CNN-Based Mask-Pose Fusion for Detecting Specific Persons on Heterogeneous Embedded Systems. - Jeongjun Lee; Jihoon Jang 001; Jinhong Lee; Dayoung Chun; Hyun Kim 001 (IEEE Access, 2021)

Performance Analysis of a Phase-Change Memory System on Various CNN Inference Workloads. - Jihoon Jang 001; Hyun Kim 001; Hyokeun Lee (ISOCC, 2022)

Characterizing Memory Access Patterns of Various Convolutional Neural Networks for Utilizing Processing-in-Memory. - Jihoon Jang 001; Hyun Kim 001; Hyokeun Lee (ICEIC, 2023)

A Spatio-Temporal Switchable Data Prefetcher for Convolutional Neural Networks. - Jihoon Jang 001; Hyun Kim 001; Hyokeun Lee (ISOCC, 2023)

An Architecture-Level Framework for Enabling Processing-Using-Memory Simulations in Deep Neural Networks. - Inseong Hwang; Jihoon Jang 001; Hyun Kim 001 (ICEIC, 2024)

EDeN: Enabling Low-Power CNN Inference on Edge Devices Using Prefetcher-assisted NVM Systems. - Jihoon Jang 001; Hyokeun Lee; Hyun Kim 001 (ISLPED, 2024)

Optimizing Deep Neural Network Precision for Processing-in-Memory: A Memory Bottleneck Perspective. - Inseong Hwang; Jihoon Jang 001; Hyun Kim 001 (ICEIC, 2025)

Evaluation of 2T0C DRAM-Based Processing-in-Memory Systems for Accelerating Deep Neural Network Models. - Jihoon Jang 001; Inseong Hwang; Hyun Kim 001 (ICEIC, 2025)

XNC: XOR and NOT-Based Lossless Compression for Optimizing Unquantized Embedding Layers in Large Language Models. - Junghyeok Lee; Jihoon Jang 001; Hyun Kim 001 (ISCAS, 2025)