Suyoun Lee

According to our database, Suyoun Lee authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Education.

Minsun Kim, SeonGyeom Kim, Suyoun Lee, Yoosang Yoon, Junho Myung, Haneul Yoo, Hyunseung Lim, Jieun Han, Yoonsu Kim, So-Yeon Ahn, Juho Kim, Alice Oh, Hwajung Hong, Tak Yeon Lee

CoRR, 2024

A More Accurate Approximation of Activation Function with Few Spikes Neurons.

Dayena Jeong, Jaewoo Park, Jeonghee Jo, Jongkil Park, Jaewook Kim, Hyun Jae Jang, Suyoun Lee, Seongsik Park

CoRR, 2024

Designing Prompt Analytics Dashboards to Analyze Student-ChatGPT Interactions in EFL Writing.

Minsun Kim, SeonGyeom Kim, Suyoun Lee, Yoosang Yoon, Junho Myung, Haneul Yoo, Hyungseung Lim, Jieun Han, Yoonsu Kim, So-Yeon Ahn, Juho Kim, Alice Oh, Hwajung Hong, Tak Yeon Lee

CoRR, 2024

High-Density Digital Neuromorphic Processor with High-Precision Neural and Synaptic Dynamics and Temporal Acceleration.

Jongkil Park, YeonJoo Jeong, Jaewook Kim, Suyoun Lee, Joon Young Kwak, Jong-Keuk Park, Inho Kim

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023

High Dynamic Range Digital Neuron Core With Time-Embedded Floating-Point Arithmetic.

Jongkil Park, YeonJoo Jeong, Jaewook Kim, Suyoun Lee, Joon Young Kwak, Jong-Keuk Park, Inho Kim

IEEE Trans. Circuits Syst. I Regul. Pap., January, 2023

Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information.

Seongsik Park, Jeonghee Jo, Jongkil Park, Yeonjoo Jeong, Jaewook Kim, Suyoun Lee, Joon Young Kwak, Inho Kim, Jong-Keuk Park, Kyeong Seok Lee, Gye Weon Hwang, Hyun Jae Jang

CoRR, 2023

Real-time Neural Connectivity Inference with Presynaptic Spike-driven Spike Timing-Dependent Plasticity.

Daeyoung Kim, Jihyeok Choi, Mingyu Cheon, YeonJoo Jeong, Jaewook Kim, Joon Young Kwak, Jong-Keuk Park, Suyoun Lee, Inho Kim, Jongkil Park

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

SPICE Study of STDP Characteristics in a Drift and Diffusive Memristor-Based Synapse for Neuromorphic Computing.

Suman Hu, Jaehyun Kang, Taeyoon Kim, Suyoun Lee, Jong-Keuk Park, Inho Kim, Jaewook Kim, Joon Young Kwak, Jongkil Park, Gyu-Tae Kim, Shinhyun Choi, YeonJoo Jeong

IEEE Access, 2022

2021

Spiking Neural Network (SNN) With Memristor Synapses Having Non-linear Weight Update.

Taeyoon Kim, Suman Hu, Jaewook Kim, Joon Young Kwak, Jongkil Park, Suyoun Lee, Inho Kim, Jong-Keuk Park, YeonJoo Jeong

Frontiers Comput. Neurosci., 2021

2020

Highly-scalable stochastic neuron based on Ovonic Threshold Switch (OTS) and its applications in Restricted Boltzmann Machine (RBM).

Seong-il Im, Hyejin Lee, Jaesang Lee, Jae-Seung Jeong, Joon Young Kwak, Keunsu Kim, Jeong Ho Cho, Hyunsu Ju, Suyoun Lee

CoRR, 2020

2018

A highly scalable and energy-efficient artificial neuron using an Ovonic Threshold Switch (OTS) featuring the spike-frequency adaptation and chaotic activity.

Milim Lee, Youngjo Kim, Seong Won Cho, Joon Young Kwak, Hyunsu Ju, Yeonjin Yi, Byung-ki Cheong, Suyoun Lee

CoRR, 2018