Hyeonuk Kim

13 papers A* 2A 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Attention-Aided MMSE for OFDM Channel Estimation: Learning Linear Filters with Attention.
CoRR
TaeJun Ha, Chaehyun Jung, Hyeonuk Kim, Jeongwoo Park, Jeonghun Park
2024 J jnl
ADC-Free ReRAM-Based In-Situ Accelerator for Energy-Efficient Binary Neural Networks.
IEEE Trans. Computers
Hyeonuk Kim, Youngbeom Jung, Lee-Sup Kim
2023 J jnl
Energy-Efficient CNN Personalized Training by Adaptive Data Reformation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Youngbeom Jung, Hyeonuk Kim, Seungkyu Choi, Jaekang Shin, Lee-Sup Kim
2022 J jnl
Quantization-Error-Robust Deep Neural Network for Embedded Accelerators.
IEEE Trans. Circuits Syst. II Express Briefs
Youngbeom Jung, Hyeonuk Kim, Yeongjae Choi, Lee-Sup Kim
2022 J jnl
S-FLASH: A NAND Flash-Based Deep Neural Network Accelerator Exploiting Bit-Level Sparsity.
IEEE Trans. Computers
Myeonggu Kang, Hyeonuk Kim, Hyein Shin, Jaehyeong Sim, Kyeonghan Kim, Lee-Sup Kim
2021 J jnl
Candidate point selection using a self-attention mechanism for generating a smooth volatility surface under the SABR model.
Expert Syst. Appl.
Hyeonuk Kim, Kyunghyun Park, Junkee Jeon, Changhoon Song, Jungwoo Bae, Yongsik Kim, Myungjoo Kang
2020 J jnl
An Energy-Efficient Deep Convolutional Neural Network Training Accelerator for In Situ Personalization on Smart Devices.
IEEE J. Solid State Circuits
Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee-Sup Kim
2019 — conf
A 47.4µJ/epoch Trainable Deep Convolutional Neural Network Accelerator for In-Situ Personalization on Smart Devices.
A-SSCC
Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee-Sup Kim
2019 A conf
Compressing Sparse Ternary Weight Convolutional Neural Networks for Efficient Hardware Acceleration.
ISLPED
Hyeonwook Wi, Hyeonuk Kim, Seungkyu Choi, Lee-Sup Kim
2019 J jnl
High order face-offsetting method for interface tracking problem using WENO schemes.
J. Comput. Phys.
Hyeonuk Kim, Heejae Han, Dalhyeon Gwon, Myungjoo Kang
2019 A* conf
NAND-Net: Minimizing Computational Complexity of In-Memory Processing for Binary Neural Networks.
HPCA
Hyeonuk Kim, Jaehyeong Sim, Yeongjae Choi, Lee-Sup Kim
2017 A* conf
A Kernel Decomposition Architecture for Binary-weight Convolutional Neural Networks.
DAC
Hyeonuk Kim, Jaehyeong Sim, Yeongjae Choi, Lee-Sup Kim
2016 J jnl
An integral equation representation approach for valuing Russian options with a finite time horizon.
Commun. Nonlinear Sci. Numer. Simul.
Junkee Jeon, Heejae Han, Hyeonuk Kim, Myungjoo Kang