| 2026 | ASPLOS | A Cost-Effective Near-Storage Processing Solution for Offline Inference of Long-Context LLMs. | Hongsun Jang, Jaeyong Song, Changmin Shin, Si Ung Noh, Jaewon Jung, Jisung Park, Jinho Lee |
| 2026 | EuroSys | FlexiWalker: Extensible GPU Framework for Efficient Dynamic Random Walks with Runtime Adaptation. | Seongyeon Park, Jaeyong Song, Changmin Shin, Sukjin Kim, Junguk Hong, Jinho Lee |
| 2025 | HPCA | Piccolo: Large-Scale Graph Processing with Fine-Grained in-Memory Scatter-Gather. | Changmin Shin, Jaeyong Song, Hongsun Jang, Dogeun Kim, Jun Sung, Taehee Kwon, Jae Hyung Ju, Frank Liu, YeonKyu Choi, Jinho Lee |
| 2025 | MICRO | FALA: Locality-Aware PIM-Host Cooperation for Graph Processing with Fine-Grained Column Access. | Changmin Shin, Jaeyong Song, Seongmin Na, Jun Sung, Hongsun Jang, Jinho Lee |
| 2024 | CVPR | PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor. | Jaewon Jung, Hongsun Jang, Jaeyong Song, Jinho Lee |
| 2024 | DATE | Pipette: Automatic Fine-Grained Large Language Model Training Configurator for Real-World Clusters. | Jinkyu Yim, Jaeyong Song, Yerim Choi, Jaebeen Lee, Jaewon Jung, Hongsun Jang, Jinho Lee |
| 2024 | HPCA | Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System. | Hongsun Jang, Jaeyong Song, Jaewon Jung, Jaeyoung Park, Youngsok Kim, Jinho Lee |
| 2024 | PPoPP | AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping. | Seongyeon Park, Junguk Hong, Jaeyong Song, Hajin Kim, Youngsok Kim, Jinho Lee |
| 2023 | ASPLOS | Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression. | Jaeyong Song, Jinkyu Yim, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, Jinho Lee |
| 2023 | DAC | Fast Adversarial Training with Dynamic Batch-level Attack Control. | Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, Jinho Lee |
| 2023 | DATE | Pipe-BD: Pipelined Parallel Blockwise Distillation. | Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee |
| 2023 | HPCA | SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators. | Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee |