李海锋，男，1984年6月生，副教授，博士。
E-mail:lihaifeng@htu.edu.cn
通信地址： 数学与信息科学学院
邮　　编： 453007


　
个人简历

教育经历：
2004.9－2008.7，黄淮学院，本科；
2008.9－2011.7，河南师范大学, 硕士；
2011.9－2014.7，华南理工大学, 博士；
工作经历：
2014.7－2019.4，河南师范大学，讲师;
2019.4－至今，河南师范大学，副教授;
　
研究领域

研究领域：
研究方向：
　
教学工作

主讲本科生课程：《 高等数学》、《微积分 》、《 概率论 》、《概率论与数理统计》
主讲研究生课程：《矩阵分析与应用 》
　
获奖情况

（1） 河南师范大学2015-2016年度“三育人”先进个人
（2） 河南师范大学2016-2018年度优秀教师
　
科研项目

（1） 国家自然科学基金天元基金，“压缩感知中正交匹配追踪算法的理论研究”， 主持。
（2） 河南省高等学校重点科研项目计划,“基于框架的压缩感知重建算法理论及其应用研究”，主持。
（3） 河南省重点研发与推广（科技攻关），“基于框架稀疏的非负信号重建理论及应用研究”，主持。
（4） 国家自然科学基金青年基金，“基于A*OMP算法的稀疏信号重构理论及应用研究”，主持。
　
论文著作

(22) Haifeng Li, Guoqi Liu, and Jian Zou, Sufficient condition for exact support recovery of sparse signals through greedy block coordinate descent, IET Signal Processing, 2019, 13(2), 176-182. (SCI)
(21) Haifeng Li, Jinming Wen, Generalize d covariance-assisted matching pursuit, Signal Processing, 2019, 163, 231-237. (SCI)
(20) Haifeng Li, Jinming Wen, A new analysis for support recovery with block orthogonal matching pursuit, IEEE Signal Processing Letters, 2019, 26(2), 247-251. (SCI)
(19) Haifeng Li, Jian Wang and Xin Yuan, On the Fundamental Limit of Multipath Matching Pursuit[J], IEEE Journal of Selected Topics in Signal Processing, 2018， 12(5)，916-917. (SCI)
(18) Haifeng Li and Guoqi Liu, An Improved Analysis for Support Recovery With Orthogonal Matching Pursuit Under General Perturbations, IEEE Access, 2018, 18856-18867. (SCI)
(17) Haifeng Li, Yingbin Ma and Yuli Fu, An improved RIP-based performance guarantee for sparse signal recovery via simultaneous orthogonal matching pursuit. Signal Processing, 2018, 144: 29-35. (SCI)
(16) Haifeng Li, Jing Zhang and Jian Zou, Improving the bound on the RIP constant in
multiple orthogonal least squares. IET Signal Processing, 2018, 666-671. (SCI)
(15) Haifeng Li. Comment on “Strong recovery conditions for least support orthogonal matching pursuit in noisy case”. Electronics Letters. 2017, 53(10): 659-660. (SCI)
(14) Haifeng Li and Guoqi Liu. Perturbation analysis of signal space fast iterative hard thresholding with redundant dictionaries. IET Signal Processing, 2017, 11(4): 462-468. (SCI)
(13) Haifeng Li. The weighted minimization for partially known support. Wireless Personal Communications, 2016, 91(1): 255-265. (SCI).
(12) Haifeng Li. Improved analysis of SP and CoSaMP under total perturbations. Eurasip Journal on Advances in Signal Processing, 2016, 112: 1-6. (SCI).
(11) Haifeng Li, Yingbin Ma, WenAn Liu and Yuli Fu. Improvedanalysisofgreedyblock coordinate descent under RIP. Electronics Letters, 2015, 51(6): 488-490. (SCI).
(10) Haifeng Li, Yuli Fu, Rui Hu and Rong Rong. Perturbation analysis of greedy block coordinate descent under RIP. IEEE Signal Processing Letters, 2014, 21(5): 518-522. (SCI).
(9) Yuli Fu, Haifeng Li, Qiheng Zhang and Jian Zou. Block-sparse recovery via redundant block OMP, Signal Processing. 2014 , 97(4) : 162-171. (SCI).
(8) Haifeng Li, Yuli Fu, Qiheng Zhang and Rong Rong. A generalized hard thresholding pursuit algorithm. Circuits, Systems, and Signal Processing, 2014, 33(4): 1313-1323. (SCI).
(7) Haifeng Li, Rui Li and Bei Li. Block MMV for the reconstruction of multiband signals. Proceedings of the 34th Chinese Control Conference, 2015: 4523-4528. (EI).
(6) Guoqi Liu, Haifeng Li, Liu Yang, A topology preserving method of evolving contours based on sparsity constraint for object segmentation. IEEE Access, 2017, 5: 19971-19982. (SCI)
(5) Jian Zou, Yuli Fu, Qiheng Zhang and Haifeng Li. Split Bregman algorithms for multiple measurement vector problem. Multidimensional System Signal Processing, 2015, 26(1)：207-224. (SCI).
(4) Qiheng Zhang, Yuli Fu, Haifeng Li and Rong Rong. Optimised projections for generalised distributed compressed sensing. Electronics Letters, 2014, 50(7): 520-521. (SCI).
(3) Qiheng Zhang, Yuli Fu, Haifeng Li and Rong Rong. Optimized projection matrix for compressed sensing. Circuits System and Signal Processing, 2014, 33(5): 1627-1636. (SCI).
(2) Yuli Fu, Jian Zou, Qiheng Zhang and Haifeng Li. Recoverability analysis of block-sparse representation. Journal of Systems Engineering and Electronics, 2014, 25(3): 373-379. (SCI).
(1) Qiheng Zhang, Yuli Fu, Haifeng Li and Jian Zou. Dictionary learning method for joint sparse representation-based image fusion. Optical Engineering, 2013, 52(5): 1-11. (SCI).