| 2025 | ICCAD | Mamba-X: An End-to-End Vision Mamba Accelerator for Edge Computing Devices. | Dongho Yoon, Gungyu Lee, Jaewon Chang, Yunjae Lee, Dongjae Lee, Minsoo Rhu |
| 2025 | ISCA | Debunking the CUDA Myth Towards GPU-based AI Systems: Evaluation of the Performance and Programmability of Intel's Gaudi NPU for AI Model Serving. | Yunjae Lee, Juntaek Lim, Jehyeon Bang, Eunyeong Cho, Huijong Jeong, Taesu Kim, Hyungjun Kim, Joonhyung Lee, Jinseop Im, Ranggi Hwang, Se Jung Kwon, Dongsoo Lee, Minsoo Rhu |
| 2024 | ISCA | PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models. | Yunjae Lee, Hyeseong Kim, Minsoo Rhu |
| 2022 | ISCA | SmartSAGE: training large-scale graph neural networks using in-storage processing architectures. | Yunjae Lee, Jinha Chung, Minsoo Rhu |
| 2021 | CCGRID | Competition-Based Adaptive Caching for Out-of-core Graph Processing. | Kihyeon Myung, Hwajung Kim, Yunjae Lee, Heon Young Yeom |
| 2021 | HPCA | Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training. | Youngeun Kwon, Yunjae Lee, Minsoo Rhu |
| 2020 | SAC | Memory efficient fork-based checkpointing mechanism for in-memory database systems. | Jiwoong Park, Yunjae Lee, Heon Young Yeom, Yongseok Son |
| 2019 | MICRO | TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning. | Youngeun Kwon, Yunjae Lee, Minsoo Rhu |
| 2019 | Middleware | Profiling Dynamic Data Access Patterns with Controlled Overhead and Quality. | Seongjae Park, Yunjae Lee, Heon Y. Yeom |