A parallel computing method based on zeroing neural networks for time-varying complex-valued matrix Moore-Penrose inversion. - Xiuchun Xiao; Chengze Jiang; Huiyan Lu; Long Jin 001; Dazhao Liu; Haoen Huang 001; Yi Pan 001 (Inf. Sci., 2020)

Modified Newton Integration Algorithm With Noise Tolerance for Discrete Algebraic Matrix Riccati Equation. - Siyuan Liao; Dongyang Fu; Haoen Huang 001; Chengze Jiang (IEEE Access, 2021)

Solving Time-Varying Complex-Valued Sylvester Equation via Adaptive Coefficient and Non-Convex Projection Zeroing Neural Network. - Jiahao Wu; Chengze Jiang; Baitao Chen; Qixiang Mei; Xiuchun Xiao (IEEE Access, 2021)

Residual-Based Adaptive Coefficient and Noise-Immunity ZNN for Perturbed Time-Dependent Quadratic Minimization. - Chengze Jiang; Long Jin 001; Xiuchun Xiao (CoRR, 2021)

Nonconvex and Bound Constraint Zeroing Neural Network for Solving Time-Varying Complex-Valued Quadratic Programming Problem. - Chengze Jiang; Xiuchun Xiao; Dazhao Liu; Haoen Huang 001; Hua Xiao; Huiyan Lu (IEEE Trans. Ind. Informatics, 2021)

Residual Error Feedback Zeroing Neural Network for Solving Time-Varying Sylvester Equation. - Kunjian Li; Chengze Jiang; Xiuchun Xiao; Haoen Huang 001; Yongjiang Li; Jingwen Yan (IEEE Access, 2022)

A Non-Convex Activation and Noise-Suppressing Zeroing Neural Network for Finding Time-Varying Matrix Square Root. - Mianjie Zheng; Chengze Jiang; Ying Liufu; Xiuchun Xiao (IEEE Access, 2022)

Norm-Based Adaptive Coefficient ZNN for Solving the Time-Dependent Algebraic Riccati Equation. - Chengze Jiang; Xiuchun Xiao (IEEE CAA J. Autom. Sinica, 2023)

Modified Newton Integration Neural Algorithm for Solving Time-Varying Yang-Baxter-Like Matrix Equation. - Haoen Huang 001; Zifan Huang; Chaomin Wu; Chengze Jiang; Dongyang Fu; Cong Lin 004 (Neural Process. Lett., 2023)

A dynamic matrix equation solution method based on NCBC-ZNN and its application on hyperspectral image multi-target detection. - Huiting He; Chengze Jiang; Xiuchun Xiao; Guancheng Wang 002 (Appl. Intell., 2023)

Nonlinear RNN with noise-immune: A robust and learning-free method for hyperspectral image target detection. - Xiuchun Xiao; Chengze Jiang; Long Jin 001; Haoen Huang 001; Guan-Cheng Wang 002 (Expert Syst. Appl., 2023)

Taxonomy Driven Fast Adversarial Training. - Kun Tong; Chengze Jiang; Jie Gui; Yuan Cao 005 (AAAI, 2024)

Noise-tolerate and adaptive coefficient zeroing neural network for solving dynamic matrix square root. - Xiuchun Xiao; Chengze Jiang; Qixiang Mei; Yudong Zhang 001 (CAAI Trans. Intell. Technol., 2024)

Single Image Super-Resolution Reconstruction Based on Multilayer Residual Networks With Attention Mechanisms. - Zhao Lu; Zhenbiao Tu; Zongxin Zhang; Chengze Jiang; Pengyun Chen (IEEE Access, 2025)

FT-GPNN: A finite-time convergence solution for multi-set constrained optimization. - Huiting He; Chengze Jiang; Zhiyuan Song; Xiuchun Xiao; Neal Xiong 001 (Appl. Soft Comput., 2025)

Improving Fast Adversarial Training via Self-Knowledge Guidance. - Chengze Jiang; Junkai Wang; Minjing Dong; Jie Gui; Xinli Shi; Yuan Cao 005; Yuan Yan Tang; James Tin-Yau Kwok (IEEE Trans. Inf. Forensics Secur., 2025)

Survey of Adversarial Robustness in Multimodal Large Language Models. - Chengze Jiang; Zhuangzhuang Wang; Minjing Dong; Jie Gui (CoRR, 2025)

A Review on Zeroing Neural Networks. - Chengze Jiang; Jie Gui; Long Jin; Shuai Li (CoRR, 2025)

Discrete zeroing neural dynamic with noise tolerance for image deblurring. - Cong Lin 004; Fenghao Zhuang; Jiahao Li; Chengze Jiang; Yuanyuan Wu 002 (Expert Syst. Appl., 2026)