Projects per year
Personal profile
Personal profile
Graduating from the 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, and biomedical signals. Being a pianist at a 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 the research group on machine learning and data analytics. He is also a senior member of IEEE.
Research interests
Efficient Machine Learning (Model Compression)
Machine Learning
Machine Listening
Experience
Associate Professor, Xi'an Jiaotong-Liverpool University, Jan 2025 -
Assistant Professor, Xi'an Jiaotong-Liverpool Univeresity, Apr 2021 - Dec 2024
Lecturer, Beijing Unviersity of Posts and Telecommunications, Sep 2016 - Mar 2021
Teaching
INT306, Computer Auditory System, Sem 2, Academic Year 23/24, 24/25.
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, 23/24, 24/25
Awards and honours
Judge's award on data-efficient acoustic scenes classification, DCASE data challenge, 2024
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):
Related documents
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
Research areas
- Machine Listening
- Machine Learning
- Acoustic Signal Processing
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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Speaker Identification for Commercial Bank
Li, S. (PI), Cai, Y. (Team member), Tan, Y. (Team member), Shao, X. (Team member), Zhao, S. (Team member), Duan, Y. (Team member) & Zhang, M. (Team member)
1/11/24 → 31/10/27
Project: Governmental Research Project
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Intelligent anti-terrorism system for sound
Li, S. (PI), Hou, J. (Team member), Wang, K. (Team member), Cai, Y. (Team member) & Tan, Y. (Team member)
1/11/24 → 31/10/27
Project: Governmental Research Project
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Algorithm Robustness Analysis for Audio Processing Algorithms based on Deep Learning
Li, S. (PI)
1/07/23 → 30/06/26
Project: Internal Research Project
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Suzhou Municipal Key Lab for Intelligent Virtual Engineering
Yue, Y. (PI), Liang, H. N. (Team member), lim, E. (Team member), Man, K. L. (Team member), Ma, F. (Team member), Wang, X. (Team member), Guan, S. (Team member), Wang, Q. (Team member), Xiao, J. (Team member), Ma, J. (Team member), Meng, J. (Team member), Zhang, C. (Team member), Chen, M. (Team member), Chen, B. (Team member), Wang, W. (Team member), Craig, P. (Team member), Sun, J. (Team member), Liu, G. (Team member), Xia, J. (Team member), Zhu, X. (Team member), Yu, L. (Team member), Zhang, J. (Team member), Qi, J. (Team member), Huang, M. (Team member), Yang, R. (Team member), Li, S. (Team member), Dong, Y. (Team member), Yang, X. (Team member), Li, Y. (Team member), Wang, J. (Team member), Zhang, H. (Team member), Wei, Z. (Team member), Sun, Q. (Team member), Elsheikh, A. (Team member), Levers, A. (Team member), Konev, B. (Team member), Coenen, F. (Team member), Atkinson, K. (Team member), Gasieniec, L. (Team member), Wong, P. (Team member), Payne, T. (Team member), Garcia-Fernandez, A. (Team member) & Zhang, Y. (Team member)
1/11/22 → 30/10/25
Project: Governmental Research Project
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A research on domestic robustness for acoustic signal processing system
Li, S. (PI)
1/07/22 → 30/06/25
Project: Governmental Research Project
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Clustering Expressive Timing in Performed Classical Piano Music with VQ-VAE
Chai, Z. & Li, S., 25 Aug 2025, (Accepted/In press).Research output: Contribution to conference › Paper › peer-review
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Domain Adaptation of Few-Shot Bioacoustic Event Detection in Different Environments
Tan, Y., Ai, H., Li, S. & Fazekas, G., 10 Jul 2025, In: IEEE Transactions on Audio, Speech and Language Processing (TASLP). 33, p. 2986-2998Research output: Contribution to journal › Article › peer-review
Open Access -
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 Access12 Citations (Scopus) -
Early Adaption of Assessments Using Generative Artificial Intelligence and the Impact on Student Learning: A Case Study
Wang, L., Li, S. & Chen, Y., Dec 2024, In: African Journal of Inter/Multidisciplinary Studies. 6, 1, p. 1-12 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Exploring the Effects of Channel Sparsity on Neural Network Pruning for Acoustic Scene Classification
Cai, Y. & Li, S., 7 Nov 2024, Lecture Notes in Electrical Engineering.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Activities
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Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2025) (Event)
Shengchen Li (Reviewer)
11 Aug 2025Activity: Peer-review and editorial work of publications › Publication Peer-review
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17th International Symposium on Computer Music Multidisciplinary Research (Event)
Shengchen Li (Reviewer)
1 Aug 2025Activity: Peer-review and editorial work of publications › Publication Peer-review
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Data Efficient Acoustic Scene Classification with Low-Complexity
Shengchen Li (Supervisor)
1 Jul 2025 → 31 Aug 2025Activity: Supervision › Completed SURF Project
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Diffusion-Based Music Continuation: Waveform Generation with Contextual Coherence
Shengchen Li (Supervisor)
1 Jul 2025 → 31 Aug 2025Activity: Supervision › Completed SURF Project
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LLM for Acoustic Signal Processing
Shengchen Li (Supervisor)
1 Jul 2025 → 31 Aug 2025Activity: Supervision › Completed SURF Project