Biography
I am a PhD candidate in Mathematical Optimization at University of Electronic Science and Technology of China, co-advised by Prof. Yi-bin Xiao, 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]
- Journal of Nonlinear and Variational Analysis
- Optimization
Social service
- MathSciNet Reviewer (2020–now)
- zbMATH Reviewer (2020–now)
Publications
[Google Scholar]
[MathSciNet]
[Publons]
[zbMATH]
[ResearchGate]
2022
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)
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)
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
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)
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)
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)
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
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.
