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

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

ArXiv

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

Top Conf. AI/ML

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

Top Conf. AI/ML Syst. SW

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

Top Conf. Syst. SW Arch. AI/ML

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

Paper

ArXiv

GitHub

Top Conf. AI/ML Syst. SW

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

ArXiv

Paper

Artifact

Top Conf. AI/ML Syst. SW

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

Top Conf. AI/ML

Education

Seoul National University (September 2023 - Present)
- Ph.D student in Electrical and Computer Engineering
Yonsei University (September 2021 - August 2023)
- Master of Artificial Intelligence
Korea University (March 2017 - February 2021)
- Bachelor of Economics in Statistics
- Bachelor of Financial Engineering

Experience

CJ Logistics (June 2021 - July 2021)
- Internship
- Job : IT strategy
Bucketplace, Co., Ltd (December 2020 - June 2021)
- Full-time Data Analyst
Electronics and Telecommunications Research Institute (July 2020 - August 2020)
- Research Trainee
- TM/TDP : Correlation analysis between the number of mobile stations and traffic volume and prediction of the number of subscribers and traffic volume.
MINDs and company (December 2019 - March 2020)
- Intern
- Project : Automatic payment review classification for insurance claims.
Republic of Korea Air Force (March 2017 - February 2019)
- 2 years of Compulsory Military Service. Served as a sergeant.

Awards and Honors

Yulchon AI Star Scholarships ($8,000) (September 2024)
- Youlchon Foundation & SNU AI Institute
Best Paper Award Honorable Mention (March 2024)
- Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System (HPCA’24)
The 30th Samsung Humantech Paper Award (February 2024)
- Encouragement prize
LG Display AI & Big Data Competition (December 2022)
- Excellence prize
- Hosted by LG Display and Yonsei university
2021 Data Creator Camp (October 2021)
- Excellence prize
- Hosted by National Information Society Agency (NIA)

Teaching Experience

Programming Methodology (430.211)
- Teaching Assistant, Spring 2023
- Teaching Assistant, Spring 2024

Email : id@snu.ac.kr
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- where CONCATENATE(ab,cd)=abcd