伍家松
发布人:王霞  发布时间:2019-01-05   浏览次数:2079
基本信息
姓 名:伍家松性 别:出生年月:请输入
学 位:博士职 称:讲师资 格:硕士生导师
行政机构:影像科学与技术系研究方向:深度学习,信号与图像处理
电 话:83794249传 真:
电子邮件:jswu@seu.edu.cn
地 址:四牌楼2号邮 编:210096


详细信息
一、学习及工作经历
2012/03-至今,东南大学,计算机科学与工程学院影像科学与技术系,讲师
2009/07–2012/03, 雷恩第一大学, 信号处理与通信, 博士(中法联合培养),导师:Lotfi Senhadji教授
2007/03–2012/11, 东南大学, 生物医学工程, 博士, 导师:舒华忠教授
2005/09–2007/03, 东南大学, 生物医学工程, 硕士研究生(提前攻博),导师:於文雪副教授
2001/09–2005/06, 南华大学, 生物医学工程, 学士, 导师:赵修良教授


二、科研获奖

2018年江苏省教育科学研究成果奖三等奖1项(排名第2)。
2017年国家科技进步二等奖1项(排名第13)
2012年获教育部自然科学二等奖1项(排名第3)。
2010年中国国家留学基金委“国家优秀自费留学生奖学金”。
2009年法国外交部“艾菲尔(Eiffel)博士奖学金”。


三、承担项目

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)

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)


四、论文发表和专利申请

研究方向:深度学习,卷积网络,图像和视频描述,自监督学习,离散正交变换等。自2008年以来,发表学术论文65篇,其中SCI论文33篇,包括8篇IEEE Transactions 系列论文。申请专利18项,目前已经授权13项。

Arxiv:

[1]Jiasong Wu*, Ling Xu, Youyong Kong, Lotfi Senhadji, Huazhong Shu. Deep Octonion Networks. 2019, arXiv:1903.08478

[2]Jiasong Wu*, Fuzhi Wu, Qihan Yang, Youyong Kong, Xilin Liu, Yan Zhang, Lotfi Senhadji, Huazhong Shu. Fractional spectral graph wavelets and their applications. 2019, arXiv:1902.10471.

[3]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]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.

[2]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

[3]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.

[4]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.

[5]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.

[6]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.

[7]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.

[8]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.

[9]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.

[10]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.

[11]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.

[12]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.

[13]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.

[14]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.

[15]  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.

[16]  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.
[17]  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.
[18]  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.
[19]  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.
[20] 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.
[21] 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.
[22] 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.
[23] 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.
[24] 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.
[25] 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.
[26] 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.
[27] 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.
[28] 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.
[29] 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.
[30] 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.
[31] 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.
[32] 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.
[33] 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.


五、所教课程

计算机学院大二本科生课程《信号与系统》

软件学院大三本科生课程《运筹学》、《深度学习导论》

东南大学苏州软件学院研究生课程《机器学习》


六、人才培养

联合培养硕士研究生15,在读15名。

6.1 在读研究生

2019级:陈曦、王晨琳、文智奕

2018级:李晓燕、李桃桃、李蒙、闻婷、何东升

2017级:吴福志(博士,提前攻博)、徐玲、夏金鹏、祝木林、张景、曹国栋、申泽宇

6.2毕业研究生

应雨婷(硕士,2019年毕业,华为南京),毕业论文:基于循环神经网络的中文语音合成研究与应用

任虹珊(硕士,2019年毕业,华为南京),毕业论文:基于深度压缩的卷积神经网络压缩算法研究

杨启晗(硕士,2019年毕业,华为南京),毕业论文:基于深度学习的图像篡改取证研究

朱小贝(硕士,2019年毕业,华为南京),毕业论文:复数生成式对抗网络的构造及其应用研究

邱师洁(硕士,2018年毕业,滴滴北京),毕业论文:卷积网络算法研究及其在图像分类中的应用

魏黎明(硕士,2018年毕业,唯品会上海),毕业论文:基于卷积神经网络的方言分类方法研究

达臻(硕士,2017年毕业,美团上海),毕业论文:深度学习中卷积网络的改进算法研究

郑爱宇(硕士,2017年毕业,兵器集团第207),毕业论文:可扩展通用反垃圾信息处理平台的设计与实现

吴丹(硕士,2016年毕业,欢聚时代广州),毕业论文:主成分分析网络构造方法及其应用

曾瑞(硕士,2015年毕业,昆士兰科技大学读博),毕业论文:四元数自编码机算法及其应用研究

冯永(硕士,2015年毕业,南方科技大学工作),毕业论文:稀疏自适应滤波算法研究

刘洁媛(硕士,2015年毕业,华为南京研究院),毕业论文:基于变换域幅度或相位的信号凸优化重建方法研究

韩旭(硕士,2014年毕业,法国雷恩第一大学读博),毕业论文:基于压缩感知理论信号恢复的方法研究

严路(硕士,2015年毕业,腾讯上海),毕业论文:基于伪牛顿法的四元数信号压缩感知恢复算法

葛迦(硕士,2015年毕业,浙江大学附属第一医院),毕业论文:基于滑动窗算法的视频块运动估计研究