於帥

男🧍‍♂️，計算機軟件與理論系，講師🔤，碩士生導師

2022年6月獲得復旦大學計算機應用技術專業博士學位🤸🏿‍♂️。同年12月起，在沐鸣注册擔任講師，從事人工智能方面的科研工作。目前已在國際頂級會議期刊發表論文10余篇☠️🧢。參與國家自然科學基金項目和科技部重大科研項目各1項。擔任IEEE Transactions on Affective Computing、IEEE-ACM Transactions on Audio, Speech and Language Processing、Neurocomputing⌚️、ICASSP、ICME等期刊和會議審稿人💧。

歡迎對跨模態信息處理與檢索🏊🏼‍♀️、自然語言處理、音頻/音樂信號處理感興趣的同學聯系。

主要研究方向:

跨模態信息處理與檢索

音頻/音樂信號處理

自然語言處理

主要研究論文：

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（指導的碩士生）, 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 (中科院SCI二區Top🛀，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 (SCI 二區, 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 (中科院SCI 一區Top, 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.

在讀研究生：

劉駿 （LIU Jun）2023-

何小亮（HE Xiaoliang）2023-

聯系方式🚃：

電子郵箱：shuai_yu@dhu.edu.cn

地址🗂🧔🏻‍♂️：上海市松江區人民北路2999號沐鸣娱乐1號沐鸣樓103室

郵政編碼：201620

Shuai Yu

In June 2022, he received the doctor's degree in computer science and technology from Fudan University. Since Dec. 2022, he has served as an assistant professor in the School of Computer Science and Technology, Donghua University. He has published more than 10 papers in top conferences and journals. Moreover, he serves as reviewers of IEEE Transactions on Affective Computing🐟、IEEE-ACM Transactions on Audio, Speech and Language Processing、Neurocomputing、ICASSP、ICME.

Main research area:

Cross-modal Information Processing and Retrieval

Natural Language Processing

Audio/Music Signal Processing

E-mail: shuai_yu@dhu.edu.cn

Address: 2999 North Renmin Road, Songjiang District, Shanghai, China

Office: Room 103, Building 1