bingtan

Bing Tan

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

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Contact me: bingtan72 (at) gmail.com

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

[See my Publons]

Social service

Publications

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

2022

  1. NEW! Revisiting subgradient extragradient methods for solving variational inequalities
    Bing Tan, Xiaolong Qin*, and Sun Young Cho
    Numerical Algorithms, in press, doi:10.1007/s11075-021-01243-1, 2022. [Link] [Cite]

    Tan, B., Qin, X., Cho, S.Y.: Revisiting subgradient extragradient methods for solving variational inequalities. Numer. Algorithms https://doi.org/10.1007/s11075-021-01243-1 (2022)

  2. Modified inertial projection and contraction algorithms for solving variational inequality problems with non-Lipschitz continuous operators
    Bing Tan and Xiaolong Qin*
    Analysis and Mathematical Physics, vol. 12, no. 1, art. 26, 30 pp., 2022. [Link] [Cite]

    Tan, B., Qin, X.: Modified inertial projection and contraction algorithms for solving variational inequality problems with non-Lipschitz continuous operators. Anal. Math. Phys. 12, Article ID 26 (2022)

  3. Two adaptive modified subgradient extragradient methods for bilevel pseudomonotone variational inequalities with applications
    Bing Tan and Sun Young Cho*
    Communications in Nonlinear Science and Numerical Simulation, vol. 107, art. 106160, 16 pp., 2022. [Link] [Cite]

    Tan, B., Cho, S.Y.: Two adaptive modified subgradient extragradient methods for bilevel pseudomonotone variational inequalities with applications. Commun. Nonlinear Sci. Numer. Simul. 107, Article ID 106160 (2022)

2021

  1. Strong convergence of self-adaptive inertial algorithms for solving split variational inclusion problems with applications
    Bing Tan, Xiaolong Qin*, and Jen-Chih Yao
    Journal of Scientific Computing, vol. 87, no. 1, art. 20, 34 pp., 2021. [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. Two modified inertial projection algorithms for bilevel pseudomonotone variational inequalities with applications to optimal control problems
    Bing Tan, Xiaolong Qin*, and Jen-Chih Yao
    Numerical Algorithms, vol. 88, no. 4, pp. 1757–1786, 2021. [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 88, 1757--1786 (2021)

  3. Strong convergence of inertial projection and contraction methods for pseudomonotone variational inequalities with applications to optimal control problems
    Bing Tan, Xiaolong Qin*, and Jen-Chih Yao
    Journal of Global Optimization, in press, doi:10.1007/s10898-021-01095-y, 35 pp., 2021. [Link] [Cite]

    Tan, B., Qin, X., Yao, J.-C.: Strong convergence of inertial projection and contraction methods for pseudomonotone variational inequalities with applications to optimal control problems. J. Global Optim. https://doi.org/10.1007/s10898-021-01095-y (2021)

  4. Self-adaptive inertial single projection methods for variational inequalities involving non-Lipschitz and Lipschitz operators with their applications to optimal control problems
    Bing Tan, Songxiao Li*, and Xiaolong Qin
    Applied Numerical Mathematics, vol. 170, pp. 219–241, 2021. [Link] [Cite]

    Tan, B., Li, S., Qin, X.: Self-adaptive inertial single projection methods for variational inequalities involving non-Lipschitz and Lipschitz operators with their applications to optimal control problems. Appl. Numer. Math. 170, 219--241 (2021)

2020

  1. Strong convergence of inertial Mann algorithms for solving hierarchical fixed point problems
    Bing Tan* and Songxiao Li
    Journal of Nonlinear and Variational Analysis, vol. 4, no. 3, pp. 337–355, 2020. [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)

    Please check [Full publications] for a full list of my publications.

Talks

  1. [Jul. 2021] 第八届现代分析数学及其应用会议. Two modified inertial projection algorithms for bilevel pseudomonotone variational inequalities with applications to optimal control problems, Lanzhou, China.

Conferences

  1. [Jul. 2021] 第八届现代分析数学及其应用会议, Lanzhou, China.
  2. [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.
  3. [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.
  4. [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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