个人简介

副教授，硕士生导师

研究兴趣

主要研究方向：数值线性代数，高维数据分析，数字信号与图像处理。

主讲课程

《高等代数》、《高维数据分析》、《线性代数》

学习经历

2008年9月-2012年6月，北京化工大学，信息与计算科学，理学学士；

2012年9月-2015年1月，北京航空航天大学，数学，理学硕士；

2015年9月-2019年6月，北京航空航天大学，应用数学，理学博士；

2017年2月-2018年2月，英国伯明翰大学，应用数学，访问博士。

工作经历

2019年7月-2020年12月，William威廉William威廉，讲师；

2021年1月至今，William威廉William威廉，副教授。

主要获奖荣誉

1. 北京市优秀本科毕业论文指导教师（2024）；

2. 优秀硕士学位论文指导教师（2023）；

3. 优秀班主任（2023）；

4. 师德优秀教师（2022，2023）；

5. 工会积极分子（2020，2021，2022，2023）.

主要科研项目

1. 国家自然科学基金青年基金，图像复原中结构化线性方程组的预处理方法研究，2021/01-2023/12，主持；

2. 国家自然科学基金面上项目，电磁干扰信号的数学表征方法与理论研究，2018/01-2021/12，参与.

主要学术成果

1. Wang Chaojie, Li T., Liu H., Matrix separation-based preconditioning for solving two-sided space-fractional diffusion equations with variable coefficients, Numerical Algorithms, (2026) https://doi.org/10.1007/s11075-025-02303-6

2. Liu H., Wang Chaojie, Lv S., Laguerre spectral method for time fractional mixed diffusion-wave equations with weak singularity, International Journal of Computer Mathematics, (2026) https://doi.org/10.1080/00207160.2026.2637678

3. Cheng J., Wang Chaojie*, Dynamic neighborhood selection for regularized local linear embedding with elastic networks, Neurocomputing, 634 (2025) no. 129900.

4. Wang Chaojie, Sun S., Chen J., Liu B., Approximate Schur complement preconditioners for half‐quadratic image restoration with zero boundary conditions, Journal of Mathematics, 1 (2025) no. 9935466.

5. Zhang X., Wang Chaojie*, Structure Approximation-Based Preconditioning for Solving Tempered Fractional Diffusion Equations, Algorithms, 18 (2025) no. 307.

6. Kang S., Zhang X., Wang Chaojie*, Li T., Shao S., A Research of Preconditioning Method for Structured Systems in Numerical Solutions of Spatial Fractional Diffusion Equations, Advances in Applied Mathematics, 14 (2025) 453-463.

7. Sun S., Wang Chaojie*, Liu B., Chen J., A Review of Preconditioners for Structured Systems Arising from Half-Quadratic Image Restoration, Advances in Applied Mathematics, 13 (2024) 159-168.

8. Wang, Chaojie, Chen J., Sun S., A matching-strategy-inspired preconditioning for elliptic optimal control problems, Mathematics, 11 (2023) no. 2599.

9. Wang Chaojie, Ju J., Geodesic affinity propagation clustering based on angle-based outlier factor, IEEE Access, 11 (2023) 43619-43629.

10. Wang Chaojie, A pattern-spectrum-based AP method for classification of noised speech signals, ACM International Conference Proceeding Series, November 26, 2021.

11. Wang Chaojie, On the component properties of the EMD method, 5th International Conference on Digital Signal Processing, ICDSP 2021, Pages 302-307.

12. Wang Chaojie, A sample entropy inspired affinity propagation method for bearing fault signal classification, Digit. Signal Process. 102 (2020) no. 102740.

13. Wang, Chaojie, Li, H., Zhao, D., Improved block preconditioners for linear systems arising from half-quadratic image restoration, Appl. Math. Comput. 363 (2019) no. 124614.

14. Wang, Chaojie, Li, H., Zhao, D., A Preconditioning Framework for the Empirical Mode Decomposition Method, Circ. Syst. Signal Pr. 37 (2018) 5417-5440.

15. Wang, Chaojie, Li, H., Zhao, D., Preconditioning Toeplitz-plus-diagonal linear systems using the Sherman–Morrison–Woodbury formula, J. Comput. Appl. Math. 309 (2017) 312-319.

16. Wang, Chaojie, Li, H., Zhao, D., An explicit formula for the inverse of a pentadiagonal Toeplitz matrix, J. Comput. Appl. Math. 278 (2015) 12-18.

17. Li, H., Wang, Chaojie, Zhao, D., Preconditioning for PDE-constrained optimization with total variation regularization, Appl. Math. Comput. 386 (2020) no. 125470.

18. Li, H., Wang, Chaojie, Zhao, D., Filter bank properties of envelope modified EMD methods, IET Signal Process.12 (2018) 844-851.

19. Li, H., Wang, Chaojie, Zhao, D., An Improved EMD and Its Applications to Find the Basis Functions of EMI Signals, Math. Probl. Eng. (2015) no. 150127.

20. Wang, Chaojie, Li, H., Xiang, W., Zhao, D., A new signal classification method based on EEMD and FCM and its application in bearing fault diagnosis, Applied Mechanics and Materials, 602-605 (2014) 1803-1806.