Hyun-Jong Lee

About

Hyun-Jong Lee received the B.E. degree in Software department of Kwangwoon University, Seoul, Korea in February 2024. He is currently a master’s student in computer science department of Kwangwoon University. His research interests are in the area of neural networks, wireless communication, machine learning, and neuromorphic computing.

Work

Kwangwoon University
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Master student researcher

Korea (Republic of)

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Kwangwoon University
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Researcher

Korea (Republic of)

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Kwangwoon University
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Bachelor student researcher

Korea (Republic of)

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Education

Kwangwoon University
Korea (Republic of)

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Master degree

Kwangwoon University
Korea (Republic of)

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Bachelor degree

Publications

Performance Analysis of RF Signal Detection and Classification with Spiking Neural Network Using Rate Coding and Temporal Coding

Summary

journal-article

Adaptive Synaptic Adjustment Mechanism to Improve Learning Performances of Spiking Neural Networks

Published by

Computational Intelligence

Summary

journal-article

Low-Power Intrusion Detection System Using SNNs

Published by

The Journal of Korean Institute of Communications and Information Sciences

Summary

journal-article

Analysis on Performance and Energy Consumption in Image Classification with SNN-Based Federated Learning

Published by

The Journal of Korean Institute of Communications and Information Sciences

Summary

journal-article

Wi-Fi frame detection via spiking neural networks with memristive synapses

Published by

Computer Communications

Summary

journal-article

Wi-Fi frame detection via spiking neural networks with memristive synapses

Published by

Computer Communications

Summary

journal-article

METHOD AND COMPUTER SYSTEM FOR ADJUSTING SYNAPTIC WEIGHTS

Summary

patent

Analysis on Effects of Fault Elements in Memristive Neuromorphic Systems

Published by

International Joint Conference on Artificial Intelligence (IJCAI) 2023 GLOW workshop

Summary

conference-paper

Wi-Fi frame detection via spiking neural networks with memristive synapses

Published by

Computer Communications

Summary

journal-article

Apparatus and method for detecting Wi-Fi frame based on Spiking Neural Network

Published by

Korean Intellectual Property Office

Summary

patent

Performance Analysis of Spiking Neural Networks with Memristive Synapse in Detecting and Classifying RF Wave Signals

Published by

International Conference on ICT Convergence

Summary

conference-paper

Performance Analysis of Spiking Neural Networks with Memristive Synapse in Detecting and Classifying RF Wave Signals

Published by

International Conference on ICT Convergence

Summary

conference-paper