2 citations · 3 across the 3 of their papers we have counts for
3 papers
eess.SP2023★ 1 cited
NeuralEQ: Neural-Network-Based Equalizer for High-Speed Wireline Communication
Hanseok Kim, Jae Hyung Ju, Hyun Seok Choi +2
With the growing demand for high-bandwidth applications like video streaming and cloud services, the data transfer rates required for wireline communication keeps increasing, makin…
cs.NE2022★ 2 cited
Improving Spiking Neural Network Accuracy Using Time-based Neurons
Hanseok Kim, Woo-Seok Choi
Due to the fundamental limit to reducing power consumption of running deep learning models on von-Neumann architecture, research on neuromorphic computing systems based on low-powe…
cs.NE2022
Energy-Efficient High-Accuracy Spiking Neural Network Inference Using Time-Domain Neurons
Joonghyun Song, Jiwon Shin, Hanseok Kim +1
Due to the limitations of realizing artificial neural networks on prevalent von Neumann architectures, recent studies have presented neuromorphic systems based on spiking neural ne…