Eunhyeok Park

According to our database, Eunhyeok Park authored at least 43 papers between 2015 and 2025.

Collaborative distances:

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

2025

SEAL: Scaling to Emphasize Attention for Long-Context Retrieval.

Changhun Lee, Jungyu Jin, Younghyun Cho, Eunhyeok Park

CoRR, January, 2025

Cost-Effective Extension of DRAM-PIM for Group-Wise LLM Quantization.

Byeori Kim, Changhun Lee, Gwangsun Kim, Eunhyeok Park

IEEE Comput. Archit. Lett., 2025

2024

PTQ4VM: Post-Training Quantization for Visual Mamba.

Younghyun Cho, Changhun Lee, Seonggon Kim, Eunhyeok Park

CoRR, 2024

HLQ: Fast and Efficient Backpropagation via Hadamard Low-rank Quantization.

Seonggon Kim, Eunhyeok Park

CoRR, 2024

Task-Oriented Diffusion Model Compression.

Geonung Kim, Beomsu Kim, Eunhyeok Park, Sunghyun Cho

CoRR, 2024

Non-Invasive, Memory Access-Triggered Near-Data Processing for DNN Training Acceleration on GPUs.

Hyungkyu Ham, Hyunuk Cho, Minjae Kim, Jueon Park, Jeongmin Hong, Hyojin Sung, Eunhyeok Park, Euicheol Lim, Gwangsun Kim

IEEE Access, 2024

Low-Overhead General-Purpose Near-Data Processing in CXL Memory Expanders.

Hyungkyu Ham, Jeongmin Hong, Geonwoo Park, Yunseon Shin, Okkyun Woo, Wonhyuk Yang, Jinhoon Bae, Eunhyeok Park, Hyojin Sung, Euicheol Lim, Gwangsun Kim

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

QEFT: Quantization for Efficient Fine-Tuning of LLMs.

Changhun Lee, Jungyu Jin, Younghyun Cho, Eunhyeok Park

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FRDiff : Feature Reuse for Universal Training-Free Acceleration of Diffusion Models.

Junhyuk So, Jungwon Lee, Eunhyeok Park

Proceedings of the Computer Vision - ECCV 2024, 2024

Diffusion Model Compression for Image-to-Image Translation.

Geonung Kim, Beomsu Kim, Eunhyeok Park, Sunghyun Cho

Proceedings of the Computer Vision - ACCV 2024, 2024

OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models.

Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

FRDiff: Feature Reuse for Exquisite Zero-shot Acceleration of Diffusion Models.

Junhyuk So, Jungwon Lee, Eunhyeok Park

CoRR, 2023

OWQ: Lessons learned from activation outliers for weight quantization in large language models.

Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park

CoRR, 2023

Fast Performance Prediction for Efficient Distributed DNN Training.

Yugyoung Yun, Eunhyeok Park

IEEE Comput. Archit. Lett., 2023

Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation.

Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park, Jae-Joon Kim

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Temporal Dynamic Quantization for Diffusion Models.

Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold.

Changhun Lee, Hyungjun Kim, Eunhyeok Park, Jae-Joon Kim

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NIPQ: Noise proxy-based Integrated Pseudo-Quantization.

Juncheol Shin, Junhyuk So, Sein Park, Seungyeop Kang, Sungjoo Yoo, Eunhyeok Park

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-scale Local Implicit Keypoint Descriptor for Keypoint Matching.

JongMin Lee, Eunhyeok Park, Sungjoo Yoo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

NIPQ: Noise Injection Pseudo Quantization for Automated DNN Optimization.

Sein Park, Junhyuk So, Juncheol Shin, Eunhyeok Park

CoRR, 2022

Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking.

Ilchae Jung, Minji Kim, Eunhyeok Park, Bohyung Han

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Symmetry Regularization and Saturating Nonlinearity for Robust Quantization.

Sein Park, Yeongsang Jang, Eunhyeok Park

Proceedings of the Computer Vision - ECCV 2022, 2022

BASQ: Branch-wise Activation-clipping Search Quantization for Sub-4-bit Neural Networks.

Han-Byul Kim, Eunhyeok Park, Sungjoo Yoo

Proceedings of the Computer Vision - ECCV 2022, 2022

One-shot tuner for deep learning compilers.

Jaehun Ryu, Eunhyeok Park, Hyojin Sung

Proceedings of the CC '22: 31st ACM SIGPLAN International Conference on Compiler Construction, Seoul, South Korea, April 2, 2022

2021

On the Overlooked Significance of Underutilized Contextual Features in Recent News Recommendation Models.

Sung Min Cho, Hongjun Lim, Keunchan Park, Sungjoo Yoo, Eunhyeok Park

CoRR, 2021

Near-Data Processing in Memory Expander for DNN Acceleration on GPUs.

Hyungkyu Ham, Hyunuk Cho, Minjae Kim, Jueon Park, Jeongmin Hong, Hyojin Sung, Eunhyeok Park, Euicheol Lim, Gwangsun Kim

IEEE Comput. Archit. Lett., 2021

FPGA Prototyping of Systolic Array-based Accelerator for Low-Precision Inference of Deep Neural Networks.

Soobeom Kim, Seunghwan Cho, Eunhyeok Park, Sungjoo Yoo

Proceedings of the IEEE International Workshop on Rapid System Prototyping, 2021

Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation.

Hyunyoung Jung, Eunhyeok Park, Sungjoo Yoo

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

McDRAM v2: In-Dynamic Random Access Memory Systolic Array Accelerator to Address the Large Model Problem in Deep Neural Networks on the Edge.

Seunghwan Cho, Haerang Choi, Eunhyeok Park, Hyunsung Shin, Sungjoo Yoo

IEEE Access, 2020

MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation.

Sung Min Cho, Eunhyeok Park, Sungjoo Yoo

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

PROFIT: A Novel Training Method for sub-4-bit MobileNet Models.

Eunhyeok Park, Sungjoo Yoo

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Low-overhead, one-cycle timing-error detection and correction technique for flip-flop based pipelines.

Jongeun Koo, Eunhyeok Park, Dongyoung Kim, Junki Park, Sungju Ryu, Sungjoo Yoo, Jae-Joon Kim

IEICE Electron. Express, 2019

Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss.

Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park, Sungjoo Yoo

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

McDRAM: Low Latency and Energy-Efficient Matrix Computations in DRAM.

Hyunsung Shin, Dongyoung Kim, Eunhyeok Park, Sungho Park, Yongsik Park, Sungjoo Yoo

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Precision Highway for Ultra Low-Precision Quantization.

Eunhyeok Park, Dongyoung Kim, Sungjoo Yoo, Peter Vajda

CoRR, 2018

Energy-Efficient Neural Network Accelerator Based on Outlier-Aware Low-Precision Computation.

Eunhyeok Park, Dongyoung Kim, Sungjoo Yoo

Proceedings of the 45th ACM/IEEE Annual International Symposium on Computer Architecture, 2018

Value-Aware Quantization for Training and Inference of Neural Networks.

Eunhyeok Park, Sungjoo Yoo, Peter Vajda

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Weighted-Entropy-Based Quantization for Deep Neural Networks.

Eunhyeok Park, Junwhan Ahn, Sungjoo Yoo

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications.

Yong-Deok Kim, Eunhyeok Park, Sungjoo Yoo, Taelim Choi, Lu Yang, Dongjun Shin

Proceedings of the 4th International Conference on Learning Representations, 2016

Area-efficient one-cycle correction scheme for timing errors in flip-flop based pipelines.

Jongeun Koo, Eunwoo Song, Eunhyeok Park, Dongyoung Kim, Junki Park, Sungju Ryu, Sungjoo Yoo, Jae-Joon Kim

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2016

2015

Locality-aware vertex scheduling for GPU-based graph computation.

Hyunsun Park, Junwhan Ahn, Eunhyeok Park, Sungjoo Yoo

Proceedings of the 2015 IFIP/IEEE International Conference on Very Large Scale Integration, 2015

Memory fast-forward: a low cost special function unit to enhance energy efficiency in GPU for big data processing.

Eunhyeok Park, Junwhan Ahn, Sungpack Hong, Sungjoo Yoo, Sunggu Lee

Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

Big/little deep neural network for ultra low power inference.

Eunhyeok Park, Dongyoung Kim, Soobeom Kim, Yong-Deok Kim, Gunhee Kim, Sungroh Yoon, Sungjoo Yoo

Proceedings of the 2015 International Conference on Hardware/Software Codesign and System Synthesis, 2015