GVTS: Global Virtual Time Fair Scheduling to Support Strict Fairness on Many Cores. - Changdae Kim; Seungbeom Choi; Jaehyuk Huh 001 (IEEE Trans. Parallel Distributed Syst., 2019)

Multi-model Machine Learning Inference Serving with GPU Spatial Partitioning. - Seungbeom Choi; Sunho Lee 002; Yeonjae Kim; Jongse Park; Youngjin Kwon; Jaehyuk Huh 001 (CoRR, 2021)

Serving Heterogeneous Machine Learning Models on Multi-GPU Servers with Spatio-Temporal Sharing. - Seungbeom Choi; Sunho Lee 002; Yeonjae Kim; Jongse Park; Youngjin Kwon; Jaehyuk Huh 001 (USENIX ATC, 2022)

Driver Status Monitoring System with Body Channel Communication Technique Using Conductive Thread Electrodes. - Beomjin Yuk; Byeongseol Kim; Soohyun Yoon; Seungbeom Choi; Joonsung Bae (IEICE Trans. Commun., 2022)

ELIS: Efficient LLM Iterative Scheduling System with Response Length Predictor. - Seungbeom Choi; Jeonghoe Goo; Eunjoo Jeon; Mingyu Yang; Minsung Jang (CoRR, 2025)

FireQ: Fast INT4-FP8 Kernel and RoPE-aware Quantization for LLM Inference Acceleration. - Daehyeon Baek; Jieun Choi; Jimyoung Son; Kyungmin Bin; Seungbeom Choi; Kihyo Moon; Minsung Jang; Hyojung Lee (CoRR, 2025)