Sangjin Choi
sjchoi@casys.kaist.ac.kr
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Google Scholar
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CASYS Lab
About
I am a Ph.D. student advised by
Youngjin Kwon
. My research focuses on building efficient ML systems.
Pruning
Speculative Decoding
Sparse Attention
Energy Efficient Training
GPU Driver
Education
Sep 2021 - Current
Ph.D.
, School of Computing, KAIST
Sep 2019 - Aug 2021
M.S.
, School of Computing, KAIST
Mar 2015 - Aug 2019
B.S.
, School of Computing, KAIST
Experience
Mar 2026 - May 2026
Research Intern
, Systems and Networking Research Group
Microsoft Research Asia (Vancouver)
Jul 2025 - Jan 2026
Research Intern
, Systems and Networking Research Group
Microsoft Research Asia (Beijing)
Publications
MLSys '26
BEAM: Joint Resource–Power Optimization for Energy-Efficient LLM Inference under SLO Constraints
Hyunjae Lee,
Sangjin Choi
, Seungjae Lim, Youngjin Kwon
EuroSys '26
MTTM: Dynamic Fast Memory Partitioning with Bandwidth Optimization for Multi-tenant Cloud
Changjun Lee,
Sangjin Choi
, Youngjin Kwon
Findings of NAACL '25
Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding
Sukmin Cho,
Sangjin Choi
, Taeho Hwang, Jeongyeon Seo, Soyeong Jeong, Huije Lee, Hoyun Song, Jong C. Park, Youngjin Kwon
Paper
ICCAD '23
PRIMO: A Full-Stack Processing-in-DRAM Emulation Framework for Machine Learning Workloads
Jaehoon Heo, Yongwon Shin,
Sangjin Choi
, Sungwoong Yune, Jung-Hoon Kim, Hyojin Sung, Youngjin Kwon, Joo-Young Kim
Paper
USENIX ATC '23
EnvPipe: Performance-preserving DNN Training Framework for Saving Energy
Sangjin Choi
, Inhoe Koo, Jeongseob Ahn, Myeongjae Jeon, Youngjin Kwon
Paper
USENIX ATC '22
Memory Harvesting in Multi-GPU Systems with Hierarchical Unified Virtual Memory
Sangjin Choi*
, Taeksoo Kim*, Jinwoo Jeong, Rachata Ausavarungniurn, Myeongjae Jeon, Youngjin Kwon, Jeongseob Ahn (*equal contribution)
Paper