Author

Hwamin Lee

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Open access Sep 2026

Machine learning-based early risk stratification for pulmonary thromboembolism in critically ill patients undergoing chest CT: a retrospective cohort study using CT-confirmed outcomes

Pulmonary thromboembolism is a preventable cause of death in critically ill patients, and thromboprophylaxis decisions in the intensive care unit are made under diagnostic uncertainty. Risk scores derived from general inpatients discriminate poorly in intensive care. We developed and internally validated a machin...

Jeonghwan Kim, Inyong Jeong, Se-Jin Ahn et al. · BMC Medical Informatics and... · 0 citations

Conference Jul 2026

AnchorDL: Dual-Locality-based Scheduling for Serverless Inference Workflows

Serverless computing has emerged as an attractive deployment model for deep learning model inference workflows, enabling elastic scaling and fine-grained resource billing across function instances. However, scheduling in this setting introduces a competing-objective challenge: placement decisions simultaneously govern...

Min Chang Kim, Hyungjun Kim, Hokun Park et al. · IEEE International Conferenc... · 0 citations

Conference Jul 2026

BYSTANDER: State-Aware End-to-End Latency Prediction for Heterogeneous LLM Inference Scheduling

Large Language Model (LLM) inference services increasingly rely on heterogeneous GPU clusters to balance cost and performance. However, request routing in such environments is challenging because schedulers must account for hardware heterogeneity, dynamic workload characteristics, and bursty arrivals. Existing approach...

Minjae Jung, Hyungjun Kim, Hokun Park et al. · IEEE International Conferenc... · 0 citations