Shaohua Pan

According to our database, Shaohua Pan authored at least 50 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• 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 Regularized Newton Method for \({\boldsymbol{\ell}}_{q}\) -Norm Composite Optimization Problems.

Yuqia Wu, Shaohua Pan, Xiaoqi Yang

SIAM J. Optim., September, 2023

EgoLocate: Real-time Motion Capture, Localization, and Mapping with Sparse Body-mounted Sensors.

Xinyu Yi, Yuxiao Zhou, Marc Habermann, Vladislav Golyanik, Shaohua Pan, Christian Theobalt, Feng Xu

ACM Trans. Graph., August, 2023

Calmness of partial perturbation to composite rank constraint systems and its applications.

Yitian Qian, Shaohua Pan, Yulan Liu

J. Glob. Optim., April, 2023

A matrix nonconvex relaxation approach to unconstrained binary polynomial programs.

Yitian Qian, Shaohua Pan, Shujun Bi

Comput. Optim. Appl., April, 2023

Convergence of a Class of Nonmonotone Descent Methods for Kurdyka-Łojasiewicz Optimization Problems.

Yitian Qian, Shaohua Pan

SIAM J. Optim., 2023

Fusing Monocular Images and Sparse IMU Signals for Real-time Human Motion Capture.

Shaohua Pan, Qi Ma, Xinyu Yi, Weifeng Hu, Xiong Wang, Xingkang Zhou, Jijunnan Li, Feng Xu

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

2022

Column $\ell_{2, 0}$-Norm Regularized Factorization Model of Low-Rank Matrix Recovery and Its Computation.

Ting Tao, Yitian Qian, Shaohua Pan

SIAM J. Optim., 2022

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

An inexact PAM method for computing Wasserstein barycenter with unknown supports.

Yitian Qian, Shaohua Pan

Comput. Appl. Math., 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

2018

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

Yulan Liu, Shujun Bi, Shaohua Pan

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

A rank-corrected procedure for matrix completion with fixed basis coefficients.

Weimin Miao, Shaohua Pan, Defeng Sun

Math. Program., 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

On the generalized Fischer-Burmeister merit function for the second-order cone complementarity problem.

Shaohua Pan, Sangho Kum, Yongdo Lim, Jein-Shan Chen

Math. Comput., 2014

Graph-based semi-supervised learning by mixed label propagation with a soft constraint.

Xiaolan Liu, Shaohua Pan, Zhifeng Hao, Zhiyong Lin

Inf. Sci., 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 least-square semismooth Newton method for the second-order cone complementarity problem.

Shaohua Pan, Jein-Shan Chen

Optim. Methods Softw., 2011

A continuation approach for the capacitated multi-facility weber problem based on nonlinear SOCP reformulation.

Jein-Shan Chen, Shaohua Pan, Chun-Hsu Ko

J. Glob. Optim., 2011

The penalized Fischer-Burmeister SOC complementarity function.

Shaohua Pan, Jein-Shan Chen, Sangho Kum, Yongdo Lim

Comput. Optim. Appl., 2011

2010

Stationary point conditions for the FB merit function associated with symmetric cones.

Shaohua Pan, Yu-Lin Chang, Jein-Shan Chen

Oper. Res. Lett., 2010

Numerical comparisons of two effective methods for mixed complementarity problems.

Jein-Shan Chen, Shaohua Pan, Ching-Yu Yang

J. Comput. Appl. Math., 2010

A neural network based on the generalized Fischer-Burmeister function for nonlinear complementarity problems.

Jein-Shan Chen, Chun-Hsu Ko, Shaohua Pan

Inf. Sci., 2010

A semismooth Newton method for SOCCPs based on a one-parametric class of SOC complementarity functions.

Shaohua Pan, Jein-Shan Chen

Comput. Optim. Appl., 2010

A one-parametric class of merit functions for the second-order cone complementarity problem.

Jein-Shan Chen, Shaohua Pan

Comput. Optim. Appl., 2010

An entropy-like proximal algorithm and the exponential multiplier method for convex symmetric cone programming.

Jein-Shan Chen, Shaohua Pan

Comput. Optim. Appl., 2010

2009

Some characterizations for SOC-monotone and SOC-convex functions.

Jein-Shan Chen, Xin Chen, Shaohua Pan, Jiawei Zhang

J. Glob. Optim., 2009

An R-linearly convergent derivative-free algorithm for nonlinear complementarity problems based on the generalized Fischer-Burmeister merit function.

Jein-Shan Chen, Hung-Ta Gao, Shaohua Pan

J. Comput. Appl. Math., 2009

2008

A Class of Interior Proximal-Like Algorithms for Convex Second-Order Cone Programming.

Shaohua Pan, Jein-Shan Chen

SIAM J. Optim., 2008

A global continuation algorithm for solving binary quadratic programming problems.

Shaohua Pan, Tao Tan, Yuxi Jiang

Comput. Optim. Appl., 2008

A family of NCP functions and a descent method for the nonlinear complementarity problem.

Jein-Shan Chen, Shaohua Pan

Comput. Optim. Appl., 2008

2007

Smoothing method for minimizing the sum of the <i>r</i> largest functions.

Shaohua Pan, Suyan He, Xingsi Li

Optim. Methods Softw., 2007

Entropy-like proximal algorithms based on a second-order homogeneous distance function for quasi-convex programming.

Shaohua Pan, Jein-Shan Chen

J. Glob. Optim., 2007

Two unconstrained optimization approaches for the Euclidean kappa-centrum location problem.

Shaohua Pan, Jein-Shan Chen

Appl. Math. Comput., 2007

The Solution of Linear Programming with LR-Fuzzy Numbers in Objective Function.

Qianfeng Cai, Zhifeng Hao, Shaohua Pan

Proceedings of the Fuzzy Information and Engineering, 2007

2006

An efficient algorithm for the smallest enclosing ball problem in high dimensions.

Shaohua Pan, Xingsi Li

Appl. Math. Comput., 2006

2005

An efficient algorithm for the Euclidean r-centrum location problem.

Shaohua Pan, Xingsi Li

Appl. Math. Comput., 2005

2004

A self-adjusting primal-dual interior point method for linear programs.

Shaohua Pan, Xiangsi Li

Optim. Methods Softw., 2004