Bolin Liao

Orcid: 0000-0001-9036-2723

According to our database1, Bolin Liao authored at least 72 papers between 2013 and 2024.

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Bibliography

2024
An improving integration-enhanced ZNN for solving time-varying polytope distance problems with inequality constraint.
Neural Comput. Appl., October, 2024

GNN Model With Robust Finite-Time Convergence for Time-Varying Systems of Linear Equations.
IEEE Trans. Syst. Man Cybern. Syst., August, 2024

Virtual node graph neural network for full phonon prediction.
Nat. Comput. Sci., July, 2024

Secure and Real-Time Traceable Data Sharing in Cloud-Assisted IoT.
IEEE Internet Things J., February, 2024

Double integral-enhanced Zeroing neural network with linear noise rejection for time-varying matrix inverse.
CAAI Trans. Intell. Technol., February, 2024

GNN Model for Time-Varying Matrix Inversion With Robust Finite-Time Convergence.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

A varying-parameter complementary neural network for multi-robot tracking and formation via model predictive control.
Neurocomputing, 2024

Inter-robot management via neighboring robot sensing and measurement using a zeroing neural dynamics approach.
Expert Syst. Appl., 2024

A Comprehensive Review of Recent Advances on Intelligence Algorithms and Information Engineering Applications.
IEEE Access, 2024

Applications of Zeroing Neural Networks: A Survey.
IEEE Access, 2024

An Enhanced Activated Zeroing Neural Dynamics for Solving Complex Matrix Inverse and Tracking Trajectory of Robotic Manipulator.
IEEE Access, 2024

Complex Double Integration Enhanced ZNN with Rejection of Linear Noise for Computing Time-Dependent Sylvester Equation.
Proceedings of the IEEE International Conference on Industrial Technology, 2024

2023
Voting based double-weighted deterministic extreme learning machine model and its application.
Frontiers Neurorobotics, August, 2023

Advances on intelligent algorithms for scientific computing: an overview.
Frontiers Neurorobotics, June, 2023

A dynamic quantum group blind signature scheme based on four-particle cluster state.
Quantum Inf. Process., March, 2023

Heavy-Head Sampling for Fast Imitation Learning of Machine Learning Based Combinatorial Auction Solver.
Neural Process. Lett., February, 2023

An Accelerated Double-Integral ZNN with Resisting Linear Noise for Dynamic Sylvester Equation Solving and Its Application to the Control of the SFM Chaotic System.
Axioms, 2023

Dynamic Neural Network Models for Time-Varying Problem Solving: A Survey on Model Structures.
IEEE Access, 2023

2022
Harmonic Noise-Tolerant ZNN for Dynamic Matrix Pseudoinversion and Its Application to Robot Manipulator.
Frontiers Neurorobotics, September, 2022

A Variable-Parameter Noise-Tolerant Zeroing Neural Network for Time-Variant Matrix Inversion With Guaranteed Robustness.
IEEE Trans. Neural Networks Learn. Syst., 2022

A gradient-based neural network accelerated for vision-based control of an RCM-constrained surgical endoscope robot.
Neural Comput. Appl., 2022

A parameter-changing zeroing neural network for solving linear equations with superior fixed-time convergence.
Expert Syst. Appl., 2022

Egret Swarm Optimization Algorithm: An Evolutionary Computation Approach for Model Free Optimization.
CoRR, 2022

Nonlinearly Activated IEZNN Model for Solving Time-Varying Sylvester Equation.
IEEE Access, 2022

2021
Prescribed-time convergent and noise-tolerant Z-type neural dynamics for calculating time-dependent quadratic programming.
Neural Comput. Appl., 2021

An accelerated ZNN-based algorithm with piecewise time-varying parameters to solve time-variant linear equations.
J. Comput. Appl. Math., 2021

Thermodynamically-informed Air-based Soft Heat Engine Design.
CoRR, 2021

2020
Robustness Analysis of a Power-Type Varying-Parameter Recurrent Neural Network for Solving Time-Varying QM and QP Problems and Applications.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Co-Design of Finite-Time Convergence and Noise Suppression: A Unified Neural Model for Time Varying Linear Equations With Robotic Applications.
IEEE Trans. Syst. Man Cybern. Syst., 2020

A New Repetitive Motion Planning Scheme With Noise Suppression Capability for Redundant Robot Manipulators.
IEEE Trans. Syst. Man Cybern. Syst., 2020

A Finite-Time Convergent and Noise-Rejection Recurrent Neural Network and Its Discretization for Dynamic Nonlinear Equations Solving.
IEEE Trans. Cybern., 2020

Comprehensive Analysis of ZNN Models for Computing Complex-Valued Time-Dependent Matrix Inverse.
IEEE Access, 2020

A Variable Parameter Zeroing Neural Network for Resolving Time-Variant Quadratic Minimization with Preferable Performance.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

2019
RNN for Solving Perturbed Time-Varying Underdetermined Linear System With Double Bound Limits on Residual Errors and State Variables.
IEEE Trans. Ind. Informatics, 2019

Recurrent Neural Network for Kinematic Control of Redundant Manipulators With Periodic Input Disturbance and Physical Constraints.
IEEE Trans. Cybern., 2019

Discrete-time noise-tolerant Zhang neural network for dynamic matrix pseudoinversion.
Soft Comput., 2019

A new noise-tolerant and predefined-time ZNN model for time-dependent matrix inversion.
Neural Networks, 2019

Nonlinear gradient neural network for solving system of linear equations.
Inf. Process. Lett., 2019

A novel recurrent neural network and its finite-time solution to time-varying complex matrix inversion.
Neurocomputing, 2019

Bounded Z-type neurodynamics with limited-time convergence and noise tolerance for calculating time-dependent Lyapunov equation.
Neurocomputing, 2019

A recurrent neural network with predefined-time convergence and improved noise tolerance for dynamic matrix square root finding.
Neurocomputing, 2019

A Noise-Acceptable ZNN for Computing Complex-Valued Time-Dependent Matrix Pseudoinverse.
IEEE Access, 2019

2018
Cooperative Motion Generation in a Distributed Network of Redundant Robot Manipulators With Noises.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Design and Analysis of FTZNN Applied to the Real-Time Solution of a Nonstationary Lyapunov Equation and Tracking Control of a Wheeled Mobile Manipulator.
IEEE Trans. Ind. Informatics, 2018

Bi-criteria minimization with MWVN-INAM type for motion planning and control of redundant robot manipulators.
Robotica, 2018

Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations.
Neural Networks, 2018

A Varying-Gain Recurrent Neural Network and Its Application to Solving Online Time-Varying Matrix Equation.
IEEE Access, 2018

Noise-Resistant Discrete-Time Neural Dynamics for Computing Time-Dependent Lyapunov Equation.
IEEE Access, 2018

CNN and PCA Based Visual System of A Wheelchair Manipulator Robot for Automatic Drinking.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

Solving quadratic minimization problem by finite-time recurrent neural network using two different nonlinear activation functions.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2017
Robustness Analyses and Optimal Sampling Gap of Recurrent Neural Network for Dynamic Matrix Pseudoinversion.
J. Adv. Comput. Intell. Intell. Informatics, 2017

Zeroing neural networks: A survey.
Neurocomputing, 2017

A finite-time convergent dynamic system for solving online simultaneous linear equations.
Int. J. Comput. Math., 2017

A Velocity-Level Bi-Criteria Optimization Scheme for Coordinated Path Tracking of Dual Robot Manipulators Using Recurrent Neural Network.
Frontiers Neurorobotics, 2017

Different-Level Simultaneous Minimization Scheme for Fault Tolerance of Redundant Manipulator Aided with Discrete-Time Recurrent Neural Network.
Frontiers Neurorobotics, 2017

An Improved Recurrent Neural Network for Complex-Valued Systems of Linear Equation and Its Application to Robotic Motion Tracking.
Frontiers Neurorobotics, 2017

A Complex Gradient Neural Dynamics for Fast Complex Matrix Inversion.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

An Arctan-Activated WASD Neural Network Approach to the Prediction of Dow Jones Industrial Average.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

A recurrent neural network approach for visual servoing of manipulators.
Proceedings of the IEEE International Conference on Information and Automation, 2017

2016
Taylor O(h<sup>3</sup>) Discretization of ZNN Models for Dynamic Equality-Constrained Quadratic Programming With Application to Manipulators.
IEEE Trans. Neural Networks Learn. Syst., 2016

Novel Complex-Valued Neural Network for Dynamic Complex-Valued Matrix Inversion.
J. Adv. Comput. Intell. Intell. Informatics, 2016

A convergence-accelerated Zhang neural network and its solution application to Lyapunov equation.
Neurocomputing, 2016

Performance analyses of recurrent neural network models exploited for online time-varying nonlinear optimization.
Comput. Sci. Inf. Syst., 2016

GZ-type complex dynamic system solving online for time-varying complex matrix inverse.
Proceedings of the IEEE International Conference on Information and Automation, 2016

2015
Pseudoinverse-type bi-criteria minimization scheme for redundancy resolution of robot manipulators.
Robotica, 2015

A Fully Complex-Valued Neural Network for Rapid Solution of Complex-Valued Systems of Linear Equations.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

2014
Different Complex ZFs Leading to Different Complex ZNN Models for Time-Varying Complex Generalized Inverse Matrices.
IEEE Trans. Neural Networks Learn. Syst., 2014

Analysis and Verification of Repetitive Motion Planning and Feedback Control for Omnidirectional Mobile Manipulator Robotic Systems.
J. Intell. Robotic Syst., 2014

From different ZFs to different ZNN models accelerated via Li activation functions to finite-time convergence for time-varying matrix pseudoinversion.
Neurocomputing, 2014

Three neural networks for nonlinear optimization.
Proceedings of the 10th International Conference on Natural Computation, 2014

From Newton Fractals to Gradient Fractals in Addition to Zhang Fractals.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

2013
Minimum movement scheme with wheels and joints coordinated simultaneously for mobile redundant manipulator.
Proceedings of the IEEE International Conference on Information and Automation, 2013


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