Qingshan Liu
Orcid: 0000-0001-7672-5129Affiliations:
- Huazhong University of Science and Technology, School of Automation, Wuhan, China
- Southeast University, School of Automation, Nanjing, China
According to our database1,
Qingshan Liu
authored at least 76 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
A Specified-Time Convergent Multiagent System for Distributed Optimization With a Time-Varying Objective Function.
IEEE Trans. Autom. Control., February, 2024
A Predefined-Time Consensus Algorithm of Multi-Agent System for Distributed Constrained Optimization.
IEEE Trans. Netw. Sci. Eng., 2024
2023
Graph Convolutional Neural Network with Multi-Scale Attention Mechanism for EEG-Based Motion Imagery Classification.
Int. J. Pattern Recognit. Artif. Intell., November, 2023
Multiagent System With Periodic and Event-Triggered Communications for Solving Distributed Resource Allocation Problem.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023
A resilient distributed optimization algorithm based on consensus of multi-agent system against two attack scenarios.
J. Frankl. Inst., 2023
An Accelerated Gradient Tracking Algorithm with Projection Error for Distributed Optimization.
Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023
2022
An inertial neural network approach for loco-manipulation trajectory tracking of mobile robot with redundant manipulator.
Neural Networks, 2022
An inertial neural network approach for robust time-of-arrival localization considering clock asynchronization.
Neural Networks, 2022
Minimum spanning tree based graph neural network for emotion classification using EEG.
Neural Networks, 2022
Resilient Penalty Function Method for Distributed Constrained Optimization under Byzantine Attack.
Inf. Sci., 2022
A Median-based Resilient Distributed Optimization Algorithm Against Byzantine Attack.
Int. J. Artif. Intell. Tools, 2022
2021
Optimal Control on Finite-Time Consensus of the Leader-Following Stochastic Multiagent System With Heuristic Method.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Neural-Network-Based Fully Distributed Adaptive Consensus for a Class of Uncertain Multiagent Systems.
IEEE Trans. Neural Networks Learn. Syst., 2021
A Distributed Optimization Algorithm Based on Multiagent Network for Economic Dispatch With Region Partitioning.
IEEE Trans. Cybern., 2021
Quantized event-triggered communication based multi-agent system for distributed resource allocation optimization.
Inf. Sci., 2021
2020
Prescribed Performance Controller Design for DC Converter System With Constant Power Loads in DC Microgrid.
IEEE Trans. Syst. Man Cybern. Syst., 2020
IEEE Trans. Syst. Man Cybern. Syst., 2020
A consensus algorithm based on collective neurodynamic system for distributed optimization with linear and bound constraints.
Neural Networks, 2020
Synchronization of Delayed Inertial Cohen-Grossberg Neural Networks Under Adaptive Feedback Controller.
Int. J. Comput. Intell. Syst., 2020
Comput. Intell. Neurosci., 2020
2019
A Discrete-Time Projection Neural Network for Sparse Signal Reconstruction With Application to Face Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2019
IEEE Trans. Autom. Control., 2019
Cooperative-Competitive Multiagent Systems for Distributed Minimax Optimization Subject to Bounded Constraints.
IEEE Trans. Autom. Control., 2019
A Lagrange Multiplier Method for Distributed Optimization Based on Multi-Agent Network With Private and Shared Information.
IEEE Access, 2019
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
2018
A Collaborative Neurodynamic Approach to Multiple-Objective Distributed Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2018
A Continuous-Time Distributed Algorithm for Solving a Class of Decomposable Nonconvex Quadratic Programming.
J. Artif. Intell. Soft Comput. Res., 2018
Neurocomputing, 2018
A Distributed Algorithm Based on Multi-agent Network for Solving Linear Algebraic Equation.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018
2017
Distributed Optimization Based on a Multiagent System in the Presence of Communication Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2017
IEEE Trans. Neural Networks Learn. Syst., 2017
A Multi-Agent System With a Proportional-Integral Protocol for Distributed Constrained Optimization.
IEEE Trans. Autom. Control., 2017
Constrained Consensus Algorithms With Fixed Step Size for Distributed Convex Optimization Over Multiagent Networks.
IEEE Trans. Autom. Control., 2017
Neurocomputing, 2017
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
A continuous-time algorithm based on multi-agent system for distributed least absolute deviation subject to hybrid constraints.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
L<sub>1</sub>-Minimization Algorithms for Sparse Signal Reconstruction Based on a Projection Neural Network.
IEEE Trans. Neural Networks Learn. Syst., 2016
Neurocomputing, 2016
Proceedings of the Eighth International Conference on Advanced Computational Intelligence, 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
IEEE Trans. Autom. Control., 2015
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015
2014
One-Layer Continuous-and Discrete-Time Projection Neural Networks for Solving Variational Inequalities and Related Optimization Problems.
IEEE Trans. Neural Networks Learn. Syst., 2014
2013
A One-Layer Projection Neural Network for Nonsmooth Optimization Subject to Linear Equalities and Bound Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2013
A One-Layer Recurrent Neural Network for Real-Time Portfolio Optimization With Probability Criterion.
IEEE Trans. Cybern., 2013
A neural network with a single recurrent unit for associative memories based on linear optimization.
Neurocomputing, 2013
Proceedings of the IEEE Symposium on Computational Intelligence in Control and Automation, 2013
2012
A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization.
Neural Networks, 2012
Math. Comput. Simul., 2012
2011
Recurrent Neural Networks with Discontinuous Activation Functions for Convex Optimization.
Proceedings of the Integration of Swarm Intelligence and Artificial Neural Network, 2011
IEEE Trans. Syst. Man Cybern. Part B, 2011
Finite-Time Convergent Recurrent Neural Network With a Hard-Limiting Activation Function for Constrained Optimization With Piecewise-Linear Objective Functions.
IEEE Trans. Neural Networks, 2011
A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Subject to Linear Equality Constraints.
IEEE Trans. Neural Networks, 2011
Global exponential stability of discrete-time recurrent neural network for solving quadratic programming problems subject to linear constraints.
Neurocomputing, 2011
A one-layer recurrent neural network for constrained single-ratio linear fractional programming.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011
A One-Layer Dual Recurrent Neural Network with a Heaviside Step Activation Function for Linear Programming with Its Linear Assignment Application.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
2010
A Recurrent Neural Network Based on Projection Operator for Extended General Variational Inequalities.
IEEE Trans. Syst. Man Cybern. Part B, 2010
A novel recurrent neural network with one neuron and finite-time convergence for k-winners-take-all operation.
IEEE Trans. Neural Networks, 2010
A Novel Recurrent Neural Network with Finite-Time Convergence for Linear Programming.
Neural Comput., 2010
A One-Layer Dual Neural Network with a Unipolar Hard-Limiting Activation Function for Shortest-Path Routing.
Proceedings of the Artificial Neural Networks, 2010
2009
A Discrete-Time Recurrent Neural Network with One Neuron for k-Winners-Take-All Operation.
Proceedings of the Advances in Neural Networks, 2009
2008
A One-Layer Recurrent Neural Network With a Discontinuous Hard-Limiting Activation Function for Quadratic Programming.
IEEE Trans. Neural Networks, 2008
Neural Networks, 2008
A One-Layer Recurrent Neural Network with a Discontinuous Activation Function for Linear Programming.
Neural Comput., 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
A One-Layer Recurrent Neural Network for Non-smooth Convex Optimization Subject to Linear Equality Constraints.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
2007
A One-layer Recurrent Neural Network with a Unipolar Hard-limiting Activation Function for k-Winners-Take-All Operation.
Proceedings of the International Joint Conference on Neural Networks, 2007
2006
Improved global exponential stability criteria of cellular neural networks with time-varying delays.
Math. Comput. Model., 2006
A Delayed Lagrangian Network for Solving Quadratic Programming Problems with Equality Constraints.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
A Recurrent Neural Network for Non-smooth Convex Programming Subject to Linear Equality and Bound Constraints.
Proceedings of the Neural Information Processing, 13th International Conference, 2006
2005
IEEE Trans. Neural Networks, 2005