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2020 – today
- 2024
[j47]Ruyu Liu, Shaohua Pan, Yuqia Wu
, Xiaoqi Yang:
An inexact regularized proximal Newton method for nonconvex and nonsmooth optimization. Comput. Optim. Appl. 88(2): 603-641 (2024)- 2023
- [j46]Yitian Qian, Shaohua Pan, Shujun Bi:
A matrix nonconvex relaxation approach to unconstrained binary polynomial programs. Comput. Optim. Appl. 84(3): 875-919 (2023) - [j45]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) - [j44]Yitian Qian, Shaohua Pan, Yulan Liu:
Calmness of partial perturbation to composite rank constraint systems and its applications. J. Glob. Optim. 85(4): 867-889 (2023) - [j43]Yitian Qian, Shaohua Pan:
Convergence of a Class of Nonmonotone Descent Methods for Kurdyka-Łojasiewicz Optimization Problems. SIAM J. Optim. 33(2): 638-651 (2023) - [j42]Yuqia Wu, Shaohua Pan, Xiaoqi Yang:
A Regularized Newton Method for \({\boldsymbol{\ell}}_{q}\) -Norm Composite Optimization Problems. SIAM J. Optim. 33(3): 1676-1706 (2023) - [j41]Xinyu Yi, Yuxiao Zhou, Marc Habermann, Vladislav Golyanik, Shaohua Pan, Christian Theobalt, Feng Xu:
EgoLocate: Real-time Motion Capture, Localization, and Mapping with Sparse Body-mounted Sensors. ACM Trans. Graph. 42(4): 76:1-76:17 (2023) - [c2]Shaohua Pan, Qi Ma, Xinyu Yi, Weifeng Hu, Xiong Wang, Xingkang Zhou, Jijunnan Li, Feng Xu:
Fusing Monocular Images and Sparse IMU Signals for Real-time Human Motion Capture. SIGGRAPH Asia 2023: 116:1-116:11 - [i6]Xinyu Yi, Yuxiao Zhou, Marc Habermann, Vladislav Golyanik, Shaohua Pan, Christian Theobalt, Feng Xu:
EgoLocate: Real-time Motion Capture, Localization, and Mapping with Sparse Body-mounted Sensors. CoRR abs/2305.01599 (2023) - [i5]Shaohua Pan, Qi Ma, Xinyu Yi, Weifeng Hu, Xiong Wang, Xingkang Zhou, Jijunnan Li, Feng Xu:
Fusing Monocular Images and Sparse IMU Signals for Real-time Human Motion Capture. CoRR abs/2309.00310 (2023) - 2022
- [j40]Ting Tao, Yitian Qian, Shaohua Pan:
Column $\ell_{2, 0}$-Norm Regularized Factorization Model of Low-Rank Matrix Recovery and Its Computation. SIAM J. Optim. 32(2): 959-988 (2022) - 2021
- [j39]Yitian Qian, Shaohua Pan:
An inexact PAM method for computing Wasserstein barycenter with unknown supports. Comput. Appl. Math. 40(2) (2021) - [j38]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) - [j37]Yuqia Wu, Shaohua Pan, Shujun Bi:
Kurdyka-Łojasiewicz Property of Zero-Norm Composite Functions. J. Optim. Theory Appl. 188(1): 94-112 (2021) - [j36]Yuqia Wu, Shaohua Pan, Shujun Bi:
Correction to: Kurdyka-Łojasiewicz Property of Zero-Norm Composite Functions. J. Optim. Theory Appl. 190(1): 339-342 (2021) - 2020
- [j35]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) - [j34]Yulan Liu, Shujun Bi, Shaohua Pan:
Several Classes of Stationary Points for Rank Regularized Minimization Problems. SIAM J. Optim. 30(2): 1756-1775 (2020)
2010 – 2019
- 2019
- [j33]Ying Sun, Shaohua Pan, Shujun Bi:
Metric subregularity and/or calmness of the normal cone mapping to the p-order conic constraint system. Optim. Lett. 13(5): 1095-1110 (2019) - [i4]Shujun Bi, Ting Tao, Shaohua Pan:
KL property of exponent 1/2 of 𝓁2, 0-norm and DC regularized factorizations for low-rank matrix recovery. CoRR abs/1908.09078 (2019) - [i3]Ting Tao, Shaohua Pan, Shujun Bi:
Error bound of local minima and KL property of exponent 1/2 for squared F-norm regularized factorization. CoRR abs/1911.04293 (2019) - 2018
- [j32]Yulan Liu, Shujun Bi, Shaohua Pan:
Equivalent Lipschitz surrogates for zero-norm and rank optimization problems. J. Glob. Optim. 72(4): 679-704 (2018) - [i2]Yulan Liu, Shujun Bi, Shaohua Pan:
Equivalent Lipschitz surrogates for zero-norm and rank optimization problems. CoRR abs/1804.11062 (2018) - 2017
- [j31]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) - 2016
- [j30]Le Han, Shujun Bi, Shaohua Pan:
Two-stage convex relaxation approach to least squares loss constrained low-rank plus sparsity optimization problems. Comput. Optim. Appl. 64(1): 119-148 (2016) - [j29]Weimin Miao, Shaohua Pan, Defeng Sun:
A rank-corrected procedure for matrix completion with fixed basis coefficients. Math. Program. 159(1-2): 289-338 (2016) - [j28]Shujun Bi, Shaohua Pan:
Error bounds for rank constrained optimization problems and applications. Oper. Res. Lett. 44(3): 336-341 (2016) - 2014
- [j27]Xiaolan Liu, Shaohua Pan, Zhifeng Hao, Zhiyong Lin:
Graph-based semi-supervised learning by mixed label propagation with a soft constraint. Inf. Sci. 277: 327-337 (2014) - [j26]Shaohua Pan, Sangho Kum, Yongdo Lim, Jein-Shan Chen:
On the generalized Fischer-Burmeister merit function for the second-order cone complementarity problem. Math. Comput. 83(287): 1143-1171 (2014) - [j25]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) - 2013
- [j24]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) - [j23]Le Han, Shujun Bi, Shaohua Pan:
Nonsingularity of FB system and constraint nondegeneracy in semidefinite programming. Numer. Algorithms 62(1): 79-113 (2013) - 2012
- [j22]Shujun Bi, Shaohua Pan, Jein-Shan Chen:
The same growth of FB and NR symmetric cone complementarity functions. Optim. Lett. 6(1): 153-162 (2012) - [i1]Weimin Miao, Shaohua Pan, Defeng Sun:
A Rank-Corrected Procedure for Matrix Completion with Fixed Basis Coefficients. CoRR abs/1210.3709 (2012) - 2011
- [j21]Shaohua Pan, Jein-Shan Chen, Sangho Kum, Yongdo Lim:
The penalized Fischer-Burmeister SOC complementarity function. Comput. Optim. Appl. 49(3): 457-491 (2011) - [j20]Jein-Shan Chen, Shaohua Pan, Chun-Hsu Ko:
A continuation approach for the capacitated multi-facility weber problem based on nonlinear SOCP reformulation. J. Glob. Optim. 50(4): 713-728 (2011) - [j19]Shaohua Pan, Jein-Shan Chen:
A least-square semismooth Newton method for the second-order cone complementarity problem. Optim. Methods Softw. 26(1): 1-22 (2011) - [j18]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) - 2010
- [j17]Shaohua Pan, Jein-Shan Chen:
A semismooth Newton method for SOCCPs based on a one-parametric class of SOC complementarity functions. Comput. Optim. Appl. 45(1): 59-88 (2010) - [j16]Jein-Shan Chen, Shaohua Pan:
A one-parametric class of merit functions for the second-order cone complementarity problem. Comput. Optim. Appl. 45(3): 581-606 (2010) - [j15]Jein-Shan Chen, Shaohua Pan:
An entropy-like proximal algorithm and the exponential multiplier method for convex symmetric cone programming. Comput. Optim. Appl. 47(3): 477-499 (2010) - [j14]Jein-Shan Chen, Chun-Hsu Ko, Shaohua Pan:
A neural network based on the generalized Fischer-Burmeister function for nonlinear complementarity problems. Inf. Sci. 180(5): 697-711 (2010) - [j13]Jein-Shan Chen, Shaohua Pan, Ching-Yu Yang:
Numerical comparisons of two effective methods for mixed complementarity problems. J. Comput. Appl. Math. 234(3): 667-683 (2010) - [j12]Shaohua Pan, Yu-Lin Chang, Jein-Shan Chen:
Stationary point conditions for the FB merit function associated with symmetric cones. Oper. Res. Lett. 38(5): 372-377 (2010)
2000 – 2009
- 2009
- [j11]Jein-Shan Chen, Hung-Ta Gao, Shaohua Pan:
An R-linearly convergent derivative-free algorithm for nonlinear complementarity problems based on the generalized Fischer-Burmeister merit function. J. Comput. Appl. Math. 232(2): 455-471 (2009) - [j10]Jein-Shan Chen, Xin Chen, Shaohua Pan, Jiawei Zhang:
Some characterizations for SOC-monotone and SOC-convex functions. J. Glob. Optim. 45(2): 259-279 (2009) - 2008
- [j9]Jein-Shan Chen, Shaohua Pan:
A family of NCP functions and a descent method for the nonlinear complementarity problem. Comput. Optim. Appl. 40(3): 389-404 (2008) - [j8]Shaohua Pan, Tao Tan, Yuxi Jiang:
A global continuation algorithm for solving binary quadratic programming problems. Comput. Optim. Appl. 41(3): 349-362 (2008) - [j7]Shaohua Pan, Jein-Shan Chen:
A Class of Interior Proximal-Like Algorithms for Convex Second-Order Cone Programming. SIAM J. Optim. 19(2): 883-910 (2008) - 2007
- [j6]Shaohua Pan, Jein-Shan Chen:
Two unconstrained optimization approaches for the Euclidean kappa-centrum location problem. Appl. Math. Comput. 189(2): 1368-1383 (2007) - [j5]Shaohua Pan, Jein-Shan Chen:
Entropy-like proximal algorithms based on a second-order homogeneous distance function for quasi-convex programming. J. Glob. Optim. 39(4): 555-575 (2007) - [j4]Shaohua Pan, Suyan He, Xingsi Li:
Smoothing method for minimizing the sum of the r largest functions. Optim. Methods Softw. 22(2): 267-277 (2007) - [c1]Qianfeng Cai, Zhifeng Hao, Shaohua Pan:
The Solution of Linear Programming with LR-Fuzzy Numbers in Objective Function. ICFIE 2007: 988-999 - 2006
- [j3]Shaohua Pan, Xingsi Li:
An efficient algorithm for the smallest enclosing ball problem in high dimensions. Appl. Math. Comput. 172(1): 49-61 (2006) - 2005
- [j2]Shaohua Pan, Xingsi Li:
An efficient algorithm for the Euclidean r-centrum location problem. Appl. Math. Comput. 167(1): 716-728 (2005) - 2004
- [j1]Shaohua Pan, Xiangsi Li:
A self-adjusting primal-dual interior point method for linear programs. Optim. Methods Softw. 19(3-4): 389-397 (2004)
Coauthor Index
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