广东工业大学教师主页平台管理系统 zhangjun--Home--Paper Publications

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张军

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Personal Information

Supervisor of Master's Candidates

Supervisor of Doctorate Candidates

School/Department:
信息工程学院
Education Level:
博士
Gender:
Male
Degree:
Doctor of Engineering
Professional Title:
教授
Status:
On-the-job
Teacher College:
School of Information Engineering

Paper Publications

Current position: Home > Scientific Research > Paper Publications

[13] Jun Zhang (张军), Yuanqing Li, Zhuliang Yu and Zhenghui Gu. “Noisy sparse recovery based on parameterized quadratic programming by thresholding，” EURASIP Journal on Advances in Signal Process., vol.2011, Article ID 528734, 7 pages, DOI:10.1155/2011/528734..
[14] Jun Zhang (张军), Yuanqing Li, Zhuliang Yu and Zhenghui Gu. “Effect of Errors in Partially Known Support on the Recoverability of Modified Compressive Sensing、” EURASIP Journal on Advances in Signal Process., vol.2012, DOI: 10.1186/1687-6180-2012-199.
[15] Y. Pan, J. Zhang (张军) and H. Yu, “Model reference composite learning control without persistency of excitation,” IET Control Theory and Applications, vol. 10, no. 16, pp: 1963-1971, 2016.
[16] Xiaofeng Xie，Zhu Liang Yu，Zhenghui Gu，Jun Zhang (张军)，Ling Cen，Yuanqing Li, “Bilinerar Regularized Locality Preserving Learning on Riemannian Graph for Motor Imagery BCI,” IEEE Trans. Neural Systems and Rehabilitation Engineering, vol.26, no.3, pp: 698 – 708, 2018.
[17] Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Jun Zhang (张军), Ling Cen, Srikantan Nagarajan and Yuanqing Li, “Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources based on Matrix Factorization,” IEEE Trans. Biomedical and Engineering, 2018, DOI: 10.1109/TBME.2018.2890291.
[18] Jinhong Huang，Zhu Liang Yu，Zhenghui Gu，Jun Zhang (张军)，Ling Cen，“Sparse and Heuristic Extreme Learning Machine for Classifer and Regressor Fusion,” International Journal of Machine Learning and Cybernetics..
[19] Jun Zhang (张军), Urbashi Mitra, GuanWen Huang and Nicolo Michelus. “Support recovery from noisy random measurements via weighted L1 minimization,” 2016 IEEE International Symposium on Information Theory (ISIT 2016)，Barcelona, Spain，口头报告..
[20] Jun Zhang (张军), Yuanqing Li, Zhuliang Yu and Zhenghui Gu. “Sufficient conditions for sparse recovery by weighted ℓ1-constrained quadratic programming,” 2016 International Joint Conference on Neural Networks (IJCNN 2016)，Vancouver, Canada，口头报告..
[21] Jun Zhang (张军), Zhenghui Gu, Yuanqing Li and Xieping Gao. “A sparse infrastructure of wavelet network for regression, ” 2010 International Symposium on Neural Networks (ISNN 2010)， Shanghai, China, 口头报告..

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