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2020 – today
- 2024
[j19]Ruiqi Zhou
, Xingxing Ju, Qing Wang, Shan Jiang:
Inverse-Free Neurodynamic Approach With Self-Adaptive Gain for Time-Varying Quadratic Programming and Applications. IEEE Control. Syst. Lett. 8: 2157-2162 (2024)- [j18]Xingxing Ju, Xinsong Yang, Linbo Qing, Jinde Cao, Dianwei Wang:
Time-varying neurodynamic optimization approaches with fixed-time convergence for sparse signal reconstruction. Neurocomputing 597: 128031 (2024) - [j17]Jinlan Zheng, Xingxing Ju, Naimin Zhang, Dongpo Xu:
A novel predefined-time neurodynamic approach for mixed variational inequality problems and applications. Neural Networks 174: 106247 (2024) - [j16]Xiangping Li, Xinsong Yang, Xingxing Ju:
A novel fractional-order memristive Hopfield neural network for traveling salesman problem and its FPGA implementation. Neural Networks 179: 106548 (2024) - [j15]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): 1773-1780 (2024) - [j14]Xingxing Ju, Shuang Yuan, Xinsong Yang, Peng Shi:
Fixed-Time Neurodynamic Optimization Algorithms and Application to Circuits Design. IEEE Trans. Circuits Syst. I Regul. Pap. 71(5): 2171-2181 (2024) - [j13]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): 1166-1170 (2024) - [c1]Ruiqi Zhou, Xingxing Ju, Hangjun Che, Qian Zhang:
Circuit Implementation of Fixed-Time Zeroing Neural Network for Time-Varying Equality Constrained Quadratic Programming. ISNN 2024: 361-371 - 2023
- [j12]Xin Han, Xing He, Xingxing Ju:
A distributed neurodynamic algorithm for sparse signal reconstruction via ℓ1-minimization. Neurocomputing 550: 126480 (2023) - [j11]Xingxing Ju, Xinsong Yang, Gang Feng, Hangjun Che:
Neurodynamic optimization approaches with finite/fixed-time convergence for absolute value equations. Neural Networks 165: 971-981 (2023) - [j10]Xingxing Ju, Xinsong Yang, Rongqiang Tang, Jinde Cao:
A Fixed-Time Noise-Tolerance Neurodynamic Approach for Inverse Variational Inequalities. IEEE Trans. Circuits Syst. II Express Briefs 70(12): 4444-4448 (2023) - [j9]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): 7500-7514 (2023) - 2022
- [j8]Dengzhou Hu, Xing He, Xingxing Ju:
A modified projection neural network with fixed-time convergence. Neurocomputing 489: 90-97 (2022) - [j7]Jinlan Zheng, Jiawei Chen, Xingxing Ju:
Fixed-time stability of projection neurodynamic network for solving pseudomonotone variational inequalities. Neurocomputing 505: 402-412 (2022) - [j6]Xingxing Ju, Hangjun Che, Chuandong Li, Xing He:
Solving Mixed Variational Inequalities Via a Proximal Neurodynamic Network with Applications. Neural Process. Lett. 54(1): 207-226 (2022) - [j5]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): 1807-1811 (2022) - [j4]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): 12942-12953 (2022) - 2021
- [j3]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: 54-64 (2021) - [j2]Xingxing Ju, Chuandong Li, Xing He, Gang Feng:
A proximal neurodynamic model for solving inverse mixed variational inequalities. Neural Networks 138: 1-9 (2021) - 2020
- [j1]Xingxing Ju, Chuandong Li, Xing He, Gang Feng:
An inertial projection neural network for solving inverse variational inequalities. Neurocomputing 406: 99-105 (2020)
Coauthor Index
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