LaLaRAND: Flexible Layer-by-Layer CPU/GPU Scheduling for Real-Time DNN Tasks. - Woosung Kang 002; Kilho Lee; Jinkyu Lee 001; Insik Shin; Hoon Sung Chwa (RTSS, 2021)

DNN-SAM: Split-and-Merge DNN Execution for Real-Time Object Detection. - Woosung Kang 002; Siwoo Chung; Jeremy Yuhyun Kim; Youngmoon Lee; Kilho Lee; Jinkyu Lee 001; Kang G. Shin; Hoon Sung Chwa (RTAS, 2022)

Paste-and-Cut: Collective Image Localization and Classification for Real-Time Multi-Camera Object Detection. - Young Eun Kang; Woosung Kang 002; Taehun Lee; Hoon Sung Chwa (ICTC, 2023)

RT-Swap: Addressing GPU Memory Bottlenecks for Real-Time Multi-DNN Inference. - Woosung Kang 002; Jinkyu Lee 001; Youngmoon Lee; Sangeun Oh; Kilho Lee; Hoon Sung Chwa (RTAS, 2024)

Mitigating Resource Contention for Responsive On-device Machine Learning Inferences. - Minsung Kim; Jihoon Lee; Seongjin Chou; Whisoo Chung; Inwoo Kim; Woosung Kang 002; Hyosu Kim; Sangeun Oh; Hoon Sung Chwa; Kilho Lee (ICCAD, 2025)

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

ZeroSwap: Minimizing Swap Overhead for Real-Time Multi-DNN Inference via SSD-based GPU Memory Extension. - Woosung Kang 002; Filippo Muzzini; Gianluca Brilli; Jong-Chan Kim; Jinkyu Lee 001; Hoon Sung Chwa (RTAS, 2026)