李远敏，副教授，硕士生导师，山东人。2008年7月于哈尔滨工业大学理学院数学系获理学硕士学位，2012年6月毕业于哈尔滨工业大学理学院数学系获理学博士学位。2012年7月于西安电子科技大学数学与统计学院任教。

近年来主要从事压缩感知与稀疏优化、锥优化理论与算法、随机优化理论与算法、深度学习与人工智能等相关领域的研究工作。已在国内外重要学术期刊IEEE transactions on Signal Processing, Information Sciences, Applied Mathematics and Computation, Communications in Nonlinear Science and Numerical Simulation, Optimization Letters等发表SCI检索学术论文40余篇，其中第一作者SCI检索论文20余篇。

主持国家自然科学基金青年项目（11601406）、国家自然科学基金数学天元项目（11426168）、陕西省自然科学基金面上项目（2023-JC-YB-048）、陕西省自然科学基金面上项目（2015JM1006）、陕西省自然科学基础研究计划青年人才项目(2018JQ1024)、陕西省自然科学基础研究计划青年人才项目(2014JQ1043)、教育部中央高校基本科研基金大数据项目群。另外参与多项国家科学基金面上项目和青年项目。

2020年荣获陕西省第十四届自然科学优秀学术论文奖，2015年陕西省陕西省工业与应用数学学会优秀论文奖，2016年IET SP国际期刊优秀论文优质奖。承担国际期刊IEEE Transactions on Neural Networks and Learning Systems, Neural Networks, Digital Communications and Networks, IEEE Signal Processing Letters, CNSNS, OPTL, IJCM、IET SP等的审稿人。担任国际期刊International Journal of Applied & Experimental Mathematics的编委。

担任国际期刊Fractal and Fractional（SCI检索，中科院2区, IF 5.4）的特刊Special Issue "Fractional Fourier Transform and Its Applications in Signal Analysis"的客座编辑。

https://www.mdpi.com/journal/fractalfract/special_issues/37J2A39NRW

欢迎大家踊跃投稿，谢谢支持！投稿截止日期31,October, 2024.

研究生招生：欢迎对稀疏优化、锥优化理论与随机优化、深度学习与人工智能、压缩感知与图像处理等相关领域感兴趣的同学前来咨询与报考！

目前已发表SCI检索学术论文40余篇，其中第一作者SCI检索论文20余篇。代表性论文：

1.Yuan-Min Li, Tianyv Lei, Delayed neural network based on a new complementarity function for the NCP, Expert Systems With Applications, 2024, 251, 123980.（中科院1区）

2.Yuan-Min Li, et al. A novel image encryption algorithm based on compressive sensing and a two-dimensional linear canonical transform, Fractal and Fractional, 2024, 8, 92.（中科院2区）

3.Yuan-Min Li, et al. Fast encryption algorithm based on chaotic system and cyclic shift in integer wavelet domain, Fractal and Fractional, 2024, 8, 75.（中科院2区）

4.Yuan-Min Li, Pseudomonotonicity of nonlinear transformations on Euclidean Jordan algebras, Acta Mathematicae Applicatae Sinica, English Series, 2024, 40 (1): 192-204.（数学会T2）

5.Yuan-Min Li, Deyun Wei, Lina Zhang, Double-encrypted watermark- ing algorithm based on cosine transform and fractional Fourier transform in invariant wavelet domain, Information Sciences, 2021, 551: 205-227. (Top期刊，中科院1区)

6. Deyun Wei,Yuan-Min Li, Convolution and Multichannel Sampling for the Offset Linear Canonical Transform and Their Applications, IEEE Transactions on Signal Processing, 2019, 67(23): 6009-6024. (信号处理顶级期刊)

7.Yuan-Min Li, Some P-properties of the quadratic representations and automorphism invariance in Euclidean Jordan algebras, Advances in Applied Clifford Algebras, 2017, 27 (2): 1517-1530.（中科院2区）

8. Deyun Wei,Yuan-Min Li, Generalized Sampling Expansions with Multiple Sampling Rates for Lowpass and Bandpass Signals in the Fractional Fourier Transform Domain, IEEE Transactions on Signal Processing, 2016, 64(18): 4861-4874. (信号处理顶级期刊)

9.Yuan-Min Li, Deyun Wei, A generalized smoothing Newton method for the symmetric cone complementarity problem, Applied Mathematics and Computation, 2015, 264: 335-345. (Top期刊，中科院1区)

10.Yuan-Min Li, Deyun Wei, Solvability based on E-property for the nonlinear symmetric cone complementarity problem, Applied Mathematics and Computation, 2014, 236: 437-449. (Top期刊，中科院1区)

11.Yuan-Min Li, Xing Tao Wang, Deyun Wei, A smoothing newton method for NCPs with the P0-property, Applied Mathematics and Computation, 2011, 217: 6917-6925. (Top期刊，中科院1区)

12.Yuan-Min Li, Xing Tao Wang, Deyun Wei, A new class of smoothing complementarity functions over symmetric cones, Communications in Nonlinear Science and Numerical Simulation, 2010, 15: 3299-3305. (Top期刊，中科院1区)