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Yifei Liu

Ph.D. Candidate of Computer Science

Stony Brook University

Biography

I am Yifei Liu, a final-year Ph.D. candidate in Computer Science at Stony Brook University . I am part of the File systems and Storage Lab (FSL) , advised by Prof. Erez Zadok . I also collaborate closely with Prof. Geoff Kuenning and Prof. Scott A. Smolka . I am broadly interested in file/storage systems and operating systems. My recent work seeks to test kernel file systems more readily and thoroughly by model checking and other related techniques.

Before Stony Brook, I was a Master’s student and research assistant at the Wuhan National Laboratory for Optoelectronics , advised by Prof. Ke Zhou , at Huazhong University of Science and Technology . There, I focused on the integration of content-based semantic queries in storage systems.

Interests

  • File/Storage Systems
  • Operating Systems
  • Model Checking, Testing, and Verification

Education

  • Ph.D. in Computer Science, 2019 - Current

    Stony Brook University

  • M.Eng. in Computer System Architecture, 2016 - 2019

    Huazhong University of Science and Technology

  • B.Eng. in Computer Science and Technology, 2012 - 2016

    Huazhong Agricultural University

News

  • Apr. 2025: A paper on knee/elbow point detection was accepted to the SoftwareX journal.
  • Nov. 2024: I successfully passed my Thesis Proposal. Thanks to my committee members and advisor!
  • Feb. 2024: A paper on multi-tier caching was accepted to the Performance Evaluation journal.
  • Dec. 2023: A paper on file system model checking was accepted to FAST 2024 .
  • Aug. 2023: A paper on multi-tier caching was accepted to MASCOTS 2023 .
More News

Publications

Quickly discover relevant content by filtering publications.

Guiding Simulations of Multi-Tier Storage Caches Using Knee Detection

Input and Output Coverage Needed in File System Testing

A Framework for Image Dark Data Assessment

Analysis and Management to Hash-Based Graph and Rank

Research of Web Service Recommendation Using Bayesian Network Reasoning

Selected Awards

FAST ‘24 Student Travel Grant

Best Paper Runner-Up

Outstanding Graduate

Outstanding Graduate

Finalist, Interdisciplinary Contest in Modeling (MCM/ICM)

Award rate: 52/9773 ~0.53%, see the report (in Chinese) on this award, featured in the Changjiang Daily

National First Prize, National Postgraduate Mathematic Contest in Modeling (GMCM)

Won highest award of the contest, award rate: 120/4900 ~2.4%

National First Prize, Contemporary Undergraduate Mathematical Contest in Modeling (CUMCM)

Won highest award of the contest, award rate: 293/22233 ~1.3%

Miscellaneous

To know how to criticize is good, to know how to create is better. – Henri Poincaré

Linux

Contact

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