Decentralized Message Broker Federation Architecture with Multiple DHT Rings for High Survivability. - Minsub Kim; Minho Bae; Sangho Yeo; Gyudong Park; Sangyoon Oh 001 (ICCSA (5), 2018)

Accelerating Deep Reinforcement Learning Using Human Demonstration Data Based on Dual Replay Buffer Management and Online Frame Skipping. - Sangho Yeo; Sangyoon Oh 001; Min Su Lee (BigComp, 2019)

I/O Performance Evaluation of Large-Scale Deep Learning on an HPC System. - Minho Bae; Minjoong Jeong; Sangho Yeo; Sangyoon Oh 001; Oh-Kyoung Kwon (HPCS, 2019)

Integrate multi-agent simulation environment and multi-agent reinforcement learning (MARL) for real-world scenario. - Sangho Yeo; Seungjun Lee; Boreum Choi; Sangyoon Oh 001 (ICTC, 2020)

Novel data-placement scheme for improving the data locality of Hadoop in heterogeneous environments. - Minho Bae; Sangho Yeo; Gyudong Park; Sangyoon Oh 001 (Concurr. Comput. Pract. Exp., 2021)

Mitigating Cold Start Problem in Serverless Computing with Function Fusion. - Seungjun Lee; Daegun Yoon; Sangho Yeo; Sangyoon Oh 001 (Sensors, 2021)

Accelerated deep reinforcement learning with efficient demonstration utilization techniques. - Sangho Yeo; Sangyoon Oh 001; Min Su Lee (World Wide Web, 2021)

AMBLE: Adjusting mini-batch and local epoch for federated learning with heterogeneous devices. - Juwon Park; Daegun Yoon; Sangho Yeo; Sangyoon Oh 001 (J. Parallel Distributed Comput., 2022)

Crossover-SGD: A gossip-based communication in distributed deep learning for alleviating large mini-batch problem and enhancing scalability. - Sangho Yeo; Minho Bae; Minjoong Jeong; Oh-Kyoung Kwon; Sangyoon Oh 001 (Concurr. Comput. Pract. Exp., 2023)