Publications

2026

  1. ASPLOS
    GS-Scale: Unlocking Large-Scale 3D Gaussian Splatting Training via Host Offloading
    Donghyun Lee, Dawoon Jeong, Jae W. Lee, and Hongil Yoon
    31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2026
    PDF Code

    2. 2025

    1. ICCV
      FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction
      Donghyun Lee, Dawoon Jeong, Jae W. Lee, and Hongil Yoon
      IEEE/CVF International Conference on Computer Vision (ICCV) 2025
      PDF Code Slides Talk
    2. HPCA
      FACIL: Flexible DRAM Address Mapping for SoC-PIM Cooperative On-device LLM Inference
      Seong Hoon Seo, Junghoon Kim, Donghyun Lee, Seonah Yoo, Seokwon Moon, Yeonhong Park, and Jae W. Lee
      31st IEEE International Symposium on High-Performance Computer Architecture (HPCA) 2025
      PDF

    2024

    1. ECCV
      Frugal 3D Point Cloud Model Training via Progressive Near Point Filtering and Fused Aggregation
      Donghyun Lee, Yejin Lee, Jae W. Lee, and Hongil Yoon
      European Conference on Computer Vision (ECCV) 2024
      PDF Code Slides Talk

    2023

    1. APSys
      Liquid: Mix-and-Match Multiple Image Formats to Balance DNN Train- ing Pipeline
      Woohyeon Baek, Jonghyun Bae, Donghyun Lee, Hyunwoong Bae, Yeonhong Park, and Jae W. Lee
      14th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys) 2023
      PDF
    2. AAAI
      Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud
      Yejin Lee, Donghyun Lee, JungUk Hong, Jae W. Lee, and Hongil Yoon
      37th AAAI Conference on Artificial Intelligence (AAAI) 2023
      PDF Code Slides