Name: Shujun Bi

Introduction:

Address: School of Mathematics, South China University of Technology, Guangzhou, 510640, P.R. China

Email：bishj@scut.edu.cn

Research Interests :

Low-rank and sparse optimization: theory, algorithms and applications; High-Dimensional Statistical Optimization.

Education :

Sept. 2009--Jun. 2014: Ph.D. in Mathematics, South China University of Technology, Guangzhou, P.R. China

Sept. 2005--Jul. 2009: B.S. in Mathematics, Guangxi University, Nanning, P.R. China

Experiences :

Sept. 2020--Present: Associate Professor of Mathematics, School of Mathematics, South China University of Technology, P.R. China

Jul. 2016--Aug. 2020: Lecturer of Mathematics, School of Mathematics, South China University of Technology, P.R. China

Jul. 2014--Jun. 2016: Postdoctor of Mathematics, State Key Laboratory of Scientific and Engineering Computing, Institute of Computational Mathematics and Scientific/Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Science, Beijing, P.R. China

Research Grants:

2018.01--2020.12: National Natural Science Foundation of China, #11701186

Awards:

2019: The second prize of Natural Science Award of Guangdong Province

Publications:

[1] Shujun Bi, Shaohua Pan, Defeng Sun: A multi-stage convex relaxation approach to noisy structured low-rank matrix recovery. Math. Program. Comput. 12(4): 569-602 (2020)

[2] Yulan Liu, Shujun Bi, Shaohua Pan: Several Classes of Stationary Points for Rank Regularized Minimization Problems. SIAM J. Optim. 30(2): 1756-1775 (2020)

[3] Yulan Liu, Shujun Bi, Shaohua Pan: Equivalent Lipschitz surrogates for zero-norm and rank optimization problems. J. Glob. Optim. 72(4): 679-704 (2018)

[4] Shujun Bi, Shaohua Pan: Multistage Convex Relaxation Approach to Rank Regularized Minimization Problems Based on Equivalent Mathematical Program with a Generalized Complementarity Constraint. SIAM J. Control. Optim. 55(4): 2493-2518 (2017)

[5] Shujun Bi, Shaohua Pan: Error bounds for rank constrained optimization problems and applications. Oper. Res. Lett. 44(3): 336-341 (2016)

[6] Shujun Bi, Xiaolan Liu, Shaohua Pan: Exact Penalty Decomposition Method for Zero-Norm Minimization Based on MPEC Formulation. SIAM J. Sci. Comput. 36(4) (2014)

[7] Shujun Bi, Le Han, Shaohua Pan: Approximation of rank function and its application to the nearest low-rank correlation matrix. J. Glob. Optim. 57(4): 1113-1137 (2013)

[8] Shujun Bi, Shaohua Pan, Jein-Shan Chen: Nonsingularity Conditions for the Fischer-Burmeister System of Nonlinear SDPs. SIAM J. Optim. 21(4): 1392-1417 (2011)