A delayed neural network for solving linear projection equations and its analysis. - Qingshan Liu 002; Jinde Cao; Youshen Xia (IEEE Trans. Neural Networks, 2005)

A Recurrent Neural Network for Non-smooth Convex Programming Subject to Linear Equality and Bound Constraints. - Qingshan Liu 002; Jun Wang 002 (ICONIP (2), 2006)

A Delayed Lagrangian Network for Solving Quadratic Programming Problems with Equality Constraints. - Qingshan Liu 002; Jun Wang 002; Jinde Cao (ISNN (1), 2006)

Improved global exponential stability criteria of cellular neural networks with time-varying delays. - Qingshan Liu 002; Jinde Cao (Math. Comput. Model., 2006)

A One-layer Recurrent Neural Network with a Unipolar Hard-limiting Activation Function for k-Winners-Take-All Operation. - Qingshan Liu 002; Jun Wang 002 (IJCNN, 2007)

A One-Layer Recurrent Neural Network for Non-smooth Convex Optimization Subject to Linear Equality Constraints. - Qingshan Liu 002; Jun Wang 002 (ICONIP (2), 2008)

A one-layer recurrentneural network for convex programming. - Qingshan Liu 002; Jun Wang 002 (IJCNN, 2008)

A One-Layer Recurrent Neural Network with a Discontinuous Activation Function for Linear Programming. - Qingshan Liu 002; Jun Wang 002 (Neural Comput., 2008)

Two k-winners-take-all networks with discontinuous activation functions. - Qingshan Liu 002; Jun Wang 002 (Neural Networks, 2008)

A One-Layer Recurrent Neural Network With a Discontinuous Hard-Limiting Activation Function for Quadratic Programming. - Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Neural Networks, 2008)

A Discrete-Time Recurrent Neural Network with One Neuron for k-Winners-Take-All Operation. - Qingshan Liu 002; Jinde Cao; Jinling Liang (ISNN (1), 2009)

A One-Layer Dual Neural Network with a Unipolar Hard-Limiting Activation Function for Shortest-Path Routing. - Qingshan Liu 002; Jun Wang 002 (ICANN (2), 2010)

Global exponential system of projection neural networks for system of generalized variational inequalities and related nonlinear minimax problems. - Qingshan Liu 002; Yongqing Yang (Neurocomputing, 2010)

A Novel Recurrent Neural Network with Finite-Time Convergence for Linear Programming. - Qingshan Liu 002; Jinde Cao; Guanrong Chen (Neural Comput., 2010)

A novel recurrent neural network with one neuron and finite-time convergence for k-winners-take-all operation. - Qingshan Liu 002; Chuangyin Dang; Jinde Cao (IEEE Trans. Neural Networks, 2010)

A Recurrent Neural Network Based on Projection Operator for Extended General Variational Inequalities. - Qingshan Liu 002; Jinde Cao (IEEE Trans. Syst. Man Cybern. Part B, 2010)

A One-Layer Dual Recurrent Neural Network with a Heaviside Step Activation Function for Linear Programming with Its Linear Assignment Application. - Qingshan Liu 002; Jun Wang 002 (ICANN (2), 2011)

A one-layer recurrent neural network for constrained single-ratio linear fractional programming. - Qingshan Liu 002; Jun Wang 002 (ISCAS, 2011)

Global exponential stability of discrete-time recurrent neural network for solving quadratic programming problems subject to linear constraints. - Qingshan Liu 002; Jinde Cao (Neurocomputing, 2011)

A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Subject to Linear Equality Constraints. - Zhishan Guo; Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Neural Networks, 2011)

Finite-Time Convergent Recurrent Neural Network With a Hard-Limiting Activation Function for Constrained Optimization With Piecewise-Linear Objective Functions. - Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Neural Networks, 2011)

A One-Layer Recurrent Neural Network for Constrained Nonsmooth Optimization. - Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Recurrent Neural Networks with Discontinuous Activation Functions for Convex Optimization. - Qingshan Liu 002; Jun Wang 002 (Integration of Swarm Intelligence and Artificial Neural Network, 2011)

Collaborative Representation Based Projections for Face Recognition. - Wankou Yang; Changyin Sun 001; Qingshan Liu 002; Karl Ricanek (CCPR, 2012)

Preface. - Jinde Cao; Jianquan Lu; Jinling Liang; Qingshan Liu 002 (Math. Comput. Simul., 2012)

Generalized recurrent neural network for ϵ-insensitive support vector regression. - Yan Zhao; Qingshan Liu 002 (Math. Comput. Simul., 2012)

A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization. - Qingshan Liu 002; Zhishan Guo; Jun Wang 002 (Neural Networks, 2012)

A continuous-time recurrent neural network for real-time support vector regression. - Qingshan Liu 002; Yan Zhao (CICA, 2013)

Advances on Brain Inspired Computing. - Stefano Squartini; Sanqing Hu; Qingshan Liu 002 (Cogn. Comput., 2013)

A neural network with a single recurrent unit for associative memories based on linear optimization. - Qingshan Liu 002; Tingwen Huang (Neurocomputing, 2013)

A One-Layer Recurrent Neural Network for Real-Time Portfolio Optimization With Probability Criterion. - Qingshan Liu 002; Chuangyin Dang; Tingwen Huang (IEEE Trans. Cybern., 2013)

A One-Layer Projection Neural Network for Nonsmooth Optimization Subject to Linear Equalities and Bound Constraints. - Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2013)

Computational Neuroscience. - Jinde Cao; Qingshan Liu 002; Sabri Arik; Jianlong Qiu; Haijun Jiang; Ahmed M. Elaiw (Comput. Math. Methods Medicine, 2014)

One-Layer Continuous-and Discrete-Time Projection Neural Networks for Solving Variational Inequalities and Related Optimization Problems. - Qingshan Liu 002; Tingwen Huang; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Continuous-Time Multi-agent Network for Distributed Least Absolute Deviation. - Qingshan Liu 002; Yan Zhao; Long Cheng (ISNN, 2015)

A Second-Order Multi-Agent Network for Bound-Constrained Distributed Optimization. - Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Autom. Control., 2015)

A Projection Neural Network for Constrained Quadratic Minimax Optimization. - Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Multiple-objective optimization based on a two-time-scale neurodynamic system. - Shaofu Yang; Jun Wang 002; Qingshan Liu 002 (ICACI, 2016)

Advances in Neural Networks, Intelligent Control and Information Processing. - Qingshan Liu 002; Jun Wang 002; Zhigang Zeng (Neurocomputing, 2016)

L1-Minimization Algorithms for Sparse Signal Reconstruction Based on a Projection Neural Network. - Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Cognitive Load Recognition Using Multi-threshold United Complex Network. - Jian Shang; Qingshan Liu 002 (ICONIP (6), 2017)

Elastic Net Based Weighted Iterative Method for Image Classification. - Bingrong Xu; Qingshan Liu 002 (ICONIP (6), 2017)

A continuous-time algorithm based on multi-agent system for distributed least absolute deviation subject to hybrid constraints. - Qingshan Liu 002; Kaixuan Li 001 (IECON, 2017)

Cognitive Load Recognition Using Multi-channel Complex Network Method. - Jian Shang; Wei Zhang 158; Jiang Xiong; Qingshan Liu 002 (ISNN (1), 2017)

SI: ICONIP 2015: Learning algorithms and classification systems. - Sabri Arik; Qingshan Liu 002; Weng Kin Lai (Neurocomputing, 2017)

Constrained Consensus Algorithms With Fixed Step Size for Distributed Convex Optimization Over Multiagent Networks. - Qingshan Liu 002; Shaofu Yang; Yiguang Hong (IEEE Trans. Autom. Control., 2017)

A Multi-Agent System With a Proportional-Integral Protocol for Distributed Constrained Optimization. - Shaofu Yang; Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Autom. Control., 2017)

A Collective Neurodynamic Approach to Distributed Constrained Optimization. - Qingshan Liu 002; Shaofu Yang; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Distributed Optimization Based on a Multiagent System in the Presence of Communication Delays. - Shaofu Yang; Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Using the center loss function to improve deep learning performance for EEG signal classification. - Wenxiang Zhang; Qingshan Liu 002 (ICACI, 2018)

A Distributed Algorithm Based on Multi-agent Network for Solving Linear Algebraic Equation. - Qingshan Liu 002; Jiang Xiong; Jing Zhong; Hong Ying; Kaixuan Li 001 (ISNN, 2018)

Iterative projection based sparse reconstruction for face recognition. - Bingrong Xu; Qingshan Liu 002 (Neurocomputing, 2018)

A Continuous-Time Distributed Algorithm for Solving a Class of Decomposable Nonconvex Quadratic Programming. - Yan Zhao; Qingshan Liu 002 (J. Artif. Intell. Soft Comput. Res., 2018)

A Collaborative Neurodynamic Approach to Multiple-Objective Distributed Optimization. - Shaofu Yang; Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Mixed-Norm Projection-Based Iterative Algorithm for Face Recognition. - Qingshan Liu 002; Jiang Xiong; Shaofu Yang (ISNN (2), 2019)

A Lagrange Multiplier Method for Distributed Optimization Based on Multi-Agent Network With Private and Shared Information. - Yan Zhao; Qingshan Liu 002 (IEEE Access, 2019)

Cooperative-Competitive Multiagent Systems for Distributed Minimax Optimization Subject to Bounded Constraints. - Shaofu Yang; Jun Wang 002; Qingshan Liu 002 (IEEE Trans. Autom. Control., 2019)

Consensus of Heterogeneous Nonlinear Multiagent Systems With Duplex Control Laws. - Shaofu Yang; Jun Wang 002; Qingshan Liu 002 (IEEE Trans. Autom. Control., 2019)

A Discrete-Time Projection Neural Network for Sparse Signal Reconstruction With Application to Face Recognition. - Bingrong Xu; Qingshan Liu 002; Tingwen Huang (IEEE Trans. Neural Networks Learn. Syst., 2019)

Adaptive State Observer Design for Dynamic Links in Complex Dynamical Networks. - Zilin Gao; Jiang Xiong; Jing Zhong; Fuming Liu; Qingshan Liu 002 (Comput. Intell. Neurosci., 2020)

Synchronization of Delayed Inertial Cohen-Grossberg Neural Networks Under Adaptive Feedback Controller. - Qun Huang 002; Jinde Cao; Qingshan Liu 002 (Int. J. Comput. Intell. Syst., 2020)

A consensus algorithm based on collective neurodynamic system for distributed optimization with linear and bound constraints. - Yan Zhao; Qingshan Liu 002 (Neural Networks, 2020)

Cooperative Optimization of Dual Multiagent System for Optimal Resource Allocation. - Kaixuan Li 001; Qingshan Liu 002; Shaofu Yang; Jinde Cao; Guoping Lu (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Prescribed Performance Controller Design for DC Converter System With Constant Power Loads in DC Microgrid. - Xingchen Xu; Qingshan Liu 002; Chuanlin Zhang; Zhigang Zeng (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Quantized event-triggered communication based multi-agent system for distributed resource allocation optimization. - Kaixuan Li 001; Qingshan Liu 002; Zhigang Zeng (Inf. Sci., 2021)

A curvature-segmentation-based minimum time algorithm for autonomous vehicle velocity planning. - Miao Wang; Qingshan Liu 002; Yanling Zheng (Inf. Sci., 2021)

A Distributed Optimization Algorithm Based on Multiagent Network for Economic Dispatch With Region Partitioning. - Qingshan Liu 002; Xinyi Le; Kaixuan Li 001 (IEEE Trans. Cybern., 2021)

Neural-Network-Based Fully Distributed Adaptive Consensus for a Class of Uncertain Multiagent Systems. - Dongdong Yue; Jinde Cao; Qi Li 017; Qingshan Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Optimal Control on Finite-Time Consensus of the Leader-Following Stochastic Multiagent System With Heuristic Method. - Shaosheng Xu; Jinde Cao; Qingshan Liu 002; Leszek Rutkowski (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Distributed Optimization Algorithm for Multi-Robot Formation with Virtual Reference Center. - Jingyi Huang; Shuaiyu Zhou; Hua Tu; Yuhong Yao; Qingshan Liu 002 (IEEE CAA J. Autom. Sinica, 2022)

A Median-based Resilient Distributed Optimization Algorithm Against Byzantine Attack. - Chentao Xu; Qingshan Liu 002 (Int. J. Artif. Intell. Tools, 2022)

Distributed machine learning, optimization and applications. - Qingshan Liu 002; Zhigang Zeng; Yaochu Jin (Neurocomputing, 2022)

A review of distributed optimization: Problems, models and algorithms. - Yanling Zheng; Qingshan Liu 002 (Neurocomputing, 2022)

Resilient Penalty Function Method for Distributed Constrained Optimization under Byzantine Attack. - Chentao Xu; Qingshan Liu 002; Tingwen Huang (Inf. Sci., 2022)

Minimum spanning tree based graph neural network for emotion classification using EEG. - Hanjie Liu; Jinren Zhang; Qingshan Liu 002; Jinde Cao (Neural Networks, 2022)

An inertial neural network approach for robust time-of-arrival localization considering clock asynchronization. - Chentao Xu; Qingshan Liu 002 (Neural Networks, 2022)

An inertial neural network approach for loco-manipulation trajectory tracking of mobile robot with redundant manipulator. - Chentao Xu; Miao Wang; Guoyi Chi; Qingshan Liu 002 (Neural Networks, 2022)

An Accelerated Gradient Tracking Algorithm with Projection Error for Distributed Optimization. - Xiwang Meng; Qingshan Liu 002; Jiang Xiong (ICACI, 2023)

A Discrete-time Distributed Optimization Algorithm for Multi-robot Coordination Target Monitor. - Yanling Zheng; Qingshan Liu 002; Guoyi Chi (ICARA, 2023)

Outer Synchronization for Multi-derivative Coupled Complex Networks with and without External Disturbance. - Han-Yu Wu; Qingshan Liu 002 (ICONIP (1), 2023)

A Distributed Projection-Based Algorithm with Local Estimators for Optimal Formation of Multi-robot System. - Yuanyuan Yue; Qingshan Liu 002; Ziming Zhang (ICONIP (1), 2023)

A consensus algorithm based on multi-agent system with state noise and gradient disturbance for distributed convex optimization. - Xiwang Meng; Qingshan Liu 002 (Neurocomputing, 2023)

A resilient distributed optimization algorithm based on consensus of multi-agent system against two attack scenarios. - Chentao Xu; Qingshan Liu 002 (J. Frankl. Inst., 2023)

Multiagent System With Periodic and Event-Triggered Communications for Solving Distributed Resource Allocation Problem. - Kaixuan Li 001; Qingshan Liu 002; Zhigang Zeng (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Graph Convolutional Neural Network with Multi-Scale Attention Mechanism for EEG-Based Motion Imagery Classification. - Jun Zhu; Qingshan Liu 002; Chentao Xu (Int. J. Pattern Recognit. Artif. Intell., 2023)

Distributed dual consensus algorithm for time-varying optimization with coupled equality constraint. - Yuanyuan Yue; Qingshan Liu 002 (Appl. Math. Comput., 2024)

Event-triggered secure consensus for second-order nonlinear multiagent systems against asynchronous DoS attacks. - Han-Yu Wu; Qingshan Liu 002 (J. Frankl. Inst., 2024)

Distributed deep reinforcement learning based on bi-objective framework for multi-robot formation. - Jinming Li; Qingshan Liu 002; Guoyi Chi (Neural Networks, 2024)

Predefined-time distributed optimization and anti-disturbance control for nonlinear multi-agent system with neural network estimator: A hierarchical framework. - Haitao Wang 021; Qingshan Liu 002; Chentao Xu (Neural Networks, 2024)

A Predefined-Time Consensus Algorithm of Multi-Agent System for Distributed Constrained Optimization. - Kaixuan Li 001; Qilong Hu; Qingshan Liu 002; Zhigang Zeng; Fan Cheng 001 (IEEE Trans. Netw. Sci. Eng., 2024)

A Specified-Time Convergent Multiagent System for Distributed Optimization With a Time-Varying Objective Function. - Yanling Zheng; Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Autom. Control., 2024)

A Survey of Neurodynamic Optimization. - Youshen Xia; Qingshan Liu 002; Jun Wang 002; Andrzej Cichocki (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Distributed Multiagent System for Time-Varying Quadratic Programming With Application to Target Encirclement of Multirobot System. - Qingshan Liu 002; Yuanyuan Yue (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Distributed Aggregative Optimization on Nonholonomic Multirobot Systems With Predefined-Time Estimation. - Jingyi Huang; Chuanhai Yang; Qingshan Liu 002 (IEEE Control. Syst. Lett., 2025)

A privacy-preserving resilient algorithm for multi-agent cooperative optimization to defend against both Byzantine and eavesdropping attacks. - Chentao Xu; Qingshan Liu 002 (Expert Syst. Appl., 2025)

Distributed finite-time convergent algorithms for time-varying optimization with coupled equality constraint over weight-unbalanced digraphs. - Yuanyuan Yue; Qingshan Liu 002; Haitao Wang 021; Jingyi Huang (Neurocomputing, 2025)

Adaptive fuzzy-based distributed optimization with privacy protection for uncertain high-order nonlinear multi-agent systems against two types of cyber attacks. - Han-Yu Wu; Qingshan Liu 002; Ju H. Park 001 (J. Frankl. Inst., 2025)

Neural-network-based practical specified-time resilient formation maneuver control for second-order nonlinear multi-robot systems under FDI attacks. - Chuanhai Yang; Jingyi Huang; Shuang Wu; Qingshan Liu 002 (Neural Networks, 2025)

Observer-Based Secure Consensus for Multiagent Systems Under Multimode DoS Attacks With Application to Power System. - Han-Yu Wu; Qingshan Liu 002; Ju H. Park 001 (IEEE Trans. Cybern., 2025)

Distributed Predefined-Time Convergent Algorithm for Solving Time-Varying Resource Allocation Problem Over Directed Networks. - Yuanyuan Yue; Qingshan Liu 002 (IEEE Trans. Cybern., 2025)

Predefined-Time Fuzzy Adaptive Optimal Secure Consensus Control for Multiagent Systems With Unknown Follower Dynamics. - Haitao Wang 021; Qingshan Liu 002; Ju H. Park 001 (IEEE Trans. Fuzzy Syst., 2025)

A Unified Primal and Dual Consensus Algorithm With Predefined-Time Convergence for Time-Varying Optimization. - Yuanyuan Yue; Qingshan Liu 002 (IEEE Trans. Syst. Man Cybern. Syst., 2025)