Xinyu Liu

Summary

I am a database engineer at ServiceNow. I was a Computer Science PhD student at Georgia Tech for 4 years, and my research projects were about leveraging software testing and program analysis techniques to improve the performance of database systems. I am thrilled about transitioning to a career in industry because my PhD experience was traumatic.

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