Intelligent Cloud Networking System Lab (ICNS Lab)
Intelligent Cloud Networking System Lab (ICNS Lab)
Kyung Hee University · Computer Science and Engineering
Professor
Prof. 허의남
Professor's page · publicationsAbout
허의남 교수 연구실(ICNS Lab)은 경희대 컴퓨터공학과 소속으로, 클라우드·엣지 분산 컴퓨팅과 가상화 기술을 연구한다. 가상화·컨테이너 기술과 블록체인 기반 차세대 컴퓨팅 환경, 클라우드 컨티뉴엄을 다루며 관련 연구센터를 운영한다.
Research keywords
Recent papers
- Enhancing battery anomaly detection via trend-reversal spectrograms and multi-modal cross-attentionNeweTransportation · Oct 1
- A Survey on Foundation Models for Personalized Federated IntelligenceACM Computing Surveys · Sep 8
- Energy-Aware Compression-Computation Co-Adaptation for Latency Minimization in Multi-User Semantic CommunicationPreprintarXiv (Cornell University) · Aug 13
From OpenAlex · papers whose author affiliation matches this university
Selected publications
- Active STAR-RIS Empowered Edge System for Enhanced Energy Efficiency and Task ManagementIEEE Transactions on Mobile Computing · 2026
- Robust Federated Learning With Heterogeneous Clients via Classifier Calibration and AlignmentIEEE Internet of Things Journal · 2026
- DART: A state-aware online co-scheduling runtime for data-parallel trainingFuture Generation Computer Systems · 2026
- DeepSeek-Inspired Exploration of RL-Based LLMs and Synergy with Wireless Networks: A SurveyACM Computing Surveys · 2026
- Federated Hybrid Training and Self-Adversarial Distillation: Towards Robust Edge NetworksIEEE Transactions on Network Science and Engineering · 2026
- ADPSL: Adaptive and privacy preserving dynamic split learning for lightweight transformer modelsJournal of Systems Architecture · 2026
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Statistical Inference Lab
KAIST · Graduate School of AI
Pivot-SD: Efficient Self-Distillation for Masked Diffusion Language ModelsPreprintarXiv (Cornell University) · Oct 2Shared topic: Topic Modeling
Changick Kim
KAIST · Graduate School of Green Growth and Sustainability
Where Identity Lives: Localized, Retain-Free Identity Unlearning in Multimodal Large Language ModelsPreprintarXiv (Cornell University) · Aug 31Shared topic: Privacy-Preserving Technologies in Data
High Performance and Intelligence Computing Lab (HPIC Lab)
Korea University · Electrical Engineering
P2Skill: Privacy Preserving Skill Distillation for Cloud-Local LLM Inference SystemsPreprintarXiv (Cornell University) · Aug 14Shared topic: Privacy-Preserving Technologies in Data
Other labs in this department
- Medical AI Lab
Kim Seong Tae
Medical AI / Medical Image Analysis (medical image segmentation, domain adaptation, trustworthy & explainable deep learning)
- KDST (KIST Data Science Team)
Kim Suhyun
Deep learning / AI: model compression & pruning, knowledge distillation, generative & diffusion models, AI safety
- Visual AI Lab
Kim Jung Uk
Computer Vision / Visual AI (audio-visual learning, sound source localization, monocular 3D object detection, incremental learning)
- Video Media Lab
Kim Hui Yong
Video/media coding and compression (learned image/video compression, video coding for machines, neural holographic video)
- Media Lab
Park Gwang Hoon
Video/Media Coding (Scalable Video Coding, HEVC, VVC, AV1, MPEG standards, point cloud compression, image/video stitching)
- Natural Language Processing Lab
Park Seong-Bae
Natural Language Processing (dialogue response generation, machine translation, question answering/generation, text summarization)