李海锋,男,19846月生,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, 硕士;

        2011.92014.6,华南理工大学, 博士;        

工作经历: 2014.72019.4,,讲师;

       2019.4-2025.2,,副教授;

       2025.3-至今,,教授

  

 研究领域

研究方向:压缩感知、稀疏优化

  

 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

  12015-2016年度“三育人”先进个人

  22016-2018年度优秀教师

  

 科研项目

1)国家自然科学基金天元专项基金,11526081, 主持,2016.1-2016.12,已结项。

2)河南省高等学校重点科研项目计划,18A120009,主持,2018.1-2019.12,已结项。

3)河南省重点研发与推广(科技攻关),192102310448,主持,2018.1-2019.12,已结项。

4)中国博士后科学基金面上项目,2019M660557,主持,2019.11-2021.6,已结项。

5)国家自然科学基金青年科学基金,61907014,主持,2020.1-2022.12,已结项。

6)国家自然科学基金天元访问基金,12226341,主持,2023.1-2023.12,已结项。

7)河南省自然科学基金面上项目,242300420252,主持,2024.1-2025.12,在研。

8)河南省高等学校重点科研项目计划,24A120007,主持,2024.1-2025.12,在研。

9)河南省青年骨干教师计划,2023GGJS037,主持,2024.1-2026.12,在研。

  

 论文著作

(35) Haifeng Li, Wengu Chen, An improved theoretical analysis of convolutional sparse coding using stripe coherence, Journal of Computational and Applied Mathematics, 2025, 469: 116631.

(34) Haifeng Li, L. Guo, A new analysis for support recovery of OLS and OMP with partial support informationCircuits, Systems, and Signal Processing, 2025, 44: 3324–3346. (SCI)

(33) Haifeng Li, L. Guo, Theroretical analysis for l1-l2 minimization with partial support information, Applications of Mathematics, 2025, 70: 125-148. (SCI)

(32) Haifeng Li, P. Wang, Theroretical analysis for support recovery with l1/lp based on mutual coherence, Discrete and Continuous Dynamical Systems - Series S, 2025, 18(3): 621-637. (SCI)

(31) Haifeng Li, L. Guo, Theoretical analysis of GOMP based on RIP and ROC, Japan Journal of Industrial and Applied Mathematics, 2024, 41: 1277–1292. (SCI)

(30) Haifeng Li, H. Ying, X. Liu, Binary generalized orthogonal matching pursuit, Japan Journal of Industrial and Applied Mathematics, 2023, 4: 1-12. (SCI)

(29) Haifeng Li, and J. Zhang. Required number of iterations for sparse signal recovery via orthogonal least squares, Journal of Computational Mathematics, 2023,     41(1): 1-17, (SCI)

(28) Haifeng Li, and H. Ying. The analysis of completely perturbed model based on RIP via orthogonal least squares, IET Signal Processing, 2022: 1-12. (SCI)

(27) Haifeng Li, and Q. Chen. Analysis of non-negative block orthogonal matching pursuit, Wireless Personal Communications, 2022, 126: 1209-1222. (SCI)

(26) Haifeng Li, and H. Ying. An improved RIP based condition for support recovery with NR-A*OMP in the presence of general perturbation, Digital Signal Processing, 2022,     127: 103568. (SCI)

(25) Haifeng Li, and J. Zhang. A new sufficient condition for sparse recovery with multiple orthogonal least squares, Acta Mathematica Scientia, 2022, 42B(3): 941-956.     (SCI)

(24) Haifeng Li, J. Wen, J. Xian, and J. Zhang. Nearly optimal number of iterations for sparse signal recovery with orthogonal multi-matching pursuit, Inverse Problem,     2021, 37: 115007. (SCI)

(23) J. Wen, and Haifeng Li. Binary sparse signal recovery with binary matching pursuit,  Inverse Problem, 2021, 37: 065014. (SCI) 通讯作者.

(22) 李海锋,谌稳固,温金明. 噪声干扰下m^2OLS算法的稀疏重构理论研究, 中国科学(中文版),2021,  51(9): 1451-1460. 中文核心

(21) Haifeng Li, and W. Chen. RIP based condition for support recovery with A*OMP in the presence of noise, IET Signal Processing, 2020, 14: 307-313. (SCI)

(20) 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)

(19) Haifeng Li,  Jinming Wen, Generalized covariance-assisted matching pursuit, Signal Processing, 2019, 163, 231-237. (SCI)

(18) 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)

(17) Haifeng Li, Jian Wang and Xin Yuan, On the Fundamental Limit of Multipath Matching Pursuit, IEEE Journal of  Selected Topics in Signal Processing, 2018,12(5)916-917. (SCI)

(16) 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)

(15) 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)

(14) Haifeng Li. Comment on “Strong recovery conditions for least support orthogonal matching pursuit in noisy case”, Electronics Letters. 2017, 53(10): 659-660.  (SCI)

(13) 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)

(12) Haifeng Li. The weighted  minimization for partially known support, Wireless Personal Communications, 2016, 91(1): 255-265.     (SCI)

(11) Haifeng Li. Improved analysis of SP and CoSaMP under total perturbations, Eurasip Journal on Advances in Signal Processing, 2016, 112: 1-6. (SCI)

(10) 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)

(9) 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)

(8) Yuli Fu, Haifeng Li, Qiheng Zhang and Jian Zou. Block-sparse recovery via redundant block OMP, Signal Processing. 2014 , 97(4) : 162-171. (SCI)

(7) 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)

(6) 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)

(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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