Lei Zhang

Orcid: 0000-0003-0535-998X

Affiliations:
  • University of Regina, Faculty of Engineering and Applied Science, SK, Canada
  • Brunel University, London, UK (PhD 2012)


According to our database1, Lei Zhang authored at least 30 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Optimization of Patient Specific Stimulus for Deep Brain Stimulation Using Spatially Distributed Neural Sources.
IEEE Trans. Artif. Intell., February, 2024

FPGA Implementation of Complex-Valued Neural Network for Polar-Represented Image Classification.
Sensors, February, 2024

2023
Spiking Neural Network Implementation on FPGA for Multiclass Classification.
Proceedings of the IEEE International Systems Conference, 2023

Polar Representation of 2D Image Using Complex Exponential Spiking Neuron Network.
Proceedings of the 52nd International Conference on Parallel Processing Workshops, 2023

Neural Dynamics Analysis for A Novel Bio-inspired Logistic Spiking Neuron Model.
Proceedings of the IEEE International Conference on Consumer Electronics, 2023

Mitigating Infectious Disease Transmission with Face Mask Detection Using Machine Learning.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2023

An Efficient VHDL Implementation of two Artificial Neural Networks on Zynq-7000 FPGA.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2023

2022
Oscillation Patterns of A Complex Exponential Neural Network.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

A Bio-Inspired Neural Network for Modelling COVID-19 Transmission in Canada.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022

2020
Dynamical system based compact deep hybrid network for classification of Parkinson disease related EEG signals.
Neural Networks, 2020

Improved Spiking Neural Networks with multiple neurons for digit recognition.
Proceedings of the 11th International Conference on Awareness Science and Technology, 2020

EEG Signals Feature Extraction and Artificial Neural Networks Classification for The Diagnosis of Schizophrenia.
Proceedings of the 19th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2020

2019
Evaluating the Effects of Size and Precision of Training Data on ANN Training Performance for the Prediction of Chaotic Time Series Patterns.
Int. J. Softw. Sci. Comput. Intell., 2019

Chaotic System Design Based on Recurrent Artificial Neural Network for the Simulation of EEG Time Series.
Int. J. Cogn. Informatics Nat. Intell., 2019

Building Logistic Spiking Neuron Models Using Analytical Approach.
IEEE Access, 2019

EEG Signals Classification Using Machine Learning for The Identification and Diagnosis of Schizophrenia.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Time Series Generation Using Nonlinear Autoregressive Model Artificial Neural Network Based Nonlinear Autoregressive Model Design for the Generation and Prediction of Lorenz Chaotic System.
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018

Evaluating the Training Performance of Artificial Neural Network Using Small Time Series Segments of The Lorenz Chaotic System.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Lorenz Chaotic System Artificial Neural Network Training with Single Time Series Input and Multiple Time Series Outputs for EEG Prediction.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

FPGA Hardware Implementation and Optimization for Neural Network based Chaotic System Design.
Proceedings of the 9th International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies, 2018

Real Time Fixed Point Adaptive Chaotic System Generator for Deep Brain Stimulation Using FPGA.
Proceedings of the 2018 International Conference on Frontiers of Information Technology, 2018

Artificial Neural Network Modelling of Rossler's and Chua's Chaotic Systems.
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

Artificial Neural Network Based Chaotic System Design for the Simulation of EEG Time Series.
Proceedings of the 17th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2018

Improving the Efficacy of Artificial Neural Network Training by Optimizing Training Data for the Simulation and Prediction of Electroencephalogram Chaotic Patterns.
Proceedings of the 17th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2018

2017
Real-time feature extraction for multi-channel EEG signals time-frequency analysis.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

Fixed-point FPGA model-based design and optimization for Henon map chaotic generator.
Proceedings of the 8th IEEE Latin American Symposium on Circuits & Systems, 2017

Hénon map chaotic system analysis and VHDL-based fixed-point FPGA implementation for brain stimulation.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

Artificial Neural Network model design and topology analysis for FPGA implementation of Lorenz chaotic generator.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

2016
Maximum entropy based common spatial patterns for motor imagery classification.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Ultrasonic inspection of underwater guy wires with applications to floating oil platforms.
Proceedings of the 2016 IEEE Canadian Conference on Electrical and Computer Engineering, 2016


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