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Reinforcing AI and Network Lab (RAIN Lab)

Reinforcing AI and Network Lab (RAIN Lab)

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AI/ML 및 네트워킹에 관심 있는 학부 인턴·석박사 대학원생 모집.

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About

주창희 교수 연구실(RAIN Lab, Reinforcing AI and Network)은 고려대학교 컴퓨터학과 소속으로, AI와 네트워크의 결합을 연구하며 AI-네이티브 네트워크, 머신러닝, 로보틱스를 아우른다. 분산 시스템·엣지 컴퓨팅·위성 통신·데이터 스트리밍에 AI를 활용하는 네트워크 기술과, 머신 언러닝·강화학습·신경망 구조 탐색(NAS) 등을 다룬다.

Research keywords

RAIN Lab

Selected publications

  • HCF: Hierarchical Cascade Framework for Distributed Multi-Stage Image CompressionAAAI · 2026
  • DAG-NAS: An Explainable Neural Architecture Search Framework for Reinforcement LearningNeural Networks · 2026
  • Comparison of Decentralized and Centralized Update Paradigms for Distributed Remote EstimationIEEE/ACM Transactions on Networking (ToN) · 2024
  • Remote Estimation for Dynamic IoT Sources under Sublinear Communication CostsIEEE/ACM Transactions on Networking (ToN) · 2024
  • Online Service Request Duplicating for Vehicular ApplicationsIEEE Transactions on Mobile Computing (TMC) · 2023
  • Low-Complexity Learning for Dynamic Spectrum Access in Multi-User Multi-Channel NetworksIEEE Transactions on Mobile Computing (TMC) · 2021

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