xinyuliu12
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Xinyu Liu

Summary

I’m a Database Engineer at ServiceNow who enjoys working at the intersection of systems, performance, and reliability. I previously spent four years as a Computer Science PhD student at Georgia Tech, researching how software testing and program analysis techniques can be used to improve database performance. I’m now focused on translating deep systems thinking into practical, high-impact work in industry.

Education

  • I received a Master’s of Computer Science from Georgia Tech in 2024.

  • I proudly quitted the CS PhD program at Georgia Tech in 2023.

  • I received a Bachelor of Computer Science from University of Michigan in 2019.

Experience

  • I was a CS PhD student at Georgia Tech. My research projects received 2 research fundings and led to 2 publications at a top-tier conference.

  • I TA’ed CS-6300 Software Development Process class at Georgia Tech for 3 semesters.

  • I was a Research Intern at the Microsoft Gray Systems Lab, fortunately mentored by Dr. Venkatesh Emani. I developed a technique and tool, named Polysem, that enables queries from different modalities to execute on PowerBI.

  • I was an undergraduate research assistant at University of Michigan, where I was fortunately mentored by Dr. Westley Weimer.

Fundings

  • School of Computer Science Incubator Graduate Fellowship (2022)
    Delivered a proposal on inferring properties of user-defined functions in order to improve the performance of database systems.
    Awarded a $25k funding from Georgia Tech.
  • Alibaba Innovative Research Funding (2021)
    Delivered a proposal on inferring properties of user-defined functions in order to improve the performance of large scale data processing platforms at Alibaba.
    Awarded a $84k funding from Alibaba.

Publications

  • A Framework For Inferring Properties of User-Defined Functions (ICSE’24): 1324-1334
    Xinyu Liu, Joy Arulraj, and Alessandro Orso

  • PolySem: Efficient Polyglot Analytics on Semantic Data (Poly’23): to appear
    Xinyu Liu, Venkatesh Emani, Avrilia Floratou, Joyce Cahoon, Philip Seamark and Carlo Curino

  • Automatic Detection of Performance Bugs in Database Systems using Equivalent Queries (ICSE’22): 225-236
    Xinyu Liu, Qi Zhou, Joy Arulraj, and Alessandro Orso

  • Neurological Divide: An fMRI Study of Prose and Code Writing (ICSE’20): 678-690
    Ryan Krueger, Yu Huang, Xinyu Liu, Tyler Santander, Westley Weimer, and Kevin Leach

  • Distilling Neural Representations of Data Structure Manipulation using fMRI and fNIRS (ICSE’19): 396-407 (distinguished paper award)
    Yu Huang, Xinyu Liu, Ryan Krueger, Tyler Santander, Xiaosu Hu, Kevin Leach and Westley Weimer