AI system
LLM inference and serving, agentic AI pipelines, PEFT/LoRA fine-tuning, and Mixture-of-Experts model efficiency.
DONGGUK UNIVERSITY
Intelligent Systems
& Networking Lab.
동국대학교 시스템 소프트웨어 및 네트워크 연구실
We explore the synergy between system and network for AI, and AI for system and network. Our research targets faster, more efficient, and more reliable computing infrastructures from edge devices to cloud and datacenter-scale systems.
Recruiting We are looking for highly motivated undergraduate and graduate students! AI 시스템, 클라우드, 네트워크 연구에 관심이 있는 열정 많은 학생의 합류를 기대합니다!News
more- 🎉 One paper got accepted at EMNLP 2026 (main) (Top CS conference, BK 3).
- 🎓 Six undergraduate interns received their B.S. degrees. Congratulations!
- 🎉 Two papers got accepted at IEEE MASCOTS 2026 (Top CS conference, BK 2).
- 🏆 An undergraduate capstone design team advised by Prof. Yeonho Yoo received the Paper Award (장려상) at KCC 2026.
- 🎉 One paper got accepted at Scientific Reports (Q1 Journal).
- 🎉 One paper got accepted at Future Generation Computer Systems Journal (Top 10% Journal).
- 🏆 Sumin awarded at the 2025 Open Source Developer Competition.
Research
Explore ResearchOur research theme is System for AI — building the system software and networking infrastructure that makes AI faster, more efficient, and more reliable.
Cloud and Datacenter Networking System
Traffic splitting, programmable SDN, bandwidth isolation, and high-performance networking for cloud and AI workloads.
Edge Computing and IoT
IoT packet processing, edge service placement, efficient AI for constrained devices, and cloud-edge pipeline design.
Selected Publications
Browse Publications- Residual Sparsification via Output Importance for Compressing Mixture-of-Experts LLMs EMNLP 2026 (main)
- Accurate Simulation of Distributed Training Jobs with Network Contention Modeling IEEE MASCOTS 2026
- Prediction-based GPU Sharing for Distributed Training Future Generation Computer Systems Journal, 2026
- Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead MICCAI 2025
- Revisiting Traffic Splitting for Software Switch in Datacenter ACM SIGMETRICS 2025
- Intelligent Packet Processing for Performant Containers in IoT IEEE Internet of Things Journal, 2024
- Machine Learning-Based Prediction Models for Control Traffic in SDN Systems IEEE Transactions on Service Computing, 2023
Contact
Students interested in system software, networking, cloud/edge computing, distributed AI training, and AI-driven optimization are welcome to contact the lab.
View full contact & join us →Dept. of Computer Science and Artificial Intelligence, Dongguk University
Office: Bldg. P #621 · Lab: Bldg. P #T636
30, Pildong-ro 1-gil, Jung-gu, Seoul 04620