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Suyoun Lee
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2020 – today
- 2024
- [c2]Jongkil Park, YeonJoo Jeong, Jaewook Kim, Suyoun Lee, Joon Young Kwak, Jong-Keuk Park, Inho Kim:
High-Density Digital Neuromorphic Processor with High-Precision Neural and Synaptic Dynamics and Temporal Acceleration. AICAS 2024: 322-326 - [i6]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:
Designing Prompt Analytics Dashboards to Analyze Student-ChatGPT Interactions in EFL Writing. CoRR abs/2405.19691 (2024) - [i5]Dayena Jeong, Jaewoo Park, Jeonghee Jo, Jongkil Park, Jaewook Kim, Hyun Jae Jang, Suyoun Lee, Seongsik Park:
A More Accurate Approximation of Activation Function with Few Spikes Neurons. CoRR abs/2409.00044 (2024) - [i4]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:
LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Education. CoRR abs/2410.15025 (2024) - 2023
- [j3]Jongkil Park
, YeonJoo Jeong
High Dynamic Range Digital Neuron Core With Time-Embedded Floating-Point Arithmetic. IEEE Trans. Circuits Syst. I Regul. Pap. 70(1): 290-301 (2023) - [c1]Daeyoung Kim, Jihyeok Choi, Mingyu Cheon, YeonJoo Jeong, Jaewook Kim, Joon Young Kwak
Real-time Neural Connectivity Inference with Presynaptic Spike-driven Spike Timing-Dependent Plasticity. EMBC 2023: 1-4 - [i3]Seongsik Park, Jeonghee Jo, Jongkil Park, Yeonjoo Jeong, Jaewook Kim, Suyoun Lee, Joon Young Kwak
Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information. CoRR abs/2308.00558 (2023) - 2022
- [j2]Suman Hu
SPICE Study of STDP Characteristics in a Drift and Diffusive Memristor-Based Synapse for Neuromorphic Computing. IEEE Access 10: 6381-6392 (2022) - 2021
- [j1]Taeyoon Kim
Spiking Neural Network (SNN) With Memristor Synapses Having Non-linear Weight Update. Frontiers Comput. Neurosci. 15: 646125 (2021) - 2020
- [i2]Seong-il Im, Hyejin Lee, Jaesang Lee, Jae-Seung Jeong, Joon Young Kwak, Keunsu Kim, Jeong Ho Cho, Hyunsu Ju, Suyoun Lee:
Highly-scalable stochastic neuron based on Ovonic Threshold Switch (OTS) and its applications in Restricted Boltzmann Machine (RBM). CoRR abs/2010.10986 (2020)
2010 – 2019
- 2018
- [i1]Milim Lee, Youngjo Kim, Seong Won Cho, Joon Young Kwak, Hyunsu Ju, Yeonjin Yi, Byung-ki Cheong, Suyoun Lee:
A highly scalable and energy-efficient artificial neuron using an Ovonic Threshold Switch (OTS) featuring the spike-frequency adaptation and chaotic activity. CoRR abs/1810.08381 (2018)
Coauthor Index
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