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Yifei Liu

Ph.D. Student of Computer Science

Stony Brook University

Biography

I am Yifei Liu, a second-year Ph.D. student (from F’19) in Computer Science at Stony Brook University. I am part of the File systems and Storage Lab (FSL) advised by Prof. Erez Zadok. My research interests include file/storage systems and operating systems. Also, I am very excited and motivated by the prospect of applying formal methods, machine learning and heuristic algorithms to optimizing and understanding computer systems.

Prior to Stony Brook, I was a Master’s student and Research Assistant at Wuhan National Laboratory for Optoelectronics (Information Storage Division) advised by Prof. Ke Zhou in Huazhong University of Science and Technology, where I conducted research on performance improvement for content-based semantic queries in storage systems.

Interests

  • File/Storage Systems
  • Operating Systems
  • Machine Learning for Systems

Education

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

    Stony Brook University, New York

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

    Huazhong University of Science and Technology

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

    Huazhong Agricultural University

Experience

 
 
 
 
 

FSL
Research Assistant

File systems and Storage Lab (FSL), CS Department, Stony Brook University

May 2020 – Present Stony Brook, New York
– File/Storage Systems and Operating Systems
 
 
 
 
 

SBU
Teaching Assistant

Department of Computer Science, Stony Brook University

Sep 2019 – May 2020 Stony Brook, New York

– TA for CSE376 Advanced Systems Programming in Unix/C (Spring 2020) Instructor: Prof. Erez Zadok

– TA for CSE306 Operating Systems (Fall 2019) Instructor: Prof. Eugene Stark

 
 
 
 
 

WNLO
Research Assistant

Wuhan National Laboratory for Optoelectronics

Sep 2016 – Jun 2019 Wuhan, Hubei, China
– Built a metadata system to achieve high-precision and low-latency content-based semantic queries in storage systems.
 
 
 
 
 

Tencent
Backend Developer Intern

Tencent

Dec 2015 – Aug 2016 Shenzhen, Guangdong, China
– Predicted disk failures using machine learning in cloud systems.

Projects

SwiftGraph

SwiftGraph is a system middleware for enabling accurate and fast semantic queries in storage systems through deep hashing

Dark Data Assessment

Semantic Hash Rank of Graphs for Assessing Image “Dark Data”

Disk Failure Prediction

Disk Failure Prediction in Tencent Cloud via Machine Learning (Internship at Tencent)

Bayesian Network Reasoning

Web Service Recommendation Using Bayesian Network Reasoning

Line Detection for Plant Images

Automatic Measurement of Character Parameters of the Rapeseed Plant via Image Line Detection

Publications

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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

A new line detection algorithm - Automatic measurement of character parameter of rapeseed plant by LSD

Selected Awards

Best Paper Runner-Up

Outstanding Graduate

Outstanding Graduate

Finalist, Interdisciplinary Contest in Modeling

Winning rate: 52/9773 ~0.53%, See this Report (in Chinese) about this award on Changjiang Daily

National First Prize, National Postgraduate Mathematic Contest in Modeling

Won best award of this contest, winning rate: 120/4900 ~2.4%

National First Prize, Contemporary Undergraduate Mathematical Contest in Modeling

Won best award of this contest, winning rate: 293/22233 ~1.3%

Miscellaneous

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

Contact

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