Xiumin Li
Orcid: 0000-0002-2398-4757
According to our database1,
Xiumin Li
authored at least 27 papers
between 2007 and 2024.
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Bibliography
2024
The Impact of Digital Talent Inflow on the Co-Agglomeration of the Digital Economy Industry and Manufacturing.
Syst., August, 2024
A Privacy-Preserving Federated Learning Scheme Against Poisoning Attacks in Smart Grid.
IEEE Internet Things J., May, 2024
Neuroadaptive Tracking Control of Affine Nonlinear Systems Using Echo State Networks Embedded With Multiclustered Structure and Intrinsic Plasticity.
IEEE Trans. Cybern., February, 2024
The Impact of Digital Transformation on the Global Value Chain Position of the Guangdong-Hong Kong-Macao Greater Bay Area.
Syst., 2024
2023
IEEE Trans. Circuits Syst. II Express Briefs, December, 2023
What can computer vision learn from visual neuroscience? Introduction to the special issue.
Biol. Cybern., October, 2023
Syst., September, 2023
Intrinsic Plasticity for Online Unsupervised Learning Based on Soft-Reset Spiking Neuron Model.
IEEE Trans. Cogn. Dev. Syst., 2023
Image Reconstruction and Recognition of Optical Flow Based on Local Feature Extraction Mechanism of Visual Cortex.
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Asymptotic Tracking Control for Uncertain MIMO Systems: A Biologically Inspired ESN Approach.
IEEE Trans. Neural Networks Learn. Syst., 2022
2021
A Computational Model Based on Neural Network of Visual Cortex with Conceptors for Image Classification.
Proceedings of the Neural Computing for Advanced Applications, 2021
2019
Fast and robust learning in Spiking Feed-forward Neural Networks based on Intrinsic Plasticity mechanism.
Neurocomputing, 2019
2018
Proceedings of the 15th International Conference on Control, 2018
2017
Liquid computing of spiking neural network with multi-clustered and active-neuron-dominant structure.
Neurocomputing, 2017
Reservoir Computing with Both Neuronal Intrinsic Plasticity and Multi-Clustered Structure.
Cogn. Comput., 2017
Real-Time Classification Through a Spiking Deep Belief Network with Intrinsic Plasticity.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
The Critical Dynamics in Neural Network Improve the Computational Capability of Liquid State Machines.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017
2016
Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016
2013
Computational capability of liquid state machines with spike-timing-dependent plasticity.
Neurocomputing, 2013
2009
Identifying the Topology of a Coupled FitzHugh-Nagumo Neurobiological Network via a Pinning Mechanism.
IEEE Trans. Neural Networks, 2009
2007
Comparisons of Chemical Synapses and Gap Junctions in the Stochastic Dynamics of Coupled Neurons.
Proceedings of the Life System Modeling and Simulation, International Conference, 2007