Jinhua Cui

Associate Professor

School of Computer Science and Technology
Huazhong University of Science and Technology
Wuhan 430074, China
Email: csjhcui at gmail dot com

[ Bio | News | Research Interests | Publications | Peoples | Teaching | Services | OpenSoft ]



Bio

I am an Associate Professor in the School of Computer Science and Technology at Huazhong University of Science and Technology. I received my PhD in the School of Electronic and Information Engineering at Xi'an Jiaotong University in 2018. I was also a visiting PhD student in the Computer Science Department at University of Pittsburgh, Pittsburgh, PA, USA. My research focuses on improving performance, reliability of storage systems, etc. My papers have been published in major conferences and journals, including DAC, TPDS, TCAD, JSA, TCE, ICCAD, LCTES, MSST, DATE, NPC, GLSVLSI, etc.

I'm looking for motivated students. If you are interested in doing research with me, please feel free to contact me via email.

Recent News

  • 04.01.2024: Our paper is accepted by TCAD. Congratulations to Zhimin.
  • 03.01.2024: Invited to service as a session chair of CLNLP 2024.
  • 09.01.2023: Welcome new students Feiyu Chen and Lu Li to our group.
  • 05.26.2023: Invited to give a talk in 6th International Conference on Artificial Intelligence and Big Data (ICAIBD 2023)
  • 06.09.2023: Invited to service as TPC of International Seminar on Research of Information Technology and Intelligent Systems (ISRITI 2023).
  • 03.26.2023: Our paper is accepted by TNSE. Congratulations to Debin!
  • 02.24.2023: Our paper is accepted by DAC 2023.
  • The full history is here

    Selected Publications

    1. FSD: A Fast Secure Deletion Strategy for High-Density Flash Memories through WOM-v Codes
      Jinhua Cui, Kai Tang, Laurence T. Yang,
      The 60th Design Automation Conference (DAC'23), San Francisco, CA., 2023
    2. A Space-Efficient Fair Cache Scheme based on Machine Learning for NVMe SSDs
      Weiguang Liu, Jinhua Cui, Tiantian Li, Junwei Liu, and Laurence T. Yang
      IEEE Transactions on Transactions on Parallel and Distributed Systems (TPDS), 2023, 34(1): 383-399.
    3. IMRSim: A Disk Simulator for Interlaced Magnetic Recording Technology
      Zhimin Zeng, Xinyu Chen, Laurence T. Yang, Jinhua Cui
      The IFIP International Conference on Network and Parallel Computing (NPC'22), Jinan, China, 2022
    4. MLCache: A Space-Efficient Cache Scheme based on Reuse Distance and Machine Learning for NVMe SSDs
      Weiguang Liu, Jinhua Cui, Junwei Liu, and Laurence T. Yang
      The 39th Edition of IEEE/ACM International Conference on Computer-Aided Design (ICCAD'20), November, San Diego, 2020: 1~9
    5. ApproxFTL: On the Performance and Lifetime Improvement of 3D NAND Flash based SSDs
      Jinhua Cui, Youtao Zhang, Liang Shi, Chun Jason Xue, Weiguo Wu, and Jun Yang
      IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2018, 37 (10): 1957-1970
    The full paper list is here

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    Teaching

  • Currently Teaching (Spring 2024): Big Data Analyzing
  • Fall 2023: Discrete Mathematics
  • Spring 2023: Big Data Analyzing
  • Fall 2022: Big Data Analyzing
  • Fall 2022: Discrete Mathematics
  • Fall 2021: Big Data Analyzing
  • Fall 2021: Discrete Mathematics
  • Spring 2021: Discrete Mathematics
  • The full list is here

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    OpenSoft: Tools, Software, and Full Data Sets

  • Source code for IMRSim

    IMRSim is a simulator that accurately models the emerging interlaced magnetic recording (IMR) disks. Please cite the following accompanying article if you would like to use or build upon the tools:

    IMRSim: A Disk Simulator for Interlaced Magnetic Recording Technology
    Zhimin Zeng, Xinyu Chen, Laurence T. Yang, Jinhua Cui.
    The IFIP International Conference on Network and Parallel Computing (NPC'22), Jinan, China, 2022.
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    Last modified Apr., 2024.