【伍家松导师】招生“计算机科学与工程学院”研究生介绍
伍家松
副教授
硕，博士生导师
男
计算机科学与工程学院
计算机科学与技术
,★人工智能
,软件工程
,电子信息
深度学习,多模态数据处理,信号与图像处理
jswu@seu.edu.cn
本人自2006年开始在离散正交变换的构造及快速算法、卷积网络的构造及应用方向开展研究，累计发表论文86篇，其中SCI检索44篇(第一或通讯作者12篇)、EI检索42篇(第一作者9篇)，中文核心期刊18篇。部分论文以第一作者发表在信号处理、电路与系统领域具有广泛影响力的期刊，如IEEE Trans Signal Process、IEEE Trans Circuits Syst-I、IEEE Trans Circuits Systems-II、Signal Processing和Neurocomputing等。相关论文被Google学术累计引用782次(他引731次,单篇他引最高58次)，其中SCI引用累计426次(SCI他引累计377次,单篇SCI他引最高40次)，一定数量的引文发表在相关领域国际顶级或权威期刊，如Science Advances、IEEE Signal Process Mag、IEEE Trans Signal Process、IEEE Trans Neural Netw Learn Syst、IEEE Trans Circuits Syst-I、Pattern Recognition、Optics Express、Information Sciences和Journal of the Franklin Institute等，引文作者包括相关领域的权威学者，如德州大学阿灵顿分校电子工程系多媒体处理实验室主任K.R. Rao教授(IEEE Fellow, 著名的DCT变换发明者)、加拿大康考迪亚大学M.N.S. Swamy教授(IEEE Fellow, IEEE Circuits and Systems Society前任主席)，英国伦敦帝国理工学院常务副校长Ian Walmsley教授(英国皇家科学院院士)，台湾大学电机工程系特聘教授Soo-Chang Pei教授(IEEE Life Fellow), 韩国全北大学电子工程系Moon Ho Lee教授(韩国工程院院士)，DeepMind公司研究人员Karen Simonyan(著名的VGGNet的发明者)，部分成果被国内外同行在引文中称为： “novel (新颖的)”、“good performance (好的性能)”、“promising performance (很好的性能)”、“well-known (众所周知的)”、 “state-of-the-art (最先进的)” 、 “are fully studied (充分的研究)”、“The motivation for this work (我们这篇文章的动机来源于) ”、“The most effective network (最有效的网络)”、“advanced (先进的)”、“encouraging results (令人鼓舞的成果)”等。申报国家发明专利32项(已授权21项，其中第一申请人或联系人授权12项)。
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科研项目
国家自然科学基金青年项目1项《基于压缩感知,矩阵填充和鲁棒的主成分分析的四元数信号处理方法研究》(2013-2015)
国家自然科学基金面上项目1项《复数及四元数域卷积神经网络的构造方法及其应用研究》(2019-2022)
装备预研共用技术项目课题1项《语音伪造和防伪、多模态音视频联合检测》(2022-2024)
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研究成果
Arxiv：
[1]Qingchun Li, Jiasong Wu*, Yilun Kong, Youyong Kong, Guanyu Yang, Lotfi Senhadji, Huazhong Shu. Speech denoising using only single noisy audio samples. 2021.
[2]Fuzhi Wu#, Jiasong Wu#, Youyong Kong, Chunfeng Yang, Guanyu Yang, Huazhong Shu, Lotfi Senhadji. Modulation theory: A new entry point for convolutional neural networks. 2021.
[3]Jiasong Wu*, Taotao Li, Youyong Kong, Guanyu Yang, Lotfi Senhadji, Huazhong Shu. SLNSpeech: solving extended speech separation problem by the help of sign language. 2020. arXiv: 2007.10629.
[4]Jiasong Wu*, Fuzhi Wu, Jieyuan Liu, Youyong Kong, Xu Han, Lotfi Senhadji, Huazhong Shu. Phase-only signal reconstruction by MagnitudeCut. arxiv: 1603.00210.
已发表：
[1]Jiasong Wu*, Xiang Qiu, Jing Zhang, Fuzhi Wu, Youyong Kong, Guanyu Yang, Lotfi Senhadji, Huazhong Shu. Fractional wavelet based generative scattering networks. Frontiers in Neurorobotics. 2021
[2]Xilin Liu , Yongfei Wu , Hao Zhang , Jiasong Wu , Liming Zhang. Quaternion discrete fractional Krawtchouk transform and its application in color image encryption and watermarking. Signal Processing. 189: 108275 (2021)
[3]Yan Zhang, Yifei Li, Youyong Kong, Jiasong Wu, Jian Yang, Huazhong Shu, Gouenou Coatrieux. GSCFN: A graph self-construction and fusion network for semisupervised brain tissue segmentation in MRI. Neurocomputing, vol. 455, pp. 23-37, 2021.
[4]Yuting He, Guanyu Yang, Jian Yang, Yang Chen, Youyong Kong, Jiasong Wu, Lijun Tang, Xiaomei Zhu, Jean-Louis Dillenseger, Pengfei Shao, Shaobo Zhang, Huazhong Shu, Jean-Louis Coatrieux, Shuo Li. Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation. Medical Image Anal. 63: 101722 (2020)
[5]J.S. Wu*, L. Xu, F.Z. Wu, Y.Y. Kong, L. Senhadji, H.Z. Shu. Deep octonion networks. Neurocomputing, vol. 397, pp. 179-191, 2020.
[6]J.S. Wu*, F.Z. Wu, Q.H. Yang, Y. Zhang, X.L. Liu, Y.Y. Kong, L. Senhadji, H.Z. Shu, Fractional spectral graph wavelets and their applications. Mathematical Problems in Engineering. Vol. 2020, Article ID 2568179, 18 Pages.
[7]Li Liu, Da Chen, Laurent D. Cohen, Jiasong Wu, Michel Paques, Huazhong Shu*, Anisotropic tubular minimal path model with fast marching front freezing scheme, Pattern Recognition, vol. 104, 2020, doi: https://doi.org/10.1016/j.patcog.2020.107349
[8] Aodong Shen, Han Dong, Kun Wang, Youyong Kong, Jiasong Wu, Huazhong Shu. Automatic extraction of blur regions on a single image based on semantic segmentation. IEEE Access, vol. 8, pp. 44867- 44878, 2020.
[9]Peng Yang, Guowei Yang, Xun Gong, Pingping Wu, Xu Han, Jiasong Wu, Caisen Chen. Instance segmentation network with self-distillation for scene text detection. IEEE Access, vol. 8, pp. 45825 – 45836, 2020.
[10]Y. Zhang, J. S. Wu, Y.Y. Kong, G. Coatrieux, H.Z. Shu. Image denoising via a non-local patch graph total variation. PLOS ONE, vol. 14, no. 12, pp. 1-16, 2019.
[11]Y. Y. Kong, J.S. Wu, G.Y. Yang, Y.L. Zuo, Y. Chen, H.Z. Shu, J.L. Coatrieux. Iterative spatial fuzzy clustering for 3D brain magnetic resonance image supervoxel segmentation. Journal of Neuroscience Methods, vol. 311, pp. 17-29, 2019.
[12]R.J. Ge, G.Y. Yang, J.S. Wu, Y. Chen*, G. Coatrieux, L.M. Luo. A novel chaos-based symmetric image encryption using bit-pair level process. IEEE Access, vol. 7, no. 1, pp. 99470-99480, 2019.
[13]X.L. Liu*, Y.F. Wu, Z.H. Shao, J.S. Wu. The modified generic polar harmonic transforms for image representation. Pattern Analysis and Applications. https://doi.org/10.1007/s10044-019-00840-0
[14]L. Liu, J. S. Wu, D. W. Li, L. Senhadji, H. Z. Shu*. Fractional wavelet scattering network and applications. IEEE Transactions on Biomedical Engineering, vol. 66, no. 2, pp. 553-563, 2019.
[15]J.S. Wu*, F.Z. Wu, Z.F. Dong, K.W. Song, Y.Y. Kong, L. Senhadji, H.Z. Shu. Fast gray code kernel algorithm for the sliding conjugate symmetric sequency-ordered complex Hadamard transform. IEEE Access, vol. 6, no. 1, 2018: 56029-56045.
[16]J. S. Wu*, S. J. Qiu, Y. Y. Kong, L. Y. Jiang, Y. Chen, W. K. Yang, L. Senhadji, H. Z. Shu. PCANet: An energy perspective. Neurocomputing, vol. 313, pp. 271-287, 2018.
[17]Xilin Liu, Yongfei Wu, Zhuhong Shao, Jiasong Wu, Huazhong Shu. Color image watermarking using a discrete trinion Fourier transform. Journal of Electronic Imaging, 2018, 27 (4):043046-1-14.
[18]L. Y. Jiang, R.G. He, J. Liu, Y. Chen, J.S. Wu, H.Z. Shu. Phase-constrained parallel magnetic resonance imaging reconstruction based on low-rank matrix completion. IEEE Access, vol. 6, pp. 4941-4954, 2018.
[19]L.Y. Jiang, R.G. He, Y.P. Hong, J.S. Wu, H.Z. Shu. Two-dimensional active raypath separation using examination of the roots of the spectrum polynomial. The Journal of the Acoustical Society of America, vol. 142, no. 4, pp. EL408-EL414, 2017.
[20]W. Yang, H. Zhang, J. Yang, J. Wu, X. Yin, Y. Chen, H. Shu, L. Luo, G. Coatrieux, Z. Gui, Q. Feng. “Improving low-dose CT image using residual convolutional network,” IEEE Access, vol. 5, pp. 24698-24705, 2017.
[21]Jiasong Wu*, Shijie Qiu, Rui Zeng, Youyong Kong, Lotfi Senhadji, Huazhong Shu. Multilinear principal component analysis network for tensor object classification. IEEE Access, vol. 5, pp. 3322-3331, 2017.
[22]Xilin Liu, Guoniu Han, Jiasong Wu, Zhuhong Shao, Gouenou Coatrieux, and Huazhong Shu*. Fractional Krawtchouk transform with an application to image watermarking. IEEE Transactions on Signal Processing, vol. 65, no. 7, pp. 1894-1908, 2017.
[23]Zhang J, Wu J, Coatrieux J L, et al. A Correlation Based Strategy for the Acceleration of Nonlocal Means Filtering Algorithm. Mathematical Problems in Engineering, pp. 1-7, 2016.
[24]Zhuhong Shao, Yuanyuan Shang, Rui Zeng, Huazhong Shu, Gouenou Coatrieux, Jiasong Wu. Robust watermarking scheme for color image based on quaternion-type moment invariants and visual cryptography. Signal Processing: Image Communication. Volume 48, October 2016, Pages 12–21.
[25]Zeng R, Wu J S*, Shao Z H, Chen Y, Senhadji L, Shu H Z. Color image classification via quaternion principal component analysis network. Neurocomputing, vol. 216, pp. 416-428, 2016.
[26] B.J. Chen, G. Coatrieux, J.S. Wu, Z.F. Dong, J.L. Coatrieux, H.Z. Shu. Fast computation of sliding discrete Tchebichef moments and its application in duplicated regions detection. IEEE Trans. Signal Processing, vol. 63, no. 20, pp. 5424-5436, 2015.
[27] Z. H. Shao, Y. P. Duan, G. Coatrieux, J. S. Wu, J. Y. Meng, H. Z. Shu. Combining double random phase encoding for color image watermarking in quaternion gyrator domain. Optics Communications, vol. 343, pp. 56-65, 2015.
[28] R. Zeng, J.S. Wu*, Z.H. Shao, L. Senhadji, H.Z. Shu. Quaternion softmax classifier. IET Electronics Letters, vol. 50, no. 25, pp. 1929-1930, 2014.
[29] F. Liao, J. L. Coatrieux, J.S. Wu, Huazhong Shu. A new fast algorithm for constrained four-directioal total variation image denoising problem. Mathematical Problems in Engineering, 2014, Article ID 815132, pp. 1-11.
[30] X. Han, J.S. Wu, L. Wang, Y. Chen, L. Senhadji, H.Z. Shu. Linear Total Variation Approximate Regularized Nuclear Norm Optimization for Matrix Completion, Abstract and Applied Analysis, 2014, Article ID 765782, pp. 1-8.
[31] Y. Chen, H.Z. Shu, J. Yang, J.S. Wu, L.M. Luo, J. L. Coatrieux. 2-D Impulse noise suppression by recursive Gaussian maximum likelihood estimation. PLoS ONE, e96386, vol. 9, no. 5, pp. 1-14, 2014.
[32] Z.H. Shao, H.Z. Shu, J.S. Wu, Z.F. Dong, G. Coatrieux, J. L. Coatrieux. Double color image encryption using iterative phase retrieval algorithm in quaternion gyrator domain. Optics Expresses, vol. 22, no. 5, pp. 4932-4942, 2014.
[33] Z.H. Shao, H.Z. Shu, J.S. Wu, B.J. Chen, J. L. Coatrieux. Quaternion Bessel-Fourier moments and their invariant descriptors for object reconstruction and recognition. Pattern Recognition, vol. 47, no. 2, pp. 603-611, Feb. 2014.
[34] J. Wang, S. J. Wang, Y. Chen, J.S. Wu, J. L. Coatrieux, and L. M. Luo. Metal artifact reduction in CT using fusion based prior image. Med. Phys. 2013, 40 (8), 081903-1-8.
[35] J.S. Wu, L. Wang, G. Y. Yang, L. Senhadji, L. M. Luo, H. Z. Shu. Sliding conjugate symmetric sequency-ordered complex Hadamard transform: fast algorithm and applications. IEEE Trans Circuits Syst-I: Regular Papers, 2012, 59 (6): 1321-1334.
[36] H. Z. Shu, J.S. Wu, C. F. Yang, L. Senhadji. Fast radix-3 algorithm for the generalized discrete Hartley transform of type II. IEEE Signal Process Lett, 2012, 19(6): 348-351.
[37] B. Wang, J. S. Wu, H. Z. Shu, L. M. Luo, Shape description using sequency-ordered complex Hadamard transform. Optics Commun., 2011, 284(12): 2726-2729.
[38] J.S. Wu, H.Z. Shu, L. Wang, L. Senhadji. Fast algorithms for the computation of sliding sequency-ordered complex Hadamard transform. IEEE Trans. Signal Process., 2010, 58(11): 5901-5909.
[39] L.Y. Jiang, H.Z. Shu, J.S. Wu, L. Wang, L. Senhadji. A novel split-radix fast algorithm for 2-D discrete Hartley transform. IEEE Trans. Circuits Syst.-I, 2010, 57(4): 911-924.
[40] J.S. Wu, H.Z. Shu, L. Senhadji, L.M. Luo. Mixed-radix algorithm for the computation of forward and inverse MDCTs. IEEE Trans. Circuits Syst.-I, 2009, 56(4): 784-794.
[41] H.Z. Shu, J.S. Wu, L. Senhadji, L.M. Luo. New fast algorithm for modulated complex lapped transform with sine windowing function. IEEE Signal Process. Lett., 2009, 16(2): 93-96.
[42] J.S Wu, H.Z. Shu, L. Senhadji, L.M. Luo. Radix-3×3 algorithm for the 2-D discrete Hartley transform. IEEE Trans. Circuits Syst. -II, 2008, 55(6): 566-570.
[43] J.S. Wu, H.Z. Shu, L. Senhadji, L.M. Luo. A fast algorithm for the computation of 2-D forward and inverse MDCT. Signal Process., 2008, 88(6): 1436-1446.
[44] H.Z. Shu, J.S. Wu, L. Senhadji, L.M. Luo. Radix-2 algorithm for the fast computation of type-III 3-D discrete W transform. Signal Process., 2008, 88(1): 210-215.
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