PPaperPicks

Eunhyeok Park

17 papers at tracked venues · 9 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

EMNLP ×4WACV ×3CVPR ×2NeurIPS ×2AAAI ×1ACL ×1ECCV ×1ICCV ×1ICML ×1VLDB ×1

Frequent coauthors

Changhun Lee
×7
Jungyu Jin
×5
Junhyuk So
×4
Juncheol Shin
×3
Seonggon Kim
×3
Younghyun Cho
×3
Jungwon Lee
×2
Hyunho Kook
×2
Byeongho Yu
×2
Seung-taek Woo
×2
Jungseul Ok
×2
Hyungjun Kim
×2

Papers

  1. DreamCatcher: Efficient Multi-Concept Customization via Representation Finetuning
    WACV 2026 ·
    Jungwon Lee
    ,
    Changhun Lee
    , Eunhyeok Park
  2. Stabilizing Direct Training of Spiking Neural Networks: Membrane Potential Initialization and Threshold-robust Surrogate Gradient
    WACV 2026 ·
    Hyunho Kook
    ,
    Byeongho Yu
    ,
    Jeong Min Oh
    , Eunhyeok Park
  3. AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models
    EMNLP 2025 ·
    Sangjun Lee
    ,
    Seung-taek Woo
    ,
    Jungyu Jin
    ,
    Changhun Lee
    , Eunhyeok Park
  4. Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse
    VLDB 2025 ·
    Jinwoo Hwang
    ,
    Daeun Kim
    ,
    Sangyeop Lee
    ,
    Yoonsung Kim
    ,
    Guseul Heo
    ,
    Hojoon Kim
    ,
    Yunseok Jeong
    ,
    Tadiwos Meaza
    , Eunhyeok Park,
    Jeongseob Ahn
    ,
    Jongse Park
  5. Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs
    EMNLP 2025 ·
    Sungjae Lee
    ,
    Hoyoung Kim
    ,
    Jeongyeon Hwang
    , Eunhyeok Park,
    Jungseul Ok
  6. GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
    NeurIPS 2025 ·
    Yeonjoon Jung
    ,
    Daehyun Ahn
    ,
    Hyungjun Kim
    ,
    Taesu Kim
    , Eunhyeok Park
  7. Grouped Speculative Decoding for Autoregressive Image Generation
    ICCV 2025 ·
    Junhyuk So
    ,
    Juncheol Shin
    ,
    Hyunho Kook
    , Eunhyeok Park
  8. HOT: Hadamard-based Optimized Training
    CVPR 2025 ·
    Seonggon Kim
    ,
    Juncheol Shin
    ,
    Seung-taek Woo
    , Eunhyeok Park
  9. Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking
    NeurIPS 2025 ·
    Junhyuk So
    ,
    Chiwoong Lee
    ,
    Shinyoung Lee
    ,
    Jungseul Ok
    , Eunhyeok Park
  10. Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation
    ICML 2025 ·
    Juncheol Shin
    ,
    Minsang Seok
    ,
    Seonggon Kim
    , Eunhyeok Park
  11. PCM : Picard Consistency Model for Fast Parallel Sampling of Diffusion Models
    CVPR 2025 ·
    Junhyuk So
    ,
    Jiwoong Shin
    ,
    Chaeyeon Jang
    , Eunhyeok Park
  12. PTQ4VM: Post-Training Quantization for Visual Mamba
    WACV 2025 ·
    Younghyun Cho
    ,
    Changhun Lee
    ,
    Seonggon Kim
    , Eunhyeok Park
  13. PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality
    EMNLP 2025 ·
    Byeongho Yu
    ,
    Changhun Lee
    ,
    Jungyu Jin
    , Eunhyeok Park
  14. SEAL: Scaling to Emphasize Attention for Long-Context Retrieval
    ACL 2025 ·
    Changhun Lee
    ,
    Minsang Seok
    ,
    Jungyu Jin
    ,
    Younghyun Cho
    , Eunhyeok Park
  15. FRDiff : Feature Reuse for Universal Training-Free Acceleration of Diffusion Models
    ECCV 2024 ·
    Junhyuk So
    ,
    Jungwon Lee
    , Eunhyeok Park
  16. OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models
    AAAI 2024 ·
    Changhun Lee
    ,
    Jungyu Jin
    ,
    Taesu Kim
    ,
    Hyungjun Kim
    , Eunhyeok Park
  17. QEFT: Quantization for Efficient Fine-Tuning of LLMs
    EMNLP 2024 ·
    Changhun Lee
    ,
    Jungyu Jin
    ,
    Younghyun Cho
    , Eunhyeok Park