TensorExpress: In-Network Communication Scheduling for Distributed Deep Learning. - Minkoo Kang 001; Gyeongsik Yang; Yeonho Yoo; Chuck Yoo (CLOUD, 2020)

Adaptive Control Channel Traffic Shaping for Virtualized SDN in Clouds. - Yeonho Yoo; Gyeongsik Yang; Minkoo Kang 001; Chuck Yoo (CLOUD, 2020)

Bandwidth Isolation Guarantee for SDN Virtual Networks. - Gyeongsik Yang; Yeonho Yoo; Minkoo Kang 001; Heesang Jin; Chuck Yoo (INFOCOM, 2021)

A Case for SDN-based Network Virtualization. - Gyeongsik Yang; Changyong Shin; Yeonho Yoo; Chuck Yoo (MASCOTS, 2021)

Proactive Congestion Avoidance for Distributed Deep Learning. - Minkoo Kang 001; Gyeongsik Yang; Yeonho Yoo; Chuck Yoo (Sensors, 2021)

Xonar: Profiling-based Job Orderer for Distributed Deep Learning. - Changyong Shin; Gyeongsik Yang; Yeonho Yoo; Jeunghwan Lee; Chuck Yoo (CLOUD, 2022)

Resource Analysis of Blockchain Consensus Algorithms in Hyperledger Fabric. - Gyeongsik Yang; Kwanhoon Lee; Kyungwoon Lee; Yeonho Yoo; Hyowon Lee 005; Chuck Yoo (IEEE Access, 2022)

Prediction of the Resource Consumption of Distributed Deep Learning Systems. - Gyeongsik Yang; Changyong Shin; Jeunghwan Lee; Yeonho Yoo; Chuck Yoo (Proc. ACM Meas. Anal. Comput. Syst., 2022)

Selective Preemption of Distributed Deep Learning Training. - Younghun Go; Changyong Shin; Jeunghwan Lee; Yeonho Yoo; Gyeongsik Yang; Chuck Yoo (CLOUD, 2023)

SegaNet: An Advanced IoT Cloud Gateway for Performant and Priority-Oriented Message Delivery. - Yeonho Yoo; Zhixiong Niu; Chuck Yoo; Peng Cheng 005; Yongqiang Xiong (APNet, 2023)

Control Channel Isolation in SDN Virtualization: A Machine Learning Approach. - Yeonho Yoo; Gyeongsik Yang; Changyong Shin; Jeunghwan Lee; Chuck Yoo (CCGrid, 2023)

Accurate and Efficient Monitoring for Virtualized SDN in Clouds. - Gyeongsik Yang; Yeonho Yoo; Minkoo Kang 001; Heesang Jin; Chuck Yoo (IEEE Trans. Cloud Comput., 2023)

TeaVisor: Network Hypervisor for Bandwidth Isolation in SDN-NV. - Yeonho Yoo; Gyeongsik Yang; Jeunghwan Lee; Changyong Shin; Hoseok Kim; Chuck Yoo (IEEE Trans. Cloud Comput., 2023)

Machine Learning-Based Prediction Models for Control Traffic in SDN Systems. - Yeonho Yoo; Gyeongsik Yang; Changyong Shin; Junseok Lee; Chuck Yoo (IEEE Trans. Serv. Comput., 2023)

Harmonia: Accurate Federated Learning with All-Inclusive Dataset. - Wonmi Choi; Juyoung Ahn; Yeonho Yoo; Chuck Yoo; Gyeongsik Yang (CLOUD, 2024)

Predictive Placement of Geo-Distributed Blockchain Nodes for Performance Guarantee. - Junseok Lee; Yeonho Yoo; Chuck Yoo; Gyeongsik Yang (CLOUD, 2024)

Prediction of permissioned blockchain performance for resource scaling configurations. - Seungwoo Jung; Yeonho Yoo; Gyeongsik Yang; Chuck Yoo (ICT Express, 2024)

Intelligent Packet Processing for Performant Containers in IoT. - Wonmi Choi; Yeonho Yoo; Kyungwoon Lee; Zhixiong Niu; Peng Cheng 005; Yongqiang Xiong; Gyeongsik Yang; Chuck Yoo (IEEE Internet Things J., 2024)

Revisiting Traffic Splitting for Software Switch in Datacenter. - Yeonho Yoo; Gyeongsik Yang; Changyong Shin; Hwiju Cho; Wonmi Choi; Zhixiong Niu; Chuck Yoo (Proc. ACM Meas. Anal. Comput. Syst., 2025)