复旦大学 English

李伟
教授

个人信息Personal Information

电子邮箱：weili-fudan@fudan.edu.cn

学位：博士学位

职称：教授

学科：计算机应用技术

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科研文章

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音乐科技、音乐人工智能、计算机听觉领域文理科相关期刊会议列表

Selected Publications


  1. Xiaoliang He, Kangjie Dong, Jingkai Cao, Shuai Yu, Wei Li, Yi Yu, “A Mamba-based Network for Semi-supervised Singing Melody Extraction Using Confidence Binary Regularization”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025. (音频领域顶级国际会议, EI)

  2. Jun Liu, Kangjie Dong, Qiubo Huang, Shuai Yu, Wei Li, “Ultra Lightweight Singing Melody Extraction via Combination of Convolution and MLP”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025. (音频领域顶级国际会议, EI)

  3. Shijie Zhang, Yulun Wu, Ganghui Ru, Yi Yu, Wei Li, “KCE-Unet: A Novel Music Denoising Method With Kanconv ECA Unet”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025. (音频领域顶级国际会议, EI)

  4. Zhicheng Zhang, Ganghui Ru, Wei Li, “BeatKAN: An Efficient and Drum-Attuned Beat Tracking Method Using Kolmogorov-Arnold Networks”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025. (音频领域顶级国际会议, EI)

  5. Shenyang Xu, Yuan Wang, Zijin Li, Feng Yu and Wei Li, “Leveraging Timbre Semantic Descriptors for Cross-Dataset Instrument Recognition”, IEEE Transactions on Audio, Speech and Language Processing (TASLP), Vol. 33, 2025, pp. 1196-1207. (音频领域顶级国际期刊, SCI/EI)

  6. Monan Zhou, Shenyang Xu, Zhaorui Liu, Zhaowen Wang, Feng Yu, Wei Li, Baoqiang Han, “CCMusic: an Open and Diverse Database for Chinese and General Music Information Retrieval Research”, Transactions of the International Society for Music Information Retrieval (TISMIR), 2025, pp. -. (音乐人工智能领域顶级国际期刊)

  7. Jiwei Zhang, Yi Yu, Suhua Tang, Wei Li, "Adversarial Contrastive Autoencoder with Shared Attention for Audio-Visual Correlation Learning", IEEE Access, 2025, Vol. 13, pp. 39753-39764.

  8. Ganghui Ru, Jieying Wang, Jiahao Zhao, Yulun Wu, Yi Yu, Nannan Jiang, Wei Wang, Wei Li, “BeatFM: Improving Beat Tracking with Pre-trained Music Foundation Model”, IEEE International Conference on Multimedia and Expo (ICME), 2025. (多媒体领域重要国际会议, EI)

  9. Ganghui Ru, Jieying Wang, Jiahao Zhao, Yulun Wu, Yi Yu, Nannan Jiang, Wei Wang, Wei Li, “HingeNet: A Harmonic-Aware Fine-Tuning Approach for Beat Tracking”, IEEE International Conference on Multimedia and Expo (ICME), 2025. (多媒体领域重要国际会议, EI)

  10. Dichucheng Li, Yinghao Ma, Weixing Wei, Qiuqiang Kong, Yulun Wu, Mingjin Che, Fan Xia, Emmanouil Benetos, Wei Li, “MERTECH: Instrument Playing Technique Detection Using Self-Supervised Pretrained Model With Multi-Task Finetuning”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024, pp. 521-525. (音频领域顶级国际会议, EI)

  11. Shuai Yu, Jun Liu, Yi Yu, Wei Li, “A Scalable Sparse Transformer Model For Singing Melody Extraction”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024, pp. 1071-1075. (音频领域顶级国际会议, EI)

  12. Yifu Sun, Xulong Zhang, Monan Zhou, Wei Li, “Semi-supervised Self-Learning Enhanced Music Emotion Recognition”, Conference on Sound and Music Technology (CSMT 2023), Springer LNEE (Lecture Notes in Electrical Engineering), 2025, pp. -. (CSMT 2023最佳论文，CSMT 2024会刊, 中国音乐科技与计算机听觉权威会议, EI)

  13. Chenxu Zhang, Wei Li, “Online Joint Beat and Downbeat Tracking with Time Series Forecasting Model”, Conference on Sound and Music Technology (CSMT 2024), Springer LNEE (Lecture Notes in Electrical Engineering), 2025, pp. -. (CSMT 2024会刊, 中国音乐科技与计算机听觉权威会议, EI)

  14. Yuxiang Hua, Wei Li, “Meta-Learning for Domain Generalization in Anomalous Sound Detection”, Conference on Sound and Music Technology (CSMT 2024), Springer LNEE (Lecture Notes in Electrical Engineering), 2025, pp. -. (CSMT 2024会刊, 中国音乐科技与计算机听觉权威会议, EI)

  15. Shengmin He, Wei Li, “Enhanced Music Denoising in Pubs with Efficient Channel Attention”, Conference on Sound and Music Technology (CSMT 2024), Springer LNEE (Lecture Notes in Electrical Engineering), 2025, pp. -. (CSMT 2024会刊, 中国音乐科技与计算机听觉权威会议, EI)

  16. Yulun Wu, Weixing Wei, Dichucheng Li, Mengbo Li, Yi Yu, Yongwei Gao, Wei Li,“Harmonic Frequency-Separable Transformer for Instrument-agnostic Music Transcription”, IEEE International Conference on Multimedia and Expo (ICME), 2024. (多媒体领域重要国际会议, EI)

  17. Si Li, Jiaxing Liu, Peilin Li, Dichucheng Li, Xinlu Liu, Yongwei Gao, Wei Li, “Improving Drum Source Separation With Temporal-Frequency Statistical Descriptors”, IEEE International Conference on Multimedia and Expo (ICME), 2024. (多媒体领域重要国际会议, EI)

  18. Shuai Yu, Yi Yu, Xiaoheng Sun, Wei Li, “A Neural Harmonic-Aware Network with Gated Attentive Fusion for Singing Melody Extraction”, Neurocomputing, 2023, pp. 160-171. (SCI/EI)

  19. Jiale Qian, Xinlu Liu, Yi Yu, Wei Li, “Stripe-Transformer: Deep Stripe Feature Learning for Music Source Separation”, EURASIP Journal on Audio, Speech, and Music Processing (EURASIP JASMP), 2023. (音频领域权威国际期刊, SCI/EI)

  20. Dichucheng Li, Mingjin Che, Wenwu Meng, Yulun Wu, Yi Yu, Fan Xia, Wei Li, “Frame-Level Multi-Label Playing Technique Detection Using Multi-Scale Network and Self-Attention Mechanism”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023. (音频领域顶级国际会议, EI)

  21. Yulun Wu, Jiahao Zhao, Yi Yu, Wei Li, “MFAE: Masked Frame-Level Features Autoencoder with Hybrid-Supervision for Low-Resource Music Transcription”, IEEE International Conference on Multimedia and Expo (ICME), 2023, pp. 1109-1114. (多媒体领域重要国际会议, EI)

  22. Xinlu Liu, Jiale Qian, Qiqi He, Yi Yu, Wei Li, “LC-Beating: An Online System for Beat and Downbeat Tracking Using Latency-Controlled Mechanism”, IEEE International Conference on Multimedia and Expo (ICME), 2023, pp. 1098-1103. (多媒体领域重要国际会议, EI)

  23. Zitong Li, Wei Li, “MOSLight: A Lightweight Data-Efficient System for Non-Intrusive Speech Quality Assessment”, Annual Conference of the International Speech Communication Association (InterSpeech), 2023, pp. 5386-5390. (语音领域顶级国际会议)

  24. 李伟，夏凡，李子晋，河异旻，李圣辰，“音乐人工智能的研究进展与趋势”，CCF 2021-2022中国计算机科学技术发展报告，中国计算机学会文集，中国计算机学会编，机械工业出版社，2023.5, pp. 244-319. (音乐人工智能领域大型综述，76页，409篇文献)

  25. Xu Gan, Yifei Wu, Xinlu Liu, Ruilei Duan, Wei Li, “DiffTimb: Diffusion Models for Many-to-Many Timbre Transfer”, Conference on Sound and Music Technology (CSMT 2023), Springer LNEE 1268 (Lecture Notes in Electrical Engineering), 2024, pp. 127-140. (CSMT 2023会刊, 中国音乐科技与计算机听觉权威会议, EI)

  26. Si Li, Yuanfeng Jiang, Zhaowen Wang, Wei Li, ”Multiband Kick Drum Separation with Genre-guided Optimization”, Conference on Sound and Music Technology (CSMT 2023), Springer LNEE 1268 (Lecture Notes in Electrical Engineering), 2024, pp. 113-126. (CSMT 2023会刊, 中国音乐科技与计算机听觉权威会议, EI)

  27. Monan Zhou, Shangda Wu, Shaohua Ji, Zijin Li, Wei Li, ”A Holistic Evaluation of Piano Sound Quality”, Conference on Sound and Music Technology (CSMT 2023), Springer LNEE 1268 (Lecture Notes in Electrical Engineering), 2024, pp. 3-17. (CSMT 2023会刊, 中国音乐科技与计算机听觉权威会议, EI)

  28. Peilin Li, Weixing Wei, Jiahao Zhao, Wei Li, “Double-Mix-Net: A Multimodal Music Emotion Recognition Network with Multi-Layer Feature Mixing”, Conference on Sound and Music Technology (CSMT 2023), Springer LNEE 1268 (Lecture Notes in Electrical Engineering), 2024, pp. 31-43. (CSMT 2023会刊, 中国音乐科技与计算机听觉权威会议)

  29. Yifei Wu, Xinlu Liu, Xu Gan, Wei Li, “XBeat: A Hybrid CNN-Transformer Model for Beat and Downbeat Tracking”, Conference on Sound and Music Technology (CSMT 2023), Springer LNEE 1268 (Lecture Notes in Electrical Engineering), 2024, pp. 59-71. (CSMT 2023会刊, 中国音乐科技与计算机听觉权威会议, EI)

  30. Jiwei Zhang, Yi Yu, Suhua Tang, Wei Li, Jianming Wu, “Multi-Scale Network with Shared Cross Attention for Audio-Visual Correlation Learning,” Neural Computing and Applications, 2023, pp. 20173–20187. (SCI/EI)

  31. Jiwei Zhang, Yi Yu, Suhua Tang, Jianming Wu, Wei Li, "Variational Autoencoder with CCA for Audio-Visual Cross-Modal Retrieval", ACM Transactions on Multimedia Computing Communications and Applications. (ACM TOMCCA), 2023. (多媒体领域重要期刊, SCI/EI)

  32. Wei Duan, Yi Yu, Xulong Zhang, Suhua Tang, Wei Li, Keizo Oyama, "Melody Generation from Lyrics with Local Interpretability", ACM Transactions on Multimedia Computing Communications and Applications (ACM TOMCCA), 2023. (多媒体领域重要期刊, SCI/EI)

  33. Yifu Sun, Xulong Zhang, Xi Chen, Yi Yu, Wei Li, “Investigation of Singing Voice Separation for Singing Voice Detection in Polyphonic Music”, Conference on Sound and Music Technology (CSMT 2021), Springer LNEE 923 (Lecture Notes in Electrical Engineering), 2022, pp. 79-90. (CSMT 2021会刊, 中国音乐科技与计算机听觉权威会议, EI, 最佳学生论文)

  34. Jiale Qian, Yongwei Gao, Weixing Wei, Jiahao Zhao, Wei Li, “Sepmlp: An All-MLP Architecture for Music Source Separation”, Conference on Sound and Music Technology (CSMT 2021), Springer LNEE 923 (Lecture Notes in Electrical Engineering), 2022, pp. 31-41. (CSMT 2021会刊, 中国音乐科技与计算机听觉权威会议, EI)

  35. Jiahao Zhao, Yulun Wu, Liang Wen, Lianhang Ma, Linping Ruan, Wantao Wang, Wei Li, “Improving Automatic Piano Transcription by Refined Feature Fusion and Weighted Loss”, Conference on Sound and Music Technology (CSMT 2021), Springer LNEE 923 (Lecture Notes in Electrical Engineering), 2022, pp. 43-53. (CSMT 2021会刊, 中国音乐科技与计算机听觉权威会议, EI)

  36. Weixing Wei, Liang Wen, Jiale Qian, Yufei Shan, Jun Wang, Wei Li, “Improving Pathological Voice Detection: A Weakly Supervised Learning Method”, Conference on Sound and Music Technology (CSMT 2021), Springer LNEE 923 (Lecture Notes in Electrical Engineering), 2022, pp. 105-115. (CSMT 2021会刊, 中国音乐科技与计算机听觉权威会议, EI)

  37. Shenyang Xu, Yiliang Jiang, Zijin Li, Xiaoheng Sun, Wei Li, “A Multitask Learning Approach for Chinese National instruments Recognition and Timbre Space Regression”, Conference on Sound and Music Technology (CSMT 2021), Springer LNEE 923 (Lecture Notes in Electrical Engineering), 2022, pp. 3-13. (CSMT 2021会刊, 中国音乐科技与计算机听觉权威会议, EI)

  38. Ke Chen, Shuai Yu, Cheng-i Wang, Wei Li, Taylor Berg-Kirkpatrick, Shlomo Dubnov, ”TONET: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022, pp. 621-625. (音频领域顶级国际会议, EI)

  39. Shuai Yu, Yiwei Ding, Kun Qian, Bin Hu, Wei Li, Bjoern Schuller, ”A Glance-and-gaze Network for Respiratory Sound Classification”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022, pp. 9007-9011. (音频领域顶级国际会议, EI)

  40. Shuai Yu, Xi Chen, Wei Li, ”Hierarchical Graph-based Neural Network for Singing Melody Extraction”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022, pp. 626-630. (音频领域顶级国际会议, EI)

  41. Qiqi He, Xiaoheng Sun, Yi Yu, Wei Li, ”DeepChorus: A Hybrid Model of Multi-scale Convolution and Self-attention for Chorus Detection”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022, pp. 411-415. (音频领域顶级国际会议, EI)

  42. Weixing Wei, Peilin Li, Yi Yu, Wei Li, “HarmoF0: Logarithmic Scale Dilated Convolution For Pitch Estimation”, IEEE International Conference on Multimedia and Expo (ICME), 2022. (多媒体领域重要国际会议, EI)

  43. Jiahao Zhao, Ganghui Ru, Yi Yu, Yulun Wu, Dichucheng Li, Wei Li, “Multimodal Music Emotion Recognition With Hierarchical Cross-Modal Attention Network”, IEEE International Conference on Multimedia and Expo (ICME), 2022. (多媒体领域重要国际会议, EI)

  44. 李伟，王鑫主编，“音频音乐与计算机的交融-音频音乐技术2”，2022年1月，复旦大学出版社，页数：421页，ISBN：978-7-309-15990-5/J.466，字数：855千字

  45. 任伟鑫，车明锦，汪照文，夏凡，孟文武，李沁雨，胡佳弋，李伟，"CNPM Database：一个用于计算音乐学的中国民族五声调式音乐数据库"，第九届全国声音与音乐技术会议(CSMT 2022)，复旦学报(自然科学版)，2022，62(5): 555-563.

  46. Weixing Wei, Peilin Li, Yi Yu, Wei Li, "HPPNet: Modeling the Harmonic Structure and Pitch Invariance in Piano Transcription", International Society of Music Information Retrieval Conference (ISMIR), 2022, pp. 709-716. (音乐人工智能领域顶级国际会议)

  47. Zhaowen Wang, Mingjin Che, Yue Yang, Wenwu Meng, Qinyu Li, Fan Xia, Wei Li, "Automatic Chinese National Pentatonic Modes Recognition Using Convolution Neural Network", International Society of Music Information Retrieval Conference (ISMIR), 2022, pp. 345-352. (音乐人工智能领域顶级国际会议)

  48. Dichucheng Li, Yulun Wu, Qinyu Li, Jiahao Zhao, Yi Yu, Fan Xia, Wei Li, "Playing Technique Detection by Fusing Note Onset Information in Guzheng Performance", International Society of Music Information Retrieval Conference (ISMIR), 2022, pp. 314-320. (音乐人工智能领域顶级国际会议)

  49. Abhishek Srivastava, Wei Duan, Rajiv Ratn. Shah, Jianming Wu, Suhua Tang, Wei Li, Yi Yu, “Melody Generation from Lyrics Using Three Branch Conditional LSTM-GAN”, International Conference on MultiMedia Modeling (MMM), Springer LNCS 13141 (Lecture Notes in Computer Science), 2022, pp. 569–581. (EI)

  50. Xi Chen, Yongwei Gao, Wei Li, “Singing Voice Detection via Similarity-based Semi-supervised Learning”, ACM Multimedia Asia Conference (MM Asia), 2022, pp. -. (EI)

  51. Andi Pan, Xi Chen, Wei Li, “Recognition of Underwater Acoustic Target Using Sub-Pretrained Convolutional Neural Networks”, Conference on Sound and Music Technology (CSMT 2020), Springer LNEE 761 (Lecture Notes in Electrical Engineering), 2021, pp. 113-122. (CSMT 2020会刊, 中国音乐科技与计算机听觉权威会议, EI)

  52. Zhengyu Cao, Yongwei Gao, Wei Li, “Chorus Detection Using Music Structure Analysis”, Conference on Sound and Music Technology (CSMT 2020), Springer LNEE 761 (Lecture Notes in Electrical Engineering), 2021, pp. 3-17. (CSMT 2020会刊, 中国音乐科技与计算机听觉权威会议)

  53. Xi Chen, Lei Wang, Andi Pan, Wei Li, “Channel-Wise Attention Mechanism in Convolutional Neural Networks for Music Emotion Recognition”, Conference on Sound and Music Technology (CSMT 2020), Springer LNEE 761 (Lecture Notes in Electrical Engineering), 2021, pp. 43-54. (CSMT 2020会刊, 中国音乐科技与计算机听觉权威会议)

  54. Shuai Yu, Xiaoheng Sun, Yi Yu, Wei Li, “Frequency-Temporal Attention Network for Singing Melody Extraction”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021, pp. 251-255. (音频领域顶级国际会议, EI)

  55. Yongwei Gao, Xingjian Du, Bilei Zhu, Xiaoheng Sun, Wei Li, Zejun Ma, “A HRNET-BLSTM Model With Two-Stage Training for Singing Melody Extraction”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021, pp. 56-60. (音频领域顶级国际会议, EI)

  56. Xulong Zhang, Jiale Qian, Yi Yu, Yifu Sun, Wei Li, “Singer Identification Using Deep Timbre Feature Learning With KNN-Net”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021, pp. 3380-3384. (音频领域顶级国际会议, EI)

  57. Yongwei Gao, Xulong Zhang, Wei Li, "Vocal Melody Extraction Via Hrnet-Based Singing Voice Separation and Encoder-Decoder-Based F0 Estimation", Electronics, Special Issue: Machine Learning Applied To Music/Audio Signal Processing, 2021, 10(298), pp. 1-14. (SCI/EI)

  58. Shuai Yu, Yi Yu, Xi Chen, Wei Li, “HANME: Hierarchical Attention Network for Singing Melody Extraction”, IEEE Signal Processing Letters (SPL), Vol. 28, 2021, pp. 1006-1010. (SCI/EI, 信号处理领域重要国际期刊)

  59. Xiaoheng Sun, Qiqi He, Yongwei Gao, Wei Li, "Musical Tempo Estimation Using A Multi-Scale Network", International Society of Music Information Retrieval Conference (ISMIR), 2021, pp. 682-689. (音乐人工智能领域顶级国际会议)

  60. Xiaoheng Sun, Yiliang Jiang, Wei Li, “Residual Attention Based Network for Automatic Classification of Phonation Modes”, IEEE International Conference on Multimedia and Expo (ICME), 2020, pp. 1-6. (多媒体领域重要国际会议, EI)

  61. 江益靓，孙校珩，梁晓晶，李子晋，李伟，"基于客观特征的民族乐器音色分析"，第七届全国声音与音乐技术会议(CSMT 2019)，复旦学报(自然科学版)，2020，59(3): 346-353.

  62. Xulong Zhang, Shengchen Li, Zijin Li, Shizhe Chen, Wei Li, "Singing Voice Detection Using Multi-Feature Deep Fusion With CNN", Conference on Sound and Music Technology (CSMT 2019), Springer LNEE 635 (Lecture Notes in Electrical Engineering), 2020, pp. 41-52. (CSMT 2019会刊, 中国音乐科技与计算机听觉权威会议, EI)

  63. Lei Wang, Hongning Zhu, Xulong Zhang, Shengchen Li, Wei Li, "Transfer Learning for Music Classification and Regression Tasks Using Artist Tags", Conference on Sound and Music Technology (CSMT 2019), Springer LNEE 635 (Lecture Notes in Electrical Engineering), 2020, pp. 81-89. (CSMT 2019会刊, 中国音乐科技与计算机听觉权威会议, EI)

  64. Zhengyu Cao, Xiangyi Feng, Wei Li, "A Multi-Task Learning Approach for Melody Extraction", Conference on Sound and Music Technology (CSMT 2019), Springer LNEE 635 (Lecture Notes in Electrical Engineering), 2020, pp. 53-65. (CSMT 2019会刊, 中国音乐科技与计算机听觉权威会议, EI)

  65. Xulong Zhang, Yi Yu, Yongwei Gao, Xi Chen, Wei Li, "Research on Singing Voice Detection Based on A Long-Term Recurrent Convolutional Network With Vocal Separation and Temporal Smoothing", Electronics, Special Issue: Machine Learning Applied To Music/Audio Signal Processing, 2020, 9, 1458, pp. 1-23. (SCI/EI)

  66. Kun Qian, Xiao Li, Haifeng Li, Shengchen Li, Wei Li, Zuoliang Ning, Shuai Yu, Limin Hou, Gang Tang, Jing Lu, Feng Li, Shufei Duan, Chengcheng Du, Yao Cheng, Yujun Wang, Lin Gan, Yoshiharu Yamamoto and Björn W. Schuller, “Computer Audition for Healthcare: Opportunities and Challenges”, Frontiers in Digital Health, Vol. 2, 2020, pp. 1-4.

  67. Yiming Wu, Wei Li, "Automatic Audio Chord Recognition With MIDI-Trained Deep Feature and BLSTM-CRF Sequence Decoding Model", IEEE-ACM Transactions on Audio, Speech and Language Processing (TASLP), Vol. 27, No. 2, 2019, pp. 355-366. (音频领域顶级国际期刊, SCI/EI)

  68. Yongwei Gao, Bilei Zhu, Wei Li, Ke Li, Yongjian Wu, Feiyue Huang, “Vocal Melody Extraction Via DNN-Based Pitch Estimation and Salience-Based Pitch Refinement”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019, pp. 1000-1004. (音频领域顶级国际会议, EI)

  69. 李伟，李硕，“理解数字声音-基于一般音频/环境声的计算机听觉综述”，第六届全国声音与音乐技术会议(CSMT 2018)，复旦学报(自然科学版)，2019，58(3): 269-313. (计算机听觉领域大型综述，45页，399篇文献)

  70. Xulong Zhang, Yiliang Jiang, Jin Deng, Juanjuan Li, Mi Tian, Wei Li, “A Novel Singer Identification Method Using GMM-UBM”, Conference on Sound and Music Technology (CSMT 2018), Springer LNEE 568 (Lecture Notes in Electrical Engineering), 2019, pp. 3-14. (CSMT 2018会刊, 中国音乐科技与计算机听觉权威会议, EI)

  71. Yongwei Gao, Yichun Shen, Xulong Zhang, Shuai Yu, Wei Li, “Music Summary Detection With State Space Embedding and Recurrence Plot”, Conference on Sound and Music Technology (CSMT 2018), Springer LNEE 568 (Lecture Notes in Electrical Engineering), 2019, pp. 41-51. (CSMT 2018会刊, 中国音乐科技与计算机听觉权威会议, EI)

  72. Zhigao Chen, Xulong Zhang, Jin Deng, Juanjuan Li, Yiliang Jiang, Wei Li, “A Practical Singing Voice Detection System Based on GRU-RNN”, Conference on Sound and Music Technology (CSMT 2018), Springer LNEE 568 (Lecture Notes in Electrical Engineering), 2019, pp. 15-25. (CSMT 2018会刊, 中国音乐科技与计算机听觉权威会议, EI, 最佳学生论文)

  73. Xiaojing Liang, Zijin Li, Jingyu Liu, Wei Li, Jiaxing Zhu, Baoqiang Han, “Constructing a Multimedia Chinese Musical Instrument Database”, Conference on Sound and Music Technology (CSMT 2018), Springer LNEE 568 (Lecture Notes in Electrical Engineering), 2019, pp. 53-60. (CSMT 2018会刊, 中国音乐科技与计算机听觉权威会议, EI)

  74. Yiliang Jiang, Xulong Zhang, Jin Deng, Wenqiang Zhang, Wei Li, “Data Augmentation Based Convolutional Neural Network for Auscultation”, 第六届全国声音与音乐技术会议(CSMT 2018, 中国音乐科技与计算机听觉权威会议), 复旦学报(自然科学版), 2019, 58(3): 328-334. 

  75. Yongwei Gao, Yichun Shen, Yiming Wu, Xulong Zhang, Shuai Yu, Wei Li, “A Method for Detecting Short Similar Segments in Music Segments in Music Borrowing”, 第六届全国声音与音乐技术会议(CSMT 2018, 中国音乐科技与计算机听觉权威会议), 复旦学报(自然科学版), 2019, 58(3): 320-327.

  76. Junyan Jiang, Ke Chen, Wei Li, Gus Xia, “Large-Vocabulary Chord Transcription Via Chord Structure Decomposition”, International Society of Music Information Retrieval Conference (ISMIR), 2019, pp. 644-651. (音乐人工智能领域顶级国际会议)

  77. Wei Li, Shengchen Li, Xi Shao, Zijin Li, "Proceedings of The 6th Conference on Sound and Music Technology (CSMT)", Revised Selected Papers, Springer Lecture Notes in Electrical Engineering (LNEE 568), 2019.

  78. 李伟，李子晋，邵曦主编，“音频音乐与计算机的交融-音频音乐技术”，2019年12月，复旦大学出版社，页数：468页，ISBN：978-7-309-14769-8/J.416，字数：895千字

  79. Yiming Wu, Wei Li, “Music Chord Recognition Based on MIDI-Trained Deep Feature and BLSTM-CRF Hybrid Decoding”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018, pp. 376-380. (音频领域顶级国际会议, EI)

  80. 李伟，李子晋，高永伟，“理解数字音乐-音乐信息检索技术综述”，第五届全国声音与音乐技术会议(CSMT 2017)特约报告，复旦学报(自然科学版)，2018，57(3): 271-313. (MIR领域大型综述，43页，335篇文献)

  81. Junyan Jiang, Ke Chen, Wei Li, Guangyu Xia, “A Structural Chord Representation for Automatic Large-Vocabulary Chord Transcription”, Music Information Retrieval Evaluation Exchange (MIREX), 2018. (音乐人工智能领域权威国际竞赛)

  82. 李伟，高智辉，“音乐信息检索技术：音乐与人工智能的融合”，艺术探索，2018，32(5): 12-116

  83. Ning Chen, Wei Li, Haidong Xiao, “Fusing Similarity Functions for Cover Song Identification”, Multimedia Tools & Applications, 2017, pp. 1-24. (SCI/EI)

  84. 李伟，冯相宜，吴益明，张旭龙，“流行音乐主旋律提取技术综述”，计算机科学，2017，44(5): 1-5. 

  85. Yiming Wu, Xiangyi Feng, Wei Li, “Automatic Audio Chord Recognition With MIDI-Trained Deep Feature and BLSTM-CRF Sequence Decoding Model”, Music Information Retrieval Evaluation Exchange (MIREX), 2017. (音乐人工智能领域权威国际竞赛)

  86. Junyan Jiang, Wei Li, Yiming Wu, “Chord Recognition Using Random forest Model”, Music Information Retrieval Evaluation Exchange (MIREX), 2017. (音乐人工智能领域权威国际竞赛)

  87. Wei Li, Xiangyi Feng, Min Xue, “Reducing Manual Labeling in Singing Voice Detection: An Active Learning Approach”, IEEE International Conference on Multimedia and Expo (ICME), 2016, pp. 1-5. (多媒体领域重要国际会议, EI)

  88. Chi Zhang, Xiaoqiang Li, Wei Li, Peizhong Lu, Wenqiang Zhang, “A Novel I-Vector Framework Using Multiple Features and PCA for Speaker Recognition in Short Speech Condition”. IEEE International Conference on Audio, Language and Image Processing (ICALIP, EI), 2016.

  89. Xiu Zhang, Wei Li, Bilei Zhu, “Latent Time-Frequency Component Analysis: A Novel Pitch-Based Approach for Singing Voice Separation”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015, pp. 131-135. (音频领域顶级国际会议, EI)

  90. Xiu Zhang, Bilei Zhu, Linwei Li, Wei Li, Xiaoqiang Li, Wei Wang, Peizhong Lu, Wenqiang Zhang, “SIFT-Based Local Spectrogram Image Descriptor: A Novel Feature for Robust Music Identification“, EURASIP Journal on Audio Speech and Music Processing (EURASIP JASMP), 2015, pp. 1-15. (音频领域权威国际期刊, SCI/EI)

  91. Bilei Zhu, Wei Li, Linwei Li, "Towards Solving The Bottleneck of Pitch-Based Singing Voice Separation", ACM International Multimedia Conference (ACM MM), 2015, pp. 511-520. (多媒体领域顶级国际会议, EI)

  92. Wei Li, Bilei Zhu, Chuan Xiao, Yaduo Liu, “Using Low-Order Auditory Zernike Moments for Robust Music Identification in The Compressed Domain”, Book Chapter: Moments and Moment invariants - Theory and Applications, Science Gate Publishing, 2014, GCSR Vol.1, Chapter 9, pp. 207-226. Http: //Sciencegatepub.Com/Books/Gcsr/Gcsr_Vol1

  93. Wei Li, Xiu Zhang, Zhurong Wang, “Music Content Authentication Based on Beat Segmentation and Fuzzy Classification”, EURASIP Journal on Audio Speech and Music Processing (EURASIP JASMP), 2013, pp. 1-13. (音频领域权威国际期刊, SCI/EI)

  94. Bilei Zhu, Wei Li, Ruijiang Li, Xiangyang Xue, “Multi-Stage Non-Negative Matrix Factorization for Monaural Singing Voice Separation”, IEEE Transactions on Audio, Speech, and Language Processing (TASLP), 2013, Vol. 21, No. 10, pp. 2096-2107. (音频领域顶级国际期刊, SCI/EI)

  95. Wei Li, Chuan Xiao, Yaduo Liu, “Low-Order Auditory Zernike Moment: A Novel Approach for Robust Music Identification in The Compressed Domain”, EURASIP Journal on Advances in Signal Processing (EURASIP JASP), 2013, pp. 1-15. (音频领域权威国际期刊, SCI/EI)

  96. Wei Li, Bilei Zhu, Zhurong Wang, "On The Music Content Authentication", ACM Multimedia International Conference (ACM MM), 2012, pp. 1101-1104. (多媒体领域顶级国际会议, EI)

  97. 汪竹蓉，李伟，朱碧磊，李晓强，"基于音乐内容分析的音频认证算法"，计算机研究与发展，2012，49(1): 158-166. (中文权威学报，EI)

  98. Xiangyang Xue, Wei Li, Yue Yin, "Towards Content-Based Audio Fragment Authentication", ACM Multimedia International Conference (ACM MM), 2011, pp. 1249-1252. (多媒体领域顶级国际会议, EI)

  99. Wei Li, Yaduo Liu, Xiangyang Xue, "Robust Music Identification Based on Low-Order Zernike Moment in The Compressed Domain", International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR), 2010, pp. 739-740. (信息检索领域顶级国际会议, EI)

  100. Wei Li, Yaduo Liu, Xiangyang Xue, "Robust Audio Identification for MP3 Popular Music", International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR), 2010, pp. 627-634. (信息检索领域顶级国际会议, EI)

  101. Wei Li, Zhurong Wang, Bilei Zhu, Xiangyang Xue, "Robust Hashing for Music Copyright Protection by Combining Beat Segmentation and Chroma", ACM Multimedia International Conference (ACM MM), 2010, pp. 935-938. (多媒体领域顶级国际会议, EI)

  102. Bilei Zhu, Wei Li, Zhurong Wang, Xiangyang Xue, "A Novel Audio Fingerprinting Method Robust To Time Scale Modification and Pitch Shifting", ACM Multimedia International Conference (ACM MM), 2010, pp. 987-990. (多媒体领域顶级国际会议, EI)

  103. 刘亚多，李伟，李晓强，汪竹蓉，冯瑞，”压缩域鲁棒音乐指纹算法研究”，电子学报，2010，38 (5): 1172-1176. (中文权威学报，EI)

  104. 李伟，汪竹蓉，李晓强，刘亚多，”数字音频认证研究综述”，计算机科学，2009，36(10): 21-24.

  105. Fang Chen, Wei Li, Xiaoqiang Li, “Audio Quality-Based Authentication Using Wavelet Packet Decomposition and Best Tree Selection”, IEEE International Conference on intelligent Information Hiding and Multimedia Signal (IIH-MSP), 2008, pp. 1265-1268. (EI)

  106. 李伟，李晓强，陈芳，王淞昕，”数字音频指纹技术综述”，小型微型计算机系统，2008，29(11): 2125-2130.

  107. Wei Li, Xiangyang Xue, Peizhong Lu, “Localized Audio Watermarking Technique Robust Against Time-Scale Modification”, IEEE Transactions on Multimedia (TMM), 2006, Vol. 8, No. 1, pp. 60-69. (多媒体领域顶级国际期刊, SCI/EI)

  108. Wei Li, Xiangyang Xue, Peizhong Lu, "Robust Audio Watermarking Based on Rhythm Region Detection”, IEE Electronics Letters, 2005, Vol. 41, No. 4, pp. 75-76. (SCI/EI)

  109. 李伟，袁一群，李晓强，薛向阳，陆佩忠，”数字音频水印技术综述”，通信学报，2005，26(2): 100-111. (中文权威学报)

  110. 李伟，李晓强，”光交换技术的研究进展”，微型电脑应用，2004，20(4):  1-11.

  111. Wei Li, Xiangyang Xue, “An Audio Watermarking Technique That Is Robust Against Random Cropping”, Computer Music Journal (CMJ), 2003, Vol. 27, No. 4, pp. 58-68. (计算机音乐领域权威国际期刊, SCI/EI)

  112. Wei Li, Xiangyang Xue, "Content Based Localized Robust Audio Watermarking", ACM International Workshop on Multimedia Interactive Protocols and Systems (ACM MIPS), 2003, pp. 364-375. (SCIE/EI)

  113. Wei Li, Xiangyang Xue, “Audio Watermarking Based on Music Content Analysis: Robust Against Time Scale Modification”, International Workshop on Digital Watermarking (IWDW), 2003, pp. 289-300. (多媒体信息安全领域顶级国际会议，SCIE/EIon)

  114. Wei Li, Xiangyang Xue, “Audio Watermarking Based on Statistical Feature in Wavelet Domain”, International World Wide Web Conference (WWW), 2003.

  115. Wei. Li, Xiangyang Xue, Xiaoqiang Li, Peizhong Lu, “A Novel Feature-Based Robust Audio Watermarking for Copyright Protection”, IEEE International Conference on Information Technology:  Computers and Communication (ITCC), 2003, pp. 554-558. (EI)

  116. Wei Li, Xiangyang Xue, Peizhong Lu, Xiaoqiang Li, “Audio Watermarking Robust Against Random Cropping”, IEEE International Conference on Advanced Communication Technology (ICACT), 2003, pp. 306-312.

  117. Wei Li, Xiangyang Xue, Xiaoqiang Li, “Localized Robust Audio Watermarking in Regions of Interest”, Pacific-Rim Conference on Multimedia (ICICS-PCM), 2003. (SCIE/EI)

  118. Xiaoqiang Li, Ziyan Du, Wei Li, Peizhong Lu, Xiangyang Xue, “Multi-Channel Data Hiding Scheme for Color Images”, IEEE International Conference on Information Technology:  Computers and Communication (ITCC), 2003, pp. 569-573. (EI)

  119. Xiaoqiang Li, Xiangyang Xue, Wei Li, "Robust Spatial Data Hiding for Color Images", IFIP TC-6 TC-11 Conference on Communications and Multimedia Security (CMS), 2003, pp. 205-213. (SCIE/EI)

  120. Xiaoqiang Li, Xiangyang Xue, Wei Li, "An Optimized Multi-Bits Blind Watermarking Scheme", International Conference on Information and Communications Security (ICICS), 2003, pp. 360-369. (SCIE/EI)


*************************Projects*************************

数字音频水印算法研究, NSFC, 2005.01.01-2007.12.31

音频指纹在音乐检索中的关键技术研究, NSFC, 2009.01.01-2011.12.31

基于人声检测及分离的多版本流行音乐检索关键技术研究, NSFC, 2012.01.01-2015.12.31

Other fundings….


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