Education Background： 9/2014--10/2019：Ph.D. in School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China. 9/2011--7/2014：M.S. in School of Mathematics and Statistics, Zhengzhou University, Zhengzhou, China. 9/2007--7/2011：B.S. in School of Mathematics and Statistics, Zhoukou Normal University, Zhoukou, China. |
Main Publications: [1] Zhang X*, Xu W, Cui Y, et al. Recovery Performance of IHT and HTP Algorithms under General Perturbations [J]. IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences, 2018, 101(10): 1698-1702. [2] Zhang X*, Xu W, Tian Y, et al. Improved analysis of orthogonal matching pursuit in general perturbations [J]. Electronics Letters, 2018, 54(5): 295-297. [3] Zhang X*, Xu W, Tian Y, et al. Improved Analysis for SOMP Algorithm in Terms of Restricted Isometry Property [J]. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2020, 103(2): 533-537. [4] Zhang X, Xu W, Cui Y, et al. On recovery of block sparse signals via block compressive sampling matching pursuit [J]. IEEE Access, 2019, 7: 175554-175563. [5] Li Z, Xu W, Zhang X, et al. A survey on one-bit compressed sensing: Theory and applications [J]. Frontiers of Computer Science, 2018, 12(2): 217-230. [6] Zhang X*, Xu W, Lin J, et al. Block normalised iterative hard thresholding algorithm for compressed sensing [J]. Electronics Letters, 2019, 55(17): 957-959. [7]Tang W, Xu W, Zhang X, et al. A low-cost channel feedback scheme in mmWave massive MIMO system[C]//2017 3rd IEEE International Conference on Computer and Communications (ICCC). IEEE, 2017: 89-93. [8] Tang W, Xu W, Zhang X, et al. Recovery methods for 1-bit compressed sensing based on Hamming distance[C]//2017 3rd IEEE International Conference on Computer and Communications (ICCC). IEEE, 2017: 1362-1366. |
