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ORCIDEunhyeok Park
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2020 – today
- 2024
[j6]Hyungkyu Ham
, Hyunuk Cho, Minjae Kim, Jueon Park, Jeongmin Hong, Hyojin Sung, Eunhyeok Park, Euicheol Lim, Gwangsun Kim:
Non-Invasive, Memory Access-Triggered Near-Data Processing for DNN Training Acceleration on GPUs. IEEE Access 12: 142651-142667 (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
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