Reducing distraction of smartwatch users with deep learning. - Jemin Lee; Jinse Kwon; Hyungshin Kim (MobileHCI Adjunct, 2016)

Reducing Smartwatch Users' Distraction with Convolutional Neural Network. - Jemin Lee; Jinse Kwon; Hyungshin Kim (Mob. Inf. Syst., 2018)

Accelerating Colorizer of Shaded Image for Autonomous Driving in Resource-Constrained SoC. - Donghee Ha; Jinse Kwon; Hyungshin Kim (MobiSys, 2019)

A Comprehensive Evaluation of Quantized Instruction-Tuned Large Language Models: An Experimental Analysis up to 405B. - Jemin Lee; Sihyeong Park; Jinse Kwon; Jihun Oh; Yongin Kwon (CoRR, 2024)

ML2Tuner: Efficient Code Tuning via Multi-Level Machine Learning Models. - JooHyoung Cha; Munyoung Lee; Jinse Kwon; Jubin Lee; Jemin Lee; Yongin Kwon (CoRR, 2024)

Pipelining of a Mobile SoC and an External NPU for Accelerating CNN Inference. - Jinse Kwon; Jemin Lee; Hyungshin Kim (IEEE Embed. Syst. Lett., 2024)

Multi-level Machine Learning-Guided Autotuning for Efficient Code Generation on a Deep Learning Accelerator. - JooHyoung Cha; Munyoung Lee; Jinse Kwon; Jemin Lee; Yongin Kwon (LCTES, 2025)