Projects per year
Personal profile
Personal profile
Dr. Sichen Liu is currently an Assistant Professor in the School of Advanced Technology at Xi’an Jiaotong-Liverpool University. She received her Ph.D. degree in Signal and Information Processing from the Institute of Acoustics, University of Chinese Academy of Sciences in 2021. From 2021 to 2022, she served as an Audio Algorithm Research Scientist at Tencent, where she focused on audio fingerprinting systems for large-scale multimedia platforms. Her current research interests focus on AI research for audio/biomedical, covering sound event detection, speech enhancement and biomedical signal processing.
Dr. Liu has published 20+ papers in top-tier journals and conference proceedings and served as the reviewer in several high-impact journals and conferences like Circuits, Systems, and Signal Processing, Computer Science, Journal of Vibration and Shock, CVPR, ICASSP and ICMI. As Principal Investigator, she currently leads multiple national-, provincial-, and industry-funded research projects, including the NSFC Young Scientists Fund, State Key Laboratory Open Funds, among others. Her research is deeply rooted in practical application. Several research outcomes, such as UAV Acoustic Surveillance System, Urban Horn Detection System, and Large-scale Audio Fingerprinting System, have been successfully deployed in real-world industrial systems.
Call for RAs:
I am looking for strongly motivated 【PhD students】, 【Master students】 and 【Undergraduate Research Assistants】 to join our research group. Contact me via: Sichen.Liu@xjtlu.edu.cn
Research interests
Audio Signal Processing
Sound Event Detection
Speech Enhancement
Experience
Audio Algorithm Research Scientist, Tencent, 2021 to 2022
Assistant Professor, Xian Jiaotong-Liverpool University, 2022 to Present
Teaching
INT104, Artificial Intelligence
INT307, Multimedia Security Systems
INT305, Machine Learning
INT403, Spoken Language Processing
Awards and honours
Advanced Individual of Suzhou Artificial Intelligence Society, 2024
Suzhou Copyright Expert, Suzhou Copyright Office, 2023
The 2th China Industrial Big Data Innovation Competition, “Tool condition monitoring based on multi-sensor fusion”, first prize, 2020.
Education/Academic qualification
B.S., Harbin Engineering University, 2016
Ph.D., Chinese Academy of Sciences, 2021
Research areas
- Audio Signal Processing
- Sound Event Detection
- Unmanned Aerial Vehicle Detection
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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Noise Source Recognition in Urban Environments
Liu, S. (PI)
1/12/25 → 30/09/26
Project: Collaborative Research Project
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Real-Time Speech Enhancement for Meeting Applications
Liu, S. (PI)
20/08/25 → 20/08/29
Project: Collaborative Research Project
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Multi-source Concurrent Scene: Self-supervised Methods for Acoustic Event Detection and Separation
Liu, S. (PI)
1/01/25 → 31/12/27
Project: Governmental Research Project
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Self-supervised noise source detection and separation method
Liu, S. (PI), Kang, F. (Team member), Wang, Q. (Team member), Jin, X. (Team member), Guo, J. (Team member), Hao, S. (Team member), Hu, X. (Team member) & Wu, M. (Team member)
1/01/24 → 31/12/25
Project: Governmental Research Project
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AnesNet: A Versatile Deep Convolutional Framework for Predicting Depth of Anesthesia Using BIS and Multimodal Intraoperative Signals
Qi, Y., Wang, X., Cui, Y., Liu, K., Chen, L., Guo, X., Li, Z. & Liu, S., Feb 2026, In: BMC Anesthesiology.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Fast Food, Fast Aging? A Cross-Sectional Study in the UK
Li, G., Cui, Y., Huang, W., Liu, S., Wang, X. & Li, N., Apr 2026, In: BMC Public Health.Research output: Contribution to journal › Article › peer-review
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Modifiable Risk Faetors and Risk of Schizophrenia and Bipolar Disorder across Severities of Genetic Risk
Cui, Y., Sun, Y., Liu, S., Song, J., Wang, X. & Li, N., Apr 2026, In: Journal of Affective Disorders.Research output: Contribution to journal › Article › peer-review
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Noise and Sampling Schedules in Score-Based Diffusion Models for Speech Enhancement
Yuan, L., Han, Q., Xu, Z. & Liu, S., May 2026, SPIE.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Robust Lightweight COVID-19 Cough Audio Classification under Limited Data Conditions
Lu, L., Han, Q., Hu, H. & Liu, S., May 2026, SPIE.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Activities
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Review on Weakly Labeled Sound Event Detection
Liu, S. (Speaker)
Jan 2024Activity: Talk or presentation › Presentation at conference/workshop/seminar
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2023 Acoustics Industry Forum of Jiangsu Acoustical Society
Liu, S. (Participant)
Dec 2023Activity: Participating in or organising an event › Participating in an event e.g. a conference, workshop, …
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Review on Weakly Labeled Sound Event Detection
Liu, S. (Speaker)
Oct 2023Activity: Talk or presentation › Invited talk
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Institute of Acoustics, Chinese Academy of Sciences (IACAS)
Liu, S. (Visiting researcher)
Jun 2023 → Aug 2023Activity: Research visit
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Foley Sound Synthesis
Liu, S. (Supervisor)
Jun 2023 → Aug 2023Activity: Supervision › Completed SURF Project