Rui Zhang

Orcid: 0000-0001-9547-2585

Affiliations:
  • Northwest University, Department of Mathematics, Xi'an, China
  • Xi'an Jiaotong University, Institute for Information and System Sciences, Xi'an, China (former)
  • Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (PhD 2012)


According to our database1, Rui Zhang authored at least 29 papers between 2005 and 2025.

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

Timeline

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Bibliography

2025
Understanding the Spatio-Temporal Coupling of Spikes and Spindles in Focal Epilepsy Through a Network-Level Computational Model.
Int. J. Neural Syst., 2025

2024
A novel autism spectrum disorder identification method: spectral graph network with brain-population graph structure joint learning.
Int. J. Mach. Learn. Cybern., April, 2024

Newton Time-Reassigned Multi-Synchrosqueezing Wavelet Transform.
IEEE Signal Process. Lett., 2024

2023
A novel computer-assisted diagnosis method of knee osteoarthritis based on multivariate information and deep learning model.
Digit. Signal Process., March, 2023

2022
Research on classification of motor imagery EEG signals based on TQWT-CSP.
Proceedings of the 6th International Conference on Computer Science and Artificial Intelligence, 2022

A Novel Transfer Learning Model for Cross-Subject Emotion Recognition using EEGs.
Proceedings of the 6th International Conference on Computer Science and Artificial Intelligence, 2022

Detection of CT Pulmonary Nodule Based on Improved Yolo Using Attention Mechanism.
Proceedings of the 6th International Conference on Computer Science and Artificial Intelligence, 2022

Classification of Alzheimers disease by combining dynamic and static brain network features.
Proceedings of the 6th International Conference on Computer Science and Artificial Intelligence, 2022

2021
Computational Evidence for a Competitive Thalamocortical Model of Spikes and Spindle Activity in Rolandic Epilepsy.
Frontiers Comput. Neurosci., 2021

2020
A New Neural Mass Model Driven Method and Its Application in Early Epileptic Seizure Detection.
IEEE Trans. Biomed. Eng., 2020

Automatic Detection of Epilepsy EEG based on CNN-LSTM Network Combination Model.
Proceedings of the CSAI 2020: 2020 4th International Conference on Computer Science and Artificial Intelligence, 2020

2019
A novel neural computational model of generalized periodic discharges in acute hepatic encephalopathy.
J. Comput. Neurosci., 2019

Effects of Cholinergic Neuromodulation on Thalamocortical Rhythms During NREM Sleep: A Model Study.
Frontiers Comput. Neurosci., 2019

Automatic Identification of Premature Ventricular Contraction Using ECGs.
Proceedings of the Health Information Science - 8th International Conference, 2019

2018
A Mean Field Model of Acute Hepatic Encephalopathy.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Application of extreme learning machine to epileptic seizure detection based on lagged Poincaŕe plots.
Multidimens. Syst. Signal Process., 2017

Automated identification of epileptic seizures in EEG signals based on phase space representation and statistical features in the CEEMD domain.
Biomed. Signal Process. Control., 2017

Epileptic Seizure Detection Using EEGs Based on Kernel Radius of Intrinsic Mode Functions.
Proceedings of the Health Information Science - 6th International Conference, 2017

2016
Automated detection of epileptic EEGs using a novel fusion feature and extreme learning machine.
Neurocomputing, 2016

Automatic seizure detection using a novel EEG feature based on nonlinear complexity.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2013
Dynamic Extreme Learning Machine and Its Approximation Capability.
IEEE Trans. Cybern., 2013

2012
Extreme Learning Machine for Regression and Multiclass Classification.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Global Convergence of Online BP Training With Dynamic Learning Rate.
IEEE Trans. Neural Networks Learn. Syst., 2012

Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes.
IEEE Trans. Neural Networks Learn. Syst., 2012

Credit risk evaluation with extreme learning machine.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

2011
Extreme Learning Machine with Adaptive Growth of Hidden Nodes and Incremental Updating of Output Weights.
Proceedings of the Autonomous and Intelligent Systems - Second International Conference, 2011

2009
Some Characterizations of Global Exponential Stability of a Generic Class of Continuous-Time Recurrent Neural Networks.
IEEE Trans. Syst. Man Cybern. Part B, 2009

When Does Online BP Training Converge?
IEEE Trans. Neural Networks, 2009

2005
A Generalized Global Convergence Theory of Projection-Type Neural Networks for Optimization.
Proceedings of the Computational Intelligence and Security, International Conference, 2005


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