Xingxing Ju

According to our database, Xingxing Ju authored at least 29 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Time-Varying Momentum-Like Neurodynamic Optimization Approaches With Fixed-Time Convergence for Nash Equilibrium Seeking in Noncooperative Games.

Xingxing Ju, Xinsong Yang, Chuandong Li

IEEE Trans. Syst. Man Cybern. Syst., June, 2025

A Fixed-Time Proximal Gradient Neurodynamic Network With Time-Varying Coefficients for Composite Optimization Problems and Sparse Optimization Problems With Log-Sum Function.

Jing Xu, Chuandong Li, Xing He, Hongsong Wen, Xingxing Ju

IEEE Trans. Neural Networks Learn. Syst., May, 2025

Attack-Resilient Distributed Fixed-Time Consensus Control for HBESSs and Circuit Implementation.

Ruiqi Zhou, Xingxing Ju, Ben Niu, Yanli Zou

IEEE Trans. Smart Grid, March, 2025

A Noise-Tolerant Proximal Neurodynamic Algorithm for Solving MVIPs in Fixed-Time With Circuit Implementations and Applications.

Shan Jiang, Ben Niu, Xingxing Ju, Hongyu Ma

IEEE Trans. Circuits Syst. I Regul. Pap., March, 2025

Two Novel Noise-Suppression Projection Neural Networks With Fixed-Time Convergence for Variational Inequalities and Applications.

Xinsong Yang, Xingxing Ju, Peng Shi, Guanghui Wen

IEEE Trans. Neural Networks Learn. Syst., January, 2025

Distributed Neurodynamic Models for Solving a Class of System of Nonlinear Equations.

Xin Han, Xing He, Xingxing Ju, Hangjun Che, Tingwen Huang

IEEE Trans. Neural Networks Learn. Syst., January, 2025

A neurodynamic approach with fixed-time convergence for complex-variable pseudo-monotone variational inequalities.

Jinlan Zheng, Xingxing Ju, Naimin Zhang, Dongpo Xu

Neurocomputing, 2025

Neurodynamic optimization algorithm for split equality problems and application to sparse signal recovery.

Binghao Ouyang, Yong Wang, Xingxing Ju, Weichuang Yu

Commun. Nonlinear Sci. Numer. Simul., 2025

Fixed-time neurodynamic optimization approach with time-varying coefficients to variational inequality problems and applications.

Xingxing Ju, Xinsong Yang, Shuang Yuan, Daniel W. C. Ho

Commun. Nonlinear Sci. Numer. Simul., 2025

2024

Fixed-Time Neurodynamic Optimization Algorithms and Application to Circuits Design.

Xingxing Ju, Shuang Yuan, Xinsong Yang, Peng Shi

IEEE Trans. Circuits Syst. I Regul. Pap., May, 2024

Unified Single-Layer Inverse-Free Neurodynamic Network for Solving Absolute Value Equations.

Xin Han, Xing He, Xingxing Ju, Jiawei Chen

IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

A Proximal Dynamic Approach to Equilibrium Problems With Finite-Time Convergence.

Xingxing Ju, Chuandong Li, Xing He, Gang Feng

IEEE Trans. Autom. Control., March, 2024

A novel predefined-time neurodynamic approach for mixed variational inequality problems and applications.

Jinlan Zheng, Xingxing Ju, Naimin Zhang, Dongpo Xu

Neural Networks, 2024

A novel fractional-order memristive Hopfield neural network for traveling salesman problem and its FPGA implementation.

Xiangping Li, Xinsong Yang, Xingxing Ju

Neural Networks, 2024

Time-varying neurodynamic optimization approaches with fixed-time convergence for sparse signal reconstruction.

Xingxing Ju, Xinsong Yang, Linbo Qing, Jinde Cao, Dianwei Wang

Neurocomputing, 2024

Inverse-Free Neurodynamic Approach With Self-Adaptive Gain for Time-Varying Quadratic Programming and Applications.

Ruiqi Zhou, Xingxing Ju, Qing Wang, Shan Jiang

IEEE Control. Syst. Lett., 2024

Circuit Implementation of Fixed-Time Zeroing Neural Network for Time-Varying Equality Constrained Quadratic Programming.

Ruiqi Zhou, Xingxing Ju, Hangjun Che, Qian Zhang

Proceedings of the Advances in Neural Networks - ISNN 2024, 2024

2023

A Fixed-Time Noise-Tolerance Neurodynamic Approach for Inverse Variational Inequalities.

Xingxing Ju, Xinsong Yang, Rongqiang Tang, Jinde Cao

IEEE Trans. Circuits Syst. II Express Briefs, December, 2023

A Proximal Neurodynamic Network With Fixed-Time Convergence for Equilibrium Problems and Its Applications.

Xingxing Ju, Chuandong Li, Hangjun Che, Xing He, Gang Feng

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Neurodynamic optimization approaches with finite/fixed-time convergence for absolute value equations.

Xingxing Ju, Xinsong Yang, Gang Feng, Hangjun Che

Neural Networks, August, 2023

A distributed neurodynamic algorithm for sparse signal reconstruction via ℓ1-minimization.

Xin Han, Xing He, Xingxing Ju

Neurocomputing, 2023

2022

A Novel Fixed-Time Converging Neurodynamic Approach to Mixed Variational Inequalities and Applications.

Xingxing Ju, Dengzhou Hu, Chuandong Li, Xing He, Gang Feng

IEEE Trans. Cybern., 2022

Neurodynamic Network for Absolute Value Equations: A Fixed-Time Convergence Technique.

Xingxing Ju, Chuandong Li, Xin Han, Xing He

IEEE Trans. Circuits Syst. II Express Briefs, 2022

Solving Mixed Variational Inequalities Via a Proximal Neurodynamic Network with Applications.

Xingxing Ju, Hangjun Che, Chuandong Li, Xing He

Neural Process. Lett., 2022

Fixed-time stability of projection neurodynamic network for solving pseudomonotone variational inequalities.

Jinlan Zheng, Jiawei Chen, Xingxing Ju

Neurocomputing, 2022

A modified projection neural network with fixed-time convergence.

Dengzhou Hu, Xing He, Xingxing Ju

Neurocomputing, 2022

2021

A proximal neurodynamic model for solving inverse mixed variational inequalities.

Xingxing Ju, Chuandong Li, Xing He, Gang Feng

Neural Networks, 2021

Exponential convergence of a proximal projection neural network for mixed variational inequalities and applications.

Xingxing Ju, Hangjun Che, Chuandong Li, Xing He, Gang Feng

Neurocomputing, 2021

2020

An inertial projection neural network for solving inverse variational inequalities.

Xingxing Ju, Chuandong Li, Xing He, Gang Feng

Neurocomputing, 2020