Qingshan Liu

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 38

Top Topics

Sparse Reconstruction

Resource Allocation

Constrained Optimization

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Autom. Control.

IEEE Trans. Syst. Man Cybern. Syst.

Neural Networks

Publications

Yuanyuan Yue, Qingshan Liu
Distributed dual consensus algorithm for time-varying optimization with coupled equality constraint. Appl. Math. Comput. 474 (2024)
Youshen Xia, Qingshan Liu, Jun Wang, Andrzej Cichocki
A Survey of Neurodynamic Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 8 (4) (2024)
Haitao Wang, Qingshan Liu, Chentao Xu
Predefined-time distributed optimization and anti-disturbance control for nonlinear multi-agent system with neural network estimator: A hierarchical framework. Neural Networks 175 (2024)
Han-Yu Wu, Qingshan Liu
Event-triggered secure consensus for second-order nonlinear multiagent systems against asynchronous DoS attacks. J. Frankl. Inst. 361 (14) (2024)
Kaixuan Li, Qilong Hu, Qingshan Liu, Zhigang Zeng, Fan Cheng
A Predefined-Time Consensus Algorithm of Multi-Agent System for Distributed Constrained Optimization. IEEE Trans. Netw. Sci. Eng. 11 (1) (2024)
Jinming Li, Qingshan Liu, Guoyi Chi
Distributed deep reinforcement learning based on bi-objective framework for multi-robot formation. Neural Networks 171 (2024)
Yanling Zheng, Qingshan Liu, Jun Wang
A Specified-Time Convergent Multiagent System for Distributed Optimization With a Time-Varying Objective Function. IEEE Trans. Autom. Control. 69 (2) (2024)
Chentao Xu, Qingshan Liu
A resilient distributed optimization algorithm based on consensus of multi-agent system against two attack scenarios. J. Frankl. Inst. 360 (12) (2023)
Jun Zhu, Qingshan Liu, Chentao Xu
Graph Convolutional Neural Network with Multi-Scale Attention Mechanism for EEG-Based Motion Imagery Classification. Int. J. Pattern Recognit. Artif. Intell. 37 (14) (2023)
Kaixuan Li, Qingshan Liu, Zhigang Zeng
Multiagent System With Periodic and Event-Triggered Communications for Solving Distributed Resource Allocation Problem. IEEE Trans. Syst. Man Cybern. Syst. 53 (10) (2023)
Xiwang Meng, Qingshan Liu, Jiang Xiong
An Accelerated Gradient Tracking Algorithm with Projection Error for Distributed Optimization. ICACI (2023)
Chentao Xu, Miao Wang, Guoyi Chi, Qingshan Liu
An inertial neural network approach for loco-manipulation trajectory tracking of mobile robot with redundant manipulator. Neural Networks 155 (2022)
Chentao Xu, Qingshan Liu
An inertial neural network approach for robust time-of-arrival localization considering clock asynchronization. Neural Networks 146 (2022)
Chentao Xu, Qingshan Liu
A Median-based Resilient Distributed Optimization Algorithm Against Byzantine Attack. Int. J. Artif. Intell. Tools 31 (6) (2022)
Chentao Xu, Qingshan Liu, Tingwen Huang
Resilient Penalty Function Method for Distributed Constrained Optimization under Byzantine Attack. Inf. Sci. 596 (2022)
Hanjie Liu, Jinren Zhang, Qingshan Liu, Jinde Cao
Minimum spanning tree based graph neural network for emotion classification using EEG. Neural Networks 145 (2022)
Kaixuan Li, Qingshan Liu, Zhigang Zeng
Quantized event-triggered communication based multi-agent system for distributed resource allocation optimization. Inf. Sci. 577 (2021)
Dongdong Yue, Jinde Cao, Qi Li, Qingshan Liu
Neural-Network-Based Fully Distributed Adaptive Consensus for a Class of Uncertain Multiagent Systems. IEEE Trans. Neural Networks Learn. Syst. 32 (7) (2021)
Qingshan Liu, Xinyi Le, Kaixuan Li
A Distributed Optimization Algorithm Based on Multiagent Network for Economic Dispatch With Region Partitioning. IEEE Trans. Cybern. 51 (5) (2021)
Shaosheng Xu, Jinde Cao, Qingshan Liu, Leszek Rutkowski
Optimal Control on Finite-Time Consensus of the Leader-Following Stochastic Multiagent System With Heuristic Method. IEEE Trans. Syst. Man Cybern. Syst. 51 (6) (2021)
Xingchen Xu, Qingshan Liu, Chuanlin Zhang, Zhigang Zeng
Prescribed Performance Controller Design for DC Converter System With Constant Power Loads in DC Microgrid. IEEE Trans. Syst. Man Cybern. Syst. 50 (11) (2020)
Qun Huang, Jinde Cao, Qingshan Liu
Synchronization of Delayed Inertial Cohen-Grossberg Neural Networks Under Adaptive Feedback Controller. Int. J. Comput. Intell. Syst. 13 (1) (2020)
Kaixuan Li, Qingshan Liu, Shaofu Yang, Jinde Cao, Guoping Lu
Cooperative Optimization of Dual Multiagent System for Optimal Resource Allocation. IEEE Trans. Syst. Man Cybern. Syst. 50 (11) (2020)
Shaofu Yang, Jun Wang, Qingshan Liu
Cooperative-Competitive Multiagent Systems for Distributed Minimax Optimization Subject to Bounded Constraints. IEEE Trans. Autom. Control. 64 (4) (2019)
Bingrong Xu, Qingshan Liu, Tingwen Huang
A Discrete-Time Projection Neural Network for Sparse Signal Reconstruction With Application to Face Recognition. IEEE Trans. Neural Networks Learn. Syst. 30 (1) (2019)
Shaofu Yang, Jun Wang, Qingshan Liu
Consensus of Heterogeneous Nonlinear Multiagent Systems With Duplex Control Laws. IEEE Trans. Autom. Control. 64 (12) (2019)
Yan Zhao, Qingshan Liu
A Lagrange Multiplier Method for Distributed Optimization Based on Multi-Agent Network With Private and Shared Information. IEEE Access 7 (2019)
Bingrong Xu, Qingshan Liu
Iterative projection based sparse reconstruction for face recognition. Neurocomputing 284 (2018)
Shaofu Yang, Qingshan Liu, Jun Wang
A Collaborative Neurodynamic Approach to Multiple-Objective Distributed Optimization. IEEE Trans. Neural Networks Learn. Syst. 29 (4) (2018)
Bingrong Xu, Qingshan Liu
Elastic Net Based Weighted Iterative Method for Image Classification. ICONIP (6) (2017)
Sabri Arik, Qingshan Liu, Weng Kin Lai
SI: ICONIP 2015: Learning algorithms and classification systems. Neurocomputing 248 (2017)
Qingshan Liu, Shaofu Yang, Yiguang Hong
Constrained Consensus Algorithms With Fixed Step Size for Distributed Convex Optimization Over Multiagent Networks. IEEE Trans. Autom. Control. 62 (8) (2017)
Shaofu Yang, Qingshan Liu, Jun Wang
Distributed Optimization Based on a Multiagent System in the Presence of Communication Delays. IEEE Trans. Syst. Man Cybern. Syst. 47 (5) (2017)
Qingshan Liu, Shaofu Yang, Jun Wang
A Collective Neurodynamic Approach to Distributed Constrained Optimization. IEEE Trans. Neural Networks Learn. Syst. 28 (8) (2017)
Shaofu Yang, Qingshan Liu, Jun Wang
A Multi-Agent System With a Proportional-Integral Protocol for Distributed Constrained Optimization. IEEE Trans. Autom. Control. 62 (7) (2017)
Shaofu Yang, Jun Wang, Qingshan Liu
Multiple-objective optimization based on a two-time-scale neurodynamic system. ICACI (2016)
Qingshan Liu, Jun Wang, Zhigang Zeng
Advances in Neural Networks, Intelligent Control and Information Processing. Neurocomputing 198 (2016)
Qingshan Liu, Jun Wang
-Minimization Algorithms for Sparse Signal Reconstruction Based on a Projection Neural Network. IEEE Trans. Neural Networks Learn. Syst. 27 (3) (2016)
Qingshan Liu, Jun Wang
A Projection Neural Network for Constrained Quadratic Minimax Optimization. IEEE Trans. Neural Networks Learn. Syst. 26 (11) (2015)
Qingshan Liu, Jun Wang
A Second-Order Multi-Agent Network for Bound-Constrained Distributed Optimization. IEEE Trans. Autom. Control. 60 (12) (2015)
Qingshan Liu, Tingwen Huang, Jun Wang
One-Layer Continuous-and Discrete-Time Projection Neural Networks for Solving Variational Inequalities and Related Optimization Problems. IEEE Trans. Neural Networks Learn. Syst. 25 (7) (2014)
Jinde Cao, Qingshan Liu, Sabri Arik, Jianlong Qiu, Haijun Jiang, Ahmed M. Elaiw
Computational Neuroscience. Comput. Math. Methods Medicine 2014 (2014)
Qingshan Liu, Tingwen Huang
A neural network with a single recurrent unit for associative memories based on linear optimization. Neurocomputing 118 (2013)
Qingshan Liu, Jun Wang
A One-Layer Projection Neural Network for Nonsmooth Optimization Subject to Linear Equalities and Bound Constraints. IEEE Trans. Neural Networks Learn. Syst. 24 (5) (2013)
Qingshan Liu, Chuangyin Dang, Tingwen Huang
A One-Layer Recurrent Neural Network for Real-Time Portfolio Optimization With Probability Criterion. IEEE Trans. Cybern. 43 (1) (2013)
Qingshan Liu, Zhishan Guo, Jun Wang
A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization. Neural Networks 26 (2012)
Jinde Cao, Jianquan Lu, Jinling Liang, Qingshan Liu
Preface. Math. Comput. Simul. 86 (2012)
Qingshan Liu, Jun Wang
A One-Layer Recurrent Neural Network for Constrained Nonsmooth Optimization. IEEE Trans. Syst. Man Cybern. Part B 41 (5) (2011)
Zhishan Guo, Qingshan Liu, Jun Wang
A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Subject to Linear Equality Constraints. IEEE Trans. Neural Networks 22 (12) (2011)
Qingshan Liu, Jun Wang
Finite-Time Convergent Recurrent Neural Network With a Hard-Limiting Activation Function for Constrained Optimization With Piecewise-Linear Objective Functions. IEEE Trans. Neural Networks 22 (4) (2011)
Qingshan Liu, Jinde Cao
Global exponential stability of discrete-time recurrent neural network for solving quadratic programming problems subject to linear constraints. Neurocomputing 74 (17) (2011)
Qingshan Liu, Jun Wang
A one-layer recurrent neural network for constrained single-ratio linear fractional programming. ISCAS (2011)
Qingshan Liu, Jun Wang
A One-Layer Dual Recurrent Neural Network with a Heaviside Step Activation Function for Linear Programming with Its Linear Assignment Application. ICANN (2) (2011)
Qingshan Liu, Jinde Cao
A Recurrent Neural Network Based on Projection Operator for Extended General Variational Inequalities. IEEE Trans. Syst. Man Cybern. Part B 40 (3) (2010)
Qingshan Liu, Jinde Cao, Guanrong Chen
A Novel Recurrent Neural Network with Finite-Time Convergence for Linear Programming. Neural Comput. 22 (11) (2010)
Qingshan Liu, Jun Wang
A One-Layer Dual Neural Network with a Unipolar Hard-Limiting Activation Function for Shortest-Path Routing. ICANN (2) (2010)
Qingshan Liu, Chuangyin Dang, Jinde Cao
A novel recurrent neural network with one neuron and finite-time convergence for k-winners-take-all operation. IEEE Trans. Neural Networks 21 (7) (2010)
Qingshan Liu, Jinde Cao, Jinling Liang
A Discrete-Time Recurrent Neural Network with One Neuron for k-Winners-Take-All Operation. ISNN (1) (2009)
Qingshan Liu, Jun Wang
A One-Layer Recurrent Neural Network with a Discontinuous Activation Function for Linear Programming. Neural Comput. 20 (5) (2008)
Qingshan Liu, Jun Wang
Two k-winners-take-all networks with discontinuous activation functions. Neural Networks 21 (2-3) (2008)
Qingshan Liu, Jun Wang
A One-Layer Recurrent Neural Network With a Discontinuous Hard-Limiting Activation Function for Quadratic Programming. IEEE Trans. Neural Networks 19 (4) (2008)
Qingshan Liu, Jun Wang
A One-Layer Recurrent Neural Network for Non-smooth Convex Optimization Subject to Linear Equality Constraints. ICONIP (2) (2008)
Qingshan Liu, Jun Wang
A one-layer recurrentneural network for convex programming. IJCNN (2008)
Qingshan Liu, Jun Wang
A One-layer Recurrent Neural Network with a Unipolar Hard-limiting Activation Function for k-Winners-Take-All Operation. IJCNN (2007)
Qingshan Liu, Jun Wang
A Recurrent Neural Network for Non-smooth Convex Programming Subject to Linear Equality and Bound Constraints. ICONIP (2) (2006)
Qingshan Liu, Jun Wang, Jinde Cao
A Delayed Lagrangian Network for Solving Quadratic Programming Problems with Equality Constraints. ISNN (1) (2006)
Qingshan Liu, Jinde Cao
Improved global exponential stability criteria of cellular neural networks with time-varying delays. Math. Comput. Model. 43 (3-4) (2006)
Qingshan Liu, Jinde Cao, Youshen Xia
A delayed neural network for solving linear projection equations and its analysis. IEEE Trans. Neural Networks 16 (4) (2005)