![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Eunhyeok Park
Person information
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c23]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: 13355-13364 - [i17]Geonung Kim, Beomsu Kim, Eunhyeok Park, Sunghyun Cho:
Task-Oriented Diffusion Model Compression. CoRR abs/2401.17547 (2024) - [i16]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 abs/2404.19381 (2024) - [i15]Seonggon Kim, Eunhyeok Park:
HLQ: Fast and Efficient Backpropagation via Hadamard Low-rank Quantization. CoRR abs/2406.15102 (2024) - 2023
- [j5]Yugyoung Yun
, Eunhyeok Park
:
Fast Performance Prediction for Efficient Distributed DNN Training. IEEE Comput. Archit. Lett. 22(2): 133-136 (2023) - [c22]Juncheol Shin, Junhyuk So, Sein Park, Seungyeop Kang, Sungjoo Yoo, Eunhyeok Park:
NIPQ: Noise proxy-based Integrated Pseudo-Quantization. CVPR 2023: 3852-3861 - [c21]JongMin Lee, Eunhyeok Park, Sungjoo Yoo:
Multi-scale Local Implicit Keypoint Descriptor for Keypoint Matching. CVPR Workshops 2023: 6145-6154 - [c20]Changhun Lee, Hyungjun Kim, Eunhyeok Park, Jae-Joon Kim:
INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold. ICCV 2023: 17279-17288 - [c19]Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park:
Temporal Dynamic Quantization for Diffusion Models. NeurIPS 2023 - [c18]Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park, Jae-Joon Kim:
Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation. WACV 2023: 2409-2418 - [i14]Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park:
OWQ: Lessons learned from activation outliers for weight quantization in large language models. CoRR abs/2306.02272 (2023) - [i13]Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park:
Temporal Dynamic Quantization for Diffusion Models. CoRR abs/2306.02316 (2023) - [i12]Junhyuk So, Jungwon Lee, Eunhyeok Park:
FRDiff: Feature Reuse for Exquisite Zero-shot Acceleration of Diffusion Models. CoRR abs/2312.03517 (2023) - 2022
- [c17]Jaehun Ryu
, Eunhyeok Park
, Hyojin Sung
:
One-shot tuner for deep learning compilers. CC 2022: 89-103 - [c16]Han-Byul Kim
, Eunhyeok Park
, Sungjoo Yoo
:
BASQ: Branch-wise Activation-clipping Search Quantization for Sub-4-bit Neural Networks. ECCV (12) 2022: 17-33 - [c15]Sein Park
, Yeongsang Jang
, Eunhyeok Park
:
Symmetry Regularization and Saturating Nonlinearity for Robust Quantization. ECCV (11) 2022: 206-222 - [c14]Ilchae Jung, Minji Kim, Eunhyeok Park, Bohyung Han:
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking. IJCAI 2022: 1002-1008 - [i11]Changhun Lee, Hyungjun Kim, Eunhyeok Park, Jae-Joon Kim:
INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold. CoRR abs/2204.07439 (2022) - [i10]Ilchae Jung, Minji Kim, Eunhyeok Park, Bohyung Han:
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking. CoRR abs/2205.11179 (2022) - [i9]Sein Park, Junhyuk So, Juncheol Shin, Eunhyeok Park:
NIPQ: Noise Injection Pseudo Quantization for Automated DNN Optimization. CoRR abs/2206.00820 (2022) - [i8]Sein Park, Yeongsang Jang, Eunhyeok Park:
Symmetry Regularization and Saturating Nonlinearity for Robust Quantization. CoRR abs/2208.00338 (2022) - 2021
- [j4]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): 171-174 (2021) - [c13]Hyunyoung Jung
, Eunhyeok Park, Sungjoo Yoo:
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation. ICCV 2021: 12622-12632 - [c12]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: 1-7 - [i7]Hyunyoung Jung, Eunhyeok Park, Sungjoo Yoo:
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation. CoRR abs/2108.08829 (2021) - [i6]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 abs/2112.14370 (2021) - 2020
- [j3]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: 135223-135243 (2020) - [c11]Eunhyeok Park
, Sungjoo Yoo
:
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models. ECCV (6) 2020: 430-446 - [c10]Sung Min Cho, Eunhyeok Park, Sungjoo Yoo:
MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation. RecSys 2020: 515-520 - [i5]Eunhyeok Park, Sungjoo Yoo:
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models. CoRR abs/2008.04693 (2020) - [i4]Sung Min Cho, Eunhyeok Park, Sungjoo Yoo:
MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation. CoRR abs/2008.08273 (2020)
2010 – 2019
- 2019
- [j2]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): 20190180 (2019) - [c9]Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park, Sungjoo Yoo:
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss. ICCV 2019: 9055-9064 - [i3]Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park, Sungjoo Yoo:
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss. CoRR abs/1908.05840 (2019) - 2018
- [j1]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): 2613-2622 (2018) - [c8]Eunhyeok Park, Sungjoo Yoo, Peter Vajda:
Value-Aware Quantization for Training and Inference of Neural Networks. ECCV (4) 2018: 608-624 - [c7]Eunhyeok Park, Dongyoung Kim, Sungjoo Yoo:
Energy-Efficient Neural Network Accelerator Based on Outlier-Aware Low-Precision Computation. ISCA 2018: 688-698 - [i2]Eunhyeok Park, Sungjoo Yoo, Peter Vajda:
Value-aware Quantization for Training and Inference of Neural Networks. CoRR abs/1804.07802 (2018) - [i1]Eunhyeok Park, Dongyoung Kim, Sungjoo Yoo, Peter Vajda:
Precision Highway for Ultra Low-Precision Quantization. CoRR abs/1812.09818 (2018) - 2017
- [c6]Eunhyeok Park, Junwhan Ahn, Sungjoo Yoo:
Weighted-Entropy-Based Quantization for Deep Neural Networks. CVPR 2017: 7197-7205 - 2016
- [c5]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: 137-140 - [c4]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 - 2015
- [c3]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: 124-132 - [c2]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: 1341-1346 - [c1]Hyunsun Park, Junwhan Ahn, Eunhyeok Park, Sungjoo Yoo:
Locality-aware vertex scheduling for GPU-based graph computation. VLSI-SoC 2015: 195-200
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-17 21:25 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint