Suyoun Lee

According to our database, Suyoun Lee authored at least 17 papers between 2018 and 2026.

Collaborative distances:

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

2026

Optimizing reservoir connectivity: A path to high-performance liquid state machines.

Seungmin Oh, Unhyeon Kang, Jaewook Kim, Jingyeong Hwang, Jiin Bang, Kyungmin Lee, Younghyun Lee, Jongkil Park, Jaewook Kim, Seongsik Park, Hyun Jae Jang, Changyoung Kim, Suyoun Lee

Neurocomputing, 2026

Creating text-based AI clones of myself: Exploring perceptions, development strategies, and challenges.

Donggun Lee, Suyoun Lee, Hyunseung Lim, Hwajung Hong

Int. J. Hum. Comput. Stud., 2026

"Oops! ChatGPT is Temporarily Unavailable!": A Diary Study on Knowledge Workers' Experiences of LLM Withdrawal.

Eunseo Oh, Suyoun Lee, Jae Young Choi, Soobin Park, Youn-kyung Lim

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

Investigating AI-induced Technostress and Coping Strategies of Professionals.

Heesung Kwon, Jeesun Oh, Suyoun Lee, Sunok Lee, Sangsu Lee

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Ovonic switches enable energy-efficient dendrite-like computing.

Unhyeon Kang, Jaesang Lee, Seungmin Oh, Hanchan Song, Jongkil Park, Jaewook Kim, Seongsik Park, Hyun Jae Jang, Sangbum Kim, Su-In Yi, Suhas Kumar, Suyoun Lee

CoRR, December, 2025

Late Breaking Results: Improving Deep SNNs with Gradient Clipping and Noise Exploitation in Neuromorphic Devices.

Seongsik Park, Jongkil Park, Hyun Jae Jang, Jaewook Kim, YeonJoo Jeong, Gye Weon Hwang, Inho Kim, Jong-Keuk Park, Kyeong Seok Lee, Suyoun Lee

Proceedings of the Design, Automation & Test in Europe Conference, 2025

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