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Chengze Jiang
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2020 – today
- 2024
- [j11]Xiuchun Xiao, Chengze Jiang, Qixiang Mei, Yudong Zhang:
Noise-tolerate and adaptive coefficient zeroing neural network for solving dynamic matrix square root. CAAI Trans. Intell. Technol. 9(1): 167-177 (2024) - [c1]Kun Tong, Chengze Jiang, Jie Gui, Yuan Cao:
Taxonomy Driven Fast Adversarial Training. AAAI 2024: 5233-5242 - [i2]Kun Tong, Chengze Jiang, Jie Gui, Yuan Cao:
Taxonomy Driven Fast Adversarial Training. CoRR abs/2408.03944 (2024) - 2023
- [j10]Huiting He, Chengze Jiang, Xiuchun Xiao, Guancheng Wang:
A dynamic matrix equation solution method based on NCBC-ZNN and its application on hyperspectral image multi-target detection. Appl. Intell. 53(19): 22267-22281 (2023) - [j9]Xiuchun Xiao, Chengze Jiang, Long Jin, Haoen Huang, Guan-Cheng Wang:
Nonlinear RNN with noise-immune: A robust and learning-free method for hyperspectral image target detection. Expert Syst. Appl. 229(Part A): 120490 (2023) - [j8]Chengze Jiang, Xiuchun Xiao:
Norm-Based Adaptive Coefficient ZNN for Solving the Time-Dependent Algebraic Riccati Equation. IEEE CAA J. Autom. Sinica 10(1): 298-300 (2023) - [j7]Haoen Huang, Zifan Huang, Chaomin Wu, Chengze Jiang, Dongyang Fu, Cong Lin:
Modified Newton Integration Neural Algorithm for Solving Time-Varying Yang-Baxter-Like Matrix Equation. Neural Process. Lett. 55(1): 773-787 (2023) - 2022
- [j6]Kunjian Li, Chengze Jiang, Xiuchun Xiao, Haoen Huang, Yongjiang Li, Jingwen Yan:
Residual Error Feedback Zeroing Neural Network for Solving Time-Varying Sylvester Equation. IEEE Access 10: 2860-2868 (2022) - [j5]Mianjie Zheng, Chengze Jiang, Ying Liufu, Xiuchun Xiao:
A Non-Convex Activation and Noise-Suppressing Zeroing Neural Network for Finding Time-Varying Matrix Square Root. IEEE Access 10: 128336-128347 (2022) - 2021
- [j4]Jiahao Wu, Chengze Jiang, Baitao Chen, Qixiang Mei, Xiuchun Xiao:
Solving Time-Varying Complex-Valued Sylvester Equation via Adaptive Coefficient and Non-Convex Projection Zeroing Neural Network. IEEE Access 9: 135890-135898 (2021) - [j3]Siyuan Liao, Dongyang Fu, Haoen Huang, Chengze Jiang:
Modified Newton Integration Algorithm With Noise Tolerance for Discrete Algebraic Matrix Riccati Equation. IEEE Access 9: 156680-156687 (2021) - [j2]Chengze Jiang, Xiuchun Xiao, Dazhao Liu, Haoen Huang, Hua Xiao, Huiyan Lu:
Nonconvex and Bound Constraint Zeroing Neural Network for Solving Time-Varying Complex-Valued Quadratic Programming Problem. IEEE Trans. Ind. Informatics 17(10): 6864-6874 (2021) - [i1]Chengze Jiang, Long Jin, Xiuchun Xiao:
Residual-Based Adaptive Coefficient and Noise-Immunity ZNN for Perturbed Time-Dependent Quadratic Minimization. CoRR abs/2112.01773 (2021) - 2020
- [j1]Xiuchun Xiao, Chengze Jiang, Huiyan Lu, Long Jin, Dazhao Liu, Haoen Huang, Yi Pan:
A parallel computing method based on zeroing neural networks for time-varying complex-valued matrix Moore-Penrose inversion. Inf. Sci. 524: 216-228 (2020)
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last updated on 2024-10-07 21:21 CEST by the dblp team
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