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Juncheng Gu

Machine Learning Systems
@ByteDance


Contact

juncgu
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About Me

I am working on Machine Learning Systems at ByteDance. Before that, I obtained my Ph.D. degree in Computer Science and Engineering from University of Michigan, Ann Arbor, co-advised by Prof. Kang G. Shin, and Prof. Mosharaf Chowdhury.

My research interests are broadly in computer systems and networking, especially in machine learning systems, operating systems, and resource management. Throughout my Ph.D. study, I mainly explored how to build an efficient deep learning cluster relying on low-latency RDMA networks (thesis).


Publications

  • [NeurIPS'22] SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training
    Yangrui Chen, Cong Xie, Meng Ma, Juncheng Gu, Yanghua Peng, Haibin Lin, Chuan Wu, Yibo Zhu
  • [pdf] [OpenReview] [code] [bibtex]
  • [CVPR'20] Efficient Adversarial Training with Transferable Adversarial Examples
    Haizhong Zheng, Ziqi Zhang, Juncheng Gu, Honglak Lee, Atul Prakash
  • [pdf] [arxiv] [code] [bibtex]
  • [NSDI'19] Tiresias: A GPU Cluster Manager for Distributed Deep Learning
    Juncheng Gu, Mosharaf Chowdhury, Kang G. Shin, Yibo Zhu, Myeongjae Jeon, Junjie Qian, Hongqiang Liu, Chuanxiong Guo
  • [pdf] [slides] [pps] [code] [bibtex]
  • [TPDS 28.7, 2017] Oasis: Scaling Out Datacenter Sustainably and Economically
    Chao Li, Yang Hu, Juncheng Gu, Jingling Yuan, Tao Li
  • [pdf] [bibtex]
  • [DSN'15] BAAT: Towards dynamically managing battery aging in green datacenters
    Longjun Liu, Chao Li, Hongbin Sun, Yang Hu, Juncheng Gu, Tao Li
  • [pdf] [bibtex]
  • [ISCA'15] HEB: Deploying and Managing Hybrid Energy Buffers for Improving Datacenter Efficiency and Economy
    Longjun Liu, Chao Li, Hongbin Sun, Yang Hu, Juncheng Gu, Tao Li, Jingmin Xin, Nanning Zheng
  • [pdf] [bibtex]
  • [ISCA'15] Towards Sustainable In-Situ Server Systems in the Big Data Era
    Chao Li, Yang Hu, Longjun Liu, Juncheng Gu, Mingcong Song, Xiaoyao Liang, Jingling Yuan, Tao Li
  • [pdf] [bibtex]

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Last updated: May 07, 2023