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李海鋒
發(fā)布時(shí)間: 2015-12-31   瀏覽次數(shù): 9176

 

  

 

  李海鋒,男,,19846月生,,副教授,,博士,。 

  E-mail: [email protected]        

  通信地址: 數(shù)學(xué)與信息科學(xué)學(xué)院 

  郵  編: 453007

  

  

  個(gè)人簡歷

  教育經(jīng)歷: 2004.92008.7,,黃淮學(xué)院,,本科,;

          2008.92011.7,,河南師范大學(xué), 碩士,;

        2011.92014.6,華南理工大學(xué), 博士,;        

工作經(jīng)歷: 2014.72019.4,,河南師范大學(xué),講師,;

       2019.4-至今,,河南師范大學(xué),副教授

  

 研究領(lǐng)域

研究方向:壓縮感知、稀疏優(yōu)化

  

 教學(xué)工作

主講本科生課程:《高等數(shù)學(xué)》,、《微積分》,、《概率論》、《概率論與數(shù)理統(tǒng)計(jì)》

主講研究生課程:《矩陣分析與應(yīng)用》  

  

 獲獎(jiǎng)情況

  1)河南師范大學(xué)2015-2016年度“三育人”先進(jìn)個(gè)人

  2)河南師范大學(xué)2016-2018年度優(yōu)秀教師

  

 科研項(xiàng)目

1)國家自然科學(xué)基金天元專項(xiàng)基金,,11526081, 主持,,2016.1-2016.12,已結(jié)項(xiàng),。

2)河南省高等學(xué)校重點(diǎn)科研項(xiàng)目計(jì)劃,18A120009,,主持,2018.1-2019.12,,已結(jié)項(xiàng),。

3)河南省重點(diǎn)研發(fā)與推廣(科技攻關(guān)),192102310448,主持,,2018.1-2019.12,,已結(jié)項(xiàng)。

4)中國博士后科學(xué)基金面上項(xiàng)目,,2019M660557,主持,,2019.11-2021.6,已結(jié)項(xiàng),。

5)國家自然科學(xué)基金青年科學(xué)基金,,61907014,主持,,2020.1-2022.12,,已結(jié)項(xiàng)。

6)國家自然科學(xué)基金天元訪問基金,,12226341,,主持,2023.1-2023.12,,已結(jié)項(xiàng),。

7)河南省自然科學(xué)基金面上項(xiàng)目,242300420252,,主持,,2024.1-2025.12,在研,。

8)河南省高等學(xué)校重點(diǎn)科研項(xiàng)目計(jì)劃,24A120007,,主持,2024.1-2025.12,,在研,。

9)河南省青年骨干教師計(jì)劃,,2023GGJS037,主持,,2024.1-2026.12,,在研。

  

 論文著作

(33) Haifeng Li, L. Guo, Theroretical analysis for l1-l2 minimization with partial support information, Applications of Mathematics, 2024, online, (SCI)

(32) 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)

(31) Haifeng Li, P. Wang, Theroretical analysis for support recovery with l1/lp based on mutual coherence, Discrete and Continuous Dynamical Systems - Series S, 2024, 4:     1-17. (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) 通訊作者.

(22) 李海鋒,,諶穩(wěn)固,,溫金明. 噪聲干擾下m^2OLS算法的稀疏重構(gòu)理論研究, 中國科學(xué)(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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