An Improved Conjugate Gradient Neural Networks Based on a Generalized Armijo Search Method. - Bingjie Zhang 001; Tao Gao 003; Long Li; Zhanquan Sun; Jian Wang 010 (ICONIP (4), 2017)

A Caputo-Type Fractional-Order Gradient Descent Learning of BP Neural Networks. - Guoling Yang; Bingjie Zhang 001; Zhaoyang Sang; Jian Wang 010; Hua Chen (ISNN (1), 2017)

Convergence Analysis of Caputo-Type Fractional Order Complex-Valued Neural Networks. - Jian Wang 010; Guoling Yang; Bingjie Zhang 001; Zhanquan Sun; Yusong Liu; Jichao Wang (IEEE Access, 2017)

Fully Complex-Valued Wirtinger Conjugate Neural Networks with Generalized Armijo Search. - Bingjie Zhang 001; Junze Wang; Shujun Wu; Jian Wang 010; Huaqing Zhang 002 (ICIC (3), 2018)

An Efficient Elman Neural Networks Based on Improved Conjugate Gradient Method with Generalized Armijo Search. - Mingyue Zhu; Tao Gao 003; Bingjie Zhang 001; Qingying Sun; Jian Wang 010 (ICIC (1), 2018)

A Polak-Ribière-Polyak Conjugate Gradient-Based Neuro-Fuzzy Network and its Convergence. - Tao Gao 003; Jian Wang 010; Bingjie Zhang 001; Huaqing Zhang 002; Peng Ren 001; Nikhil R. Pal (IEEE Access, 2018)

A novel conjugate gradient method with generalized Armijo search for efficient training of feedforward neural networks. - Jian Wang 010; Bingjie Zhang 001; Zhanquan Sun; Wenxue Hao; Qingying Sun (Neurocomputing, 2018)

Fully complex conjugate gradient-based neural networks using Wirtinger calculus framework: Deterministic convergence and its application. - Bingjie Zhang 001; Yusong Liu; Jinde Cao; Shujun Wu; Jian Wang 010 (Neural Networks, 2019)

Convergence of a modified gradient-based learning algorithm with penalty for single-hidden-layer feed-forward networks. - Jian Wang 010; Bingjie Zhang 001; Zhaoyang Sang; Yusong Liu; Shujun Wu; Quan Miao (Neural Comput. Appl., 2020)

Bagging-AdaTSK: An Ensemble Fuzzy Classifier for High-Dimensional Data. - Guangdong Xue; Bingjie Zhang 001; Xiaoling Gong; Jian Wang 010 (ICIC (3), 2022)

Nonstationary fuzzy neural network based on FCMnet clustering and a modified CG method with Armijo-type rule. - Bingjie Zhang 001; Xiaoling Gong; Jian Wang 010; Fengzhen Tang; Kai Zhang 029; Wei Wu 010 (Inf. Sci., 2022)

Double groups of gates based Takagi-Sugeno-Kang (DG-TSK) fuzzy system for simultaneous feature selection and rule extraction. - Guangdong Xue; Jian Wang 010; Bingjie Zhang 001; Bin Yuan; Caili Dai (Fuzzy Sets Syst., 2023)

Zero-order fuzzy neural network with adaptive fuzzy partition and its applications on high-dimensional problems. - Bingjie Zhang 001; Jian Wang 010; Chao Zhang 017; Jie Yang 007; Tufan Kumbasar; Wei Wu 010 (Neurocomputing, 2024)

Interpretable inverse iteration mean shift networks for clustering tasks. - Bingjie Zhang 001; Zihan Yu; Jian Wang 010; Maciej Zelaszczyk; Yaqian Zhang; Jacek Mandziuk; Chao Zhang 017; Witold Pedrycz (Neural Networks, 2025)