Publications | Dr Shengchen Li

2026

ICME2026 NMCSE: Noise-Robust Multi-Modal Coupling Signal Estimation Method via Optimal Transport for Cardiovascular Disease Detection
Peihong Zhang, Zhixin Li, Rui Sang, Yuxuan Liu, Shengchen Li. IEEE International Conference on Multimedia and Expo (ICME), Bangkok, Thailand, 2026.
SC2026 KCAM-SENet: Speech enhancement network with KAN-based channel attention module
Linhui Sun, Zhaowei Ding, Yuhang Qin, Tingting Wang, Shengchen Li, Xi Shao, Eng Siong Chng. Speech Communication, Volume 182, Article 103425, 2026.
FG2026 LBOR: Laplace--Beltrami Operator Regularization for Robust Skeleton-based Isolated Sign Language Recognition
Peihong Zhang, Yuxuan Liu, Zhixin Li, Rui Sang, Shengchen Li. the 20th IEEE International Conference on Automatic Face and Gesture Recognition, Tokyo, Japan, 2026.
ICASSP2026a Membership Inference Attack Against Music Diffusion Models via Generative Manifold Perturbation
Yuxuan Liu, Peihong Zhang, Rui Sang, Zhixin Li, Yizhou Tan, Yiqiang Cai, Shengchen Li. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2026.
ICASSP2026b DDSC: Dynamic Dual-Signal Curriculum for Data-Efficient Acoustic Scene Classification under Domain Shift
Peihong Zhang, Yuxuan Liu, Rui Sang, Zhixin Li, Yiqiang Cai, Yizhou Tan, Shengchen Li. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2026.
ICASSP2026c TopSeg: A Multi-Scale Topological Framework for Data-Efficient Heart Sound Segmentation
Peihong Zhang, Zhixin Li, Yuxuan Liu, Rui Sang, Yiqiang Cai, Yizhou Tan, Shengchen Li. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2026.
ICASSP2026d Cross-Domain Contrastive Learning with Dynamic Threshold Calibration for Source Speaker Tracing
Yitian Ding, Shengchen Li, Yansen Zhou. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2026.
AAAIW2026 TS-RaMIA: Membership Inference Attacks for Symbolic Music Generation Models
Yuxuan Liu, Rui Sang, Peihong Zhang, Zhixin Li, Kunyang Zhang, Shengyuan He, Ye Li, Kaiyi Xu, Shengchen Li. Proceedings of Machine Learning Research (PMLR), Vol. 303, pp. 1–5, Singapore, 2026.
TASLP2026 Reframing Audio Data Annotation as Domain Adaptation Process: A Multi-Indicator Active Learning Framework
Yizhou Tan, Haojun Ai, Shengchen Li, Mark D. Plumbley. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), Vol. 34, pp. 529–544, 2026.

2025

CMMR2025Liu Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack
Yuxuan Liu, Rui Sang, Peihong Zhang, Zhixin Li, Shengchen Li. International Symposium on Computer Music Multidisciplinary Research (CMMR), pp. 748–759, London, UK, 2025.
CMMR2025Chai Cluster Expressive Timing in Performed Music with VQ-VAE
Zihan Chai, Shengchen Li. International Symposium on Computer Music Multidisciplinary Research (CMMR), pp. 973–984, London, UK, 2025.
DCASE2025Yin Listening or Reading? An Empirical Study of Modality Importance Analysis Across AQA Question Types
Zeyu Yin, Yiqiang Cai, Xinyang Lyu, Pingsong Deng, Shengchen Li. Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, pp. 35–39, Barcelona, 2025.
DCASE2025Zhang An Entropy-Guided Curriculum Learning Strategy for Data-Efficient Acoustic Scene Classification under Domain Shift
Peihong Zhang, Yuxuan Liu, Zhixin Li, Rui Sang, Yizhou Tan, Yiqiang Cai, Shengchen Li. Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, pp. 100–104, Barcelona, 2025.
ISMIR2025 MAIA: An Inpainting-Based Approach for Music Adversarial Attacks
Yuxuan Liu, Peihong Zhang, Rui Sang, Zhixin Li, Shengchen Li, International Society for Music Information Retrieval (ISMIR), pp. 805–812, Daejeon, South Korea, 2025.
TASLP2025 Domain Adaptation of Few-Shot Bioacoustic Event Detection in Different Environments
Yizhou Tan, Haojun Ai, Shengchen Li, George Fazekas. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), Vol. 33, pp. 2986–2998, 2025.

2024

DCASE2024 Leveraging Self-Supervised Audio Representations for Data-Efficient Acoustic Scene Classification
Yiqiang Cai, Shengchen Li, Xi Shao. Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, Tokyo, Japan, 2024.
INTERSPEECH2024 Speech Formants Integration for Generalized Detection of Synthetic Speech Spoofing Attacks
Kexu Liu, Yuanxin Wang, Shengchen Li, Xi Shao. Annual Conference of the International Speech Communication Association (INTERSPEECH), Kos Island, Greece, 2024.
ICASSP2024 TF-SepNet: An Efficient 1D Kernel Design in CNNs for Low-Complexity Acoustic Scene Classification
Yiqiang Cai, Peihong Zhang, Shengchen Li. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
TASLP2024 Acoustic Scene Classification Across Cities and Devices via Feature Disentanglement
Yizhou Tan, Haojun Ai, Shengchen Li, Mark D. Plumbley. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), Vol. 32, pp. 1286–1297, 2024.
CSCWD2024 Language-based Audio Retrieval with GPT-Augmented Captions and Self-Attended Audio Clips
Fuyu Gu, Yang Gu, Yiyan Xu, Haoran Sun, Yushan Pan, Shengchen Li, Haiyang Zhang. IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), Tianjin, China, 2024.

2023

CSMT2023 Exploring the Effects of Channel Sparsity on Neural Network Pruning for Acoustic Scene Classification
Yiqiang Cai, Shengchen Li. 10th Conference on Sound and Music Technology (CSMT), pp. 101–112, Guangzhou, 2023.
CMMR2023 Pitch Class and Octave-based Pitch Embedding Training Strategies of Symbolic Music Generation
Yuqiang Li, Shengchen Li, Gyorgy Fazekas. 16th International Symposium on Computer Music Multidisciplinary Research (CMMR), pp. 86–97, Tokyo, Japan, 2023.
INTERSPEECH2023a Transductive Feature Space Regularization for Few-shot Bioacoustic Event Detection
Yizhou Tan, Haojun Ai, Shengchen Li. Annual Conference of the International Speech Communication Association (INTERSPEECH), pp. 571–575, Dublin, Ireland, 2023.
INTERSPEECH2023b Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention
Xubo Liu, Qiushi Huang, Xinhao Mei, Haohe Liu, Qiuqiang Kong, Jianyuan Sun, Shengchen Li, Tom Ko, Yu Zhang, Lilian Tang, Mark Plumbley, Volkan Kilic, Wenwu Wang. Annual Conference of the International Speech Communication Association (INTERSPEECH), pp. 2838–2842, Dublin, Ireland, 2023.
JNJUPT2023 Multimodal Scene Classification for Encoder-Assisted Videos
Tianyang Huang, Yuanbo Hou, Shengchen Li, Xi Shao. Journal of Nanjing University of Posts and Telecommunications (Natural Science), Vol. 43(1), pp. 104–110, 2023.
JFD2023 Multimodal Scene Classification Based on Self-Attention Mechanism
Yue Chang, Yuanbo Hou, Yizhou Tan, Shengchen Li, Xi Shao. Journal of Fudan University (Natural Science), Vol. 62(1), pp. 46–52, 2023.

2022

ISMIR2022 How Music Features and Musical Data Representations Affect Objective Evaluation of Music Composition
Yuqiang Li, Shengchen Li, George Fazekas. International Society for Music Information Retrieval (ISMIR), pp. 93–99, 2022.
JFD2022a Unsupervised Machine Abnormal Sound Detection Based on Spectrum Sensing Audio Denoising (In Chinese)
Rui Qiu, Chenxu Zhang, Yao Yao, Shengchen Li, Xi Shao. Journal of Fudan University (Natural Science), Vol. 61(5), pp. 513–519, 2022.
JFD2022b Automatic audio annotation system based on transfer learning and reinforcement learning (In Chinese)
Gengyun Chen, Shengchen Li, Xi Shao, Xinhao Mei, Xubo Liu, Qiushi Huang, Wenwu Wang. Journal of Fudan University (Natural Science), Vol. 61(5), pp. 520–526, 2022.
ICSPML2022 Wireless Radar Breath Detection with Empirical Mode Decomposition Method
Ziyuan Yin, Shengchen Li. 5th International Conference on Signal Processing and Machine Learning (SPML), pp. 226–233, Dalian, China, 2022.
IJIS2022 Error Model and Simulation for Multisource Fusion Indoor Positioning
Haojun Ai, Jingjie Tao, Shan Ai, Tianshui Xu, Ning Li, Kaifeng Tang, Sheng Zhang, Yuhong Yang, Shengchen Li. International Journal of Intelligent Systems (IJIS), Vol. 37, pp. 2219–2241, 2022.
IJIS2022b Exploring RSSI Series Representation and Attention Model for Indoor Positioning
Haojun Ai, Xu Sun, Jingjie Tao, Mengyun Liu, Shengchen Li, Xi Shao. International Journal of Intelligent Systems (IJIS), Vol. 37, pp. 4065–4091, 2022.

2021

Frontiers2021 Unsupervised Phonocardiogram Analysis With Distribution Density Based Variational Auto-Encoders
Shengchen Li, Ke Tian. Frontiers in Medicine (FMed), Vol. 8, p. 1071, 2021.
ICASSP2021 Unsupervised Heart Abnormality Detection Based on Phonocardiogram Analysis with Beta Variational Auto-Encoders
Shengchen Li, Ke Tian, Rui Wang. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8353–8357, Toronto, 2021.
CSMT2021 A Novel Dataset for the Identification of Computer Generated Melodies in the CSMT Challenge
Shengchen Li, Yinji Jing, Gyorgy Fazekas. 8th Conference on Sound and Music Technology (CSMT), pp. 177–186, 2021.
CSMT2021a Two-Stage Classification Learning for Open Set Acoustic Scene Classification
Chunxia Ren, Shengchen Li. 8th Conference on Sound and Music Technology (CSMT), pp. 124–133, 2021.
CSMT2021b Adversarial Domain Adaptation for Open Set Acoustic Scene Classification
Chunxia Ren, Shengchen Li. 8th Conference on Sound and Music Technology (CSMT), pp. 93–104, 2021.
JFD2021a Unsupervised Detection of Anomalous Sounds for Machine Based on Auto-Encoder (In Chinese)
Chenxu Zhang, Shengchen Li, Xi Shao. Journal of Fudan University (Natural Science), Vol. 60(3), pp. 297–302, 2021.
JFD2021b Unsupervised Detection of Anomalous Sounds for Machine Based on Dictionary Learning (In Chinese)
Yao Yao, Shengchen Li, Xi Shao. Journal of Fudan University (Natural Science), Vol. 60(3), pp. 303–308, 2021.
DCASE2021 An Encoder-Decoder Based Audio Captioning System With Transfer and Reinforcement Learning
Xinhao Mei, Qiushi Huang, Xubo Liu, Gengyun Chen, Jingqian Wu, Yusong Wu, Jinzheng Zhao, Shengchen Li, Tom Ko, Lilian Tang, Xi Shao, Mark D. Plumbley, Wenwu Wang. 6th Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, pp. 206–210, Barcelona, Spain, 2021.

2020

DCASE2020 Audio Captioning Based on Transformer and Pre-Trained CNN
Kun Chen, Yusong Wu, Ziyue Wang, Xuan Zhang, Fudong Nian, Shengchen Li, Xi Shao. 5th Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, pp. 21–25, Online, 2020.
INTERSPEECH2020a Transfer Learning for Improving Singing-Voice Detection in Polyphonic Instrumental Music
Yuanbo Hou, Frank Soong, Jian Luan, Shengchen Li. Annual Conference of the International Speech Communication Association (INTERSPEECH), Shanghai, China, 2020.
INTERSPEECH2020b Peking Opera Synthesis via Duration Informed Attention Network
Yusong Wu, Shengchen Li, Chengzhu Yu, Heng Lu, Chao Weng, Liqiang Zhang, Dong Yu. Annual Conference of the International Speech Communication Association (INTERSPEECH), Shanghai, China, 2020.
JFD2020 An Introduction to a Symbolic Music Dataset of Chinese Guqin Pieces and Its Application Example (In Chinese)
Shengchen Li, Yusong Wu. Journal of Fudan University (Natural Science), Vol. 59(3), pp. 276–285, 2020.

2019

DCASE2019 Self-attention Mechanism based System for DCASE2018 Challenge Task 1 and Task 4
Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, pp. 1–5, 2019.
CMMR2019 Distinguishing Chinese Guqin and Western Baroque Pieces Based on Statistical Model Analysis of Melodies
Yusong Wu, Shengchen Li. 14th International Symposium on Computer Music Multidisciplinary Research (CMMR), pp. 931–942, Marseille, France, 2019.
ICMEW2019a SVD-Based Channel Pruning for CNN in Acoustic Scene Classification Model
Jun Wang, Shengchen Li, Wenwu Wang. IEEE International Conference on Multimedia and Expo Workshops (ICMEW), pp. 390–395, Shanghai, China, 2019.
ICMEW2019b Multi-Level Attention Model with Deep Scattering Spectrum for Acoustic Scene Classification
Zhitong Li, Yuanbo Hou, Xiang Xie, Shengchen Li, Liqiang Zhang, Shixuan Du, Wei Liu. IEEE International Conference on Multimedia and Expo Workshops (ICMEW), pp. 396–401, Shanghai, China, 2019.
ICASSP2019 Sound Event Detection with Sequentially Labelled Data based on CTC and Unsupervised Clustering
Yuanbo Hou, Qiuqiang Kong, Shengchen Li, Mark D. Plumbley. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 46–50, Brighton, UK, 2019.
CSMT2019 A Comparison of Melody Created by AI and Human Based on Mathematical Model
Ziming Li and Shengchen Li. 6th Conference on Sound and Music Technology (CSMT), pp. 121–130, Harbin, China, 2019.

2018

CSMT2018a Bird Sound Detection Based on Binarized CNNs
Jia’anan Song, Shengchen Li. 5th Conference on Sound and Music Technology (CSMT), pp. 63–71, Springer, 2018.
CSMT2018b A Comparison of Attention Mechanisms of CNN in Weakly Labelled Audio Tagging
Yuanbo Hou, Qiuqiang Kong, Shengchen Li. 5th Conference on Sound and Music Technology (CSMT), pp. 85–96, Springer, 2018.
CSMT2018c A Standard MIDI File Steganography Based on Music Perception in Note Duration
Lei Guan, Yinji Jing, Shengchen Li, Ru Zhang. 5th Conference on Sound and Music Technology (CSMT), pp. 99–107, Springer, 2018.
DCASE2018a Polyphonic Audio Tagging with Sequentially Labelled Data Using CRNN with Learnable GLUs
Yuanbo Hou, Qiuqiang Kong, Jun Wang, Shengchen Li. 3rd Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, pp. 78–82, Woking, UK, 2018.
AET2018 A Low Power and High-Speed Decoder Design Based on FPGA (In Chinese)
Songjiang Zhou, Shengchen Li, Ming Liu. Application of Electronic Techniques (AET), Vol. 44(4), pp. 27–32, 2018.
JFD2018 Research of Energy Distributions of Violin Harmonics Based on Mathematical Models (In Chinese)
Bo Yang, Shengchen Li, Baoqiang Han. Journal of Fudan University (Natural Science), Vol. 57(3), pp. 314–319, 2018.
CSPS2018 Audio Tagging with CTC Model Using Sequential Labelled Data
Yuanbo Hou, Qiuqiang Kong, Shengchen Li. Conference on Signal Processing and Smart Systems (CSPS), pp. 955–964, Dalian, China, 2018.
CCC2018 A Demonstration of Hierarchical Structure Usage in Expressive Timing Analysis
Shengchen Li, Simon Dixon, Mark D. Plumbley. Chinese Control Conference (CCC), pp. 3190–3195, Wuhan, China, 2018.
ICASSP2018 Comparing the Influence of Depth and Width of DNN Based on Fixed Parameters for Audio Event Detection
Jun Wang, Shengchen Li. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2681–2685, Calgary, Canada, 2018.

Earlier

ISMIR2017 Clustering Expressive Timing with Regressed Polynomial Coefficients
Shengchen Li, Simon Dixon, Mark D. Plumbley. International Society for Music Information Retrieval (ISMIR), pp. 457–467, Suzhou, China, 2017.
SMC2016 A Model Selection Test for Factors Affecting the Choice of Expressive Timing Clusters
Shengchen Li et al. 13th Sound and Music Computing Conference (SMC), pp. 247–252, Hamburg, Germany, 2016.
CMMR2015 The Clustering of Expressive Timing within a Phrase in Classical Piano Performances by GMMs
Shengchen Li, Dawn A. A. Black, Mark D. Plumbley. International Symposium on Computer Music Multidisciplinary Research (CMMR), LNCS 9617, pp. 322–345, Plymouth, UK, 2015.
ICMPC2014 Evidence that Phrase-Level Tempo Variation May be Represented Using a Limited Dictionary
Shengchen Li, Dawn A. A. Black, Elaine Chew and Mark D. Plumbley. International Conference on Music Perception and Cognition (ICMPC), pp. 413–419, Seoul, South Korea, 2014.
JoS2012 Competitive business model in audio-book industry: a case of China
Dan Liu, Shengchen Li, Tianchi Yang. Journal of Software, Vol. 7, pp. 33–40, 2012.
AMR2011 An Enhanced Business Model in Audio-Book Industry
Dan Liu, Shengchen Li, Hui Chen. Advanced Materials Research, Vol. 204–210, pp. 1066–1069, 2011.

64 publications across machine listening, music AI, and audio security.