Wongyu Lee is currently a researcher at FOUNT. He received his BS degree in Mathematics from University of Minnesota-Twin Cities in the U.S. with minor in Computer Science and Physics.

His research interests include machine learning algorithms, specifically spiking neural network (SNN) and reinforcement learning.

Publications

Journal Articles

• S. Han, W. Lee, H. Eom, J. Kim and C. Park, “Detection of Arrhythmia using 1D Convolution Neural Network with LSTM model”, IEIE Transactions on Smart Processing and Computing, Vol.9 No.04, 2020

Conference Papers

• 이원규, “Spiking Neural Network를 이용한 비지도 학습기반 MNIST data 분류”