Xing He
Orcid: 0000-0001-8652-8479Affiliations:
- Southwest University, School of Electronics and Information Engineering, Chongqing, China
- Chongqing University, College of Computer Science, China (former)
According to our database1,
Xing He
authored at least 113 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Distributed Inertial Proximal Neurodynamic Approach for Sparse Recovery on Directed Networks.
IEEE Trans. Syst. Man Cybern. Syst., October, 2024
A Novel Projection Neural Network for Sparse Optimization With ${L_\mathrm{{1}}}$-Minimization Problem.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2024
Finite-Time Synchronization of Neural Networks With Proportional Delays for RGB-D Image Protection.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Bipartite Synchronization of Signed Networks With Time-Vary Delays Based on T-S Fuzzy System.
IEEE Trans. Fuzzy Syst., June, 2024
Accelerated Primal-Dual Projection Neurodynamic Approach With Time Scaling for Linear and Set Constrained Convex Optimization Problems.
IEEE CAA J. Autom. Sinica, June, 2024
Impulsive Projection Neural Networks for Variational Inequalities and Sparse Signal Reconstruction Application.
Cogn. Comput., May, 2024
Output Feedback-Based Consensus for Nonlinear Multiagent Systems: The Event-Triggered Communication Strategy.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
Unified Single-Layer Inverse-Free Neurodynamic Network for Solving Absolute Value Equations.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024
IEEE Trans. Autom. Control., March, 2024
Circuit Implementation of Proximal Projection Neural Networks for Composite Optimization Problems.
IEEE Trans. Ind. Electron., February, 2024
Fixed-time neural networks with time-invariant and time-varying coefficients for mixed variational inequalities.
Inf. Sci., February, 2024
Neurodynamic Algorithms With Finite/Fixed-Time Convergence for Sparse Optimization via ℓ<sub>1</sub> Regularization.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024
Projection neural networks with finite-time and fixed-time convergence for sparse signal reconstruction.
Neural Comput. Appl., January, 2024
A fixed-time converging neurodynamic approach with time-varying coefficients for <i>l</i><sub>1</sub>-minimization problem.
Inf. Sci., January, 2024
FPGA Implementation of Classical Dynamic Neural Networks for Smooth and Nonsmooth Optimization Problems.
IEEE Trans. Sustain. Comput., 2024
Inverse-free distributed neurodynamic optimization algorithms for sparse reconstruction.
Signal Process., 2024
Fixed-time synchronization of complex-valued neural networks for image protection and 3D point cloud information protection.
Neural Networks, 2024
2023
Accelerated Projection Algorithm Based on Smoothing Approximation for Distributed Nonsmooth Optimization.
IEEE Trans. Control. Netw. Syst., December, 2023
Arbitrary-Time Stable Gradient Flows Using Neurodynamic System for Continuous-Time Optimization.
IEEE Trans. Circuits Syst. II Express Briefs, December, 2023
A Proximal Neurodynamic Network With Fixed-Time Convergence for Equilibrium Problems and Its Applications.
IEEE Trans. Neural Networks Learn. Syst., October, 2023
FPGA Implementation for Finite-Time and Fixed-Time Neurodynamic Algorithms in Constrained Optimization Problems.
IEEE Trans. Circuits Syst. I Regul. Pap., September, 2023
A Sparse Recovery Algorithm Using the Neurodynamic System With Predefined Time Convergence.
IEEE Trans. Circuits Syst. II Express Briefs, August, 2023
IEEE Trans. Circuits Syst. II Express Briefs, July, 2023
Distributed Smoothing Projection Neurodynamic Approaches for Constrained Nonsmooth Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2023
Distributed Inertial Continuous and Discrete Time Algorithms for Solving Resource Allocation Problem.
IEEE Trans. Netw. Sci. Eng., 2023
Accelerated Primal-Dual Mirror Dynamics for Centralized and Distributed Constrained Convex Optimization Problems.
J. Mach. Learn. Res., 2023
A distributed neurodynamic algorithm for sparse signal reconstruction via ℓ1-minimization.
Neurocomputing, 2023
2022
Centralized and Collective Neurodynamic Optimization Approaches for Sparse Signal Reconstruction via L₁-Minimization.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Distributed Continuous and Discrete Time Projection Neurodynamic Approaches for Sparse Recovery.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
A Novel Fixed-Time Converging Neurodynamic Approach to Mixed Variational Inequalities and Applications.
IEEE Trans. Cybern., 2022
A Two-Layer Distributed Algorithm Using Neurodynamic System for Solving L<sub>1</sub>-Minimization.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
Neurodynamic Network for Absolute Value Equations: A Fixed-Time Convergence Technique.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
A Neurodynamic Algorithm for Energy Scheduling Game in Microgrid Distribution Networks.
Neural Process. Lett., 2022
Solving Mixed Variational Inequalities Via a Proximal Neurodynamic Network with Applications.
Neural Process. Lett., 2022
Neural Networks, 2022
Neurodynamic approaches for sparse recovery problem with linear inequality constraints.
Neural Networks, 2022
Sparse signal reconstruction via recurrent neural networks with hyperbolic tangent function.
Neural Networks, 2022
Fixed-Time Stable Neurodynamic Flow to Sparse Signal Recovery via Nonconvex L1-β2-Norm.
Neural Comput., 2022
A finite-time projection neural network to solve the joint optimal dispatching problem of CHP and wind power.
Neural Comput. Appl., 2022
Neurocomputing, 2022
A Smoothing Inertial Neural Network for Sparse Signal Reconstruction with Noise Measurements via L<sub>p</sub>-L<sub>1</sub> minimization.
Circuits Syst. Signal Process., 2022
2021
Smoothing inertial neurodynamic approach for sparse signal reconstruction via Lp-norm minimization.
Neural Networks, 2021
Neural Networks, 2021
A continuous-time consensus algorithm using neurodynamic system for distributed time-varying optimization with inequality constraints.
J. Frankl. Inst., 2021
Exponential convergence of a proximal projection neural network for mixed variational inequalities and applications.
Neurocomputing, 2021
A Fully Distributed Approach to Optimal Energy Scheduling of Users and Generators Considering a Novel Combined Neurodynamic Algorithm in Smart Grid.
IEEE CAA J. Autom. Sinica, 2021
2020
IEEE Trans. Ind. Informatics, 2020
Optimizing the Dynamic Economic Dispatch Problem by the Distributed Consensus-Based ADMM Approach.
IEEE Trans. Ind. Informatics, 2020
Average Quasi-Consensus Algorithm for Distributed Constrained Optimization: Impulsive Communication Framework.
IEEE Trans. Cybern., 2020
Distributed Neuro-Dynamic Algorithm for Price-Based Game in Energy Consumption System.
Neural Process. Lett., 2020
A smoothing neural network for minimization l1-lp in sparse signal reconstruction with measurement noises.
Neural Networks, 2020
A combined neurodynamic approach to optimize the real-time price-based demand response management problem using mixed zero-one programming.
Neural Comput. Appl., 2020
A neurodynamic algorithm to optimize residential demand response problem of plug-in electric vehicle.
Neurocomputing, 2020
Neurocomputing, 2020
A Neurodynamic Algorithm for Sparse Signal Reconstruction with Finite-Time Convergence.
Circuits Syst. Signal Process., 2020
Collective Neurodynamic Optimization for Image Segmentation by Binary Model with Constraints.
Cogn. Comput., 2020
2019
A Continuous-Time Algorithm for Distributed Optimization Based on Multiagent Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Distributed Energy Management Strategy for Reaching Cost-Driven Optimal Operation Integrated With Wind Forecasting in Multimicrogrids System.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Distributed Power Management for Dynamic Economic Dispatch in the Multimicrogrids Environment.
IEEE Trans. Control. Syst. Technol., 2019
Neural Comput. Appl., 2019
Nonnegative matrix factorization algorithms based on the inertial projection neural network.
Neural Comput. Appl., 2019
J. Control. Decis., 2019
Distributed Neuro-Dynamic Optimization for Multi-Objective Power Management Problem in Micro-Grid.
Neurocomputing, 2019
A robust and secure image sharing scheme with personal identity information embedded.
Comput. Secur., 2019
Plug-in electric vehicle charging management via a distributed neurodynamic algorithm.
Appl. Soft Comput., 2019
A strategy to optimize the multi-energy system in microgrid based on neurodynamic algorithm.
Appl. Soft Comput., 2019
IEEE Access, 2019
A Hybrid Neurodynamic Algorithm to Multi-objective Operation Management in Microgrid.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
2018
IEEE Trans. Syst. Man Cybern. Syst., 2018
Distributed Optimal Consensus Over Resource Allocation Network and Its Application to Dynamical Economic Dispatch.
IEEE Trans. Neural Networks Learn. Syst., 2018
Signal Process., 2018
Smoothing inertial projection neural network for minimization Lp-q in sparse signal reconstruction.
Neural Networks, 2018
Neural Comput. Appl., 2018
Input-to-state stability of impulsive inertial memristive neural networks with time-varying delayed.
J. Frankl. Inst., 2018
An inertial projection neural network for sparse signal reconstruction via l1-2 minimization.
Neurocomputing, 2018
Neurocomputing, 2018
Appl. Intell., 2018
Proceedings of the 15th International Conference on Control, 2018
2017
IEEE Trans. Cybern., 2017
Global exponential stability of inertial memristor-based neural networks with time-varying delays and impulses.
Neural Networks, 2017
Collective neurodynamic optimization for economic emission dispatch problem considering valve point effect in microgrid.
Neural Networks, 2017
Neural Comput. Appl., 2017
IEEE Internet Things J., 2017
Circuit implementation of digitally programmable transconductance amplifier in analog simulation of reaction-diffusion neural model.
Neurocomputing, 2017
A Memristor-Based Lorenz Circuit and Its Stabilization via Variable-Time Impulsive Control.
Int. J. Bifurc. Chaos, 2017
A Discrete-Time Projection Neural Network for Solving Degenerate Convex Quadratic Optimization.
Circuits Syst. Signal Process., 2017
A distributed strategy based on ADMM for dynamic economic dispatch problems considering environmental cost function with exponential term.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
Proceedings of the Ninth International Conference on Advanced Computational Intelligence, 2017
2016
A Generalized Hopfield Network for Nonsmooth Constrained Convex Optimization: Lie Derivative Approach.
IEEE Trans. Neural Networks Learn. Syst., 2016
Neural Networks, 2016
A distributed continuous time consensus algorithm for maximize social welfare in micro grid.
J. Frankl. Inst., 2016
Recurrent neural network for solving model predictive control problem in application of four-tank benchmark.
Neurocomputing, 2016
Neurocomputing, 2016
2015
Synchronization of Memristor-Based Coupling Recurrent Neural Networks With Time-Varying Delays and Impulses.
IEEE Trans. Neural Networks Learn. Syst., 2015
Signal Process. Image Commun., 2015
Neurocomputing, 2015
An intelligent method of swarm neural networks for equalities-constrained nonconvex optimization.
Neurocomputing, 2015
Appl. Math. Comput., 2015
2014
IEEE Trans. Neural Networks Learn. Syst., 2014
Neural network for solving Nash equilibrium problem in application of multiuser power control.
Neural Networks, 2014
Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
IEEE Trans. Neural Networks Learn. Syst., 2013
Neural Comput. Appl., 2013
Neural Comput. Appl., 2013
2012
Neurocomputing, 2012
Int. J. Bifurc. Chaos, 2012