bingtan

Bing Tan

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

Google Scholar    Publons    ORCID    arXiv

ResearchGate    Facebook

Contact me: bingtan72@gmail.com

Homepage: https://bingtan.me





Biography

I am a first-year 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, Jingjing Fan, Songxiao Li*. Self-adaptive inertial extragradient algorithms for solving variational inequality problems. Comput. Appl. Math. 2021, 40(1), Article ID 19. [Link]

  2. Bing Tan, Liya Liu, Xiaolong Qin*. Self adaptive inertial extragradient algorithms for solving bilevel pseudomonotone variational inequality problems. Jpn. J. Ind. Appl. Math. 2021, https://doi.org/10.1007/s13160-020-00450-y. [Link]

2020

  1. Bing Tan, Shanshan Xu, Songxiao Li*. Inertial shrinking projection algorithms for solving hierarchical variational inequality problems. J. Nonlinear Convex Anal. 2020, 21(4):871–884. [Link]

  2. Bing Tan, Sun Young Cho*. An inertial Mann-like algorithm for fixed points of nonexpansive mappings in Hilbert spaces. J. Appl. Numer. Optim. 2020, 2(3):335–351. [Link]

  3. Bing Tan*, Shanshan Xu. Strong convergence of two inertial projection algorithms in Hilbert spaces. J. Appl. Numer. Optim. 2020, 2(2):171–186. [Link]

  4. Bing Tan*, Songxiao Li. Strong convergence of inertial Mann algorithms for solving hierarchical fixed point problems. J. Nonlinear Var. Anal. 2020, 4(3):337–355. [Link]

  5. Bing Tan, Shanshan Xu, Songxiao Li*. Inertial hybrid and shrinking projection algorithms for solving variational inequality problems. J. Nonlinear Convex Anal. 2020, 21(10):2193–2206. [Link]

  6. Bing Tan, Zheng Zhou, Xiaolong Qin*. Accelerated projection-based forward-backward splitting algorithms for monotone inclusion problems. J. Appl. Anal. Comput. 2020, 10(5):2184–2197. [Link]

  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]

  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]

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

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

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

  12. Zheng Zhou*, Bing Tan, Songxiao Li. An inertial shrinking projection algorithm for split common fixed point problems. J. Appl. Anal. Comput. 2020, 10(5):2104–2120. [Link]

  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]

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

Miscellaneous

Membership



Page generated 2021-1-12, by Bing Tan