Jian Li

Orcid: 0000-0003-1033-842X

Affiliations:
  • Xinyang Normal University, Department of Computer and Information Technology, China
  • Sun Yat-sen University, School of Information Science and Technology, Guangzhou, China (PhD 2019)


According to our database1, Jian Li authored at least 38 papers between 2016 and 2023.

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

Timeline

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Bibliography

2023
Robust Registration of Optical and SAR Images Using Multi-Orientation Relative Total Variation Structural Representation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Combining Phase Congruency and Self-Similarity Features for Multimodal Remote Sensing Image Matching.
IEEE Geosci. Remote. Sens. Lett., 2023

Modality-Invariant Structural Feature Representation for Multimodal Remote Sensing Image Matching.
IEEE Geosci. Remote. Sens. Lett., 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

A Novel Multiscale Adaptive Binning Phase Congruency Feature for SAR and Optical Image Registration.
IEEE Trans. Geosci. Remote. Sens., 2022

Phase Congruency Order-Based Local Structural Feature for SAR and Optical Image Matching.
IEEE Geosci. Remote. Sens. Lett., 2022

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

Stability-Constraint-Free Solutions to Solve Time-Varying Linear Equation System.
IEEE Access, 2022

Multimodal Image Matching using Phase Congruency-based Self-Similarity Structural Features.
Proceedings of the 17th International Conference on Control, 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

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
Continuous and Discrete Zeroing Neural Network for Different-Level Dynamic Linear System With Robot Manipulator Control.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Discrete-time formulation, control, solution and verification of pendulum systems with zeroing neural dynamics.
Theor. Comput. Sci., 2020

From mathematical equivalence such as Ma equivalence to generalized Zhang equivalency including gradient equivalency.
Theor. Comput. Sci., 2020

New zeroing neural dynamics models for diagonalization of symmetric matrix stream.
Numer. Algorithms, 2020

Event-triggered zeroing dynamics for motion control of Stewart platform.
J. Frankl. Inst., 2020

General Third-Order-Accuracy Formulas for Time Discretization Applied to Time-Varying Optimization.
IEEE Access, 2020

Zeroing Neural Network for Solving Hybrid Multilayered Time-Varying Linear System.
IEEE Access, 2020

2019
Stepsize Range and Optimal Value for Taylor-Zhang Discretization Formula Applied to Zeroing Neurodynamics Illustrated via Future Equality-Constrained Quadratic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2019

General Square-Pattern Discretization Formulas via Second-Order Derivative Elimination for Zeroing Neural Network Illustrated by Future Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2019

Stepsize domain confirmation and optimum of ZeaD formula for future optimization.
Numer. Algorithms, 2019

A 5-instant finite difference formula to find discrete time-varying generalized matrix inverses, matrix inverses, and scalar reciprocals.
Numer. Algorithms, 2019

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

Five-instant type discrete-time ZND solving discrete time-varying linear system, division and quadratic programming.
Neurocomputing, 2019

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

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

New Discretization-Formula-Based Zeroing Dynamics for Real-Time Tracking Control of Serial and Parallel Manipulators.
IEEE Trans. Ind. Informatics, 2018

Z-type neural-dynamics for time-varying nonlinear optimization under a linear equality constraint with robot application.
J. Comput. Appl. Math., 2018

Zhang Matrix Found as an Exception with its Time-Dependent Pseudoinverse Unsolvable by Getz-Masden Dynamic System.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

Exemplar Different-Level Quadratic Minimization, Division-by-Zero Issue, and Comparative Solutions.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

GMDS-ZNN Variants Having Errors Proportional to Sampling Gap as Compared with Models 1 and 2 Having Higher Precision.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

Discrete-Time Lu Chaotic Systems Synchronization with One ZND Controller Input and Zead Formulas.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

2017
Taylor-zhang discretization formula extended to time-varying four fundamental operations with numerical experiments.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Stabilization of three time-varying linear systems using ZG method with pseudo division-by-zero phenomena displayed.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

Symbolic Solutions to Division by Zero Problem via Gradient Neurodynamics.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Enhanced discrete-time Zhang neural network for time-variant matrix inversion in the presence of bias noises.
Neurocomputing, 2016

MSFD method based temperature forecasting with mode of learning-checking and core functions.
Proceedings of the International Conference on Machine Learning and Cybernetics, 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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