A Variable Parameter Zeroing Neural Network for Resolving Time-Variant Quadratic Minimization with Preferable Performance. - Yongjun He 001; Qian Yi; Bolin Liao; Lei Ding 007; Lin Xiao 002; Pei Liu (ICACI, 2020)

Improved finite-time zeroing neural networks for time-varying complex Sylvester equation solving. - Lin Xiao 002; Qian Yi; Qiuyue Zuo; Yongjun He 001 (Math. Comput. Simul., 2020)

An accelerated ZNN-based algorithm with piecewise time-varying parameters to solve time-variant linear equations. - Lin Xiao 002; Yongjun He 001; Bolin Liao; Jianhua Dai (J. Comput. Appl. Math., 2021)

A Noise-Suppression ZNN Model With New Variable Parameter for Dynamic Sylvester Equation. - Lin Xiao 002; Yongjun He 001 (IEEE Trans. Ind. Informatics, 2021)

A Parameter-Changing and Complex-Valued Zeroing Neural-Network for Finding Solution of Time-Varying Complex Linear Matrix Equations in Finite Time. - Lin Xiao 002; Juan Tao; Jianhua Dai; Yaonan Wang 001; Lei Jia; Yongjun He 001 (IEEE Trans. Ind. Informatics, 2021)

A variable-parameter ZNN with predefined-time convergence for dynamic complex-valued Lyapunov equation and its application to AOA positioning. - Yongjun He 001; Lin Xiao 002; Fuchun Sun 001; Yaonan Wang 001 (Appl. Soft Comput., 2022)

A parameter-changing zeroing neural network for solving linear equations with superior fixed-time convergence. - Lin Xiao 002; Yongjun He 001; Bolin Liao (Expert Syst. Appl., 2022)

A novel ZNN model for fast synchronisation of chaos systems with external disturbances. - Lin Xiao 002; Ping Liu; Yongjun He 001; Lei Jia; Juan Tao (Neurocomputing, 2022)

A fuzzy adaptive zeroing neural network with superior finite-time convergence for solving time-variant linear matrix equations. - Jianhua Dai; Ping Tan; Xing Yang; Lin Xiao 002; Lei Jia; Yongjun He 001 (Knowl. Based Syst., 2022)

Design and Analysis of a Hybrid GNN-ZNN Model With a Fuzzy Adaptive Factor for Matrix Inversion. - Jianhua Dai; Yuanmeng Chen; Lin Xiao 002; Lei Jia; Yongjun He 001 (IEEE Trans. Ind. Informatics, 2022)

Zeroing Neural Networks for Dynamic Quaternion-Valued Matrix Inversion. - Lin Xiao 002; Sai Liu; Xin Wang 028; Yongjun He 001; Lei Jia; Yang Xu 013 (IEEE Trans. Ind. Informatics, 2022)

A Variable-Parameter Noise-Tolerant Zeroing Neural Network for Time-Variant Matrix Inversion With Guaranteed Robustness. - Lin Xiao 002; Yongjun He 001; Jianhua Dai; Xinwang Liu 002; Bolin Liao; Haiyan Tan (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Segmented Variable-Parameter ZNN for Dynamic Quadratic Minimization With Improved Convergence and Robustness. - Lin Xiao 002; Yongjun He 001; Yaonan Wang 001; Jianhua Dai; Ran Wang 001; Wensheng Tang (IEEE Trans. Neural Networks Learn. Syst., 2023)

Design and Analysis of Two Nonlinear ZNN Models for Matrix LR and QR Factorization With Application to 3-D Moving Target Location. - Lin Xiao 002; Yongjun He 001; Yiwei Li 006; Jianhua Dai (IEEE Trans. Ind. Informatics, 2023)

Prescribed-time robust ZNN models for solving equality and inequality systems. - Lin Xiao 002; Penglin Cao; Lei Jia; Yongjun He 001; Wentong Song (J. Frankl. Inst., 2023)

A ZNN-based sliding mode control strategy for solving synchronization problems of chaotic systems with application in memristor oscillator. - Lin Xiao 002; Yuanfang Zhang; Lei Jia; Yongjun He 001 (J. Frankl. Inst., 2023)

A Fuzzy Adaptive Zeroing Neural Network Model With Event-Triggered Control for Time-Varying Matrix Inversion. - Jianhua Dai; Ping Tan; Lin Xiao 002; Lei Jia; Yongjun He 001; Jiajie Luo (IEEE Trans. Fuzzy Syst., 2023)

Design and analysis of finite-time convergent complex-valued zeroing neural networks with application to time-variant complex matrix inversion. - Lin Xiao 002; Yunrui Xie; Qiuyue Zuo; Ping Tan; Ping Liu; Yongjun He 001 (Inf. Sci., 2024)

A Fixed-Time Robust Controller Based on Zeroing Neural Dynamics for Projective Synchronization of Offshore Wind Turbine Systems. - Linju Li; Lin Xiao 002; Yongjun He 001; Qiuyue Zuo (IEEE Trans. Ind. Informatics, 2024)

Predefined-Time Noise Immunity ZNN Model for Dynamic Quaternion Least Squares Problem and Application to Synchronization of Hyperchaotic Systems. - Lin Xiao 002; Penglin Cao; Yongjun He 001; Liu Luo; Linju Li (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Comprehensive Study on Zeroing Neural Network With High-Order Evolutionary Formula, Nonlinear Functions, and Variable Parameter for Time-Changing Matrix Cholesky Decomposition. - Lin Xiao 002; Sida Xiao; Yongjun He 001; Jianhua Dai; Yaonan Wang 001; Yiwei Li 006 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A Variable-Gain Fixed-Time Convergent and Robust ZNN Model for Image Fusion: Design, Analysis, and Verification. - Lin Xiao 002; Xiangru Yan; Yongjun He 001; Penglin Cao (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Predefined-Time Zeroing Neural Networks With Independent Prior Parameter for Solving Time-Varying Plural Lyapunov Tensor Equation. - Zhaohui Qi; Yingqiang Ning; Lin Xiao 002; Yongjun He 001; Jiajie Luo; Biao Luo 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Dynamic-Varying Parameter Enhanced ZNN Model for Solving Time-Varying Complex-Valued Tensor Inversion With Its Application to Image Encryption. - Lin Xiao 002; Xiaopeng Li; Penglin Cao; Yongjun He 001; Wensheng Tang; Jichun Li 002; Yaonan Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Fixed-Time Robust ZNN Model With Adaptive Parameters for Redundancy Resolution of Manipulators. - Mengrui Cao; Lin Xiao 002; Qiuyue Zuo; Ping Tan; Yongjun He 001; Xieping Gao (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A Fuzzy Neural Network Approach to Adaptive Robust Nonsingular Sliding Mode Control for Predefined-Time Tracking of a Quadrotor. - Yongjun He 001; Lin Xiao 002; Zidong Wang 001; Qiuyue Zuo; Linju Li (IEEE Trans. Fuzzy Syst., 2024)

A Dynamic Gain Fixed-Time Robust ZNN Model for Time-Variant Equality Constrained Quaternion Least Squares Problem With Applications to Multiagent Systems. - Penglin Cao; Lin Xiao 002; Yongjun He 001; Jichun Li 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Efficient Predefined-Time Adaptive Neural Networks for Computing Time-Varying Tensor Moore-Penrose Inverse. - Zhaohui Qi; Yingqiang Ning; Lin Xiao 002; Zidong Wang 001; Yongjun He 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Predefined-Time Adaptive Zeroing Neural Network for Solving Time-Varying Linear Equations and Its Application to UR5 Robot. - Wensheng Tang; Hang Cai; Lin Xiao 002; Yongjun He 001; Linju Li; Qiuyue Zuo; Jichun Li 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Predefined-Time Robust Sliding Mode Control Based on Zeroing Neural Dynamics for Position and Attitude Tracking of Quadrotor. - Yongjun He 001; Lin Xiao 002; Qiuyue Zuo; Hang Cai; Yaonan Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Two ZNN-Based Unified SMC Schemes for Finite/Fixed/Preassigned-Time Synchronization of Chaotic Systems. - Yongjun He 001; Lin Xiao 002; Linju Li; Qiuyue Zuo; Yaonan Wang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Noise-tolerant fixed-time leader-follower consensus controller design for multi-agent systems via fuzzy-neural-network. - Jianhua Dai; Ping Tan; Lin Xiao 002; Zidong Wang 001; Yongjun He 001; Qiuyue Zuo (Neural Comput. Appl., 2025)

A Nonlinear Noise-Resistant Zeroing Neural Network Model for Solving Time-Varying Quaternion Generalized Lyapunov Equation and Applications to Color Image Processing. - Lin Xiao 002; Xiangru Yan; Yongjun He 001; Biao Luo 001; Qiya Song (IEEE Trans. Neural Networks Learn. Syst., 2025)