个人简介
武娇，博士，副教授，硕士生导师，2012年毕业于西安电子科技大学计算机学院，获工学博士学位。主要研究方向：机器学习、图像处理、文本挖掘、应用数理统计。在《IEEE Transactions on Image Processing》、《Signal Processing》、《IEEE Transactions on Biomedical engineering》、《Pattern Recognition》、《Information Sciences》、《自动化学报》等国内外期刊上发表学术论文20余篇。主持国家自然科学青年基金一项，参与多项国家自然基金、省基金项目，主持和参加多项企业研发项目。现为IEEE (电气和电子工程师协会)、中国计算机协会、中国人工智能协会会员。
主持完成的科研项目
1．国家自然科学基金青年项目，61302190，基于超稀疏结构学习的压缩感知重建研究，2014/01-2016/12，主持
2．国家自然科学基金面上项目，61173090，Non-RIP约束的非凸压缩感知方法研究与应用，2012/01-2015/12，排名2，参加
3．国家自然科学基金面上项目，91330118，矩阵恢复的稀疏正则化算法及其应用，2014/01-2016/12，排名3，参加
4．国家自然科学基金面上项目，61272023，基于球调和分析理论的信号稀疏表示与重构算法，2013/01-2016/12，排名5，参加
5．教育部博士点基金项目，2011020311006，基于自然计算和非有限等距特性的压缩感知，2012/01-2014/12，排名2，参加
6．浙江省自然科学基金， LY14G030019，浙江省城市公共体育设施供给基本标准与量化评估系统研究，2014/01-2016-12，排名2，参加
7．浙江省教育厅科研项目，Y201328000，基于结构先验的压缩感知图像重建算法研究，2013/10-2014/10，主持
近期论文
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（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）
论文：
[1]Jiao Wu, Fang Liu, Licheng Jiao, Xiaodong Wang. Compressive sensing SAR image reconstruction based on Bayesian framework and evolutionary computation. IEEE Transactions on Image Processing. 2011. 20(7): 1904-1911. (SCI: JCR 2区, Top Journal.)
[2]Jiao Wu, Fang Liu, Licheng Jiao, Xiaodong Wang, Biao Hou. Multivariate compressive sensing for image reconstruction in the wavelet domain: using scale mixture models. IEEE Transactions on Image Processing. 2011. 20(12): 3483-3494. (SCI: JCR 2区, Top Journal.)
[3]Jiao Wu, Fang Liu, Licheng Jiao, Xiaodong Wang. Multivariate pursuit image reconstruction using prior information beyond sparsity. Signal Processing. 2013. 93(6):1661-1671. (SCI: JCR 3区)
[4]Jiao Wu, Feilong Cao, Juncheng Yin. Nonlocaly multi-morphological representation for image reconstruction from compressive measurements. IEEE Transactions on Image Processing. 2017, 26(12): 5730-5742. (SCI, JCR 2区, Top Journal)
[5]刘芳, 武娇*, 杨淑媛, 焦李成. 结构化压缩感知研究进展. 自动化学报. 2013, 39(12): 1980-1995. (通讯作者, EI, 一级)
[6]庄建昌,武娇*,洪彩凤,顾兴全. 基于结构张量空间模型的文本分类. 统 计与信息论坛. 2019, 34(7): 10-18. (通讯作者, CSSCI)
[7]Jingjing Yu, Fang Liu, Jiao Wu, Liceheng Jiao, Xiaowei He. Fast source reconstruction for bioluminescence tomography based on sparse regularization. IEEE Transactions on Biomedical Engineering. 2010. 57(10): 2583-2586. (SCI: JCR 2区)
[8]Xiaodong Wang, Fang Liu, Licheng Jiao, Zhiguo Zhou, Jingjing Yu, Bing Li, Jianrui Chen, Jiao Wu, Fanhua Shang. An evidential reasoning based classification algorithm and its application for face recognition with class nois. Pattern Recognition. 2012. 45(12): 4117-4128. (SCI: JCR 2区)
[9]Xiaodong Wang, Fang Liu, Licheng Jiao, Jiao Wu, Jianrui Chen. Incomplete variables truncated conjugate gradient method for signal reconstruction in compressed sensing. Information Sciences. 2014, 288: 387-411. (SCI, JCR 2区)
[10]Feilong Cao, Heping Hu, Jing Lu, Jianwei Zhao, Zhenghua Zhou, Jiao Wu. Pose and illumination variable face recognition via sparse representation and illumination dictionary. Knowledge-Based Systems. 2016,107: 117-128. (SCI: JCR 2区)
[11]Minxia Luo, Ze Cheng, Jiao Wu. Robustness of interval-valued universal triple I algorithms. Journal of Intelligent & Fuzzy Systems. 2016, 30: 1619-1628. (SCI)
[12] Haibing Yin, Hao Cai, Enhui Yang, Yang Zhou, Jiao Wu. An efficient all-zero block detection algorithm for high efficiency video coding with RDOQ. Signal Processing: Image Communication. 2018, 60: 79–90. (SCI)
[13] Jiao Wu, Fang Liu, Licheng Jiao. Reconstruction of images from compressive sensing based on the stagewise fast LASSO. In Proceedings of SPIE Sixth International Symposium on MIPPR. 2009. 7498: 749848. (EI)
[14] Jiao Wu, Fang Liu, Licheng Jiao. WBCT-based multivariate compressive sensing using image statistical model. In Proceedings of Second International Conference on FCC. 2010. 1: 40-43.
[15] Jiao Wu, Fang Liu, Licheng Jiao. Fast lp-Sparse Bayesian learning for compressive sensing reconstruction. In Proceedings of 4th International Congress on Image and Signal Processing. 2011. 1929-1933. (EI)
[16] Jiao Wu, Fang Liu, Licheng Jiao. Edge-based matching pursuit for compressive sensing image reconstruction. In Proceedings of 5th International Congress on Image and Signal Processing. Oct. 2012. ( EI).
[17] Jiao Wu, Juncheng Yin, Dan Wu, Minxia Luo. Statistical compressed sensing based on Bayesian principal component analysis. In Proceedings of 8th International Congress on Image and Signal Processing. 2015. 1063-1068. (EI)
发明专利：
1. 武娇，顾兴全. 基于小波HMT模型的多变量压缩感知重构方法.专利号：ZL201310025523.7. 授权时间：2015.03.04
2. 武娇，曹飞龙，银俊成，武丹. 基于图像块聚类和稀疏字典学习的分块压缩感知重构方法. 专利号：ZL201410314084.6. 授权时间：2017.05.10
3. 武娇，曹飞龙. 基于分层高斯混合模型的统计压缩感知图像重构方法. 专利号：ZL201610110804.6. 授权时间：2018.08.28
计算机软件著作:
1. 公共体育服务设施供求评估软件V1.1. 2016.10. 排名2
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