Eunhyeok Park

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 42

Top Topics

Error Detection And Correction

Data Processing

Diffusion Models

Top Venues

IEEE Comput. Archit. Lett.

Publications

Hyungkyu Ham, Jeongmin Hong, Geonwoo Park, Yunseon Shin, Okkyun Woo, Wonhyuk Yang, Jinhoon Bae, Eunhyeok Park, Hyojin Sung, Euicheol Lim, Gwangsun Kim
Low-overhead General-purpose Near-Data Processing in CXL Memory Expanders. CoRR (2024)
Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park
OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models. AAAI (2024)
Seonggon Kim, Eunhyeok Park
HLQ: Fast and Efficient Backpropagation via Hadamard Low-rank Quantization. CoRR (2024)
Geonung Kim, Beomsu Kim, Eunhyeok Park, Sunghyun Cho
Task-Oriented Diffusion Model Compression. CoRR (2024)
Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park
Temporal Dynamic Quantization for Diffusion Models. NeurIPS (2023)
Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park, Jae-Joon Kim
Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation. WACV (2023)
Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park
OWQ: Lessons learned from activation outliers for weight quantization in large language models. CoRR (2023)
JongMin Lee, Eunhyeok Park, Sungjoo Yoo
Multi-scale Local Implicit Keypoint Descriptor for Keypoint Matching. CVPR Workshops (2023)
Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park
Temporal Dynamic Quantization for Diffusion Models. CoRR (2023)
Junhyuk So, Jungwon Lee, Eunhyeok Park
FRDiff: Feature Reuse for Exquisite Zero-shot Acceleration of Diffusion Models. CoRR (2023)
Yugyoung Yun, Eunhyeok Park
Fast Performance Prediction for Efficient Distributed DNN Training. IEEE Comput. Archit. Lett. 22 (2) (2023)
Changhun Lee, Hyungjun Kim, Eunhyeok Park, Jae-Joon Kim
INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold. ICCV (2023)
Juncheol Shin, Junhyuk So, Sein Park, Seungyeop Kang, Sungjoo Yoo, Eunhyeok Park
NIPQ: Noise proxy-based Integrated Pseudo-Quantization. CVPR (2023)
Changhun Lee, Hyungjun Kim, Eunhyeok Park, Jae-Joon Kim
INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold. CoRR (2022)
Ilchae Jung, Minji Kim, Eunhyeok Park, Bohyung Han
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking. IJCAI (2022)
Sein Park, Yeongsang Jang, Eunhyeok Park
Symmetry Regularization and Saturating Nonlinearity for Robust Quantization. ECCV (11) (2022)
Sein Park, Yeongsang Jang, Eunhyeok Park
Symmetry Regularization and Saturating Nonlinearity for Robust Quantization. CoRR (2022)
Han-Byul Kim, Eunhyeok Park, Sungjoo Yoo
BASQ: Branch-wise Activation-clipping Search Quantization for Sub-4-bit Neural Networks. ECCV (12) (2022)
Sein Park, Junhyuk So, Juncheol Shin, Eunhyeok Park
NIPQ: Noise Injection Pseudo Quantization for Automated DNN Optimization. CoRR (2022)
Ilchae Jung, Minji Kim, Eunhyeok Park, Bohyung Han
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking. CoRR (2022)
Jaehun Ryu, Eunhyeok Park, Hyojin Sung
One-shot tuner for deep learning compilers. CC (2022)
Soobeom Kim, Seunghwan Cho, Eunhyeok Park, Sungjoo Yoo
FPGA Prototyping of Systolic Array-based Accelerator for Low-Precision Inference of Deep Neural Networks. RSP (2021)
Sung Min Cho, Hongjun Lim, Keunchan Park, Sungjoo Yoo, Eunhyeok Park
On the Overlooked Significance of Underutilized Contextual Features in Recent News Recommendation Models. CoRR (2021)
Hyunyoung Jung, Eunhyeok Park, Sungjoo Yoo
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation. CoRR (2021)
Hyungkyu Ham, Hyunuk Cho, Minjae Kim, Jueon Park, Jeongmin Hong, Hyojin Sung, Eunhyeok Park, Euicheol Lim, Gwangsun Kim
Near-Data Processing in Memory Expander for DNN Acceleration on GPUs. IEEE Comput. Archit. Lett. 20 (2) (2021)
Hyunyoung Jung, Eunhyeok Park, Sungjoo Yoo
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation. ICCV (2021)
Eunhyeok Park, Sungjoo Yoo
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models. ECCV (6) (2020)
Sung Min Cho, Eunhyeok Park, Sungjoo Yoo
MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation. RecSys (2020)
Seunghwan Cho, Haerang Choi, Eunhyeok Park, Hyunsung Shin, Sungjoo Yoo
McDRAM v2: In-Dynamic Random Access Memory Systolic Array Accelerator to Address the Large Model Problem in Deep Neural Networks on the Edge. IEEE Access 8 (2020)
Sung Min Cho, Eunhyeok Park, Sungjoo Yoo
MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation. CoRR (2020)
Eunhyeok Park, Sungjoo Yoo
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models. CoRR (2020)
Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park, Sungjoo Yoo
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss. ICCV (2019)
Jongeun Koo, Eunhyeok Park, Dongyoung Kim, Junki Park, Sungju Ryu, Sungjoo Yoo, Jae-Joon Kim
Low-overhead, one-cycle timing-error detection and correction technique for flip-flop based pipelines. IEICE Electron. Express 16 (11) (2019)
Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park, Sungjoo Yoo
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss. CoRR (2019)
Eunhyeok Park, Sungjoo Yoo, Peter Vajda
Value-aware Quantization for Training and Inference of Neural Networks. CoRR (2018)
Eunhyeok Park, Sungjoo Yoo, Peter Vajda
Value-Aware Quantization for Training and Inference of Neural Networks. ECCV (4) (2018)
Eunhyeok Park, Dongyoung Kim, Sungjoo Yoo
Energy-Efficient Neural Network Accelerator Based on Outlier-Aware Low-Precision Computation. ISCA (2018)
Hyunsung Shin, Dongyoung Kim, Eunhyeok Park, Sungho Park, Yongsik Park, Sungjoo Yoo
McDRAM: Low Latency and Energy-Efficient Matrix Computations in DRAM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (11) (2018)
Eunhyeok Park, Dongyoung Kim, Sungjoo Yoo, Peter Vajda
Precision Highway for Ultra Low-Precision Quantization. CoRR (2018)
Eunhyeok Park, Junwhan Ahn, Sungjoo Yoo
Weighted-Entropy-Based Quantization for Deep Neural Networks. CVPR (2017)
Yong-Deok Kim, Eunhyeok Park, Sungjoo Yoo, Taelim Choi, Lu Yang, Dongjun Shin
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications. ICLR (Poster) (2016)
Jongeun Koo, Eunwoo Song, Eunhyeok Park, Dongyoung Kim, Junki Park, Sungju Ryu, Sungjoo Yoo, Jae-Joon Kim
Area-efficient one-cycle correction scheme for timing errors in flip-flop based pipelines. A-SSCC (2016)
Eunhyeok Park, Junwhan Ahn, Sungpack Hong, Sungjoo Yoo, Sunggu Lee
Memory fast-forward: a low cost special function unit to enhance energy efficiency in GPU for big data processing. DATE (2015)
Eunhyeok Park, Dongyoung Kim, Soobeom Kim, Yong-Deok Kim, Gunhee Kim, Sungroh Yoon, Sungjoo Yoo
Big/little deep neural network for ultra low power inference. CODES+ISSS (2015)
Hyunsun Park, Junwhan Ahn, Eunhyeok Park, Sungjoo Yoo
Locality-aware vertex scheduling for GPU-based graph computation. VLSI-SoC (2015)