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ORCIDYongjun He 0001
Person information
- affiliation: Hunan Normal University, Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Changsha, China
- affiliation (): Jishou University, College of Information Science and Engineering, SChool of electronics and communication engineering, China
Other persons with the same name
- Yongjun He — disambiguation page
- Yongjun He 0002
![[0000-0002-5156-651X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5156-651X")
— Harbin University of Science and Technology, School of Computer Science and Technology, China (and 1 more) - Yongjun He 0003 — University of Western Ontario, Department of Geography and Environment, London, ON, Canada
- Yongjun He 0004 — ETH Zurich, Zürich, Switzerland
- Yongjun He 0005 — Guangdong Polytechnic of Science and Technology, Computer Engineering Technical College, Artificial Intelligence College, Zhuhai, China
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2020 – today
- 2025
[j34]Jianhua Dai, Ping Tan, Lin Xiao, Zidong Wang, Yongjun He, Qiuyue Zuo:
Noise-tolerant fixed-time leader-follower consensus controller design for multi-agent systems via fuzzy-neural-network. Neural Comput. Appl. 37(19): 13725-13747 (2025)- [j33]Yongjun He, Lin Xiao, Linju Li, Qiuyue Zuo, Yaonan Wang:
Two ZNN-Based Unified SMC Schemes for Finite/Fixed/Preassigned-Time Synchronization of Chaotic Systems. IEEE Trans. Emerg. Top. Comput. Intell. 9(3): 2108-2121 (2025) - [j32]Zhaohui Qi, Yingqiang Ning, Lin Xiao, Zidong Wang, Yongjun He:
Efficient Predefined-Time Adaptive Neural Networks for Computing Time-Varying Tensor Moore-Penrose Inverse. IEEE Trans. Neural Networks Learn. Syst. 36(2): 3659-3670 (2025) - [j31]Wensheng Tang, Hang Cai, Lin Xiao, Yongjun He, Linju Li, Qiuyue Zuo, Jichun Li:
A Predefined-Time Adaptive Zeroing Neural Network for Solving Time-Varying Linear Equations and Its Application to UR5 Robot. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4703-4712 (2025) - [j30]Lin Xiao, Xiangru Yan, Yongjun He, Biao Luo, Qiya Song:
A Nonlinear Noise-Resistant Zeroing Neural Network Model for Solving Time-Varying Quaternion Generalized Lyapunov Equation and Applications to Color Image Processing. IEEE Trans. Neural Networks Learn. Syst. 36(8): 14371-14383 (2025) - [j29]Yongjun He, Lin Xiao, Qiuyue Zuo, Hang Cai, Yaonan Wang:
A Predefined-Time Robust Sliding Mode Control Based on Zeroing Neural Dynamics for Position and Attitude Tracking of Quadrotor. IEEE Trans. Syst. Man Cybern. Syst. 55(4): 2438-2450 (2025) - 2024
- [j28]Lin Xiao, Yunrui Xie, Qiuyue Zuo, Ping Tan, Ping Liu, Yongjun He:
Design and analysis of finite-time convergent complex-valued zeroing neural networks with application to time-variant complex matrix inversion. Inf. Sci. 681: 121217 (2024) - [j27]Lin Xiao, Penglin Cao, Yongjun He, Liu Luo, Linju Li:
Predefined-Time Noise Immunity ZNN Model for Dynamic Quaternion Least Squares Problem and Application to Synchronization of Hyperchaotic Systems. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1416-1426 (2024) - [j26]Mengrui Cao, Lin Xiao, Qiuyue Zuo, Ping Tan, Yongjun He, Xieping Gao:
A Fixed-Time Robust ZNN Model With Adaptive Parameters for Redundancy Resolution of Manipulators. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 3886-3898 (2024) - [j25]Yongjun He, Lin Xiao, Zidong Wang, Qiuyue Zuo, Linju Li:
A Fuzzy Neural Network Approach to Adaptive Robust Nonsingular Sliding Mode Control for Predefined-Time Tracking of a Quadrotor. IEEE Trans. Fuzzy Syst. 32(12): 6775-6788 (2024) - [j24]Linju Li, Lin Xiao, Yongjun He, Qiuyue Zuo:
A Fixed-Time Robust Controller Based on Zeroing Neural Dynamics for Projective Synchronization of Offshore Wind Turbine Systems. IEEE Trans. Ind. Informatics 20(7): 9782-9792 (2024) - [j23]Zhaohui Qi, Yingqiang Ning, Lin Xiao, Yongjun He, Jiajie Luo, Biao Luo:
Predefined-Time Zeroing Neural Networks With Independent Prior Parameter for Solving Time-Varying Plural Lyapunov Tensor Equation. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9408-9416 (2024) - [j22]Lin Xiao, Xiaopeng Li, Penglin Cao, Yongjun He, Wensheng Tang, Jichun Li, Yaonan Wang:
A Dynamic-Varying Parameter Enhanced ZNN Model for Solving Time-Varying Complex-Valued Tensor Inversion With Its Application to Image Encryption. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13681-13690 (2024) - [j21]Penglin Cao, Lin Xiao, Yongjun He, Jichun Li:
A Dynamic Gain Fixed-Time Robust ZNN Model for Time-Variant Equality Constrained Quaternion Least Squares Problem With Applications to Multiagent Systems. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18394-18403 (2024) - [j20]Lin Xiao, Xiangru Yan, Yongjun He, Penglin Cao:
A Variable-Gain Fixed-Time Convergent and Robust ZNN Model for Image Fusion: Design, Analysis, and Verification. IEEE Trans. Syst. Man Cybern. Syst. 54(6): 3415-3426 (2024) - [j19]Lin Xiao, Sida Xiao, Yongjun He, Jianhua Dai, Yaonan Wang, Yiwei Li:
Comprehensive Study on Zeroing Neural Network With High-Order Evolutionary Formula, Nonlinear Functions, and Variable Parameter for Time-Changing Matrix Cholesky Decomposition. IEEE Trans. Syst. Man Cybern. Syst. 54(6): 3642-3651 (2024) - 2023
- [j18]Luyang Han, Yongjun He, Bolin Liao, Cheng Hua:
An Accelerated Double-Integral ZNN with Resisting Linear Noise for Dynamic Sylvester Equation Solving and Its Application to the Control of the SFM Chaotic System. Axioms 12(3): 287 (2023) - [j17]Lin Xiao, Penglin Cao, Lei Jia, Yongjun He, Wentong Song:
Prescribed-time robust ZNN models for solving equality and inequality systems. J. Frankl. Inst. 360(13): 9307-9328 (2023) - [j16]Lin Xiao, Yuanfang Zhang, Lei Jia, Yongjun He:
A ZNN-based sliding mode control strategy for solving synchronization problems of chaotic systems with application in memristor oscillator. J. Frankl. Inst. 360(16): 12101-12124 (2023) - [j15]Jianhua Dai, Ping Tan, Lin Xiao, Lei Jia, Yongjun He, Jiajie Luo:
A Fuzzy Adaptive Zeroing Neural Network Model With Event-Triggered Control for Time-Varying Matrix Inversion. IEEE Trans. Fuzzy Syst. 31(11): 3974-3983 (2023) - [j14]Lin Xiao, Yongjun He, Yiwei Li, Jianhua Dai:
Design and Analysis of Two Nonlinear ZNN Models for Matrix LR and QR Factorization With Application to 3-D Moving Target Location. IEEE Trans. Ind. Informatics 19(6): 7424-7434 (2023) - [j13]Lin Xiao, Yongjun He, Yaonan Wang, Jianhua Dai, Ran Wang, Wensheng Tang:
A Segmented Variable-Parameter ZNN for Dynamic Quadratic Minimization With Improved Convergence and Robustness. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2413-2424 (2023) - 2022
- [j12]Yongjun He, Lin Xiao, Fuchun Sun, Yaonan Wang:
A variable-parameter ZNN with predefined-time convergence for dynamic complex-valued Lyapunov equation and its application to AOA positioning. Appl. Soft Comput. 130: 109703 (2022) - [j11]Lin Xiao, Yongjun He, Bolin Liao:
A parameter-changing zeroing neural network for solving linear equations with superior fixed-time convergence. Expert Syst. Appl. 208: 118086 (2022) - [j10]Bolin Liao, Yuyan Wang, Jianfeng Li, Dongsheng Guo, Yongjun He:
Harmonic Noise-Tolerant ZNN for Dynamic Matrix Pseudoinversion and Its Application to Robot Manipulator. Frontiers Neurorobotics 16 (2022) - [j9]Lin Xiao, Ping Liu, Yongjun He, Lei Jia, Juan Tao:
A novel ZNN model for fast synchronisation of chaos systems with external disturbances. Neurocomputing 491: 197-205 (2022) - [j8]Jianhua Dai, Ping Tan, Xing Yang, Lin Xiao, Lei Jia, Yongjun He:
A fuzzy adaptive zeroing neural network with superior finite-time convergence for solving time-variant linear matrix equations. Knowl. Based Syst. 242: 108405 (2022) - [j7]Lin Xiao, Sai Liu, Xin Wang, Yongjun He, Lei Jia, Yang Xu:
Zeroing Neural Networks for Dynamic Quaternion-Valued Matrix Inversion. IEEE Trans. Ind. Informatics 18(3): 1562-1571 (2022) - [j6]Jianhua Dai, Yuanmeng Chen, Lin Xiao, Lei Jia, Yongjun He:
Design and Analysis of a Hybrid GNN-ZNN Model With a Fuzzy Adaptive Factor for Matrix Inversion. IEEE Trans. Ind. Informatics 18(4): 2434-2442 (2022) - [j5]Lin Xiao, Yongjun He, Jianhua Dai, Xinwang Liu, Bolin Liao, Haiyan Tan:
A Variable-Parameter Noise-Tolerant Zeroing Neural Network for Time-Variant Matrix Inversion With Guaranteed Robustness. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1535-1545 (2022) - 2021
- [j4]Lin Xiao, Yongjun He, Bolin Liao, Jianhua Dai:
An accelerated ZNN-based algorithm with piecewise time-varying parameters to solve time-variant linear equations. J. Comput. Appl. Math. 398: 113665 (2021) - [j3]Lin Xiao, Juan Tao, Jianhua Dai, Yaonan Wang, Lei Jia, Yongjun He:
A Parameter-Changing and Complex-Valued Zeroing Neural-Network for Finding Solution of Time-Varying Complex Linear Matrix Equations in Finite Time. IEEE Trans. Ind. Informatics 17(10): 6634-6643 (2021) - [j2]Lin Xiao, Yongjun He:
A Noise-Suppression ZNN Model With New Variable Parameter for Dynamic Sylvester Equation. IEEE Trans. Ind. Informatics 17(11): 7513-7522 (2021) - 2020
- [j1]Lin Xiao, Qian Yi, Qiuyue Zuo, Yongjun He:
Improved finite-time zeroing neural networks for time-varying complex Sylvester equation solving. Math. Comput. Simul. 178: 246-258 (2020) - [c1]Yongjun He, Qian Yi, Bolin Liao, Lei Ding, Lin Xiao, Pei Liu:
A Variable Parameter Zeroing Neural Network for Resolving Time-Variant Quadratic Minimization with Preferable Performance. ICACI 2020: 38-43
Coauthor Index
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