| 2025 | SOSP | SAND: A New Programming Abstraction for Video-based Deep Learning. | Juncheol Ye, Seungkook Lee, Hwijoon Lim, Jihyuk Lee, Uitaek Hong, Youngjin Kwon, Dongsu Han |
| 2024 | ICML | Scaling Beyond the GPU Memory Limit for Large Mixture-of-Experts Model Training. | Yechan Kim, Hwijoon Lim, Dongsu Han |
| 2024 | SIGCOMM | Accelerating Model Training in Multi-cluster Environments with Consumer-grade GPUs. | Hwijoon Lim, Juncheol Ye, Sangeetha Abdu Jyothi, Dongsu Han |
| 2024 | SIGCOMM | TopFull: An Adaptive Top-Down Overload Control for SLO-Oriented Microservices. | Jinwoo Park, Jaehyeong Park, Youngmok Jung, Hwijoon Lim, Hyunho Yeo, Dongsu Han |
| 2023 | EuroSys | FlexPass: A Case for Flexible Credit-based Transport for Datacenter Networks. | Hwijoon Lim, Jaehong Kim, Inho Cho, Keon Jang, Wei Bai, Dongsu Han |
| 2022 | CoNEXT | OutRAN: co-optimizing for flow completion time in radio access network. | Jaehong Kim, Yunheon Lee, Hwijoon Lim, Youngmok Jung, Song Min Kim, Dongsu Han |
| 2022 | ICML | TSPipe: Learn from Teacher Faster with Pipelines. | Hwijoon Lim, Yechan Kim, Sukmin Yun, Jinwoo Shin, Dongsu Han |
| 2022 | SIGCOMM | NeuroScaler: neural video enhancement at scale. | Hyunho Yeo, Hwijoon Lim, Jaehong Kim, Youngmok Jung, Juncheol Ye, Dongsu Han |
| 2021 | EuroSys | Towards timeout-less transport in commodity datacenter networks. | Hwijoon Lim, Wei Bai, Yibo Zhu, Youngmok Jung, Dongsu Han |