Automating Context-Based Access Pattern Hint Injection for System Performance and Swap Storage Durability. - Seongjae Park; Yunjae Lee; Moonsub Kim; Heon Y. Yeom (HotStorage, 2019)

TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning. - Youngeun Kwon; Yunjae Lee; Minsoo Rhu (MICRO, 2019)

Profiling Dynamic Data Access Patterns with Controlled Overhead and Quality. - Seongjae Park; Yunjae Lee; Heon Y. Yeom (Middleware Industry, 2019)

Profiling Dynamic Data Access Patterns with Bounded Overhead and Accuracy. - Seongjae Park; Yunjae Lee; Yoonhee Kim; Heon Y. Yeom (FAS*W@SASO/ICAC, 2019)

An adaptive page replacement scheme for scientific applications. - Yunjae Lee; Heon Y. Yeom; Hyuck Han (ACSOS Companion, 2020)

Memory efficient fork-based checkpointing mechanism for in-memory database systems. - Jiwoong Park; Yunjae Lee; Heon Young Yeom; Yongseok Son (SAC, 2020)

Lightweight memory tracing for hot data identification. - Yunjae Lee; Yoonhee Kim; Heon Y. Yeom (Clust. Comput., 2020)

Competition-Based Adaptive Caching for Out-of-core Graph Processing. - Kihyeon Myung; Hwajung Kim; Yunjae Lee; Heon Young Yeom (CCGRID, 2021)

Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training. - Youngeun Kwon; Yunjae Lee; Minsoo Rhu (HPCA, 2021)

Understanding the Implication of Non-Volatile Memory for Large-Scale Graph Neural Network Training. - Yunjae Lee; Youngeun Kwon; Minsoo Rhu (IEEE Comput. Archit. Lett., 2021)

SmartSAGE: training large-scale graph neural networks using in-storage processing architectures. - Yunjae Lee; Jinha Chung; Minsoo Rhu (ISCA, 2022)

APR: adaptive page replacement scheme for scientific applications. - Yunjae Lee; Heon Y. Yeom; Hyuck Han (Clust. Comput., 2023)

Context Preserving Encryption by Latent Reconstruction. - Yunjae Lee (ICPRAI (2), 2024)

PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models. - Yunjae Lee; Hyeseong Kim; Minsoo Rhu (ISCA, 2024)

FPGA-Accelerated Data Preprocessing for Personalized Recommendation Systems. - Hyeseong Kim; Yunjae Lee; Minsoo Rhu (IEEE Comput. Archit. Lett., 2024)

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; et al. (ISCA, 2025)

A Characterization of Generative Recommendation Models: Study of Hierarchical Sequential Transduction Unit. - Taehun Kim; Yunjae Lee; Juntaek Lim; Minsoo Rhu (IEEE Comput. Archit. Lett., 2025)

Characterization and Analysis of the 3D Gaussian Splatting Rendering Pipeline. - Jiwon Lee; Yunjae Lee; Youngeun Kwon; Minsoo Rhu (IEEE Comput. Archit. Lett., 2025)

Debunking the CUDA Myth Towards GPU-based AI Systems. - 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; et al. (CoRR, 2025)