Scholar
Shengchen Li
Google Scholar ID: 4IUw-gcAAAAJ
Xi'an Jiaotong-Liverpool University
Citations & Impact
Citations
615
H-index
14
i10-index
20
Publications
20
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- Hosted a NSFC (Natural Science Foundation of China) project named 'Acoustic Scenes Identification based on Domain Adaptation'. Published multiple papers accepted by TASLP, ICASSP, etc. In 2025, led an international team to rank 4th in RenCon, MIREX data challenge, and was invited for live performance over ISMIR 2025.
Research Experience
- Currently an Associate Professor at the Department of Intelligent Science, Xi'an Jiaotong-Liverpool University, leading a research group in machine learning and data analytics. The module leader of INT306 (Computer Auditory Systems) and INT104 (Artificial Intelligence). Led his research team to achieve high ranks in the DCASE (Detection and Classification of Acoustic Scenes and Events) data challenge.
Education
- Graduated from Centre for Digital Music (C4DM), Queen Mary University of London, obtained a Ph.D. degree.
Background
- Research interests include computational musicology and acoustic signal processing, with some attempts on hardware implementation of deep learning algorithms. A member of the task force on Speech Dialogue and Auditory Processing, China Computer Federation.
Miscellany
- Recruiting new PhD students / RAs who are interested in auditory intelligence research throughout the academic year. From case to case, there might be scholarship available for PhD applicants.
