Projects per year
Personal profile
Personal profile
Graduated from world-famous Centre for Digital Music (C4DM), Queen Mary University of London (QMUL), Shengchen Li has focused on machine listening techniques on various types of signals including music, acoustic signal and biomedical signal. Being a pianist in young age, Shengchen has a special interest in computer music research including but not limited to automatic music generation, computational musicology and objective evaluation of piano performance. His fellow students have named among the winner / top-ranked teams of IEEE AASP Data Challenge on Detection and Classification of Acoustic Scenes and Events (DCASE), which is a competitive and top-ranked data challenge in acoustic signal processing society, in the year of 2018-2021.Shengchen is currently the leader of research group of machine learning and data analytics. He also has a fee studentship available for application at this stage. You are also more than welcome to visit Shengchens personal webpage at https://shengchenli.github.io/ for details.
Research interests
Efficient Machine Learning (Model Compression)
Machine Learning
Machine Listening
Experience
Assistant Professor, Xian Jiaotong - Liverpool University, Mar 2021 -
Lecturer, Beijing Unviersity of Posts and Telecommunications, Sep 2016 - Mar 2021
Teaching
INT307, Multimedia Security System, Sem 1, Academic Year 21/22, 22/23
INT104, Artificial Intelligence, Sem 2, Academic Year 20/21, 21/22, 22/23
Awards and honours
2nd Place overall on Low-Complexity Acoustic Scenes Classification, DCASE Data Challenge, 2023
Best Student Paper, Adversarial Domain Adaptation for Open Set Acoustic Scene Classification, Conference on Sound and Music Technology, 2020
Reproducibility Award, automated audio captioning, IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events (DCASE), 2020.
2nd Place overall (1st as an academic team) on automated audio captioning, IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events (DCASE), 2020.
1st Place on Open-set Acoustic Scenes Identification, IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events (DCASE), 2019
Best Student Paper, A Standard MIDI File Steganography Based on Music Perception, Conference on Sound and Music Technology, 2018
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PhD, Queen Mary University of London, awarded by 31st March 2016
BSc (First Class), Queen Mary University of London, awarded by 31st July 2011
Person Types
- Staff
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Algorithm Robustness Analysis for Audio Processing Algorithms based on Deep Learning
1/07/23 → 30/06/26
Project: Internal Research Project
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Suzhou Municipal Key Lab for Intelligent Virtual Engineering
Yue, Y., Liang, H. N., Lim, E. G., Man, K. L., Ma, F., Wang, X., Guan, S., Wang, Q., Xiao, J., Ma, J., Meng, J., Zhang, C., Chen, M., Chen, B., Wang, W., Craig, P., Sun, J., Liu, G., Xia, J., Zhu, X., Yu, L., Zhang, J., Qi, J., Huang, M., Yang, R., Li, S., Dong, Y., Yang, X., Li, Y., Wang, J., Zhang, H., Wei, Z., Sun, Q., Elsheikh, A., Levers, A., Konev, B., Coenen, F., Atkinson, K., Gasieniec, L., Wong, P., Payne, T., Garcia-Fernandez, A. & Zhang, Y.
1/11/22 → 30/10/25
Project: Governmental Research Project
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A research on domestic robustness for acoustic signal processing system
1/07/22 → 30/06/25
Project: Governmental Research Project
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Acoustic Scenes Identification based on Domain Adaptation
1/01/21 → 31/12/23
Project: Governmental Research Project
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Suzhou Municipal Key Lab of Cognitive Computing and Applied Technology
Wang, Q., Man, K. L., Wang, X., Ma, F., Wen, H., Jin, X., Xiao, J., Xu, M., Chen, M., Lee, S., Wang, Z., Liu, G., Niu, Q., Wen, M., Yu, L., Zhang, R., Wang, W., Liu, W., Ma, J., Zhao, C., Yang, R., Liu, Q., Zhang, Q., Yang, X., Song, P., Wang, J., Li, S., Li, Y., Yu, L., Zhu, X., Chen, J., Selig, T., Lim, E. G., Huang, K., Hussain, A., Coenen, F., Tillo, T., Huang, X., Yi, X., Guan, S., Yue, Y., Liang, H. & Kim, J.
1/07/19 → 30/06/21
Project: Governmental Research Project
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Acoustic Scene Classification Across Cities and Devices via Feature Disentanglement
Tan, Y., Ai, H., Li, S. & Plumbley, M. D., 12 Jan 2024, In: IEEE/ACM Transactions on Audio Speech and Language Processing. 32, p. 1286-1297 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Language-based Audio Retrieval with GPT-Augmented Captions and Self-Attended Audio Clips
Gu, F., Gu, Y., Xu, Y., Sun, H., Pan, Y., Li, S. & Zhang, H., 2024, Proceedings of the 2024 27th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2024. Shen, W., Shen, W., Barthes, J-P., Luo, J., Qiu, T., Zhou, X., Zhang, J., Zhu, H., Peng, K., Xu, T. & Chen, N. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 858-863 6 p. (International Conference on Computer Supported Cooperative Work in Design (CSCWD)).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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LEVERAGING SELF-SUPERVISED AUDIO REPRESENTATIONS FOR DATA-EFFICIENT ACOUSTIC SCENE CLASSIFICATION
Cai, Y., Li, S. & Shao, X., 20 Oct 2024, Proceeding of DCASE workshop 2024.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Speech Formants Integration for Generalized Detection of Synthetic Speech Spoofing Attacks
Liu, K., Wang, Y., Li, S. & Shao, X., 5 Sept 2024, Proceeding of INTERSPEECH 2024.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Open Access -
TF-SepNet: An Efficient 1D Kernel Design in Cnns for Low-Complexity Acoustic Scene Classification
Cai, Y., Zhang, P. & Li, S., 18 Mar 2024.Research output: Contribution to conference › Paper › peer-review
Open Access
Activities
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Robustness Analysis in Music Informatics
Shengchen Li (Speaker)
29 Aug 2024Activity: Talk or presentation › Invited talk
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Detection and Classification of Acoustic Scenes and Events (Event)
Shengchen Li (Reviewer)
1 Aug 2024Activity: Peer-review and editorial work of publications › Publication Peer-review
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IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) (Journal)
Shengchen Li (Reviewer)
24 Jun 2024Activity: Peer-review and editorial work of publications › Publication Peer-review
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IEEE International Workshop on Machine Learning for Signal Processing (MLSP) 2024 (Event)
Shengchen Li (Reviewer)
1 Jun 2024Activity: Peer-review and editorial work of publications › Publication Peer-review
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European Signal Processing Conference 2024 (Event)
Shengchen Li (Reviewer)
1 May 2024Activity: Peer-review and editorial work of publications › Publication Peer-review