Shujun Bi

According to our database, Shujun Bi authored at least 23 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., November, 2023

A matrix nonconvex relaxation approach to unconstrained binary polynomial programs.

Yitian Qian, Shaohua Pan, Shujun Bi

Comput. Optim. Appl., April, 2023

A low-rank spectral method for learning Markov models.

Shujun Bi, Zhen Yin, Yihong Weng

Optim. Lett., 2023

2021

Correction to: Kurdyka-Łojasiewicz Property of Zero-Norm Composite Functions.

Yuqia Wu, Shaohua Pan, Shujun Bi

J. Optim. Theory Appl., 2021

Kurdyka-Łojasiewicz Property of Zero-Norm Composite Functions.

Yuqia Wu, Shaohua Pan, Shujun Bi

J. Optim. Theory Appl., 2021

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

2020

Several Classes of Stationary Points for Rank Regularized Minimization Problems.

Yulan Liu, Shujun Bi, Shaohua Pan

SIAM J. Optim., 2020

A multi-stage convex relaxation approach to noisy structured low-rank matrix recovery.

Shujun Bi, Shaohua Pan, Defeng Sun

Math. Program. Comput., 2020

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

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

KL property of exponent 1/2 of 𝓁_{2, 0}-norm and DC regularized factorizations for low-rank matrix recovery.

Shujun Bi, Ting Tao, Shaohua Pan

CoRR, 2019

Error bounds for non-polyhedral convex optimization and applications to linear convergence of FDM and PGM.

Yulan Liu, Shujun Bi

Appl. Math. Comput., 2019

2018

Equivalent Lipschitz surrogates for zero-norm and rank optimization problems.

Yulan Liu, Shujun Bi, Shaohua Pan

J. Glob. Optim., 2018

Two-stage convex relaxation approach to low-rank and sparsity regularized least squares loss.

Le Han, Shujun Bi

J. Glob. Optim., 2018

2017

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

2016

Error bounds for rank constrained optimization problems and applications.

Shujun Bi, Shaohua Pan

Oper. Res. Lett., 2016

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

2014

Exact Penalty Decomposition Method for Zero-Norm Minimization Based on MPEC Formulation.

Shujun Bi, Xiaolan Liu, Shaohua Pan

SIAM J. Sci. Comput., 2014

2013

Nonsingularity of FB system and constraint nondegeneracy in semidefinite programming.

Le Han, Shujun Bi, Shaohua Pan

Numer. Algorithms, 2013

Approximation of rank function and its application to the nearest low-rank correlation matrix.

Shujun Bi, Le Han, Shaohua Pan

J. Glob. Optim., 2013

2012

The same growth of FB and NR symmetric cone complementarity functions.

Shujun Bi, Shaohua Pan, Jein-Shan Chen

Optim. Lett., 2012

2011

Nonsingularity Conditions for the Fischer-Burmeister System of Nonlinear SDPs.

Shujun Bi, Shaohua Pan, Jein-Shan Chen

SIAM J. Optim., 2011

A Game Theory-Based Obstacle Avoidance Routing Protocol for Wireless Sensor Networks.

Xin Guan, Huayang Wu, Shujun Bi

Sensors, 2011