A Game Theory-Based Obstacle Avoidance Routing Protocol for Wireless Sensor Networks. - Xin Guan; Huayang Wu; Shujun Bi (Sensors, 2011)

Nonsingularity Conditions for the Fischer-Burmeister System of Nonlinear SDPs. - Shujun Bi; Shaohua Pan; Jein-Shan Chen (SIAM J. Optim., 2011)

The same growth of FB and NR symmetric cone complementarity functions. - Shujun Bi; Shaohua Pan; Jein-Shan Chen (Optim. Lett., 2012)

Approximation of rank function and its application to the nearest low-rank correlation matrix. - Shujun Bi; Le Han; Shaohua Pan (J. Glob. Optim., 2013)

Nonsingularity of FB system and constraint nondegeneracy in semidefinite programming. - Le Han; Shujun Bi; Shaohua Pan (Numer. Algorithms, 2013)

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

Two-stage convex relaxation approach to least squares loss constrained low-rank plus sparsity optimization problems. - Le Han; Shujun Bi; Shaohua Pan (Comput. Optim. Appl., 2016)

Error bounds for rank constrained optimization problems and applications. - Shujun Bi; Shaohua Pan (Oper. Res. Lett., 2016)

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

Two-stage convex relaxation approach to low-rank and sparsity regularized least squares loss. - Le Han; Shujun Bi (J. Glob. Optim., 2018)

Equivalent Lipschitz surrogates for zero-norm and rank optimization problems. - Yulan Liu; Shujun Bi; Shaohua Pan (J. Glob. Optim., 2018)

Error bounds for non-polyhedral convex optimization and applications to linear convergence of FDM and PGM. - Yulan Liu; Shujun Bi (Appl. Math. Comput., 2019)

KL property of exponent 1/2 of 𝓁2, 0-norm and DC regularized factorizations for low-rank matrix recovery. - Shujun Bi; Ting Tao; Shaohua Pan (CoRR, 2019)

Error bound of local minima and KL property of exponent 1/2 for squared F-norm regularized factorization. - Ting Tao; Shaohua Pan; Shujun Bi (CoRR, 2019)

Metric subregularity and/or calmness of the normal cone mapping to the p-order conic constraint system. - Ying Sun; Shaohua Pan; Shujun Bi (Optim. Lett., 2019)

A multi-stage convex relaxation approach to noisy structured low-rank matrix recovery. - Shujun Bi; Shaohua Pan; Defeng Sun (Math. Program. Comput., 2020)

Several Classes of Stationary Points for Rank Regularized Minimization Problems. - Yulan Liu; Shujun Bi; Shaohua Pan (SIAM J. Optim., 2020)

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

Kurdyka-Łojasiewicz Property of Zero-Norm Composite Functions. - Yuqia Wu; Shaohua Pan; Shujun Bi (J. Optim. Theory Appl., 2021)

Correction to: Kurdyka-Łojasiewicz Property of Zero-Norm Composite Functions. - Yuqia Wu; Shaohua Pan; Shujun Bi (J. Optim. Theory Appl., 2021)

A low-rank spectral method for learning Markov models. - Shujun Bi; Zhen Yin; Yihong Weng (Optim. Lett., 2023)

A matrix nonconvex relaxation approach to unconstrained binary polynomial programs. - Yitian Qian; Shaohua Pan; Shujun Bi (Comput. Optim. Appl., 2023)

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

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