Dongseok Kwon

29 papers A 1B 1C 1Journal 22Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
PCIM-SAT: A 55nm Probabilistic K-SAT Solver with p-Bit-Based Parallel-Variable Update on a Mixed-Signal Compute-in-Memory Architecture.
ISSCC
Tinish Bhattacharya, George Higgins Hutchinson, Dongseok Kwon, Dmitri B. Strukov
2025 J jnl
Efficient Hybrid Training Method for Neuromorphic Hardware Using Analog Nonvolatile Memory.
IEEE Trans. Neural Networks Learn. Syst.
Dongseok Kwon, Sung Yun Woo, Joon Hwang, Hyeongsu Kim, Jong-Ho Bae, Wonjun Shin, Byung-Gook Park, Jong-Ho Lee
2025 — conf
KLIMA: Low-latency mixed-signal In-Memory Computing accelerator for solving arbitrary-order Boolean Satisfiability.
HCS
Tinish Bhattacharya, Dongseok Kwon, George Higgins Hutchinson, Xiangyi Zhang, Giacomo Pedretti, Fabian Böhm, John Paul Strachan, Thomas Van Vaerenbergh, Ray Beausoleil, Ignacio Rozada, Dmitri B. Strukov
2025 J jnl
Solving Boolean satisfiability problems with resistive content addressable memories.
CoRR
Giacomo Pedretti, Fabian Böhm, Tinish Bhattacharya, Arne Heittmann, Xiangyi Zhang, Mohammad Hizzani, George Higgins Hutchinson, Dongseok Kwon, John Moon, Elisabetta Valiante, Ignacio Rozada, Catherine E. Graves, Jim Ignowski, Masoud Mohseni, John Paul Strachan, Dmitri B. Strukov, Raymond G. Beausoleil, Thomas Van Vaerenbergh
2024 A conf
FPIA: Field-Programmable Ising Arrays with In-Memory Computing.
ISLPED
George Higgins Hutchinson, Ethan Sifferman, Tinish Bhattacharya, Dongseok Kwon, Dmitri B. Strukov
2024 J jnl
SNNSim: Investigation and Optimization of Large-Scale Analog Spiking Neural Networks Based on Flash Memory Devices.
Adv. Intell. Syst.
JongHyun Ko, Dongseok Kwon, Joon Hwang, Kyu-Ho Lee, Seongbin Oh, Jeonghyun Kim, Jiseong Im, Ryun-Han Koo, Jae-Joon Kim, Jong-Ho Lee
2024 J jnl
Si-Based Dual-Gate Field-Effect Transistor Array for Low-Power On-Chip Trainable Hardware Neural Networks.
Adv. Intell. Syst.
Kyu-Ho Lee, Dongseok Kwon, In-Seok Lee, Joon Hwang, Jiseong Im, Jong-Ho Bae, Woo Young Choi, Sung Yun Woo, Jong-Ho Lee
2024 J jnl
Toward Optimized In-Memory Reinforcement Learning: Leveraging 1/
Adv. Intell. Syst.
Jangsaeng Kim, Wonjun Shin, Jiyong Yim, Dongseok Kwon, Daewoong Kwon, Jong-Ho Lee
2023 J jnl
1/
Adv. Intell. Syst.
Wonjun Shin, Kyung Kyu Min, Jong-Ho Bae, Jaehyeon Kim, Ryun-Han Koo, Dongseok Kwon, Jae-Joon Kim, Daewoong Kwon, Jong-Ho Lee
2023 J jnl
Analog Synaptic Devices Based on IGZO Thin-Film Transistors with a Metal-Ferroelectric-Metal-Insulator-Semiconductor Structure for High-Performance Neuromorphic Systems.
Adv. Intell. Syst.
Dongseok Kwon, Eunchan Park, Wonjun Shin, Ryun-Han Koo, Joon Hwang, Jong-Ho Bae, Daewoong Kwon, Jong-Ho Lee
2022 — conf
First Demonstration of 1-bit Erase in Vertical NAND Flash Memory.
VLSI Technology and Circuits
Honam Yoo, Jong-Won Back, Nam-Hun Kim, Dongseok Kwon, Byung-Gook Park, Jong-Ho Lee
2022 J jnl
Neuron Circuits for Low-Power Spiking Neural Networks Using Time-To-First-Spike Encoding.
IEEE Access
Seongbin Oh, Dongseok Kwon, Gyuho Yeom, Won-Mook Kang, Soochang Lee, Sung Yun Woo, Jaehyeon Kim, Jong-Ho Lee
2022 J jnl
Novel, parallel and differential synaptic architecture based on NAND flash memory for high-density and highly-reliable binary neural networks.
Neurocomputing
Sung-Tae Lee, Hyeongsu Kim, Honam Yoo, Dongseok Kwon, Jong-Ho Lee
2022 J jnl
On-Chip Trainable Spiking Neural Networks Using Time-To-First-Spike Encoding.
IEEE Access
Jiseong Im, Jaehyeon Kim, Honam Yoo, Jong-Won Baek, Dongseok Kwon, Seongbin Oh, Jangsaeng Kim, Joon Hwang, Byung-Gook Park, Jong-Ho Lee
2021 J jnl
Direct Gradient Calculation: Simple and Variation-Tolerant On-Chip Training Method for Neural Networks.
Adv. Intell. Syst.
Hyungyo Kim, Joon Hwang, Dongseok Kwon, Jangsaeng Kim, Min-Kyu Park, Jiseong Im, Byung-Gook Park, Jong-Ho Lee
2021 J jnl
Direct Gradient Calculation: Simple and Variation-Tolerant On-Chip Training Method for Neural Networks.
Adv. Intell. Syst.
Hyungyo Kim, Joon Hwang, Dongseok Kwon, Jangsaeng Kim, Min Kyu Park, Jiseong Im, Byung-Gook Park, Jong-Ho Lee
2021 J jnl
Hardware-Based Spiking Neural Network Using a TFT-Type AND Flash Memory Array Architecture Based on Direct Feedback Alignment.
IEEE Access
Won-Mook Kang, Dongseok Kwon, Sung Yun Woo, Soochang Lee, Honam Yoo, Jangsaeng Kim, Byung-Gook Park, Jong-Ho Lee
2021 J jnl
Hardware-based spiking neural network architecture using simplified backpropagation algorithm and homeostasis functionality.
Neurocomputing
Jangsaeng Kim, Dongseok Kwon, Sung Yun Woo, Won-Mook Kang, Soochang Lee, Seongbin Oh, Chul-Heung Kim, Jong-Ho Bae, Byung-Gook Park, Jong-Ho Lee
2021 J jnl
On-chip trainable hardware-based deep Q-networks approximating a backpropagation algorithm.
Neural Comput. Appl.
Jangsaeng Kim, Dongseok Kwon, Sung Yun Woo, Won-Mook Kang, Soochang Lee, Seongbin Oh, Chul-Heung Kim, Jong-Ho Bae, Byung-Gook Park, Jong-Ho Lee
2021 J jnl
Pulse-Width Modulation Neuron Implemented by Single Positive-Feedback Device.
CoRR
Sung Yun Woo, Dongseok Kwon, Byung-Gook Park, Jong-Ho Lee, Jong-Ho Bae
2021 J jnl
Spiking Neural Networks With Time-to-First-Spike Coding Using TFT-Type Synaptic Device Model.
IEEE Access
Seongbin Oh, Soochang Lee, Sung Yun Woo, Dongseok Kwon, Jiseong Im, Joon Hwang, Jong-Ho Bae, Byung-Gook Park, Jong-Ho Lee
2020 J jnl
Efficient precise weight tuning protocol considering variation of the synaptic devices and target accuracy.
Neurocomputing
Hyeongsu Kim, Jong-Ho Bae, Suhwan Lim, Sungtae Lee, Young-Tak Seo, Dongseok Kwon, Byung-Gook Park, Jong-Ho Lee
2020 J jnl
Hardware Implementation of Spiking Neural Networks Using Time-To-First-Spike Encoding.
CoRR
Seongbin Oh, Dongseok Kwon, Gyuho Yeom, Won-Mook Kang, Soochang Lee, Sung Yun Woo, Jangsaeng Kim, Min Kyu Park, Jong-Ho Lee
2020 J jnl
Low-Power and High-Density Neuron Device for Simultaneous Processing of Excitatory and Inhibitory Signals in Neuromorphic Systems.
IEEE Access
Sung Yun Woo, Dongseok Kwon, Nagyong Choi, Won-Mook Kang, Young-Tak Seo, Min Kyu Park, Jong-Ho Bae, Byung-Gook Park, Jong-Ho Lee
2020 J jnl
NAND Flash Based Novel Synaptic Architecture for Highly Robust and High-Density Quantized Neural Networks With Binary Neuron Activation of (1, 0).
IEEE Access
Sung-Tae Lee, Dongseok Kwon, Hyeongsu Kim, Honam Yoo, Jong-Ho Lee
2019 J jnl
Adaptive learning rule for hardware-based deep neural networks using electronic synapse devices.
Neural Comput. Appl.
Suhwan Lim, Jong-Ho Bae, Jai-Ho Eum, Sungtae Lee, Chul-Heung Kim, Dongseok Kwon, Byung-Gook Park, Jong-Ho Lee
2019 B conf
Investigation of Neural Networks Using Synapse Arrays Based on Gated Schottky Diodes.
IJCNN
Suhwan Lim, Dongseok Kwon, Sungtae Lee, Hyeongsu Kim, Jong-Ho Bae, Jong-Ho Lee
2019 — conf
Review of candidate devices for neuromorphic applications.
ESSDERC
Jong-Ho Lee, Yoohyun Noh, Hyeongsu Kim, Jangsaeng Kim, Jong-Ho Bae, Sung Yun Woo, Sungtae Lee, Suhwan Lim, Won-Mook Kang, Young-Tak Seo, Soochang Lee, Dongseok Kwon, Seongbin Oh
2018 C conf
Hardware-based Neural Networks using a Gated Schottky Diode as a Synapse Device.
ISCAS
Suhwan Lim, Jong-Ho Bae, Jai-Ho Eum, Sungtae Lee, Chul-Heung Kim, Dongseok Kwon, Jong-Ho Lee