Li-Ping Pang

40 papers Journal 40
YearRankTypeTitle / Venue / Authors
2026 J jnl
Correction to: An asymmetric lightweight multi-task network based on KAN Convolution.
Soft Comput.
Fanyun Meng, Yongqiang Sun, Zhenyu Zhu, Li-Ping Pang, Jinlong Wang
2025 J jnl
Robust satisficing model with Sinkhorn distance.
Optim. Lett.
Shuang Wang, Li-Ping Pang, Jian Lv
2025 J jnl
Variable multi-scale attention fusion network and adaptive correcting gradient optimization for multi-task learning.
Pattern Recognit.
Naihua Ji, Yongqiang Sun, Fanyun Meng, Li-Ping Pang, Yuzhu Tian
2023 J jnl
A class of infeasible proximal bundle methods for nonsmooth nonconvex multi-objective optimization problems.
J. Glob. Optim.
Li-Ping Pang, Fan-Yun Meng, Jian-Song Yang
2023 J jnl
A proximal bundle method-based algorithm with penalty strategy and inexact oracles for constrained nonsmooth nonconvex optimization.
J. Comput. Appl. Math.
Xiaoliang Wang, Li-Ping Pang, Xiantao Xiao
2023 J jnl
A stochastic approximation method for convex programming with many semidefinite constraints.
Optim. Methods Softw.
Li-Ping Pang, Ming-Kun Zhang, Xiantao Xiao
2023 J jnl
The Augmented Lagrangian Method for Mathematical Programs with Vertical Complementarity Constraints Based on Inexact Scholtes Regularization.
Asia Pac. J. Oper. Res.
Na Xu, Fan-Yun Meng, Li-Ping Pang
2022 J jnl
A feasible proximal bundle algorithm with convexification for nonsmooth, nonconvex semi-infinite programming.
Numer. Algorithms
Li-Ping Pang, Qi Wu
2022 J jnl
Proximal Gradient-Type Algorithms for a Class of Bilevel Programming Problems.
Asia Pac. J. Oper. Res.
Dan Li, Shuang Chen, Li-Ping Pang
2020 J jnl
A discretization algorithm for nonsmooth convex semi-infinite programming problems based on bundle methods.
Comput. Optim. Appl.
Li-Ping Pang, Qi Wu, Jin-He Wang, Qiong Wu
2020 J jnl
An incremental bundle method for portfolio selection problem under second-order stochastic dominance.
Numer. Algorithms
Jian Lv, Ze-Hao Xiao, Li-Ping Pang
2019 J jnl
An infeasible bundle method for nonconvex constrained optimization with application to semi-infinite programming problems.
Numer. Algorithms
Jian Lv, Li-Ping Pang, Na Xu, Ze-Hao Xiao
2019 J jnl
Nonsmooth Optimization Method for H∞ Output Feedback Control.
Asia Pac. J. Oper. Res.
Qiong Wu, Jin-He Wang, Hongwei Zhang, Shuang Wang, Li-Ping Pang
2018 J jnl
A proximal bundle method for constrained nonsmooth nonconvex optimization with inexact information.
J. Glob. Optim.
Jian Lv, Li-Ping Pang, Fan-Yun Meng
2018 J jnl
Correction to: A space decomposition scheme for maximum eigenvalue functions and its applications.
Math. Methods Oper. Res.
Ming Huang, Yue Lu, Li-Ping Pang, Zun-Quan Xia
2018 J jnl
Improved Convergence Properties of the Relaxation Schemes of Kadrani
Asia Pac. J. Oper. Res.
Na Xu, Xide Zhu, Li-Ping Pang, Jian Lv
2017 J jnl
A space decomposition scheme for maximum eigenvalue functions and its applications.
Math. Methods Oper. Res.
Ming Huang, Yue Lu, Li-Ping Pang, Zun-Quan Xia
2017 J jnl
An adaptive fixed-point proximity algorithm for solving total variation denoising models.
Inf. Sci.
Jin-He Wang, Fan-Yun Meng, Li-Ping Pang, Xing-Hua Hao
2017 J jnl
An approximate bundle method for solving nonsmooth equilibrium problems.
J. Glob. Optim.
Fan-Yun Meng, Li-Ping Pang, Jian Lv, Jin-He Wang
2016 J jnl
Constrained incremental bundle method with partial inexact oracle for nonsmooth convex semi-infinite programming problems.
Comput. Optim. Appl.
Li-Ping Pang, Jian Lv, Jin-He Wang
2016 J jnl
SAA method based on modified Newton method for stochastic variational inequality with second-order cone constraints and application in portfolio optimization.
Math. Methods Oper. Res.
Shuang Chen, Li-Ping Pang, Xuefei Ma, Dan Li
2015 J jnl
Risk management in portfolio applications of non-convex stochastic programming.
Appl. Math. Comput.
Li-Ping Pang, Shuang Chen, Jin-He Wang
2015 J jnl
Special backtracking proximal bundle method for nonconvex maximum eigenvalue optimization.
Appl. Math. Comput.
Jian Lv, Li-Ping Pang, Jin-He Wang
2014 J jnl
A proximal alternating linearization method for nonconvex optimization problems.
Optim. Methods Softw.
Dan Li, Li-Ping Pang, Shuang Chen
2014 J jnl
Constrained Nonconvex Nonsmooth Optimization via Proximal Bundle Method.
J. Optim. Theory Appl.
Yang Yang, Li-Ping Pang, Xuefei Ma, Jie Shen
2014 J jnl
The space decomposition theory for a class of eigenvalue optimizations.
Comput. Optim. Appl.
Ming Huang, Li-Ping Pang, Zun-Quan Xia
2013 J jnl
An algorithm for solving optimization problems with fuzzy relational inequality constraints.
Inf. Sci.
Fang-Fang Guo, Li-Ping Pang, Dan Meng, Zun-Quan Xia
2012 J jnl
A Decomposition Algorithm for Convex Nondifferentiable Minimization with Errors.
J. Appl. Math.
Yuan Lu, Li-Ping Pang, Shen Jie, Xi-Jun Liang
2012 J jnl
A Proximal Analytic Center Cutting Plane Algorithm for Solving Variational Inequality Problems.
J. Appl. Math.
Jie Shen, Li-Ping Pang
2012 J jnl
Stochastic methods based on Newton method to the stochastic variational inequality problem with constraint conditions.
Math. Comput. Model.
Shuang Chen, Li-Ping Pang, Fang-Fang Guo, Zun-Quan Xia
2010 J jnl
A superlinear space decomposition algorithm for constrained nonsmooth convex program.
J. Comput. Appl. Math.
Yuan Lu, Li-Ping Pang, Fang-Fang Guo, Zun-Quan Xia
2010 J jnl
An approximate decomposition algorithm for convex minimization.
J. Comput. Appl. Math.
Yuan Lu, Li-Ping Pang, Xi-Jun Liang, Zun-Quan Xia
2010 J jnl
Existence of solutions of generalized vector variational-type inequalities with set-valued mappings.
Comput. Math. Appl.
Si-Jia Jiang, Li-Ping Pang, Jie Shen
2008 J jnl
A bundle-type auxiliary problem method for solving generalized variational-like inequalities.
Comput. Math. Appl.
Jie Shen, Li-Ping Pang
2008 J jnl
An approximate bundle-type auxiliary problem method for solving generalized variational inequalities.
Math. Comput. Model.
Jie Shen, Li-Ping Pang
2008 J jnl
First-order optimality conditions for two classes of generalized nonsmooth semi-infinite optimization.
Comput. Math. Appl.
Li-Ping Pang, Ming-Zheng Wang, Zun-Quan Xia
2007 J jnl
A method for solving the system of linear equations and linear inequalities.
Math. Comput. Model.
Li-Ping Pang, Emilio Spedicato, Zun-Quan Xia, Wei Wang
2007 J jnl
A modified predictor-corrector algorithm for solving nonconvex generalized variational inequality.
Comput. Math. Appl.
Li-Ping Pang, Jie Shen, He-Shan Song
2007 J jnl
An approximate U-Lagrangian and algorithm to UV decomposition.
Appl. Math. Comput.
Feng Shan, Li-Ping Pang, Zun-Quan Xia
2007 J jnl
Two parallel distribution algorithms for convex constrained minimization problems.
Appl. Math. Comput.
Li-Ping Pang, Jie Shen, Wei Wang