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Youngjae Kim

4 papers hereh-index 210 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DC2
  • cs.AI1
  • cs.LG1
same name
  • Youngjae Kim — 4 papers, h 3
  • Youngjae Kim — 3 papers, h 2
  • Youngjae Kim — 2 papers, h 2
  • Youngjae Kim — 1 paper, h 4
  • Youngjae Kim — 1 paper, h 5
  • Youngjae Kim — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.DC2026

DUAL-BLADE: Dual-Path NVMe-Direct KV-Cache Offloading for Edge LLM Inference

Bodon Jeong, Hongsu Byun, Youngjae Kim +4

The increasing deployment of Large Language Model (LLM) inference on edge AI systems demands efficient execution under tight memory budgets. A key challenge arises from Key-Value (…

cs.DC2026

AFLL: Real-time Load Stabilization for MMO Game Servers Based on Circular Causality Learning

Shinsuk Kang, Youngjae Kim

Massively Multiplayer Online (MMO) game servers must handle thousands of simultaneous players while maintaining sub-100ms response times. When server load exceeds capacity, traditi…

cs.LG2025

Cost-Efficient LLM Serving in the Cloud: VM Selection with KV Cache Offloading

Kihyun Kim, Jinwoo Kim, Hyunsun Chung +3

LLM inference is essential for applications like text summarization, translation, and data analysis, but the high cost of GPU instances from Cloud Service Providers (CSPs) like AWS…

cs.AI2025

Shared Disk KV Cache Management for Efficient Multi-Instance Inference in RAG-Powered LLMs

Hyungwoo Lee, Kihyun Kim, Jinwoo Kim +5

Recent large language models (LLMs) face increasing inference latency as input context length and model size continue to grow. In particular, the retrieval-augmented generation (RA…

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