Zhen Zhang

I am a Ph.D. candidate majoring in Computer Science at Johns Hopkins University I am fortunately advised by Prof. Xin Jin. My research interests are primarily on distributed training/inference systems for deep learning models, e.g., foundation models.

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Publications

• MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud
  Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin
  VLDB, 2023
• PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications
  Zhihao Bai, Zhen Zhang, Yibo Zhu, Xin Jin
  OSDI, 2020
• Is Network the Bottleneck of Distributed Training?
  Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin
  NetAI, 2020
• TKPERM: Cross-platform Permission Knowledge Transfer to Detect Overprivileged Third-party Applications
  Faysal Hossain Shezan, Kaiming Cheng, Zhen Zhang, Yinzhi Cao, Yuan Tian
  NDSS, 2020
• Towards a Secure Zero-rating Framework with Three Parties
  Zhiheng Liu, Zhen Zhang, Yinzhi Cao, Zhaohan Xi, Shihao Jing, Humberto La Roche
  USENIX Security, 2018

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Experiences

• Applied Scientist Intern at AWS (part-time), Sep. 2022 - Dec. 2022
• Applied Scientist Intern at AWS (full-time), May. 2022 - Aug. 2022
• Applied Scientist Intern at AWS (part-time), Sep. 2021 - Jan. 2022
• Applied Scientist Intern at AWS (full-time), May 2021 - Aug. 2021
• Applied Scientist Intern at AWS (full-time), May 2020 - Aug. 2020
• Teaching Assistant at JHU, Sep. 2019 - Dec. 2019
• Teaching Assistant at JHU, May 2019 - Jul. 2019

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Services

• Conference reviewer: INFOCOM'21, INFOCOM'22, OSDI'22(AE), ATC'22(AE), KDD'22, INFOCOM'23
• Journal reviewer: TOIT'22

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Misc.

Old blog posts: here.