Yi Yu, Wei Li, "A Scalable Sparse Transformer Model for Singing Melody Extraction", International Conference on Acoustics, Speech and Signal Processing (ICASSP, CCF-B), pp. 1071-1075, 2024.

Shuai Yu, Yi Yu, Xiaoheng Sun, Wei Li, "A Neural Harmonic-aware Network with Gated Attentive Fusion for Singing Melody Extraction", Neurocomputing (JCR Q1, IF=6.0), Vol.521, pp. 160-171, 2023.

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.

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.

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.

Shuai Yu, Yi Yu, Xi Chen and Wei Li, "HANME: Hierarchical Attention Network for Singing Melody Extraction", IEEE Signal Processing Letters (JCR Q2, IF=3.109), vol. 28, pp. 1006-1010, 2021.

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.

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.

Previous Publications Before 2020

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.

Shuai Yu, Min Yang, Qiang Qu, Ying Shen, "Contextual-Boosted Deep Neural Collaborative Filtering Model for Interpretable Recommendation", Expert Systems with Applications (JCR Q1, IF=8.665), vol.136, pp. 365-375, 2019.

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