张雄军-数学与统计学学院2026

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张雄军

副教授

办公室

国交二号楼306办公室

邮箱

xjzhang@ccnu.edu.cn

个人简介

张雄军

开设课程

《统计学习理论》《应用数理统计》《统计计算》《优化理论》

研究方向

图像处理、张量优化、机器学习

教育经历

2012.09-2017.06 湖南大学 博士(硕博连读，导师:白敏茹教授）
2008.09-2012.06 北方民族大学 本科

工作经历

2019.07至今 华中师范大学数学与统计学学院 副教授.
2017.07-2019.06 华中师范大学数学与统计学学院 讲师
2017.07-2017.08 香港浸会大学数学系 研究助理
2015.11-2016.11 香港浸会大学数学系 博士交换生
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

[1]Xi-Le Zhao, Hao Zhang, Tai-Xiang Jiang, Michael K. Ng, and Xiongjun Zhang. Fast Algorithm with Theoretical Guarantees for Constrained Low-Tubal-Rank Tensor Recovery in Hyperspectral Images Denoising, Neurocomputing, 413:397-409, 2020. 
[2]Guangjing Song, Michael K. Ng, and Xiongjun Zhang. Robust Tensor Completion Using Transformed Tensor Singular Value Decomposition. Numerical Linear Algebra with Applications, 27(3):e2299, 2020.
[3]Michael K. Ng, Xiongjun Zhang, and Xi-Le Zhao. Patched-Tubes Unitary Transform for Robust Tensor Completion. Pattern Recognition, 100:107181, 2020.
[4]Xiongjun Zhang and Michael K. Ng. A Corrected Tensor Nuclear Norm Minimization Method for Noisy Low-Rank Tensor Completion. SIAM Journal on Imaging Sciences, 12(2):1231-1273, 2019.
[5]Xiongjun Zhang. A Nonconvex Relaxation Approach to Low-Rank Tensor Completion. IEEE Transactions on Neural Networks and Learning Systems, 30(6):1659-1671, 2019.
[6]Xiongjun Zhang and Michael K. Ng. A Fast Algorithm for Solving Linear Inverse Problems with Uniform Noise Removal. Journal of Scientific Computing, 79(2):1214-1240, 2019. 
[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.
[8]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.
[9]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.
[10]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.
[11]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.
[12]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.
[13]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.

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