A fixed-time convergent and noise-tolerant zeroing neural network for online solution of time-varying matrix inversion. - Jie Jin; Jingcan Zhu; Lv Zhao; Lei Chen (Appl. Soft Comput., 2022)

A combined power activation function based convergent factor-variable ZNN model for solving dynamic matrix inversion. - Jingcan Zhu; Jie Jin; Weijie Chen; Jianqiang Gong (Math. Comput. Simul., 2022)

Novel activation functions-based ZNN models for fixed-time solving dynamirc Sylvester equation. - Jie Jin; Jingcan Zhu; Jianqing Gong; Weijie Chen (Neural Comput. Appl., 2022)

A noise tolerant parameter-variable zeroing neural network and its applications. - Jie Jin; Weijie Chen; Lixin Qiu; Jingcan Zhu; Haiyan Liu (Math. Comput. Simul., 2023)

A Robust Predefined-Time Convergence Zeroing Neural Network for Dynamic Matrix Inversion. - Jie Jin; Jingcan Zhu; Lv Zhao; Lei Chen; Long Chen; Jianqiang Gong (IEEE Trans. Cybern., 2023)

Improved Recurrent Neural Networks for Text Classification and Dynamic Sylvester Equation Solving. - Weijie Chen; Jie Jin; Dimitrios Gerontitis; Lixin Qiu; Jingcan Zhu (Neural Process. Lett., 2023)

A Complex-Valued Variant-Parameter Robust Zeroing Neural Network Model and its Applications. - Jie Jin; Jingcan Zhu; Lan Zhou; Chaoyang Chen 001; Lianghong Wu; Ming Lu; Changren Zhu; Lei Chen 045; Lv Zhao; Zhijing Li 004 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A New-Type Zeroing Neural Network Model and Its Application in Dynamic Cryptography. - Jingcan Zhu; Jie Jin; Chaoyang Chen 001; Lianghong Wu; Ming Lu; Aijia Ouyang (IEEE Trans. Emerg. Top. Comput. Intell., 2025)