张雄军-华中师范大学数学学院中文站

个人简介

My Personal Homepage: https://xj-zhang.github.io/math/index.html

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：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

2019.07-至今：副教授，华中师范大学数学与统计学学院.
2017.07-2019.06：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

13. 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. 
12. 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.
11. Michael K. Ng, Xiongjun Zhang, and Xi-Le Zhao. Patched-Tubes Unitary Transform for Robust Tensor Completion. Pattern Recognition, 100:107181, 2020.
10. 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.
9. Xiongjun Zhang. A Nonconvex Relaxation Approach to Low-Rank Tensor Completion. IEEE Transactions on Neural Networks and Learning Systems, 30(6):1659-1671, 2019.
8. 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.
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

附件

张雄军

English Version (英文版)