Jichun Li
Orcid: 0000-0002-9158-3269Affiliations:
- Teesside University, School of Science, Engineering and Design, Middlesbrough, UK
- King's College London (former)
According to our database1,
Jichun Li
authored at least 20 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Design and Analysis of a Novel Distributed Gradient Neural Network for Solving Consensus Problems in a Predefined Time.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
2023
ZNNs With a Varying-Parameter Design Formula for Dynamic Sylvester Quaternion Matrix Equation.
IEEE Trans. Neural Networks Learn. Syst., December, 2023
Anti-interference Zeroing Neural Network Model for Time-Varying Tensor Square Root Finding.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
2021
New Noise-Tolerant ZNN Models With Predefined-Time Convergence for Time-Variant Sylvester Equation Solving.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Comprehensive study on complex-valued ZNN models activated by novel nonlinear functions for dynamic complex linear equations.
Inf. Sci., 2021
Performance analysis of nonlinear activated zeroing neural networks for time-varying matrix pseudoinversion with application.
Appl. Soft Comput., 2021
2020
Design and Comprehensive Analysis of a Noise-Tolerant ZNN Model With Limited-Time Convergence for Time-Dependent Nonlinear Minimization.
IEEE Trans. Neural Networks Learn. Syst., 2020
A Noise-Tolerant Zeroing Neural Network for Time-Dependent Complex Matrix Inversion Under Various Kinds of Noises.
IEEE Trans. Ind. Informatics, 2020
IEEE Trans Autom. Sci. Eng., 2020
Design and analysis of three nonlinearly activated ZNN models for solving time-varying linear matrix inequalities in finite time.
Neurocomputing, 2020
Zeroing neural network with comprehensive performance and its applications to time-varying Lyapunov equation and perturbed robotic tracking.
Neurocomputing, 2020
2019
A new noise-tolerant and predefined-time ZNN model for time-dependent matrix inversion.
Neural Networks, 2019
Exploiting Delay Budget Flexibility for Efficient Group Delivery in the Internet of Things.
IEEE Internet Things J., 2019
A Fully Automated Robot for the Preparation of Fungal Samples for FTIR Spectroscopy Using Deep Learning.
IEEE Access, 2019
Design and Analysis of Two FTRNN Models With Application to Time-Varying Sylvester Equation.
IEEE Access, 2019
An Improved Complex-Valued Recurrent Neural Network Model for Time-Varying Complex-Valued Sylvester Equation.
IEEE Access, 2019
2012
Tissue stiffness simulation and abnormality localization using pseudo-haptic feedback.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Rolling Indentation Probe for Tissue Abnormality Identification During Minimally Invasive Surgery.
IEEE Trans. Robotics, 2011
2010
Miniaturized force-indentation depth sensor for tissue abnormality identification during laparoscopic surgery.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010