bingtan

Bing Tan

PhD candidate in Mathematical Optimization
University of Electronic Science and Technology of China

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Contact me: [email protected]

Homepage: https://bingtan.me





Biography

I am a PhD candidate in Mathematical Optimization at University of Electronic Science and Technology of China, co-advised by Prof. Songxiao Li and Prof. Xiaolong Qin. Prior to that, I received a B.Sc. in Applied Mathematics from Southwest Petroleum University. My research interests lie at the intersection of optimization and image processing. I currently work on designing fast and practical algorithms for optimization problems in Hilbert spaces.

Journal reviewer

Social service

Publications

[Google Scholar]    [MathSciNet]    [Publons]    [ResearchGate]

2021

  1. Bing Tan, Xiaolong Qin*, Jen-Chih Yao. Strong convergence of self-adaptive inertial algorithms for solving split variational inclusion problems with applications. Journal of Scientific Computing. 2021, 87(1), Article ID 20. [Link] [Cite]

    Tan, B., Qin, X., Yao, J.C.: Strong convergence of self-adaptive inertial algorithms for solving split variational inclusion problems with applications. J. Sci. Comput. 87, Article ID 20 (2021)

  2. Bing Tan, Xiaolong Qin*, Jen-Chih Yao. Two modified inertial projection algorithms for bilevel pseudomonotone variational inequalities with applications to optimal control problems. Numerical Algorithms. 2021, https://doi.org/10.1007/s11075-021-01093-x. [Link] [Cite]

    Tan, B., Qin, X., Yao, J.C.: Two modified inertial projection algorithms for bilevel pseudomonotone variational inequalities with applications to optimal control problems. Numer. Algorithms. https://doi.org/10.1007/s11075-021-01093-x (2021)

  3. Bing Tan, Liya Liu, Xiaolong Qin*. Self adaptive inertial extragradient algorithms for solving bilevel pseudomonotone variational inequality problems. Japan Journal of Industrial and Applied Mathematics. 2021, 38(2), 519–543. [Link] [Cite]

    Tan, B., Liu, L., Qin, X.: Self adaptive inertial extragradient algorithms for solving bilevel pseudomonotone variational inequality problems. Jpn. J. Ind. Appl. Math. 38, 519-543 (2021)

  4. Bing Tan, Jingjing Fan, Songxiao Li*. Self-adaptive inertial extragradient algorithms for solving variational inequality problems. Computational & Applied Mathematics. 2021, 40(1), Article ID 19. [Link] [Cite]

    Tan, B., Fan, J., Li, S.: Self-adaptive inertial extragradient algorithms for solving variational inequality problems. Comput. Appl. Math. 40, Article ID 19 (2021)

  5. Bing Tan, Zheng Zhou, Songxiao Li*. Viscosity-type inertial extragradient algorithms for solving variational inequality problems and fixed point problems. Journal of Applied Mathematics and Computing. 2021, https://doi.org/10.1007/s12190-021-01576-z. [Link] [Cite]

    Tan, B., Zhou, Z., Li, S.: Viscosity-type inertial extragradient algorithms for solving variational inequality problems and fixed point problems. J. Appl. Math. Comput. https://doi.org/10.1007/s12190-021-01576-z (2021)

  6. Bing Tan, Sun Young Cho*. Self-adaptive inertial shrinking projection algorithms for solving pseudomonotone variational inequalities. Journal of Nonlinear and Convex Analysis. 2021, 22(3), 613–627. [Link] [Cite]

    Tan, B., Cho, S.Y.: Self-adaptive inertial shrinking projection algorithms for solving pseudomonotone variational inequalities. J. Nonlinear Convex Anal. 22, 613-627 (2021)

  7. Bing Tan, Sun Young Cho*. Inertial extragradient methods for solving pseudomonotone variational inequalities with non-Lipschitz mappings and their optimization applications. Applied Set-Valued Analysis and Optimization. 2021, 3(2), 165–192. [Link] [Cite]

    Tan, B., Cho, S.Y.: Inertial extragradient methods for solving pseudomonotone variational inequalities with non-Lipschitz mappings and their optimization applications. Appl. Set-Valued Anal. Optim. 3, 165-192 (2021)

  8. Bing Tan, Sun Young Cho*. Strong convergence of inertial forward–backward methods for solving monotone inclusions. Applicable Analysis. 2021, https://doi.org/10.1080/00036811.2021.1892080. [Link] [Cite]

    Tan, B., Cho, S.Y.: Strong convergence of inertial forward--backward methods for solving monotone inclusions. Appl. Anal. https://doi.org/10.1080/00036811.2021.1892080 (2021)

  9. Liya Liu, Bing Tan, Abdul Latif*. Approximation of fixed points for a semigroup of Bregman quasi-nonexpansive mappings in Banach spaces. Journal of Nonlinear and Variational Analysis. 2021, 5(1), 9–22. [Link] [Cite]

    Liu, L., Tan, B., Latif, A.: Approximation of fixed points for a semigroup of Bregman quasi-nonexpansive mappings in Banach spaces. J. Nonlinear Var. Anal. 5, 9-22 (2021)

  10. Jingjing Fan*, Bing Tan, Songxiao Li. An explicit extragradient algorithm for equilibrium problems on Hadamard manifolds. Computational & Applied Mathematics. 2021, 40(2), Article ID 68. [Link] [Cite]

    Fan, J., Tan, B., Li, S.: An explicit extragradient algorithm for equilibrium problems on Hadamard manifolds. Comput. Appl. Math. 40, Article ID 68 (2021)

  11. Zheng Zhou*, Bing Tan, Songxiao Li. An accelerated hybrid projection method with a self-adaptive step-size sequence for solving split common fixed point problems. Mathematical Methods in the Applied Sciences. 2021, 44(8), 7294–7303.  [Link] [Cite]

    Zhou, Z., Tan, B., Li, S.: An accelerated hybrid projection method with a self-adaptive step-size sequence for solving split common fixed point problems. Math. Methods Appl. Sci. 44, 7294-7303 (2021)

2020

  1. Bing Tan*, Songxiao Li. Strong convergence of inertial Mann algorithms for solving hierarchical fixed point problems. Journal of Nonlinear and Variational Analysis. 2020, 4(3), 337–355. [Link] [Cite]

    Tan, B., Li, S.: Strong convergence of inertial Mann algorithms for solving hierarchical fixed point problems. J. Nonlinear Var. Anal. 4, 337-355 (2020)

  2. Bing Tan, Shanshan Xu, Songxiao Li*. Inertial shrinking projection algorithms for solving hierarchical variational inequality problems. Journal of Nonlinear and Convex Analysis. 2020, 21(4), 871–884. (ESI Highly Cited Paper) [Link] [Cite]

    Tan, B., Xu, S., Li, S.: Inertial shrinking projection algorithms for solving hierarchical variational inequality problems. J. Nonlinear Convex Anal. 21, 871-884 (2020)

  3. Bing Tan, Shanshan Xu, Songxiao Li*. Inertial hybrid and shrinking projection algorithms for solving variational inequality problems. Journal of Nonlinear and Convex Analysis. 2020, 21(10), 2193–2206. [Link] [Cite]

    Tan, B., Xu, S., Li, S.: Inertial hybrid and shrinking projection algorithms for solving variational inequality problems. J. Nonlinear Convex Anal. 21, 2193-2206 (2020)

  4. Bing Tan, Zheng Zhou, Xiaolong Qin*. Accelerated projection-based forward-backward splitting algorithms for monotone inclusion problems. Journal of Applied Analysis and Computation. 2020, 10(5), 2184–2197. [Link] [Cite]

    Tan, B., Zhou, Z., Qin, X.: Accelerated projection-based forward-backward splitting algorithms for monotone inclusion problems. J. Appl. Anal. Comput. 10, 2184-2197 (2020)

  5. Bing Tan, Sun Young Cho*. An inertial Mann-like algorithm for fixed points of nonexpansive mappings in Hilbert spaces. Journal of Applied and Numerical Optimization. 2020, 2(3), 335–351. [Link] [Cite]

    Tan, B., Cho, S.Y.: An inertial Mann-like algorithm for fixed points of nonexpansive mappings in Hilbert spaces. J. Appl. Numer. Optim. 2, 335-351 (2020)

  6. Bing Tan*, Shanshan Xu. Strong convergence of two inertial projection algorithms in Hilbert spaces. Journal of Applied and Numerical Optimization. 2020, 2(2), 171–186. [Link] [Cite]

    Tan, B., Xu, S.: Strong convergence of two inertial projection algorithms in Hilbert spaces. J. Appl. Numer. Optim. 2, 171-186 (2020)

  7. Bing Tan, Zheng Zhou, Songxiao Li*. Strong convergence of modified inertial Mann algorithms for nonexpansive mappings. Mathematics. 2020, 8(4), Article ID 462. [Link] [Cite]

    Tan, B., Zhou, Z., Li, S.: Strong convergence of modified inertial Mann algorithms for nonexpansive mappings. Mathematics 8, Article ID 462 (2020)

  8. Bing Tan, Shanshan Xu, Songxiao Li*. Modified inertial hybrid and shrinking projection algorithms for solving fixed point problems. Mathematics. 2020, 8(2), Article ID 236. [Link] [Cite]

    Tan, B., Xu, S., Li, S.: Modified inertial hybrid and shrinking projection algorithms for solving fixed point problems. Mathematics 8, Article ID 236 (2020)

  9. Liya Liu, Bing Tan, Sun Young Cho*. On the resolution of variational inequality problems with a double-hierarchical structure. Journal of Nonlinear and Convex Analysis. 2020, 21(2), 377–386. [Link] [Cite]

    Liu, L., Tan, B., Cho, S.Y.: On the resolution of variational inequality problems with a double-hierarchical structure. J. Nonlinear Convex Anal. 21, 377-386 (2020)

  10. Jingjing Fan, Xiaolong Qin*, Bing Tan. Tseng's extragradient algorithm for pseudomonotone variational inequalities on Hadamard manifolds. Applicable Analysis. 2020, https://doi.org/10.1080/00036811.2020.1807012. [Link] [Cite]

    Fan, J., Qin, X., Tan, B.: Tseng's extragradient algorithm for pseudomonotone variational inequalities on Hadamard manifolds. Appl. Anal. https://doi.org/10.1080/00036811.2020.1807012 (2020)

  11. Zheng Zhou*, Bing Tan, Songxiao Li. A new accelerated self-adaptive stepsize algorithm with excellent stability for split common fixed point problems. Computational & Applied Mathematics. 2020, 39(3), Article ID 220. [Link] [Cite]

    Zhou, Z., Tan, B., Li, S.: A new accelerated self-adaptive stepsize algorithm with excellent stability for split common fixed point problems. Comput. Appl. Math. 39, Article ID 220 (2020)

  12. Zheng Zhou*, Bing Tan, Songxiao Li. An inertial shrinking projection algorithm for split common fixed point problems. Journal of Applied Analysis and Computation. 2020, 10(5), 2104–2120. [Link] [Cite]

    Zhou, Z., Tan, B., Li, S.: An inertial shrinking projection algorithm for split common fixed point problems. J. Appl. Anal. Comput. 10, 2104-2120 (2020)

  13. Yinglin Luo, Meijuan Shang*, Bing Tan. A general inertial viscosity type method for nonexpansive mappings and its applications in signal processing. Mathematics. 2020, 8(2), Article ID 288. [Link] [Cite]

    Luo, Y., Shang, M., Tan, B.: A general inertial viscosity type method for nonexpansive mappings and its applications in signal processing. Mathematics 8, Article ID 288 (2020)

Talks

Under construction

Conference

  1. [Oct. 2020] 中国运筹学会第十一次全国会员代表大会暨第十五次学术交流会, Hefei, China.
  2. [Jun. 2019] 电子科技大学基础与前沿研究院五周年院士高峰论坛, Chengdu, China.
  3. [Apr. 2019] 中国运筹学会第十二届全国数学优化会议, Nanjing, China.

Education

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