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讲师
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  • 姓名张雄军
  • 职称
  • 办公室六号楼M416
  • 邮箱xjzhang@mail.ccnu.edu.cn
个人简介 Brief Introduction
开设课程 Courses
统计学习理论, 应用数理统计,统计计算
研究方向 Research Interests 
图像处理,张量优化,机器学习
教育经历 Education Experience
2012.09-2017.06:博士(硕博连读), 运筹学与控制论, 湖南大学. 导师:白敏茹教授.
2008.09-2012.06:本科, 数学与应用数学, 北方民族大学.
工作经历 Work Experience
2017.07-现在:讲师,华中师范大学数学与统计学学院.
2017.07-2017.08:研究助理,香港浸会大学数学系. 导师:Michael Kwok-Po Ng.
2015.11-2016.11:博士交换生, 香港浸会大学数学系. 导师:Michael Kwok-Po Ng.
2014.07-2014.08:中国科学院数学与系统科学研究院. 访问导师:戴彧虹研究员.
研究成果 Research Results
9. Xiongjun Zhang and Michael K. Ng. A Fast Algorithm for Solving Linear Inverse Problems with Uniform Noise Removal. Journal of Scientific Computing, DOI:10.1007/s10915-018-0888-2, 2018.
8. Xiongjun Zhang. A Nonconvex Relaxation Approach to Low-Rank Tensor Completion. IEEE Transactions on Neural Networks and Learning Systems, DOI:10.1109/TNNLS.2018.2872583, 2018.
7. Junjun Pan, Michael K. Ng, and Xiongjun Zhang. Structured Convex Optimization Method for Orthogonal Nonnegative Matrix Factorization, 2018 24th International Conference on Pattern Recognition, 459-464, 2018.
6. Xiongjun Zhang, Michael K. Ng, and Minru Bai. A Fast Algorithm for Deconvolution and Poisson Noise Removal, Journal of Scientific Computing, 75(3):1535-1554, 2018.
5. Xiongjun Zhang,​ Minru Bai, and Michael K. Ng. Nonconvex-TV Based Image Restoration with Impulse Noise Removal, SIAM Journal on Imaging Sciences, 10(3):1627-1667, 2017.
4. Xiongjun Zhang, Bahram Javidi, and Michael K. Ng. Automatic regularization parameter selection by generalized cross-validation for total variational Poisson noise removal, Applied Optics. 56(9):D47-D51, 2017.
3. Duo Qiu, Xiongjun Zhang, and Lei Zhang. Distributed Optimization Operation Strategy for Charging Stations Under Demand Response, International Journal of Emerging Electric Power Systems, 18(4):20160278, 2017.
2. Minru Bai, Xiongjun Zhang, Guyan Ni, and Chunfeng Cui. An Adaptive Correction Approach for Tensor Completion. SIAM Journal on Imaging Sciences, 9(3):1298-1323, 2016.
1. Minru Bai, Xiongjun Zhang, and Qianqian Shao. Adaptive correction procedure for TVL1 image deblurring under impulse noise. Inverse Problems, 32(8):085004, 2016. This paper was selected into Highlights of 2016 in Invserse Problems.
研究项目 Research Projects
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