Dongguk University iSN LAB
Yeonho Yoo

DONGGUK UNIVERSITY

Yeonho Yoo (유연호)

Assistant professor

Prof. Yeonho Yoo leads the Intelligent Systems & Networking Lab at Dongguk University. His research focuses on system software, networking, and AI infrastructure for scalable and efficient computing systems.

Research Interests

  • AI system software and distributed training infrastructure
  • Network system software, SDN, and datacenter networking
  • Cloud, edge, and IoT system optimization
  • Learning-based resource prediction and orchestration

Publications

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  1. 2026AI system software

    Prediction-based GPU Sharing for Distributed Training

    Changyong Shin, Younghun Go, Yeonho Yoo, Jinwoo Jeong, Jaehyun Hwang, Gyeongsik Yang, Chuck Yoo

    Future Generation Computer Systems Journal, 2026.02 [SCI Q1]

  2. 2025System software applications

    Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead

    Junseok Lee, Yeonho Yoo†, Jinkyu Kim, Dosun Lim, Gyeongsik Yang, Chuck Yoo

    The 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2025)

  3. 2025Network system software

    Revisiting Traffic Splitting for Software Switch in Datacenter

    Yeonho Yoo, Gyeongsik Yang, Changyong Shin, Hwiju Cho, Wonmi Choi, Zhixiong Niu, Chuck Yoo

    ACM SIGMETRICS 2025 / Proc. ACM Meas. Anal. Comput. Syst. 9, 2, Article 39

  4. 2024System software applications

    Prediction of Permissioned Blockchain Performance for Resource Scaling Configurations

    Seungwoo Jung, Yeonho Yoo*, Gyeongsik Yang, Chuck Yoo

    ICT Express, 2024.12 [SCI Q1]

  5. 2024Network system software

    Intelligent Packet Processing for Performant Containers in IoT

    Wonmi Choi, Yeonho Yoo*, Kyungwoon Lee, Zhixiong Niu, Peng Cheng, Yongqiang Xiong, Gyeongsik Yang*, Chuck Yoo

    IEEE Internet of Things Journal, 2024.12 [SCI Q1]

  6. 2024System software applications

    Predictive Placement of Geo-distributed Blockchain Nodes for Performance Guarantee

    Junseok Lee*, Yeonho Yoo*, Chuck Yoo, Gyeongsik Yang

    IEEE 17th International Conference on Cloud Computing (CLOUD 2024)

  7. 2024AI system software

    Harmonia: Accurate Federated Learning with All-Inclusive Dataset

    Wonmi Choi, Juyoung Ahn, Yeonho Yoo, Chuck Yoo, Gyeongsik Yang

    IEEE 17th International Conference on Cloud Computing (CLOUD 2024)

  8. 2023Network system software

    Machine Learning-Based Prediction Models for Control Traffic in SDN Systems

    Yeonho Yoo*, Gyeongsik Yang*, Changyong Shin, Junseok Lee, Chuck Yoo

    IEEE Transactions on Service Computing (TSC 2023) [SCI Q1]

  9. 2023Network system software

    SegaNet: An Advanced IoT Cloud Gateway for Performant and Priority-Oriented Message Delivery

    Yeonho Yoo, Zhixiong Niu, Chuck Yoo, Peng Cheng, Yongqiang Xiong

    7th Asia-Pacific Workshop on Networking (APNET 2023)

  10. 2023AI system software

    Selective Preemption of Distributed Deep Learning Training

    Younghun Go*, Changyong Shin*, Jeunghwan Lee, Yeonho Yoo, Gyeongsik Yang, Chuck Yoo

    IEEE 16th International Conference on Cloud Computing (CLOUD 2023)

  11. 2023Network system software

    Control Channel Isolation in SDN Virtualization: A Machine Learning Approach

    Yeonho Yoo, Gyeongsik Yang, Changyong Shin, Jeunghwan Lee, Chuck Yoo

    IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023)

  12. 2023Network system software

    TeaVisor: network hypervisor for bandwidth isolation in SDN-NV

    Yeonho Yoo, Gyeongsik Yang, Jeunghwan Lee, Changyong Shin, Hoseok Kim, Chuck Yoo

    IEEE Transactions on Cloud Computing (TCC 2023) [SCI Q1]

  13. 2022AI system software

    Xonar: Profiling-based job orderer for distributed deep learning

    Changyong Shin, Gyeongsik Yang, Yeonho Yoo, Jeunghwan Lee, Chuck Yoo

    IEEE 15th International Conference on Cloud Computing (CLOUD 2022)

  14. 2022AI system software

    Prediction of the resource consumption of distributed deep learning systems

    Gyeongsik Yang, Changyong Shin, Jeunghwan Lee, Yeonho Yoo, Chuck Yoo

    Proceedings of the ACM on Measurement and Analysis of Computing Systems (SIGMETRICS 2022)

  15. 2021Network system software

    A case for SDN-based network virtualization

    Gyeongsik Yang, Changyong Shin, Yeonho Yoo, Chuck Yoo

    29th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2021)

  16. 2021Network system software

    Accurate and efficient monitoring for virtualized SDN in clouds

    Gyeongsik Yang, Yeonho Yoo, Minkoo Kang, Heesang Jin, Chuck Yoo

    IEEE Transactions on Cloud Computing (TCC 2021) [SCI Q1]

  17. 2021Network system software

    Bandwidth isolation guarantee for SDN virtual networks

    Gyeongsik Yang, Yeonho Yoo, Minkoo Kang, Heesang Jin, Chuck Yoo

    IEEE Conference on Computer Communications (INFOCOM 2021)

  18. 2020AI system software

    TensorExpress: In-network communication scheduling for distributed deep learning

    Minkoo Kang, Gyeongsik Yang, Yeonho Yoo, Chuck Yoo

    IEEE 13th International Conference on Cloud Computing (CLOUD 2020)

  19. 2020Network system software

    Adaptive control channel traffic shaping for virtualized SDN in clouds

    Yeonho Yoo*, Gyeongsik Yang*, Minkoo Kang, Chuck Yoo

    IEEE 13th International Conference on Cloud Computing (CLOUD 2020)

News

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  • One undergraduate intern has joined the lab: Seonghwan No. Welcome aboard!
  • One paper got accepted at Future Generation Computer Systems Journal.
  • One undergraduate intern has joined the lab: Dongmin Baek. Welcome aboard!
  • Sumin awarded at the 2025 Open Source Developer Competition.
  • iSN Lab launched at Dongguk University.