Li-Zhi Liao

According to our database, Li-Zhi Liao authored at least 52 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Novel Continuous- and Discrete-Time Neural Networks for Solving Quadratic Minimax Problems With Linear Equality Constraints.

Xingbao Gao, Li-Zhi Liao

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Convergence of a Fast Hierarchical Alternating Least Squares Algorithm for Nonnegative Matrix Factorization.

Liangshao Hou, Delin Chu, Li-Zhi Liao

IEEE Trans. Knowl. Data Eng., January, 2024

2023

A Progressive Hierarchical Alternating Least Squares Method for Symmetric Nonnegative Matrix Factorization.

Liangshao Hou, Delin Chu, Li-Zhi Liao

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

2022

An Interior Point Parameterized Central Path Following Algorithm for Linearly Constrained Convex Programming.

Liangshao Hou, Xun Qian, Li-Zhi Liao, Jie Sun

J. Sci. Comput., 2022

2020

A strategy of global convergence for the affine scaling algorithm for convex semidefinite programming.

Xun Qian, Li-Zhi Liao, Jie Sun

Math. Program., 2020

2018

The Convergent Generalized Central Paths for Linearly Constrained Convex Programming.

Xun Qian, Li-Zhi Liao, Jie Sun, Hong Zhu

SIAM J. Optim., 2018

Multi-Instance Dimensionality Reduction via Sparsity and Orthogonality.

Hong Zhu, Li-Zhi Liao, Michael K. Ng

Neural Comput., 2018

Quadratic two-stage stochastic optimization with coherent measures of risk.

Jie Sun, Li-Zhi Liao, Brian Rodrigues

Math. Program., 2018

Multiple graphs clustering by gradient flow method.

Hong Zhu, Chuan Chen, Li-Zhi Liao, Michael K. Ng

J. Frankl. Inst., 2018

Generalized Affine Scaling Trajectory Analysis for Linearly Constrained Convex Programming.

Xun Qian, Li-Zhi Liao

Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

2017

A Novel Neural Network for Generally Constrained Variational Inequalities.

Xingbao Gao, Li-Zhi Liao

IEEE Trans. Neural Networks Learn. Syst., 2017

Nonconvex and Nonsmooth Optimization with Generalized Orthogonality Constraints: An Approximate Augmented Lagrangian Method.

Hong Zhu, Xiaowei Zhang, Delin Chu, Li-Zhi Liao

J. Sci. Comput., 2017

2016

Incremental Regularized Least Squares for Dimensionality Reduction of Large-Scale Data.

Xiaowei Zhang, Li Cheng, Delin Chu, Li-Zhi Liao, Michael K. Ng, Roger C. E. Tan

SIAM J. Sci. Comput., 2016

2015

Incremental Linear Discriminant Analysis: A Fast Algorithm and Comparisons.

Delin Chu, Li-Zhi Liao, Michael Kwok-Po Ng, Xiaoyan Wang

IEEE Trans. Neural Networks Learn. Syst., 2015

2014

A note on the trace quotient problem.

Lei-Hong Zhang, Wei Hong Yang, Li-Zhi Liao

Optim. Lett., 2014

A Study of the Dual Affine Scaling Continuous Trajectories for Linear Programming.

Li-Zhi Liao

J. Optim. Theory Appl., 2014

2013

Sparse Canonical Correlation Analysis: New Formulation and Algorithm.

Delin Chu, Li-Zhi Liao, Michael K. Ng, Xiaowei Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Superlinear Convergence of a General Algorithm for the Generalized Foley-Sammon Discriminant Analysis.

Lei-Hong Zhang, Li-Zhi Liao, Michael K. Ng

J. Optim. Theory Appl., 2013

Inexact Alternating Direction Methods of Multipliers with Logarithmic-Quadratic Proximal Regularization.

Min Li, Li-Zhi Liao, Xiao-Ming Yuan

J. Optim. Theory Appl., 2013

2012

Sparse Orthogonal Linear Discriminant Analysis.

Delin Chu, Li-Zhi Liao, Michael K. Ng

SIAM J. Sci. Comput., 2012

Regularized orthogonal linear discriminant analysis.

Wai-Ki Ching, Delin Chu, Li-Zhi Liao, Xiaoyan Wang

Pattern Recognit., 2012

An alternating variable method for the maximal correlation problem.

Lei-Hong Zhang, Li-Zhi Liao

J. Glob. Optim., 2012

Proximal-like contraction methods for monotone variational inequalities in a unified framework II: general methods and numerical experiments.

Bingsheng He, Li-Zhi Liao, Xiang Wang

Comput. Optim. Appl., 2012

Proximal-like contraction methods for monotone variational inequalities in a unified framework I: Effective quadruplet and primary methods.

Bingsheng He, Li-Zhi Liao, Xiang Wang

Comput. Optim. Appl., 2012

2011

Stability and Convergence Analysis for a Class of Neural Networks.

Xing-Bao Gao, Li-Zhi Liao

IEEE Trans. Neural Networks, 2011

On sparse linear discriminant analysis algorithm for high-dimensional data classification.

Michael K. Ng, Li-Zhi Liao, Lei-Hong Zhang

Numer. Linear Algebra Appl., 2011

Towards the global solution of the maximal correlation problem.

Lei-Hong Zhang, Li-Zhi Liao, Li-Ming Sun

J. Glob. Optim., 2011

2010

A new one-layer neural network for linear and quadratic programming.

Xing-Bao Gao, Li-Zhi Liao

IEEE Trans. Neural Networks, 2010

Fast Algorithms for the Generalized Foley-Sammon Discriminant Analysis.

Lei-Hong Zhang, Li-Zhi Liao, Michael K. Ng

SIAM J. Matrix Anal. Appl., 2010

Steplengths in the extragradient type methods.

Xiang Wang, Bingsheng He, Li-Zhi Liao

J. Comput. Appl. Math., 2010

Interior point based continuous methods for linear programming.

Li-Zhi Liao

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

A New Projection-Based Neural Network for Constrained Variational Inequalities.

Xing-Bao Gao, Li-Zhi Liao

IEEE Trans. Neural Networks, 2009

2008

Projected Pseudotransient Continuation.

C. T. Kelley, Li-Zhi Liao, Liqun Qi, Moody T. Chu, Jill P. Reese, C. Winton

SIAM J. Numer. Anal., 2008

A modified descent method for co-coercive variational inequalities.

Min Li, Li-Zhi Liao, Xiao-Ming Yuan

Eur. J. Oper. Res., 2008

2007

Convergence analysis of the Levenberg-Marquardt method.

Xinlong Luo, Li-Zhi Liao, Hon Wah Tam

Optim. Methods Softw., 2007

2006

A Novel Neural Network for a Class of Convex Quadratic Minimax Problems.

Xing-Bao Gao, Li-Zhi Liao

Neural Comput., 2006

2005

A novel neural network for variational inequalities with linear and nonlinear constraints.

Xing-Bao Gao, Li-Zhi Liao, Liqun Qi

IEEE Trans. Neural Networks, 2005

A Gradient-based Continuous Method for Large-scale Optimization Problems.

Li-Zhi Liao, Liqun Qi, Hon Wah Tam

J. Glob. Optim., 2005

2004

A neural network for a class of convex quadratic minimax problems with constraints.

Xing-Bao Gao, Li-Zhi Liao, Weimin Xue

IEEE Trans. Neural Networks, 2004

On Restart Procedures for the Conjugate Gradient Method.

Yu-Hong Dai, Li-Zhi Liao, Duan Li

Numer. Algorithms, 2004

Neurodynamical Optimization.

Li-Zhi Liao, Houduo Qi, Liqun Qi

J. Glob. Optim., 2004

2003

Self-adaptive operator splitting methods for monotone variational inequalities.

Bingsheng He, Li-Zhi Liao, Shengli Wang

Numerische Mathematik, 2003

2002

A new inexact alternating directions method for monotone variational inequalities.

Bingsheng He, Li-Zhi Liao, Deren Han, Hai Yang

Math. Program., 2002

A Globally Convergent and Efficient Method for Unconstrained Discrete-Time Optimal Control.

Chi-Kong Ng, Li-Zhi Liao, Duan Li

J. Glob. Optim., 2002

Adaptive differential dynamic programming for multiobjective optimal control.

Li-Zhi Liao, Duan Li

Autom., 2002

2001

Stability Analysis of Gradient-Based Neural Networks for Optimization Problems.

Qiaoming Han, Li-Zhi Liao, Houduo Qi, Liqun Qi

J. Glob. Optim., 2001

2000

Successive method for general multiple linear-quadratic control problem in discrete time.

Li-Zhi Liao, Duan Li

IEEE Trans. Autom. Control., 2000

A Smoothing Newton Method for General Nonlinear Complementarity Problems.

Houduo Qi, Li-Zhi Liao

Comput. Optim. Appl., 2000

1999

A Smoothing Newton Method for Extended Vertical Linear Complementarity Problems.

Houduo Qi, Li-Zhi Liao

SIAM J. Matrix Anal. Appl., 1999

A Recurrent Neural Network for N-Stage Optimal Control Problems.

Li-Zhi Liao

Neural Process. Lett., 1999

1993

Parallel Processing of Large Scale Discrete-Time Unconstrained Differential Dynamic Programming.

Hugh M. Caffey, Li-Zhi Liao, Christine A. Shoemaker

Parallel Comput., 1993

A Parallel Clustered Dynamic Programming Algorithm for Discrete Time Optimal Control Problems.

Li-Zhi Liao, Christine A. Shoemaker

Proceedings of the Sixth SIAM Conference on Parallel Processing for Scientific Computing, 1993