Shujun Bi
time： 2025-11-17

Shujun Bi

Position: Associate Professor

Email: bishj@scut.edu.cn

Research Interests

  • Low-rank and Sparse Optimization: Theory, Algorithms and Applications

  • High-Dimensional Statistical Optimization

  • Difference of Convex Functions Programming

Education and Work Experience

Education Experience:

  • 2009/09-2014/07: South China University of Technology, Operation Research (Ph.D.)

  • 2005/09-2009/07: Guangxi University, Mathematics (B.S.)

Work Experience:

  • 2020/09-Present: School of Mathematics, South China University of Technology, Associate Professor

  • 2016/07-2020/08: School of Mathematics, South China University of Technology, Lecturer

  • 2014/08-2016/06: 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, Postdoctoral Fellow (Co-advisor: Yaxiang Yuan)

Research Achievement

  • Shujun Bi, Lan Zhou, Shaohua Pan: Sparse Signal Reconstruction: Sequential Convex Relaxation, Restricted Null Space Property, and Error Bounds. IEEE Trans. Inf. Theory 70(11): 8378-8398 (2024).

  • Yitian Qian, Shaohua Pan, Shujun Bi: A matrix nonconvex relaxation approach to unconstrained binary polynomial programs. Comput. Optim. Appl. 84(3): 875-919 (2023)

  • Dongdong Zhang, Shaohua Pan, Shujun Bi, Defeng Sun: Zero-norm regularized problems: equivalent surrogates, proximal MM method and statistical error bound. Comput. Optim. Appl. 86(2): 627-667 (2023)

  • Shujun Bi, Zhen Yin, Yihong Weng: A low-rank spectral method for learning Markov models. Optim. Lett. 17(1): 143-162 (2023)

  • Ting Tao, Shaohua Pan, Shujun Bi: Error bound of critical points and KL property of exponent 1/2 for squared F-norm regularized factorization. J. Glob. Optim. 81(4): 991-1017 (2021)

  • Yuqia Wu, Shaohua Pan, Shujun Bi: Kurdyka-Łojasiewicz Property of Zero-Norm Composite Functions. J. Optim. Theory Appl. 190(1): 339-342 (2021)

  • 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)

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

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

  • 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)

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

  • 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).

  • 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).

  • 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).

Others（Awards、Research Grants…etc）

  • 2024.01--2027.12: National Natural Science Foundation of China, #12371323

  • 2024.01--2026.12: Natural Science Foundation of Guangdong Province, #2024A1515012611

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

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