ML for RT: Priority Assignment Using Machine Learning. - Seunghoon Lee 002; Hyeongboo Baek; Honguk Woo; Kang G. Shin; Jinkyu Lee 001 (RTAS, 2021)

Towards Flooring Material Classification Using Acoustic Signal from COTS Mobile Devices. - Junghoon Ha; Seunghoon Lee 002; Jinkyu Lee 001 (ICTC, 2022)

RT-MOT: Confidence-Aware Real-Time Scheduling Framework for Multi-Object Tracking Tasks. - Donghwa Kang; Seunghoon Lee 002; Hoon Sung Chwa; Seung-Hwan Bae; Chang Mook Kang; Jinkyu Lee 001; Hyeongboo Baek (RTSS, 2022)

Response Time Analysis for Real-Time Global Gang Scheduling. - Seongtae Lee; Seunghoon Lee 002; Jinkyu Lee 001 (RTSS, 2022)

RT-Blockchain: Achieving Time-Predictable Transactions. - Seunghoon Lee 002; Sukmin Kang; Seungyeon Cho; Hyunwoo Koo; Sungjae Hwang; Jinkyu Lee 001 (RTSS, 2023)

Mixed-Critical Framework for ROS2. - Seungyeon Cho; Seunghoon Lee 002; Jinkyu Lee 001 (ICTC, 2024)

Batch-MOT: Batch-Enabled Real-Time Scheduling for Multiobject Tracking Tasks. - Donghwa Kang; Seunghoon Lee 002; Cheol-Ho Hong; Jinkyu Lee 001; Hyeongboo Baek (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

A Graph Attention Network Approach to Partitioned Scheduling in Real-Time Systems. - Seunghoon Lee 002; Jinkyu Lee 001 (IEEE Embed. Syst. Lett., 2024)

Timing guarantees for inference of AI models in embedded systems. - Seunghoon Lee 002; Woosung Kang; Marko Bertogna; Hoon Sung Chwa; Jinkyu Lee 001 (Real Time Syst., 2025)