Jinbin Hu (胡晋彬)

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Post-Doc
Department of Computer Science & Engineering
Hong Kong University of Science & Technology

Email: jinbinhu@ust.hk

Welcome to Jinbin Hu's Homepage!

I am currently a Post-Doc in the CSE Department of HKUST, advised by Prof. Kai Chen, and a member of intelligent System and networkING Lab (iSING) Lab. I received BS/MS in 2008/20011 from Beijing Jiaotong University and PhD in 2020 from Central South University (Advised by Prof. Jiawei Huang), and joined Changsha University of Science and Technology in December 2021. You can find my CV here.

Research: I work in the areas of datacenter networks and systems. My research aims to improve the performance, robustness, and ease of management of future intelligent network and computing systems. My current research centers on datacenter networking, RDMA networking, AI-centric networking, and machine learning systems.

News

  • 2024.08   Three papers accepted to ISPA 2024.

  • 2024.06   AutoPipe accepted to ICPP 2024.

  • 2024.05   RLB accepted to IEEE/ACM TON 2024.

  • 2024.04   TaLB accepted to IWQoS 2024.

  • 2024.02   Proteus accepted to IEEE/ACM TON 2024.

  • 2023.10   Proteus received Best Paper Award @ICNP 2023.

  • 2023.10   RACO received Best Paper Award @ICA3PP 2023.

  • 2023.07   Co-authored FLOWSAIL accepted to ICNP 2023.

  • 2023.07   Five papers accepted to ICA3PP 2023.

  • 2023.06   RLB accepted to ICPP 2023.

  • 2023.06   Co-authored Aquarius accepted to APNet 2023.

  • Research Projects

    • The National Natural Science Foundation of China:
      Study on Transport Control in Data Center Lossless Network Based on Priority-based Flow Control (No. 62102046), 2022.1.1-2024.12.31 (PI)

    • The Natural Science Foundation of Hunan Province:
      Study on Communication Optimization Technology for Distributed Deep Neural Network (No. 2022JJ30618), 2022.1.1-2024.12.31. (PI)

    • The Scientific Research Fund of Hunan Provincial Education Department:
      Study on Load Balancing for Lossless Datacenter Networks (No. 22B0300), 2023.1.1-2025.12.31. (PI)

    Teaching

    • Python Programming, Spring 2022,Spring 2023.