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 (CODES+ISSS, 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 (DATE, 2015)

Locality-aware vertex scheduling for GPU-based graph computation. - Hyunsun Park; Junwhan Ahn; Eunhyeok Park; Sungjoo Yoo (VLSI-SoC, 2015)

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 (A-SSCC, 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 (ICLR (Poster), 2016)

Weighted-Entropy-Based Quantization for Deep Neural Networks. - Eunhyeok Park; Junwhan Ahn; Sungjoo Yoo (CVPR, 2017)

Value-Aware Quantization for Training and Inference of Neural Networks. - Eunhyeok Park; Sungjoo Yoo; Peter Vajda (ECCV (4), 2018)

Energy-Efficient Neural Network Accelerator Based on Outlier-Aware Low-Precision Computation. - Eunhyeok Park; Dongyoung Kim; Sungjoo Yoo (ISCA, 2018)

Precision Highway for Ultra Low-Precision Quantization. - Eunhyeok Park; Dongyoung Kim; Sungjoo Yoo; Peter Vajda (CoRR, 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)

Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss. - Hyunsu Kim; Ho Young Jhoo; Eunhyeok Park; Sungjoo Yoo (ICCV, 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)

PROFIT: A Novel Training Method for sub-4-bit MobileNet Models. - Eunhyeok Park; Sungjoo Yoo (ECCV (6), 2020)

MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation. - Sung Min Cho; Eunhyeok Park; Sungjoo Yoo (RecSys, 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)

Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation. - Hyunyoung Jung 001; Eunhyeok Park; Sungjoo Yoo (ICCV, 2021)

FPGA Prototyping of Systolic Array-based Accelerator for Low-Precision Inference of Deep Neural Networks. - Soobeom Kim; Seunghwan Cho; Eunhyeok Park; Sungjoo Yoo (RSP, 2021)

Near-Data Processing in Memory Expander for DNN Acceleration on GPUs. - Hyungkyu Ham; Hyunuk Cho; Minjae Kim 001; Jueon Park; Jeongmin Hong; Hyojin Sung; Eunhyeok Park; Euicheol Lim; Gwangsun Kim (IEEE Comput. Archit. Lett., 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)

One-shot tuner for deep learning compilers. - Jaehun Ryu; Eunhyeok Park; Hyojin Sung (CC, 2022)

BASQ: Branch-wise Activation-clipping Search Quantization for Sub-4-bit Neural Networks. - Han-Byul Kim; Eunhyeok Park; Sungjoo Yoo (ECCV (12), 2022)

Symmetry Regularization and Saturating Nonlinearity for Robust Quantization. - Sein Park; Yeongsang Jang; Eunhyeok Park (ECCV (11), 2022)

Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking. - Ilchae Jung; Minji Kim 002; Eunhyeok Park; Bohyung Han (IJCAI, 2022)

NIPQ: Noise Injection Pseudo Quantization for Automated DNN Optimization. - Sein Park; Junhyuk So; Juncheol Shin; Eunhyeok Park (CoRR, 2022)

Multi-scale Local Implicit Keypoint Descriptor for Keypoint Matching. - JongMin Lee; Eunhyeok Park; Sungjoo Yoo (CVPR Workshops, 2023)

NIPQ: Noise proxy-based Integrated Pseudo-Quantization. - Juncheol Shin; Junhyuk So; Sein Park; Seungyeop Kang; Sungjoo Yoo; Eunhyeok Park (CVPR, 2023)

INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold. - Changhun Lee; Hyungjun Kim; Eunhyeok Park; Jae-Joon Kim (ICCV, 2023)

Temporal Dynamic Quantization for Diffusion Models. - Junhyuk So; Jungwon Lee; Daehyun Ahn; Hyungjun Kim; Eunhyeok Park (NeurIPS, 2023)

Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation. - Daehyun Ahn; Hyungjun Kim; Taesu Kim; Eunhyeok Park; Jae-Joon Kim (WACV, 2023)

Fast Performance Prediction for Efficient Distributed DNN Training. - Yugyoung Yun; Eunhyeok Park (IEEE Comput. Archit. Lett., 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)

FRDiff: Feature Reuse for Exquisite Zero-shot Acceleration of Diffusion Models. - Junhyuk So; Jungwon Lee; Eunhyeok Park (CoRR, 2023)

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 (AAAI, 2024)

Diffusion Model Compression for Image-to-Image Translation. - Geonung Kim; Beomsu Kim; Eunhyeok Park; Sunghyun Cho (ACCV (5), 2024)

FRDiff : Feature Reuse for Universal Training-Free Acceleration of Diffusion Models. - Junhyuk So; Jungwon Lee; Eunhyeok Park (ECCV (73), 2024)

QEFT: Quantization for Efficient Fine-Tuning of LLMs. - Changhun Lee; Jungyu Jin; Younghyun Cho; Eunhyeok Park (EMNLP (Findings), 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 (MICRO, 2024)

Non-Invasive, Memory Access-Triggered Near-Data Processing for DNN Training Acceleration on GPUs. - Hyungkyu Ham; Hyunuk Cho; Minjae Kim 001; Jueon Park; Jeongmin Hong; Hyojin Sung; Eunhyeok Park; Euicheol Lim; Gwangsun Kim (IEEE Access, 2024)

Task-Oriented Diffusion Model Compression. - Geonung Kim; Beomsu Kim; Eunhyeok Park; Sunghyun Cho (CoRR, 2024)

HLQ: Fast and Efficient Backpropagation via Hadamard Low-rank Quantization. - Seonggon Kim; Eunhyeok Park (CoRR, 2024)

SEAL: Scaling to Emphasize Attention for Long-Context Retrieval. - Changhun Lee; Minsang Seok; Jungyu Jin; Younghyun Cho; Eunhyeok Park (ACL (1), 2025)

HOT: Hadamard-based Optimized Training. - Seonggon Kim; Juncheol Shin; Seung-taek Woo; Eunhyeok Park (CVPR, 2025)

PCM : Picard Consistency Model for Fast Parallel Sampling of Diffusion Models. - Junhyuk So; Jiwoong Shin; Chaeyeon Jang; Eunhyeok Park (CVPR, 2025)

PTQ4VM: Post-Training Quantization for Visual Mamba. - Younghyun Cho; Changhun Lee; Seonggon Kim; Eunhyeok Park (WACV, 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)

SEAL: Scaling to Emphasize Attention for Long-Context Retrieval. - Changhun Lee; Jungyu Jin; Younghyun Cho; Eunhyeok Park (CoRR, 2025)

GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning. - Yeonjoon Jung; Daehyun Ahn; Hyungjun Kim; Taesu Kim; Eunhyeok Park (CoRR, 2025)

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation. - Juncheol Shin; Minsang Seok; Seonggon Kim; Eunhyeok Park (CoRR, 2025)

Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs. - Sungjae Lee; Hoyoung Kim; Jeongyeon Hwang; Eunhyeok Park; Jungseul Ok (CoRR, 2025)

The Oversmoothing Fallacy: A Misguided Narrative in GNN Research. - MoonJeong Park; Sunghyun Choi 005; Jaeseung Heo; Eunhyeok Park; Dongwoo Kim (CoRR, 2025)

Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse. - Jinwoo Hwang; Daeun Kim; Sangyeop Lee; Yoonsung Kim; Guseul Heo; Hojoon Kim; Yunseok Jeong; Tadiwos Meaza; Eunhyeok Park; Jeongseob Ahn; Jongse Park (CoRR, 2025)

Grouped Speculative Decoding for Autoregressive Image Generation. - Junhyuk So; Juncheol Shin; Hyunho Kook; Eunhyeok Park (CoRR, 2025)