An inertial projection neural network for solving inverse variational inequalities. - Xingxing Ju; Chuandong Li 001; Xing He 001; Gang Feng 001 (Neurocomputing, 2020)

Exponential convergence of a proximal projection neural network for mixed variational inequalities and applications. - Xingxing Ju; Hangjun Che; Chuandong Li 001; Xing He 001; Gang Feng 001 (Neurocomputing, 2021)

A proximal neurodynamic model for solving inverse mixed variational inequalities. - Xingxing Ju; Chuandong Li 001; Xing He 001; Gang Feng 001 (Neural Networks, 2021)

A modified projection neural network with fixed-time convergence. - Dengzhou Hu; Xing He 001; Xingxing Ju (Neurocomputing, 2022)

Fixed-time stability of projection neurodynamic network for solving pseudomonotone variational inequalities. - Jinlan Zheng; Jiawei Chen; Xingxing Ju (Neurocomputing, 2022)

Solving Mixed Variational Inequalities Via a Proximal Neurodynamic Network with Applications. - Xingxing Ju; Hangjun Che; Chuandong Li 001; Xing He 001 (Neural Process. Lett., 2022)

Neurodynamic Network for Absolute Value Equations: A Fixed-Time Convergence Technique. - Xingxing Ju; Chuandong Li 001; Xin Han; Xing He 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

A Novel Fixed-Time Converging Neurodynamic Approach to Mixed Variational Inequalities and Applications. - Xingxing Ju; Dengzhou Hu; Chuandong Li 001; Xing He 001; Gang Feng 001 (IEEE Trans. Cybern., 2022)

A distributed neurodynamic algorithm for sparse signal reconstruction via ℓ1-minimization. - Xin Han; Xing He 001; Xingxing Ju (Neurocomputing, 2023)

Neurodynamic optimization approaches with finite/fixed-time convergence for absolute value equations. - Xingxing Ju; Xinsong Yang; Gang Feng 001; Hangjun Che (Neural Networks, 2023)

A Proximal Neurodynamic Network With Fixed-Time Convergence for Equilibrium Problems and Its Applications. - Xingxing Ju; Chuandong Li 001; Hangjun Che; Xing He 001; Gang Feng 001 (IEEE Trans. Neural Networks Learn. Syst., 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, 2023)

Circuit Implementation of Fixed-Time Zeroing Neural Network for Time-Varying Equality Constrained Quadratic Programming. - Ruiqi Zhou; Xingxing Ju; Hangjun Che; Qian Zhang (ISNN, 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)

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)

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)

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 Proximal Dynamic Approach to Equilibrium Problems With Finite-Time Convergence. - Xingxing Ju; Chuandong Li 001; Xing He 001; Gang Feng 001 (IEEE Trans. Autom. Control., 2024)

Unified Single-Layer Inverse-Free Neurodynamic Network for Solving Absolute Value Equations. - Xin Han; Xing He 001; Xingxing Ju; Jiawei Chen (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Fixed-Time Neurodynamic Optimization Algorithms and Application to Circuits Design. - Xingxing Ju; Shuang Yuan; Xinsong Yang; Peng Shi 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

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)

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)

A neurodynamic approach with fixed-time convergence for complex-variable pseudo-monotone variational inequalities. - Jinlan Zheng; Xingxing Ju; Naimin Zhang; Dongpo Xu (Neurocomputing, 2025)

Distributed Neurodynamic Models for Solving a Class of System of Nonlinear Equations. - Xin Han; Xing He 001; Xingxing Ju; Hangjun Che; Tingwen Huang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Two Novel Noise-Suppression Projection Neural Networks With Fixed-Time Convergence for Variational Inequalities and Applications. - Xinsong Yang; Xingxing Ju; Peng Shi 001; Guanghui Wen (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Noise-Tolerant Proximal Neurodynamic Algorithm for Solving MVIPs in Fixed-Time With Circuit Implementations and Applications. - Shan Jiang; Ben Niu 003; Xingxing Ju; Hongyu Ma (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)

Attack-Resilient Distributed Fixed-Time Consensus Control for HBESSs and Circuit Implementation. - Ruiqi Zhou; Xingxing Ju; Ben Niu 003; Yanli Zou (IEEE Trans. Smart Grid, 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 001; Xing He 001; Hongsong Wen; Xingxing Ju (IEEE Trans. Neural Networks Learn. Syst., 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 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)