Numerical experiments and verifications of ZFD formula 4NgSFD for first-order derivative discretization and approximation. - Yunong Zhang; Huan-Chang Huang; Yang Shi 003; Jian Li 018; Jianfeng Wen (ICMLC, 2016)

Any ZeaD Formula of Six Instants Having No Quartic or Higher Precision with Proof. - Yunong Zhang; Jinjin Guo; Liu He; Yang Shi 003; Chaowei Hu (ICSAI, 2018)

Discrete time-variant nonlinear optimization and system solving via integral-type error function and twice ZND formula with noises suppressed. - Yang Shi 003; Yunong Zhang (Soft Comput., 2018)

Proposing and Validation of a New Four-Point Finite-Difference Formula With Manipulator Application. - Yang Shi 003; Binbin Qiu; Dechao Chen; Jian Li 018; Yunong Zhang (IEEE Trans. Ind. Informatics, 2018)

Future Linear Matrix Equation of Generalized Sylvester Type Solved by Zeroing Neural Dynamics and 5-Instant ZeaD Formula. - Liangjie Ming; Nini Shi; Yang Shi 003; Yunong Zhang (ICNC-FSKD, 2019)

Performance Analyses of Four-Instant Discretization Formulas With Application to Generalized-Sylvester-Type Future Matrix Equation. - Zhangqiang Yin; Kang Liu; Yuanhang Chen; Rui Xue; Jian Li 018; Yang Shi 003 (IEEE Access, 2019)

General four-step discrete-time zeroing and derivative dynamics applied to time-varying nonlinear optimization. - Yunong Zhang; Liu He; Chaowei Hu; Jinjin Guo; Jian Li 018; Yang Shi 003 (J. Comput. Appl. Math., 2019)

Solving future equation systems using integral-type error function and using twice ZNN formula with disturbances suppressed. - Yang Shi 003; Yunong Zhang (J. Frankl. Inst., 2019)

Chinese Lexical Simplification. - Jipeng Qiang; Xinyu Lu; Yun Li 010; Yunhao Yuan 001; Yang Shi 003; Xindong Wu 001 (CoRR, 2020)

Proposing, developing and verification of a novel discrete-time zeroing neural network for solving future augmented Sylvester matrix equation. - Yang Shi 003; Long Jin 001; Shuai Li 002; Jipeng Qiang (J. Frankl. Inst., 2020)

New Discrete-Time Models of Zeroing Neural Network Solving Systems of Time-Variant Linear and Nonlinear Inequalities. - Yang Shi 003; Yunong Zhang (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Solving discrete time-varying complex division using recurrent neural network with disturbance suppression. - Yang Shi 003; Wenhan Zhao; Jie Wang 091; Jian Li 018; Dimitrios Gerontitis (ICAC, 2021)

Design, analysis and verification of recurrent neural dynamics for handling time-variant augmented Sylvester linear system. - Yang Shi 003; Chao Mou; Yimeng Qi; Bin Li 006; Shuai Li 002; Baoqing Yang (Neurocomputing, 2021)

LSBert: Lexical Simplification Based on BERT. - Jipeng Qiang; Yun Li 010; Yi Zhu 006; Yunhao Yuan 001; Yang Shi 003; Xindong Wu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Unified Model Solving Nine Types of Time-Varying Problems in the Frame of Zeroing Neural Network. - Jian Li 018; Yang Shi 003; Hejun Xuan (IEEE Trans. Neural Networks Learn. Syst., 2021)

A robust noise tolerant zeroing neural network for solving time-varying linear matrix equations. - Dimitrios Gerontitis; Ratikanta Behera; Yang Shi 003; Predrag S. Stanimirovic (Neurocomputing, 2022)

Recurrent neural dynamics for handling linear equation system with rank-deficient coefficient and disturbance existence. - Yang Shi 003; Zhenggang Pan; Jian Li 018; Bin Li 006; Xiaobing Sun 001 (J. Frankl. Inst., 2022)

Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination. - Yimeng Qi; Long Jin 001; Xin Luo 001; Yang Shi 003; Mei Liu (IEEE Trans. Cybern., 2022)

Novel Discrete-Time Recurrent Neural Networks Handling Discrete-Form Time-Variant Multi-Augmented Sylvester Matrix Problems and Manipulator Application. - Yang Shi 003; Long Jin 001; Shuai Li 002; Jian Li 018; Jipeng Qiang; Dimitrios Gerontitis (IEEE Trans. Neural Networks Learn. Syst., 2022)

A new ZNN model for finding discrete time-variant matrix square root: From model design to parameter analysis. - Chao Jiang; Yixiang Zhang; Chao Mou; Bin Li 006; Xiaobing Sun 001; Yang Shi 003 (J. Comput. Appl. Math., 2023)

High-Order Robust Discrete-Time Neural Dynamics for Time-Varying Multilinear Tensor Equation With $ mathcal {M}$-Tensor. - Mei Liu; Huanmei Wu; Yang Shi 003; Long Jin 001 (IEEE Trans. Ind. Informatics, 2023)

Direct derivation scheme of DT-RNN algorithm for discrete time-variant matrix pseudo-inversion with application to robotic manipulator. - Yang Shi 003; Wenhan Zhao; Shuai Li 002; Bin Li 006; Xiaobing Sun 001 (Appl. Soft Comput., 2023)

Tracking Control of Cable-Driven Planar Robot Based on Discrete-Time Recurrent Neural Network With Immediate Discretization Method. - Yang Shi 003; Jie Wang 091; Shuai Li 002; Bin Li 006; Xiaobing Sun 001 (IEEE Trans. Ind. Informatics, 2023)

Novel Discrete-Time Recurrent Neural Network for Robot Manipulator: A Direct Discretization Technical Route. - Yang Shi 003; Wenhan Zhao; Shuai Li 002; Bin Li 006; Xiaobing Sun 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Discrete generalized-Sylvester matrix equation solved by RNN with a novel direct discretization numerical method. - Yang Shi 003; Chenling Ding; Shuai Li 002; Bin Li 006; Xiaobing Sun 001 (Numer. Algorithms, 2023)

A direct discretization recurrent neurodynamics method for time-variant nonlinear optimization with redundant robot manipulators. - Yang Shi 003; Wangrong Sheng; Shuai Li 002; Bin Li 006; Xiaobing Sun 001; Dimitrios Gerontitis (Neural Networks, 2023)

An efficient zeroing neural network for solving time-varying nonlinear equations. - Ratikanta Behera; Dimitrios Gerontitis; Predrag S. Stanimirovic; Vasilios N. Katsikis; Yang Shi 003; Xinwei Cao (Neural Comput. Appl., 2023)

An advanced discrete-time RNN for handling discrete time-varying matrix inversion: Form model design to disturbance-suppression analysis. - Yang Shi 003; Qiaowen Shi; Xinwei Cao; Bin Li 006; Xiaobing Sun 001; Dimitrios Gerontitis (CAAI Trans. Intell. Technol., 2023)

Solving Different Numerical Linear Algebra Problems with a New General Fast Neurodynamics. - Dimitrios Gerontitis; Panagiotis Tzekis; Yang Shi 003 (ICACI, 2024)

A RNN for Solving Discrete-Form Time-Varying Matrix Inversion: From Model Design to Parameter Analysis. - Ruicong Wang; Qiaowen Shi; Xijie Wang; Bo Peng; Wei Chong; Yang Shi 003 (ICACI, 2024)

A Discrete Time-Varying Zeroing Neural Dynamics for Solving Equality Constrained Optimization. - Jie Zhou; Qiaowen Shi; Ruicong Wang; Chao Mou; Dimitrios Gerontitis; Yang Shi 003 (ICIRA (3), 2024)

A new recurrent neural network based on direct discretization method for solving discrete time-variant matrix inversion with application. - Yang Shi 003; Wei Chong; Wenhan Zhao; Shuai Li 002; Bin Li 006; Xiaobing Sun 001 (Inf. Sci., 2024)

Neurodynamics for Equality-Constrained Time-Variant Nonlinear Optimization Using Discretization. - Yang Shi 003; Wangrong Sheng; Shuai Li 002; Bin Li 006; Xiaobing Sun 001 (IEEE Trans. Ind. Informatics, 2024)

Real-Time Tracking Control and Efficiency Analyses for Stewart Platform Based on Discrete-Time Recurrent Neural Network. - Yang Shi 003; Wangrong Sheng; Jie Wang 091; Long Jin 001; Bin Li 006; Xiaobing Sun 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Data-driven evolutionary algorithms based on initialization selection strategies, POX crossover and multi-point random mutation for flexible job shop scheduling problems. - Ruxin Zhao; Lixiang Fu; Jiajie Kang; Chang Liu; Wei Wang; Haizhou Wu 003; Yang Shi 003; Chao Jiang; Rui Wang 043 (Appl. Soft Comput., 2025)

A zeroing neural dynamics algorithm for discrete-time nonlinear optimization with linear equality constraint and perturbation inhibition. - Chao Jiang; Jiacheng Wang; Ruxin Zhao; Dimitrios Gerontitis; Yang Shi 003 (Neurocomputing, 2025)

A New Double-Integration-Enhanced RNN Algorithm for Discrete Time-Variant Equation Systems With Robot Manipulator Applications. - Yang Shi 003; Wei Chong; Xinwei Cao; Chao Jiang; Ruxin Zhao; Dimitrios Gerontitis (IEEE Trans Autom. Sci. Eng., 2025)

New RNN Algorithms for Different Time-Variant Matrix Inequalities Solving Under Discrete-Time Framework. - Yang Shi 003; Chenling Ding; Shuai Li 002; Bin Li 006; Xiaobing Sun 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Self-adaptive data-driven evolutionary algorithm based on random forest feature selection and incremental Gaussian process regression on personalized antidepressant medication research. - Ruxin Zhao; Hongtan Zhang; Chang Liu; Yulin Xie; Yue Cao; Yang Shi 003 (Appl. Intell., 2025)