| 2026 | EuroSys | MTTM: Dynamic Fast Memory Partitioning with Bandwidth Optimization for Multi-tenant Cloud. | Changjun Lee, Sangjin Choi, Youngjin Kwon |
| 2025 | NAACL | 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 |
| 2023 | ICCAD | 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 |
| 2023 | USENIX | EnvPipe: Performance-preserving DNN Training Framework for Saving Energy. | Sangjin Choi, Inhoe Koo, Jeongseob Ahn, Myeongjae Jeon, Youngjin Kwon |
| 2022 | USENIX | Memory Harvesting in Multi-GPU Systems with Hierarchical Unified Virtual Memory. | Sangjin Choi, Taeksoo Kim, Jinwoo Jeong, Rachata Ausavarungnirun, Myeongjae Jeon, Youngjin Kwon, Jeongseob Ahn |
| 2002 | WSC | Manufacturing modeling methods: USE of GI/G/1 queuing approximations to set tactical parameters for the simulation of MRP systems. | Silvanus T. Enns, Sangjin Choi |