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Sangheon Pack

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#large language models Book Open access Oct 2026

ns3-GenAI: Integrating Large Language Models with ns3 for AI-Native Network Simulations

Existing ns3/AI bridges target numeric reinforcement learning (RL) pipelines and cannot handle the text-centric prompt/response exchange, structured output validation, and multi-node orchestration that large language models (LLMs) require. We introduce ns3-GenAI, an open framework that augments the ns3 shared-memory in...

Su-Bin Han, Junkyu Hong, Sangheon Pack · Proceedings of the 2026 Inte... · 0 citations

Book Open access Aug 2026

POSTER: Coherence Time-Aware Predictive Filtering for Entanglement Verification in Hybrid Quantum-Classical Networks

In hybrid quantum-classical networks, entanglement becomes usable only if classical verification messages arrive in time; yet they share links with ordinary traffic, so queuing delay may render the associated entanglement unusable. We propose QPFD, a coherence time-aware predictive filtering framework that estimates ar...

Jihoon Lim, Junkyu Hong, H. Kim et al. · Conference on Applications,... · 0 citations

2026

Traffic- and Multi-Tenancy-Aware In-Network Aggregation Placement for Distributed Machine Learning

Distributed machine learning is an effective method to alleviate the intensive computation costs of training; however, it suffers from network bottlenecks while collecting local results. The recent advent of programmable data planes has opened a new avenue, in-network aggregation, which executes gradient aggregations i...

H. Kim, Hochan Lee, Chanbin Bae et al. · IEEE Transactions on Network... · 0 citations