Xiumin Li

Orcid: 0000-0002-2398-4757

According to our database1, Xiumin Li authored at least 27 papers between 2007 and 2024.

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

Timeline

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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
Highway Connection for Low-Latency and High-Accuracy Spiking Neural Networks.
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

Global Industrial Chain Resilience Research: Theory and Measurement.
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

Reconfigurable Mobile Robots Robust Segment Reconfiguration Docking Strategy.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

A Scheme for Robust Federated Learning with Privacy-preserving Based on Krum AGR.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

An Approach for Attack Scenario Construction Based on Dynamic Attack Path Graph.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

2022
Event-Driven Intrinsic Plasticity for Spiking Convolutional Neural Networks.
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
Ciphertext retrieval via attribute-based FHE in cloud computing.
Soft Comput., 2018

Improving liquid state machine in temporal pattern classification.
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

Policy Based on Homomorphic Encryption and Retrieval Scheme in Cloud Computing.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016
Secure Outsourcing Algorithm of Polynomials in Cloud Computing.
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


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