Yang Shi

Orcid: 0000-0003-3014-7858

Affiliations:
  • Sun Yat-sen University, School of Information Science and Technology, Guangzhou, China


According to our database1, Yang Shi authored at least 30 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Neurodynamics for Equality-Constrained Time-Variant Nonlinear Optimization Using Discretization.
IEEE Trans. Ind. Informatics, February, 2024

A new recurrent neural network based on direct discretization method for solving discrete time-variant matrix inversion with application.
Inf. Sci., January, 2024

2023
An advanced discrete-time RNN for handling discrete time-varying matrix inversion: Form model design to disturbance-suppression analysis.
CAAI Trans. Intell. Technol., September, 2023

An efficient zeroing neural network for solving time-varying nonlinear equations.
Neural Comput. Appl., August, 2023

A direct discretization recurrent neurodynamics method for time-variant nonlinear optimization with redundant robot manipulators.
Neural Networks, July, 2023

Discrete generalized-Sylvester matrix equation solved by RNN with a novel direct discretization numerical method.
Numer. Algorithms, July, 2023

Novel Discrete-Time Recurrent Neural Network for Robot Manipulator: A Direct Discretization Technical Route.
IEEE Trans. Neural Networks Learn. Syst., June, 2023

Tracking Control of Cable-Driven Planar Robot Based on Discrete-Time Recurrent Neural Network With Immediate Discretization Method.
IEEE Trans. Ind. Informatics, June, 2023

Direct derivation scheme of DT-RNN algorithm for discrete time-variant matrix pseudo-inversion with application to robotic manipulator.
Appl. Soft Comput., January, 2023

High-Order Robust Discrete-Time Neural Dynamics for Time-Varying Multilinear Tensor Equation With $\mathcal {M}$-Tensor.
IEEE Trans. Ind. Informatics, 2023

A new ZNN model for finding discrete time-variant matrix square root: From model design to parameter analysis.
J. Comput. Appl. Math., 2023

2022
Novel Discrete-Time Recurrent Neural Networks Handling Discrete-Form Time-Variant Multi-Augmented Sylvester Matrix Problems and Manipulator Application.
IEEE Trans. Neural Networks Learn. Syst., 2022

Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination.
IEEE Trans. Cybern., 2022

Recurrent neural dynamics for handling linear equation system with rank-deficient coefficient and disturbance existence.
J. Frankl. Inst., 2022

A robust noise tolerant zeroing neural network for solving time-varying linear matrix equations.
Neurocomputing, 2022

2021
Unified Model Solving Nine Types of Time-Varying Problems in the Frame of Zeroing Neural Network.
IEEE Trans. Neural Networks Learn. Syst., 2021

LSBert: Lexical Simplification Based on BERT.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Design, analysis and verification of recurrent neural dynamics for handling time-variant augmented Sylvester linear system.
Neurocomputing, 2021

Solving discrete time-varying complex division using recurrent neural network with disturbance suppression.
Proceedings of the 26th International Conference on Automation and Computing, 2021

2020
New Discrete-Time Models of Zeroing Neural Network Solving Systems of Time-Variant Linear and Nonlinear Inequalities.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Proposing, developing and verification of a novel discrete-time zeroing neural network for solving future augmented Sylvester matrix equation.
J. Frankl. Inst., 2020

Chinese Lexical Simplification.
CoRR, 2020

2019
Solving future equation systems using integral-type error function and using twice ZNN formula with disturbances suppressed.
J. Frankl. Inst., 2019

General four-step discrete-time zeroing and derivative dynamics applied to time-varying nonlinear optimization.
J. Comput. Appl. Math., 2019

Performance Analyses of Four-Instant Discretization Formulas With Application to Generalized-Sylvester-Type Future Matrix Equation.
IEEE Access, 2019

Future Linear Matrix Equation of Generalized Sylvester Type Solved by Zeroing Neural Dynamics and 5-Instant ZeaD Formula.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

2018
Proposing and Validation of a New Four-Point Finite-Difference Formula With Manipulator Application.
IEEE Trans. Ind. Informatics, 2018

Discrete time-variant nonlinear optimization and system solving via integral-type error function and twice ZND formula with noises suppressed.
Soft Comput., 2018

Any ZeaD Formula of Six Instants Having No Quartic or Higher Precision with Proof.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

2016
Numerical experiments and verifications of ZFD formula 4NgSFD for first-order derivative discretization and approximation.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016


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