Byungsoo Oh

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CS PhD Student @ Cornell University

Hi! I am a second-year PhD student in Computer Science at Cornell University, advised by Prof. Rachee Singh. My research interests are broadly in machine learning systems and AI infrastructure. I am honored to receive LinkedIn PhD Fellowship.

Previously, I worked at Samsung Research, where I conducted research on systems for ML and large-scale data processing. There, I also developed an ML platform on GPU infrastructure. I earned my M.S. in Computer Science at KAIST. I received my B.S. in Computer Science and Engineering from Sogang University with Summa Cum Laude.

News

Sep 18, 2025 🎉 FlashDMoE has been accepted to NeurIPS 2025!
Jul 18, 2025 🏆 Awarded LinkedIn Fellowship (2025-2026)!
May 19, 2025 🌱 Started my research internship at Microsoft Research in Redmond!
Aug 21, 2024 🌱 Started my PhD studies in Cornell CS.
Jun 07, 2024 🛫 Awarded student grant to attend USENIX ATC 2024 in Santa Clara!
May 01, 2024 🎉 Metis has been accepted to USENIX ATC 2024!
Dec 19, 2022 🎉 FastFlow has been accepted to VLDB 2023!

Publications

  1. NeurIPS
    FlashDMoE: Fast Distributed MoE in a Single Kernel
    Osayamen Jonathan Aimuyo,  Byungsoo Oh , and Rachee Singh
    In Conference on Neural Information Processing Systems (NeurIPS) , 2025
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  2. USENIX ATC
    Metis: Fast Automatic Distributed Training on Heterogeneous GPUs
    Taegeon Um*,  Byungsoo Oh* , Minyoung Kang*, Woo-Yeon Lee, Goeun Kim, Dongseob Kim, Youngtaek Kim, Mohd Muzzammil, and Myeongjae Jeon (* = Equal Contribution)
    In USENIX Annual Technical Conference (USENIX ATC) , 2024
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  3. VLDB
    FastFlow: Accelerating Deep Learning Model Training with Smart Offloading of Input Data Pipeline
    Taegeon Um,  Byungsoo Oh , Byeongchan Seo, Minhyeok Kweun, Goeun Kim, and Woo-Yeon Lee
    In International Conference on Very Large Data Bases (VLDB) , 2023
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  4. IPDPS
    PokéMem: Taming Wild Memory Consumers in Apache Spark
    Minhyeok Kweun, Goeun Kim,  Byungsoo Oh , Seongho Jung, Taegeon Um, and Woo-Yeon Lee
    In IEEE International Parallel and Distributed Processing Symposium (IPDPS) , 2022
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  5. IJCNN
    DAPAS: Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation
    Seungju Cho, Tae Joon Jun,  Byungsoo Oh , and Daeyoung Kim
    In International Joint Conference on Neural Networks (IJCNN) , 2020
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  6. Middleware
    Serverless-Enabled Permissioned Blockchain for Elastic Transaction Processing
    Byungsoo Oh , and Daeyoung Kim
    In ACM/IFIP International Middleware Conference (Middleware), Demos and Posters , 2019
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  7. SMC
    Enhancing Trust of Supply Chain Using Blockchain Platform with Robust Data Model and Verification Mechanism
    Byungsoo Oh , Tae Joon Jun, Wondeuk Yoon, Yunho Lee, Sangtae Kim, and Daeyoung Kim
    In IEEE International Conference on Systems, Man and Cybernetics (SMC) , 2019
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