李海锋
发布时间: 2015-12-31   浏览次数: 3100


  
李海锋,男,19846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:        

2004.92008.7,黄淮学院,本科;

2008.92011.7,河南师范大学, 硕士;

2011.92014.7,华南理工大学, 博士;          

工作经历:         

2014.72019.4 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. Improved analysis of greedy block 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).

 

 

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