AISys Lab. ECE, Seoul National University

Search for Jaewon Jung's papers on the Publications page

I am a Ph.D student in the Department of Electrical and Computer Engineering at Seoul National University. My research interests are adversarial robustness and distributed learning. I enjoy boogaloo dance as a hobby.


Publications

A Cost-Effective Near-Storage Processing Solution for Offline Inference of Long-Context LLMs
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
Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)   ·   Mar 2026
GraNNDis: Fast Distributed Graph Neural Network Training Framework for Multi-Server Clusters
GraNNDis: Fast Distributed Graph Neural Network Training Framework for Multi-Server Clusters
Jaeyong Song, Hongsun Jang, Hunseong Lim, Jaewon Jung, Youngsok Kim, Jinho Lee
The International Conference on Parallel Architectures and Compilation Techniques (PACT)   ·   Oct 2024
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor
Jaewon Jung, Hongsun Jang, Jaeyong Song, Jinho Lee
Computer Vision and Pattern Recognition Conference (CVPR)   ·   Mar 2024
Pipette: Automatic Fine-Grained Large Language Model Training Configurator for Real-World Clusters
Pipette: Automatic Fine-Grained Large Language Model Training Configurator for Real-World Clusters
Jinkyu Yim1, Jaeyong Song1, Yerim Choi, Jaebeen Lee, Jaewon Jung, Hongsun Jang, Jinho Lee
Design, Automation and Test in Europe Conference (DATE)   ·   Mar 2024
Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System
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
Best Paper Award-Honorable Mention! International Symposium on High-Performance Computer Architecture (HPCA)   ·   Mar 2024
Pipe-BD: Pipelined Parallel Blockwise Distillation
Pipe-BD: Pipelined Parallel Blockwise Distillation
Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)   ·   Apr 2023
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression
Jaeyong Song1, Jinkyu Yim1, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, Jinho Lee
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2   ·   Jan 2023
Fast Adversarial Training with Dynamic Batch-level Attack Control
Fast Adversarial Training with Dynamic Batch-level Attack Control
Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, Jinho Lee
Design Automation Conference (DAC)   ·   Jul 2023

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