University of Michigan, Ann Arbor
2260 Hayward St
Ann Arbor, MI 48109-2121
I am a fifth-year PhD student in Computer Science and Engineering at University of Michigan, Ann Arbor.
And I am fortunate to have two great advisors, Prof. Kang G. Shin, and Prof. Mosharaf Chowdhury.
My research interests are broadly in computer systems and networking, especially in operating systems, virtualization, and resource management.
Recently, I have been working on memory disaggregation with low-latency networks, and system support for deep learning applications.
[pdf] [arxiv] [code] [bibtex]
Haizhong Zheng, Ziqi Zhang, Juncheng Gu, Honglak Lee, Atul Prakash
] Efficient Adversarial Training with Transferable Adversarial Examples
[pdf] [slides] [pps] [code] [bibtex]
Juncheng Gu, Mosharaf Chowdhury, Kang G. Shin, Yibo Zhu, Myeongjae Jeon, Junjie Qian, Hongqiang Liu, Chuanxiong Guo
] Tiresias: A GPU Cluster Manager for Distributed Deep Learning
Chao Li, Yang Hu, Juncheng Gu, Jingling Yuan, Tao Li
[TPDS 28.7, 2017
] Oasis: Scaling Out Datacenter Sustainably and Economically
Longjun Liu, Chao Li, Hongbin Sun, Yang Hu, Juncheng Gu, Tao Li
] BAAT: Towards dynamically managing battery aging in green datacenters
Longjun Liu, Chao Li, Hongbin Sun, Yang Hu, Juncheng Gu, Tao Li, Jingmin Xin, Nanning Zheng
] HEB: Deploying and Managing Hybrid Energy Buffers for Improving Datacenter Efficiency and Economy
Chao Li, Yang Hu, Longjun Liu, Juncheng Gu, Mingcong Song, Xiaoyao Liang, Jingling Yuan, Tao Li
] Towards Sustainable In-Situ Server Systems in the Big Data Era
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Last updated: Jul 22, 2020