近期论文
查看导师最新文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
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)。
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)。
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, CCF-B, EI)。
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, CCF-B, EI)。
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, CCF-B, EI)。
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)。
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)。
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 (Lecture Notes in Electrical Engineering), 2023, pp. -. (CSMT 2023会刊, 中国音乐科技与计算机听觉权威会议, EI)。
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 (Lecture Notes in Electrical Engineering), 2023, pp. -. (CSMT 2023会刊, 中国音乐科技与计算机听觉权威会议, EI)。
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 (Lecture Notes in Electrical Engineering), 2023, pp. -. (CSMT 2023会刊, 中国音乐科技与计算机听觉权威会议, EI)。
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 (Lecture Notes in Electrical Engineering), 2023, pp. -. (CSMT 2023会刊, 中国音乐科技与计算机听觉权威会议, EI)。
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 (Lecture Notes in Electrical Engineering), 2023, pp. -. (CSMT 2023会刊, 中国音乐科技与计算机听觉权威会议, EI)。
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. (SCI, CCF-B, 多媒体领域重要期刊)。
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. (SCI, CCF-B, 多媒体领域重要期刊)。
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)。
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)。
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)。
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)。
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)。
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, CCF-B, EI)。
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, CCF-B, EI)。
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, CCF-B, EI)。
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, CCF-B, EI)。
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, CCF-B, EI)。
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, CCF-B, EI)。
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。
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)。
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)。
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)。
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)。
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, EI)。
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, EI)。
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, CCF-B, EI)。
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, CCF-B, EI)。
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, CCF-B, EI)。
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)。
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)。
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, CCF-B, EI)。
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)。
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)。
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)。
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, CCF-B, SCI/EI)。
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, CCF-B, EI)。
李伟，李硕，“理解数字声音-基于普通音频的计算机听觉综述”，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) 。
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)。
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)。
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)。
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)。
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)。
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.
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。
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, CCF-B, EI)。
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)。
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)。
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)。
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)。
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, CCF-B, EI)。
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. (Oral Presentation, 音频领域顶级国际会议, CCF-B, EI)。
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)。
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. (Full Paper, Oral Presentation, 多媒体领域顶级国际会议, CCF-A, EI)。
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)。
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, CCF-B, SCI/EI)。
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)。
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, CCF-A, EI)。
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CCF-A类，中文权威学报，EI)。
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, CCF-A Poster, EI/ISTP)。
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, CCF-A Full Paper, Oral Presentation, EI/ISTP)。
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, CCF-A, EI)。
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, CCF-A, EI)。
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CCF-A类，中文权威学报，EI )。
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, CCF-B, SCI/EI)。
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CCF-B类，中文权威学报)。
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)。
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)。
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/EI, Oral Presentation)。
Wei Li, Xiangyang Xue, Xiaoqiang Li, “Localized Robust Audio Watermarking in Regions of Interest”, Pacific-Rim Conference on Multimedia (ICICS-PCM), 2003. (SCIE/EI)。
京公网安备 11010802027423号