Development of Bio-Signal Based Continuous Intensity Wearable Input Device. - Jinuk Kim; Jihye Kwon; Subin Im; Seongyoon Lee; Jaehyo Kim (FCC, 2014)

Multicore scheduling of parallel real-time tasks with multiple parallelization options. - Jihye Kwon; Kang-Wook Kim 002; Sangyoun Paik; Jihwa Lee; Chang-Gun Lee (RTAS, 2015)

A Learning-Based Recommender System for Autotuning Design Flows of Industrial High-Performance Processors. - Jihye Kwon; Matthew M. Ziegler; Luca P. Carloni (DAC, 2019)

Teaching Heterogeneous Computing with System-Level Design Methods. - Luca P. Carloni; Emilio G. Cota; Giuseppe Di Guglielmo; Davide Giri; Jihye Kwon; Paolo Mantovani; Luca Piccolboni; Michele Petracca (WCAE@ISCA, 2019)

Transfer Learning for Design-Space Exploration with High-Level Synthesis. - Jihye Kwon; Luca P. Carloni (MLCAD, 2020)

Silicon Photonics Codesign for Deep Learning. - Qixiang Cheng; Jihye Kwon; Madeleine Glick; Meisam Bahadori; Luca P. Carloni; Keren Bergman (Proc. IEEE, 2020)

Leveraging Prior Knowledge for Effective Design-Space Exploration in High-Level Synthesis. - Lorenzo Ferretti; Jihye Kwon; Giovanni Ansaloni; Giuseppe Di Guglielmo; Luca P. Carloni; Laura Pozzi 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Online and Offline Machine Learning for Industrial Design Flow Tuning: (Invited - ICCAD Special Session Paper). - Matthew M. Ziegler; Jihye Kwon; Hung-Yi Liu; Luca P. Carloni (ICCAD, 2021)

Cohmeleon: Learning-Based Orchestration of Accelerator Coherence in Heterogeneous SoCs. - Joseph Zuckerman; Davide Giri; Jihye Kwon; Paolo Mantovani; Luca P. Carloni (MICRO, 2021)

DB4HLS: A Database of High-Level Synthesis Design Space Explorations. - Lorenzo Ferretti; Jihye Kwon; Giovanni Ansaloni; Giuseppe Di Guglielmo; Luca P. Carloni; Laura Pozzi 001 (IEEE Embed. Syst. Lett., 2021)

Machine Learning for AI-Augmented Design Space Exploration of Computer Systems - Jihye Kwon (2022)

On Ideal Secret-Sharing Schemes for k-homogeneous access structures. - Younjin Kim; Jihye Kwon; Hyang-Sook Lee (CoRR, 2023)