Xing He

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 93

Top Venues

Neurocomputing

Neural Networks

IEEE Trans. Neural Networks Learn. Syst.

Neural Comput. Appl.

Publications

Jintao Wu, Xing He, Youcheng Niu, Tingwen Huang, Junzhi Yu
Circuit Implementation of Proximal Projection Neural Networks for Composite Optimization Problems. IEEE Trans. Ind. Electron. 71 (2) (2024)
Renfeng Xiao, Xing He, Tingwen Huang, Junzhi Yu
FPGA Implementation of Classical Dynamic Neural Networks for Smooth and Nonsmooth Optimization Problems. IEEE Trans. Sustain. Comput. 9 (2) (2024)
Jinyue Yang, Junjian Huang, Xing He, Shiping Wen, Huamin Wang
Bipartite Synchronization of Signed Networks With Time-Vary Delays Based on T-S Fuzzy System. IEEE Trans. Fuzzy Syst. 32 (6) (2024)
Wenqiang Yang, Junjian Huang, Xing He, Shiping Wen
Fixed-time synchronization of complex-valued neural networks for image protection and 3D point cloud information protection. Neural Networks 172 (2024)
Hongsong Wen, Xing He, Tingwen Huang, Junzhi Yu
Regularization. IEEE Trans. Syst. Man Cybern. Syst. 54 (1) (2024)
Hongsong Wen, Xing He, Jing Xu, Mingliang Zhou, Tingwen Huang
Fixed-time neural networks with time-invariant and time-varying coefficients for mixed variational inequalities. Inf. Sci. 659 (2024)
You Zhao, Xing He, Mingliang Zhou, Tingwen Huang
Accelerated Primal-Dual Projection Neurodynamic Approach With Time Scaling for Linear and Set Constrained Convex Optimization Problems. IEEE CAA J. Autom. Sinica 11 (6) (2024)
Jing Xu, Chuandong Li, Xing He, Xiaoyu Zhang
Projection neural networks with finite-time and fixed-time convergence for sparse signal reconstruction. Neural Comput. Appl. 36 (1) (2024)
Jing Xu, Chuandong Li, Xing He, Hongsong Wen
Impulsive Projection Neural Networks for Variational Inequalities and Sparse Signal Reconstruction Application. Cogn. Comput. 16 (3) (2024)
Wenqiang Yang, Junjian Huang, Xing He, Shiping Wen, Tingwen Huang
Finite-Time Synchronization of Neural Networks With Proportional Delays for RGB-D Image Protection. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Xin Han, Xing He, Xingxing Ju, Jiawei Chen
Unified Single-Layer Inverse-Free Neurodynamic Network for Solving Absolute Value Equations. IEEE Trans. Circuits Syst. II Express Briefs 71 (3) (2024)
Jing Xu, Chuandong Li, Xing He, Hongsong Wen, Xiaoyu Zhang
-minimization problem. Inf. Sci. 654 (2024)
Lihua Tan, Xin Wang, Chuandong Li, Xing He
Output Feedback-Based Consensus for Nonlinear Multiagent Systems: The Event-Triggered Communication Strategy. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Xin Han, Xing He, Mingliang Zhou, Tingwen Huang
Inverse-free distributed neurodynamic optimization algorithms for sparse reconstruction. Signal Process. 218 (2024)
Xingxing Ju, Chuandong Li, Xing He, Gang Feng
A Proximal Dynamic Approach to Equilibrium Problems With Finite-Time Convergence. IEEE Trans. Autom. Control. 69 (3) (2024)
Jinyue Yang, Junjian Huang, Xing He, Shiping Wen
Bipartite Synchronization of Signed Lur'e Network via Quantized Control. IEEE Trans. Circuits Syst. II Express Briefs 70 (7) (2023)
Xin Han, Xing He, Xingxing Ju
A distributed neurodynamic algorithm for sparse signal reconstruction via ℓ1-minimization. Neurocomputing 550 (2023)
You Zhao, Xiaofeng Liao, Xing He
Distributed Inertial Continuous and Discrete Time Algorithms for Solving Resource Allocation Problem. IEEE Trans. Netw. Sci. Eng. 10 (6) (2023)
Xingxing Ju, Chuandong Li, Hangjun Che, Xing He, Gang Feng
A Proximal Neurodynamic Network With Fixed-Time Convergence for Equilibrium Problems and Its Applications. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Hongsong Wen, Xing He
Arbitrary-Time Stable Gradient Flows Using Neurodynamic System for Continuous-Time Optimization. IEEE Trans. Circuits Syst. II Express Briefs 70 (12) (2023)
Jiahao Zhang, Xing He, Gui Zhao, Tingwen Huang
FPGA Implementation for Finite-Time and Fixed-Time Neurodynamic Algorithms in Constrained Optimization Problems. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (9) (2023)
You Zhao, Xiaofeng Liao, Xing He
Distributed Smoothing Projection Neurodynamic Approaches for Constrained Nonsmooth Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53 (2) (2023)
Yiyue Zhu, Xing He
A Sparse Recovery Algorithm Using the Neurodynamic System With Predefined Time Convergence. IEEE Trans. Circuits Syst. II Express Briefs 70 (8) (2023)
You Zhao, Xiaofeng Liao, Xing He
Accelerated Projection Algorithm Based on Smoothing Approximation for Distributed Nonsmooth Optimization. IEEE Trans. Control. Netw. Syst. 10 (4) (2023)
You Zhao, Xiaofeng Liao, Xing He
Fixed-Time Stable Neurodynamic Flow to Sparse Signal Recovery via Nonconvex L1-β2-Norm. Neural Comput. 34 (8) (2022)
Xingxing Ju, Dengzhou Hu, Chuandong Li, Xing He, Gang Feng
A Novel Fixed-Time Converging Neurodynamic Approach to Mixed Variational Inequalities and Applications. IEEE Trans. Cybern. 52 (12) (2022)
You Zhao, Xiaofeng Liao, Xing He, Rongqiang Tang
Centralized and Collective Neurodynamic Optimization Approaches for Sparse Signal Reconstruction via L₁-Minimization. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Dengzhou Hu, Xing He, Xingxing Ju
A modified projection neural network with fixed-time convergence. Neurocomputing 489 (2022)
Xingxing Ju, Chuandong Li, Xin Han, Xing He
Neurodynamic Network for Absolute Value Equations: A Fixed-Time Convergence Technique. IEEE Trans. Circuits Syst. II Express Briefs 69 (3) (2022)
Junpeng Xu, Xing He, Xin Han, Hongsong Wen
-Minimization. IEEE Trans. Circuits Syst. II Express Briefs 69 (8) (2022)
Shifan Wen, Xing He
A Neurodynamic Algorithm for Energy Scheduling Game in Microgrid Distribution Networks. Neural Process. Lett. 54 (1) (2022)
Xing He, Hongsong Wen, Tingwen Huang
A Fixed-Time Projection Neural Network for Solving L₁-Minimization Problem. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Lieqin Jiang, Xing He
minimization. Circuits Syst. Signal Process. 41 (11) (2022)
You Zhao, Xiaofeng Liao, Xing He
Distributed Continuous and Discrete Time Projection Neurodynamic Approaches for Sparse Recovery. IEEE Trans. Emerg. Top. Comput. Intell. 6 (6) (2022)
Hongsong Wen, Xing He, Tingwen Huang
Sparse signal reconstruction via recurrent neural networks with hyperbolic tangent function. Neural Networks 153 (2022)
Xingxing Ju, Hangjun Che, Chuandong Li, Xing He
Solving Mixed Variational Inequalities Via a Proximal Neurodynamic Network with Applications. Neural Process. Lett. 54 (1) (2022)
Boyu Wei, Xing He
A finite-time projection neural network to solve the joint optimal dispatching problem of CHP and wind power. Neural Comput. Appl. 34 (10) (2022)
You Zhao, Xiaofeng Liao, Xing He
Novel projection neurodynamic approaches for constrained convex optimization. Neural Networks 150 (2022)
Xingxing Ju, Chuandong Li, Xing He, Gang Feng
A proximal neurodynamic model for solving inverse mixed variational inequalities. Neural Networks 138 (2021)
You Zhao, Xiaofeng Liao, Xing He, Rongqiang Tang, Weiwei Deng
Smoothing inertial neurodynamic approach for sparse signal reconstruction via Lp-norm minimization. Neural Networks 140 (2021)
Shuang He, Xing He, Tingwen Huang
A continuous-time consensus algorithm using neurodynamic system for distributed time-varying optimization with inequality constraints. J. Frankl. Inst. 358 (13) (2021)
Xingxing Ju, Hangjun Che, Chuandong Li, Xing He, Gang Feng
Exponential convergence of a proximal projection neural network for mixed variational inequalities and applications. Neurocomputing 454 (2021)
Chentao Xu, Xing He
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 8 (7) (2021)
Shengzhan He, Junjian Huang, Xing He
Collective Neurodynamic Optimization for Image Segmentation by Binary Model with Constraints. Cogn. Comput. 12 (6) (2020)
Hongsong Wen, Hui Wang, Xing He
A Neurodynamic Algorithm for Sparse Signal Reconstruction with Finite-Time Convergence. Circuits Syst. Signal Process. 39 (12) (2020)
Xun Zong, Hui Wang, Xing He
A neurodynamic algorithm to optimize residential demand response problem of plug-in electric vehicle. Neurocomputing 405 (2020)
Tingwen Huang, Chaojie Li, Shiping Wen, Xing He, Guanghui Wen
Special issue: Theoretical analysis of deep learning editorial. Neurocomputing 416 (2020)
Xingxing Ju, Chuandong Li, Xing He, Gang Feng
An inertial projection neural network for solving inverse variational inequalities. Neurocomputing 406 (2020)
Shifan Wen, Xing He, Tingwen Huang
Distributed Neuro-Dynamic Algorithm for Price-Based Game in Energy Consumption System. Neural Process. Lett. 51 (1) (2020)
Yushu Zhang, Ping Wang, Liming Fang, Xing He, Hao Han, Bing Chen
Secure Transmission of Compressed Sampling Data Using Edge Clouds. IEEE Trans. Ind. Informatics 16 (10) (2020)
Xing He, You Zhao, Tingwen Huang
Optimizing the Dynamic Economic Dispatch Problem by the Distributed Consensus-Based ADMM Approach. IEEE Trans. Ind. Informatics 16 (5) (2020)
Chentao Xu, Xing He, Tingwen Huang, Junjian Huang
A combined neurodynamic approach to optimize the real-time price-based demand response management problem using mixed zero-one programming. Neural Comput. Appl. 32 (13) (2020)
Xing He, Junzhi Yu, Tingwen Huang, Chuandong Li, Chaojie Li
Average Quasi-Consensus Algorithm for Distributed Constrained Optimization: Impulsive Communication Framework. IEEE Trans. Cybern. 50 (1) (2020)
You Zhao, Xing He, Tingwen Huang, Junjian Huang, Peng Li
A smoothing neural network for minimization l1-lp in sparse signal reconstruction with measurement noises. Neural Networks 122 (2020)
Huiwei Wang, Chaojie Li, Jueyou Li, Xing He, Tingwen Huang
A survey on distributed optimisation approaches and applications in smart grids. J. Control. Decis. 6 (1) (2019)
Chunliang Gou, Xing He, Junjian Huang
A Hybrid Neurodynamic Algorithm to Multi-objective Operation Management in Microgrid. ISNN (1) (2019)
Xiangguang Dai, Chuandong Li, Xing He, Chaojie Li
Nonnegative matrix factorization algorithms based on the inertial projection neural network. Neural Comput. Appl. 31 (8) (2019)
Xing He, Tingwen Huang, Junzhi Yu, Chaojie Li, Yushu Zhang
A Continuous-Time Algorithm for Distributed Optimization Based on Multiagent Networks. IEEE Trans. Syst. Man Cybern. Syst. 49 (12) (2019)
Xiaowei Liang, Xing He, Tingwen Huang
Distributed Neuro-Dynamic Optimization for Multi-Objective Power Management Problem in Micro-Grid. Neurocomputing 362 (2019)
Tiancai Wang, Xing He, Ting Deng
Neural networks for power management optimal strategy in hybrid microgrid. Neural Comput. Appl. 31 (7) (2019)
Xinxin Fang, Xing He, Junjian Huang
A strategy to optimize the multi-energy system in microgrid based on neurodynamic algorithm. Appl. Soft Comput. 75 (2019)
Xing He, Junzhi Yu, Tingwen Huang, Chaojie Li
Distributed Power Management for Dynamic Economic Dispatch in the Multimicrogrids Environment. IEEE Trans. Control. Syst. Technol. 27 (4) (2019)
Xiangli Xiao, Junjian Huang, Yushu Zhang, Xing He
Efficient and Secure Outsourcing of DFT, IDFT, and Circular Convolution. IEEE Access 7 (2019)
Xing He, Xinxin Fang, Junzhi Yu
Distributed Energy Management Strategy for Reaching Cost-Driven Optimal Operation Integrated With Wind Forecasting in Multimicrogrids System. IEEE Trans. Syst. Man Cybern. Syst. 49 (8) (2019)
You Zhao, Xing He, Yao Yao, Junjian Huang
Plug-in electric vehicle charging management via a distributed neurodynamic algorithm. Appl. Soft Comput. 80 (2019)
Ping Wang, Xing He, Yushu Zhang, Wenying Wen, Ming Li
A robust and secure image sharing scheme with personal identity information embedded. Comput. Secur. 85 (2019)
Yao Yao, Xing He, Tingwen Huang, Chaojie Li, Dawen Xia
A projection neural network for optimal demand response in smart grid environment. Neural Comput. Appl. 29 (6) (2018)
Xing He, Daniel W. C. Ho, Tingwen Huang, Junzhi Yu, Haitham Abu-Rub, Chaojie Li
Second-Order Continuous-Time Algorithms for Economic Power Dispatch in Smart Grids. IEEE Trans. Syst. Man Cybern. Syst. 48 (9) (2018)
You Zhao, Xing He, Tingwen Huang, Qi Han
Analog circuits for solving a class of variational inequality problems. Neurocomputing 295 (2018)
Hui Huang, Xing He, Yong Xiang, Wenying Wen, Yushu Zhang
A compression-diffusion-permutation strategy for securing image. Signal Process. 150 (2018)
Xing He, Junjian Huang, Chaojie Li
Neural network with added inertia for linear complementarity problem. ICARCV (2018)
Chaojie Li, Xinghuo Yu, Tingwen Huang, Xing He
Distributed Optimal Consensus Over Resource Allocation Network and Its Application to Dynamical Economic Dispatch. IEEE Trans. Neural Networks Learn. Syst. 29 (6) (2018)
Lijuan Zhu, Jianjun Wang, Xing He, You Zhao
An inertial projection neural network for sparse signal reconstruction via l1-2 minimization. Neurocomputing 315 (2018)
Ting Deng, Xing He, Zhigang Zeng
Recurrent neural network for combined economic and emission dispatch. Appl. Intell. 48 (8) (2018)
Wei Zhang, Jiangtao Qi, Xing He
Input-to-state stability of impulsive inertial memristive neural networks with time-varying delayed. J. Frankl. Inst. 355 (17) (2018)
You Zhao, Xing He, Tingwen Huang, Junjian Huang
Smoothing inertial projection neural network for minimization Lp-q in sparse signal reconstruction. Neural Networks 99 (2018)
Miao Sun, Xing He, Tiancai Wang, Jie Tan, Dawen Xia
Circuit implementation of digitally programmable transconductance amplifier in analog simulation of reaction-diffusion neural model. Neurocomputing 227 (2017)
Chaojie Li, Chen Liu, Xinghuo Yu, Xing He, Huiwei Wang
Distributed consensus based optimization in dynamical economic dispatch. ICACI (2017)
Zican Zhang, Chuandong Li, Xing He, Tingwen Huang
A Discrete-Time Projection Neural Network for Solving Degenerate Convex Quadratic Optimization. Circuits Syst. Signal Process. 36 (1) (2017)
You Zhao, Xing He, Ling Chen
A distributed strategy based on ADMM for dynamic economic dispatch problems considering environmental cost function with exponential term. IECON (2017)
Xing He, Tingwen Huang, Junzhi Yu, Chuandong Li, Chaojie Li
An Inertial Projection Neural Network for Solving Variational Inequalities. IEEE Trans. Cybern. 47 (3) (2017)
Po Wu, Chuandong Li, Xing He, Tingwen Huang
A Memristor-Based Lorenz Circuit and Its Stabilization via Variable-Time Impulsive Control. Int. J. Bifurc. Chaos 27 (3) (2017)
Tiancai Wang, Xing He, Tingwen Huang, Chuandong Li, Wei Zhang
Collective neurodynamic optimization for economic emission dispatch problem considering valve point effect in microgrid. Neural Networks 93 (2017)
Yushu Zhang, Hui Huang, Yong Xiang, Leo Yu Zhang, Xing He
Harnessing the Hybrid Cloud for Secure Big Image Data Service. IEEE Internet Things J. 4 (5) (2017)
Yushu Zhang, Wenying Wen, Yongfei Wu, Rui Zhang, Jun-Xin Chen, Xing He
Deciphering an RGB color image cryptosystem based on Choquet fuzzy integral. Neural Comput. Appl. 28 (1) (2017)
Wei Zhang, Tingwen Huang, Xing He, Chuandong Li
Global exponential stability of inertial memristor-based neural networks with time-varying delays and impulses. Neural Networks 95 (2017)
Yushu Zhang, Jiantao Zhou, Fei Chen, Leo Yu Zhang, Kwok-Wo Wong, Xing He, Di Xiao
Embedding cryptographic features in compressive sensing. Neurocomputing 205 (2016)
Yushu Zhang, Leo Yu Zhang, Jiantao Zhou, Licheng Liu, Fei Chen, Xing He
A Review of Compressive Sensing in Information Security Field. IEEE Access 4 (2016)
Tiancai Wang, Xing He, Tingwen Huang
Complex dynamical behavior of neural networks in circuit implementation. Neurocomputing 190 (2016)
Chaojie Li, Xinghuo Yu, Tingwen Huang, Guo Chen, Xing He
A Generalized Hopfield Network for Nonsmooth Constrained Convex Optimization: Lie Derivative Approach. IEEE Trans. Neural Networks Learn. Syst. 27 (2) (2016)
Jing Xu, Chuandong Li, Xing He, Tingwen Huang
Recurrent neural network for solving model predictive control problem in application of four-tank benchmark. Neurocomputing 190 (2016)
Hangjun Che, Chuandong Li, Xing He, Tingwen Huang
A recurrent neural network for adaptive beamforming and array correction. Neural Networks 80 (2016)
Zao Fu, Xing He, Tingwen Huang, Haitham Abu-Rub
A distributed continuous time consensus algorithm for maximize social welfare in micro grid. J. Frankl. Inst. 353 (15) (2016)
Xu Zeng, Chuandong Li, Tingwen Huang, Xing He
Stability analysis of complex-valued impulsive systems with time delay. Appl. Math. Comput. 256 (2015)
Hangjun Che, Chuandong Li, Xing He, Tingwen Huang
An intelligent method of swarm neural networks for equalities-constrained nonconvex optimization. Neurocomputing 167 (2015)
Yushu Zhang, Kwok-Wo Wong, Leo Yu Zhang, Wenying Wen, Jiantao Zhou, Xing He
Robust coding of encrypted images via structural matrix. Signal Process. Image Commun. 39 (2015)
Wei Zhang, Chuandong Li, Tingwen Huang, Xing He
Synchronization of Memristor-Based Coupling Recurrent Neural Networks With Time-Varying Delays and Impulses. IEEE Trans. Neural Networks Learn. Syst. 26 (12) (2015)
Xing He, Tingwen Huang, Chuandong Li, Hangjun Che, Zhaoyang Dong
A recurrent neural network for optimal real-time price in smart grid. Neurocomputing 149 (2015)
Chuandong Li, Tingwen Huang, Zhigang Zeng, He Huang, Xing He
Special Issue on ICONIP 2012. Cogn. Comput. 6 (3) (2014)
Xing He, Chuandong Li, Tingwen Huang, Chaojie Li, Junjian Huang
A Recurrent Neural Network for Solving Bilevel Linear Programming Problem. IEEE Trans. Neural Networks Learn. Syst. 25 (4) (2014)

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Publication Activity (10 Years)

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Xing He