王学忠，男，汉族，1977年9月生，甘肃民乐人。1996--2000年在西北师范大学数学系攻读数学与应用数学专业学士学位。毕业后到河西学院任教。2004年考入电子科技大学数学科学学院计算数学专业攻读硕士学位，2007年5月获得理学硕士学位。2014年考入复旦大学数学科学学院计算数学专业攻读博士学位，2018年6月获得理学博士学位。2018年9月至2019年3月在香港浸会大学做访问学者。现为河西学院数学学院教授，硕士研究生导师，河西学院祁连青年骨干教师，数学学院副院长。担任中国数学会会员，甘肃省高等学校大学数学课程教学指导与教材建设委员会委员、河西学院第十三届教学督导委员会委员。研究方向为神经网络、矩阵理论与计算、张量分解、张量方程组和张量互补问题的理论与高效算法。

一、主持项目

1.基于随机梯度的神经网络计算玻色-爱因斯坦凝聚的基态，甘肃省高校科研创新和能力提升项目，2019；

2. 张量方程组和张量互补问题的稀疏解和高效算法研究，国家自然科学基金地区项目，2021；

3. 矩阵W-权Drazin逆的计算和扰动界，河西学院博士科研启动基金项目，2019；

4.时变张量线性系统整体最小二乘解的高效算法及其在信号处理中的应用研究，甘肃省自然科学基金，2023；

5. 河西学院课程思政示范课建设项目《高等数学》，2020；

6.“四新”背景下河西学院高等数学课程线上辅助教学改革，河西学院教学研究重点项目，2022；

7.多学科交叉的数据科学与大数据技术专业人才培养体系探索，河西学院创新创业教育研究项目，2023；

二、主要论文目录

1. Ping Wei, Jiahua Li, Xuezhong Wang, An Fixed Point Iterative Method for TensorComplementarity Problems, Engineering Letters, 2023, 31(1):154-158

2. Xuezhong Wang, Ping Wei, Yimin Wei, A Fixed Point Iterative Method for Thirdorder Tensor Linear Complementarity Problems,Journal of Optimization Theoryand Applications, 2023,197:334-357

3. Ping Wei, Xuezhong Wang, Yimin Wei, Neural network models for time-varyingtensor complementarity problems, Neurocomputing, 2023, 523:18-32

4. Maolin Che, Xuezhong Wang, Yiming Wei, Xile Zhao, Fast randomized tensor singular value thresholding for low-rank tensor optimization, Numer. Linear AlgebraAppl.,2022, 29(6)

5. Xuezhong Wang, Maolin Che, Changxin Mo, Yimin Wei, Solving the system of non-singular tensor equations via randomized Kaczmarz-like method, Journal of Computational and Applied Mathematics, 2022, 114856

6. Guang-Jing Song, Xuezhong Wang, Michael K.Ng, Riemannian conjugate gradient descent method for fixed multi rank third-order tensor completion, Journal ofComputational and Applied Mathematics, 2022, 114866

7. Xuezhong Wang, Maolin Che, Yimin Wei, Randomized Kaczmarz methods for tensorcomplementarity problems, Computational Optimization and Applications, 2022,82:595-615

8. Xuezhong Wang, Changxin Mo, Sanzheng Qiao, Yimin Wei, Predefined-Time Convergent Neural Networks for Solving the Time-Varying Nonsingular Multi-LinearTensor Equations, Neurocomputing, 2022, 472:68-84

9. Xuezhong Wang, Changxin Mo, Maolin Che, Yimin Wei, Accelerated DynamicalApproaches for Finding the Unique Positive Solution of KS-tensor Equations, Numerical Algorithms, 2021, 88:1787-1810.

10. Xuezhong Wang, Maolin Che, Yimin Wei, Preconditioned tensor splitting AOR iterative methods for H-tensor equations, Numer Linear Algebra Appl. 2020; 27:e2329

11. Xuezhong Wang, Maolin Che, Yimin Wei, Tensor neural network models for tensor singular value decompositions, Computational Optimization and Applications,2020,75:753-777

12. Xuezhong Wang, Maolin Che, Yimin Wei, Neural network approach for solving nonsingular multi-linear tensor systems, Journal of Computer and Applied Mathematics, 2020, 368:112569

13. Xuezhong Wang, Maolin Che, Liqun Qi, Yimin Wei, Modified gradient dynamic approach to the tensor complementarity problem, Optimization Methods and Software,2020, 35(2): 394-415

14. Xuezhong Wang, Maolin Che, Yimin Wei, Existence and uniqueness of positivesolution for H+- tensor equations, Applied Mathematics Letters, 2019, 98:191-198

15.Changxin Mo, Xuezhong Wang, Yimin Wei, Time-varying generalized tensor eigenanalysis via Zhang neural networks, Neurocomputing, 2020, 407:465-479

16. Changxin Mo, Chaoqian Li, Xuezhong Wang, Yimin Wei, Z-eigenvalues basedstructured tensors: Mz-tensors and strong Mz-tensors,Computational and AppliedMathematics, 2019, 38(4):175

17. Maolin Che, Xuezhong Wang, Yimin Wei, A Unified Self-Stabilizing Neural NetworkAlgorithm for Principal Takagi Component Extraction. Neural Processing Letters,2020,51(1): 591-610

18. Xuezhong Wang, Maolin Che, Yimin Wei, Global uniqueness and solvability of tensorcomplementarity problems for H+-tensors, Numerical Algorithms, 2020,84:567-590

19. Xuezhong Wang, Maolin Che, Yimin Wei, Neural networks based approach solvingmulti-linear systems with M-tensors, Neurocomputing, 2019, 51:33-42

20. Predrag S. Stanimirovic, Xuezhong Wang, Haifeng Ma, Complex ZNN for computingtime-varying weighted pseudo-inverses, Applicable Analysis and Discrete Mathematics, 2019, 13:131-164

21. Xuezhong Wang, Yimin Wei, Predrag S. Stanimirovic, Complex ZFs for ComputingTime-Varying Complex Outer Inverses, Neurocomputing, 2018, 275:983–1001

22. Sanzheng Qiao, Xue-Zhong Wang, YiminWei, Two finite-time convergent Zhangneural network models for time-varying complex matrix Drazin inverse, Linear Algebra Appl. 2018, 542:101–117

23. Xuezhong Wang, Maolin Che, Yimin Wei, Partial orthogonal rank-one decomposition of complex symmetric tensors based on the takagi factorization, Journal ofComputational and Applied Mathematics, 2018, 332:56–71

24. Xuezhong Wang, Maolin Che, Yimin Wei, Neural network for the Computation ofthe Best Rank-One Approximation of the real 4-order Partially Symmetric Tensorswith its Generalizations, Numerical Mathematics:Theory, Methods and Applications, 2018, 11(4): 673-700

25. Predrag S. Stanimirovic, Ivan S. Zivkovic, Dimitrios Gerontitis, Xuezhong Wang,ZNN models for computing matrix inverse based on hyperpower iterative methods,Filomat, 2017, 31(10): 2999-3014

26. Xuezhong Wang, Haifeng Ma, Predrag S. Stanimirovi´c, Recurrent neural network forcomputing the W-weighted Drazin inverse, Applied Mathematics and Computation,2017, 300:1–20

27. Xuezhong Wang, Maolin Che, Yimin Wei, Complex-valued neural networks for theTakagi vector of complex symmetric matrices, Neurocomputing, 2017, 223:77–85

28. Xuezhong Wang, Haifeng Ma, Predrag S. Stanimirovic, Nonlinearly Activated Recurrent Neural Network for Computing the Drazin Inverse, Neural Processing Letters,2017,46:195–217

29. Xuezhong Wang, Hai-feng Ma, Marija Cvetkovic, A Note on the Perturbation Bounds of W-weighted Drazin Inverse of Linear Operator in Banach Space, Filomat, 2017,31(2):505–511

30. Xuezhong Wang, Maolin Che, Yimin Wei, Recurrent neural network for computation of generalized eigenvalue problem with real diagonalizable matrix pair and itsapplications, Neurocomputing, 2016,216:230–241

31. Xuezhong Wang, Yimin Wei, Predrag S. Stanimirovic, Complex Neural NetworkModels for Time-Varying Drazin Inverse, Neural Computation, 2016,28:2790–2824

32. Xuezhong Wang, Cuixia Li, A note on the parallel GSAOR method for block diagonally dominant matrices, Journal of Numerical Mathematics, 2016,1(24):35–44

33. XuezhongWang Hai-feng Ma, Jovana Nikolov Radenkovic, A note on the perturbation bounds of W-weighted Drazin inverse, Linear and Multilinear Algebra, 2016,64:1-12

34. Xuezhong Wang, Yimin Wei, H-tensors and nonsingular H-tensors, Frontiers ofMathematics in China, 2016,11(3):557–575

35. Xuezhong Wang, Yimin Wei, Bounds for eigenvalues of nonsingular H-tensor, Electronic Journal of Linear Algebra, 2015,29(1):3–16

36. Xuezhong Wang, Convergence of H-double Splitting for H-matrices, Results in Mathematics, 2014,66(1):125–135

37. Xuezhong Wang, Ting-Zhu Huang, Ying-Ding Fu, Comparison results on preconditioned SOR-type iterative method for Z-matrices linear systems, Journal of Computational and Applied Mathematics, 2007,206(2):726–732

38. Tingzhu Huang, Xue-Zhong Wang, Ying-Ding Fu, Improving Jacobi methods fornonnegative H-matrices linear systems, Applied Mathematics and Computation,2007,186(2):1542–1550

三、获奖情况

1.2011年获甘肃省第八届“挑战杯”优秀指导教师奖；

2.2013年获甘肃省第九届“挑战杯”优秀指导教师奖；

3.2013年获河西学院优秀班主任称号；

4.2014年获得河西学院教学优秀奖；

5.2015年获甘肃省第十届“挑战杯”优秀指导教师奖；

6.2016年指导学生获得全国大学生数学建模竞赛甘肃赛区特等奖；

7.2017年获得甘肃省高校科技进步三等奖；

8.2017年指导学生获得全国大学生数学建模竞赛甘肃赛区一等奖；

9.2020年河西学院优秀班主任称号；

10.2021年指导学生获得全国大学生数学建模竞赛甘肃赛区二等奖；

11.2022年指导学生获得全国大学生数学建模竞赛甘肃赛区一等奖；

12.2023年获得河西学院优秀教师称号；

13.2023年获得河西学院教学成果二等奖；

14.2024年获得优秀班主任称号；

15.2024年获得河西学院教学成果特等奖。

四、开设课程

为本科生开设课程《高等代数》《高等代数与解析几何》《数值分析》《高等数学》《线性代数》。