Shuai Yu

According to our database, Shuai Yu authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HKDSME: Heterogeneous Knowledge Distillation for Semi-supervised Singing Melody Extraction Using Harmonic Supervision.

Shuai Yu, Xiaoliang He, Ke Chen, Yi Yu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Is Translation Helpful? An Exploration of Cross-Lingual Transfer in Low-Resource Dialog Generation.

Lei Shen, Shuai Yu, Xiaoyu Shen

Proceedings of the International Joint Conference on Neural Networks, 2024

A Scalable Sparse Transformer Model for Singing Melody Extraction.

Shuai Yu, Jun Liu, Yi Yu, Wei Li

Proceedings of the IEEE International Conference on Acoustics, 2024

MCSSME: Multi-Task Contrastive Learning for Semi-supervised Singing Melody Extraction from Polyphonic Music.

Shuai Yu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A neural harmonic-aware network with gated attentive fusion for singing melody extraction.

Shuai Yu, Yi Yu, Xiaoheng Sun, Wei Li

Neurocomputing, 2023

Is Translation Helpful? An Empirical Analysis of Cross-Lingual Transfer in Low-Resource Dialog Generation.

Lei Shen, Shuai Yu, Xiaoyu Shen

CoRR, 2023

2022

A Glance-and-Gaze Network for Respiratory Sound Classification.

Shuai Yu, Yiwei Ding, Kun Qian, Bin Hu, Wei Li, Björn W. Schuller

Proceedings of the IEEE International Conference on Acoustics, 2022

Hierarchical Graph-Based Neural Network for Singing Melody Extraction.

Shuai Yu, Xi Chen, Wei Li

Proceedings of the IEEE International Conference on Acoustics, 2022

Tonet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music.

Ke Chen, Shuai Yu, Cheng-i Wang, Wei Li, Taylor Berg-Kirkpatrick, Shlomo Dubnov

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

HANME: Hierarchical Attention Network for Singing Melody Extraction.

Shuai Yu, Yi Yu, Xi Chen, Wei Li

IEEE Signal Process. Lett., 2021

Frequency-Temporal Attention Network for Singing Melody Extraction.

Shuai Yu, Xiaoheng Sun, Yi Yu, Wei Li

Proceedings of the IEEE International Conference on Acoustics, 2021

Rethinking Singing Voice Separation With Spectral- Temporal Transformer.

Shuai Yu, Chenxing Li, Feng Deng, Xiaorui Wang

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020

Computer Audition for Healthcare: Opportunities and Challenges.

Kun Qian, Xiao Li, Haifeng Li, Shengchen Li, Wei Li, Zuoliang Ning, Shuai Yu, Limin Hou, Gang Tang, Jing Lu, Feng Li, Shufei Duan, Chengcheng Du, Yao Cheng, Yujun Wang, Lin Gan, Yoshiharu Yamamoto, Björn W. Schuller

Frontiers Digit. Health, 2020

2019

Contextual-boosted deep neural collaborative filtering model for interpretable recommendation.

Shuai Yu, Min Yang, Qiang Qu, Ying Shen

Expert Syst. Appl., 2019

NAIRS: A Neural Attentive Interpretable Recommendation System.

Shuai Yu, Yongbo Wang, Min Yang, Baocheng Li, Qiang Qu, Jialie Shen

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

WAIS: Word Attention for Joint Intent Detection and Slot Filling.

Sixuan Chen, Shuai Yu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Multi-task Learning for Author Profiling with Hierarchical Features.

Zhile Jiang, Shuai Yu, Qiang Qu, Min Yang, Junyu Luo, Juncheng Liu

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

GPSP: Graph Partition and Space Projection based Approach for Heterogeneous Network Embedding.

Wenyu Du, Shuai Yu, Min Yang, Qiang Qu, Jia Zhu

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

ACJIS: A Novel Attentive Cross Approach For Joint Intent Detection And Slot Filling.

Shuai Yu, Lei Shen, Pengcheng Zhu, Jiansong Chen

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018