A new gradient-based neural network for solving linear and quadratic programming problems. - Yee Leung; Kai-zhou Chen; Yong-Chang Jiao; Xing-Bao Gao 001; Kwong-Sak Leung (IEEE Trans. Neural Networks, 2001)

A Neural Network for Solving Nonlinear Programming Problems. - Kai-zhou Chen; Yee Leung; Kwong-Sak Leung; Xing-Bao Gao 001 (Neural Comput. Appl., 2002)

Exponential stability of globally projected dynamic systems. - Xing-Bao Gao 001 (IEEE Trans. Neural Networks, 2003)

A high-performance feedback neural network for solving convex nonlinear programming problems. - Yee Leung; Kai-zhou Chen; Xing-Bao Gao 001 (IEEE Trans. Neural Networks, 2003)

Neural networks for nonlinear and mixed complementarity problems and their applications. - Chuangyin Dang; Yee Leung; Xing-Bao Gao 001; Kai-zhou Chen (Neural Networks, 2004)

A novel neural network for nonlinear convex programming. - Xing-Bao Gao 001 (IEEE Trans. Neural Networks, 2004)

A neural network for a class of convex quadratic minimax problems with constraints. - Xing-Bao Gao 001; Li-Zhi Liao; Weimin Xue (IEEE Trans. Neural Networks, 2004)

A novel neural network for variational inequalities with linear and nonlinear constraints. - Xing-Bao Gao 001; Li-Zhi Liao; Liqun Qi 001 (IEEE Trans. Neural Networks, 2005)

A Neural Network with Finite-Time Convergence for a Class of Variational Inequalities. - Xingbao Gao 001; Lili Du (ICIC (1), 2006)

A Novel Neural Network for a Class of Convex Quadratic Minimax Problems. - Xing-Bao Gao 001; Li-Zhi Liao (Neural Comput., 2006)

A New Projection-Based Neural Network for Constrained Variational Inequalities. - Xing-Bao Gao 001; Li-Zhi Liao (IEEE Trans. Neural Networks, 2009)

A new one-layer neural network for linear and quadratic programming. - Xing-Bao Gao 001; Li-Zhi Liao (IEEE Trans. Neural Networks, 2010)

A Neural Network for a Class of Horizontal Linear Complementary Problems. - Xingbao Gao 001; Jing Wang (CIS, 2011)

Stability and Convergence Analysis for a Class of Neural Networks. - Xing-Bao Gao 001; Li-Zhi Liao (IEEE Trans. Neural Networks, 2011)

Image Restoration Combining Tikhonov with Different Order Nonconvex Nonsmooth Regularizations. - Xiaoguang Liu; Xingbao Gao 001; Qiufang Xue (CIS, 2013)

Preconditioned AOR Iterative Method for M-Matrix. - Qiufang Xue; Xingbao Gao 001; Xiaoguang Liu (CIS, 2013)

Analysis and Application of A One-Layer Neural Network for Solving Horizontal Linear Complementarity Problems. - Xingbao Gao 001; Jing Wang (Int. J. Comput. Intell. Syst., 2014)

An Improved Differential Evolution with a Novel Restart Mechanism. - Mengnan Tian; Xingbao Gao 001; Xueqing Yan (CIS, 2016)

A new neural network for l1-norm programming. - Cuiping Li 002; Xingbao Gao 001; Yawei Li; Rui Liu (Neurocomputing, 2016)

A Gravitation-Based Chaos Water Cycle Algorithm for Numerical Optimization. - Jiehao Guo; Xingbao Gao 001; Mengnan Tian (CIS, 2017)

Differential evolution with improved individual-based parameter setting and selection strategy. - Mengnan Tian; Xingbao Gao 001; Cai Dai (Appl. Soft Comput., 2017)

A new neural network for convex quadratic minimax problems with box and equality constraints. - Xingbao Gao 001; Cuiping Li 002 (Comput. Chem. Eng., 2017)

A Novel Neural Network for Generally Constrained Variational Inequalities. - Xingbao Gao 001; Li-Zhi Liao (IEEE Trans. Neural Networks Learn. Syst., 2017)

Non-fragile state estimation for delayed fractional-order memristive neural networks. - Ruoxia Li 001; Xingbao Gao 001; Jinde Cao (Appl. Math. Comput., 2019)

Quasi-state estimation and quasi-synchronization control of quaternion-valued fractional-order fuzzy memristive neural networks: Vector ordering approach. - Ruoxia Li 001; Xingbao Gao 001; Jinde Cao (Appl. Math. Comput., 2019)

Spectral analysis of the matrix splitting preconditioner for block two-by-two linear systems. - Bo Wu; Xing-Bao Gao 001 (Comput. Appl. Math., 2019)

One-layer neural network for solving least absolute deviation problem with box and equality constraints. - Cuiping Li 002; Xingbao Gao 001 (Neurocomputing, 2019)

Dissipativity and exponential state estimation for quaternion-valued memristive neural networks. - Ruoxia Li 001; Xingbao Gao 001; Jinde Cao; Kai Zhang 029 (Neurocomputing, 2019)

Differential evolution with neighborhood-based adaptive evolution mechanism for numerical optimization. - Mengnan Tian; Xingbao Gao 001 (Inf. Sci., 2019)

Exponential Synchronization of Stochastic Memristive Neural Networks with Time-Varying Delays. - Ruoxia Li 001; Xingbao Gao 001; Jinde Cao (Neural Process. Lett., 2019)

An improved differential evolution with information intercrossing and sharing mechanism for numerical optimization. - Mengnan Tian; Xingbao Gao 001 (Swarm Evol. Comput., 2019)

Stability and synchronization control of inertial neural networks with mixed delays. - Wenhua Li; Xingbao Gao 001; Ruoxia Li 001 (Appl. Math. Comput., 2020)

Convergence analysis for modified PAHSS-PU method with new parameter setting. - Bo Wu; Xing-Bao Gao 001 (Comput. Appl. Math., 2020)

Exponential Stabilization Control of Delayed Quaternion-Valued Memristive Neural Networks: Vector Ordering Approach. - Ruoxia Li 001; Xingbao Gao 001; Jinde Cao; Kai Zhang 029 (Circuits Syst. Signal Process., 2020)

Performance-driven adaptive differential evolution with neighborhood topology for numerical optimization. - Mengnan Tian; Xingbao Gao 001; Xueqing Yan (Knowl. Based Syst., 2020)

Exponential Stability and Sampled-Data Synchronization of Delayed Complex-Valued Memristive Neural Networks. - Huilan Li; Xingbao Gao 001; Ruoxia Li 001 (Neural Process. Lett., 2020)

Exponential State Estimation for Stochastically Disturbed Discrete-Time Memristive Neural Networks: Multiobjective Approach. - Ruoxia Li 001; Xingbao Gao 001; Jinde Cao (IEEE Trans. Neural Networks Learn. Syst., 2020)

A modified parameterized shift-splitting preconditioner for saddle point problems. - Bo Wu; Xing-Bao Gao 001 (Comput. Appl. Math., 2021)

Synchronization and Quasi-Synchronization of Delayed Fractional Coupled Memristive Neural Networks. - Fangyuan Ma; Xingbao Gao 001 (Neural Process. Lett., 2022)

Water cycle algorithm with adaptive sea and rivers and enhanced position updating strategy for numerical optimization. - Mengnan Tian; Xingbao Gao 001; Xueqing Yan (Neural Comput. Appl., 2023)

An enhanced adaptive differential evolution algorithm with dual performance evaluation metrics for numerical optimization. - Mengnan Tian; Xueqing Yan; Xingbao Gao 001 (Swarm Evol. Comput., 2024)

Novel Continuous- and Discrete-Time Neural Networks for Solving Quadratic Minimax Problems With Linear Equality Constraints. - Xingbao Gao 001; Li-Zhi Liao (IEEE Trans. Neural Networks Learn. Syst., 2024)

A novel one-layer neural network for solving quadratic programming problems. - Xingbao Gao 001; Lili Du (Neural Networks, 2025)