Hi! I received my Ph.D. from the Computer Science & Engineering Department at Texas A&M University, advised by Prof. Jeff Huang. My research interest are Program Languages and Static Analysis.

I obtained my Bachelor’s degree from Huazhong University of Science and Technology. You can obtain my CV here

Right now, I am a software enginer @ Google Research working on MLIR project (MLIR Sparsifer).

Publication

2022

• PUS: A Fast and Highly Efficient Solver for Inclusion-based Pointer Analysis
  International Conference on Software Engineering (ICSE’22, distinguished paper award)
  Peiming Liu, Yanze Li, Bradley Swain, Jeff Huang

2021

• OpenRace: An Open Source Framework for Statically Detecting Data Races
  International Workshop on Software Correctness for HPC Applications (SC Correctness 2021)
  Bradley Swain, Bozhen Liu, Peiming Liu, Yanze Li, Addison Crump, Rohan Khera, Jeff Huang

• When Threads Meet Events: Efficient and Precise Static Race Detection with Origins
  Symposium on Programming Language Design & Implementation (PLDI’ 21, acceptance rate: 27%)
  Bozhen Liu, Peiming Liu (co-first author), Yanze Li, Chia-Che Tsai, Dilma Da Silva, Jeff Huang

2020

• OMPRacer: A Scalable and Precise StaticRace Detector for OpenMP Programs
  The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC’20, acceptance rate: 18%)
  Bradley Swain, Yanze Li, Peiming Liu, Ignacio Laguna, Giorgis Georgakoudis, Jeff Huang

• Securing UnSafe Rust Programs with XRust.
  International Conference on Software Engineering (ICSE’20, accepetance rate: 20%)
  Peiming Liu, Gang Zhao, Jeff Huang

2019

• Tagging Wearable Accelerometers in Camera Frames through Information Translation between Vision Sensors and Accelerometers
  International Conference on Cyber-Physical Systems (ICCPS’19)
  Ali Akbari, Peiming Liu, Bobak J. Mortazavi, Roozbeh Jafari

Teaching

• Teaching Assistant, CSCE 629, Analysis of Algorithm, 2018 Spring

• Teaching Assistant, CSCE 611, Operation System and Applicaton, 2019 Fall

Industry Experiences

Software Engineer @ Google (CoreML 2022-2023, Research 2023-Present).
Work on ML Compiler/MLIR Sparsifier.

Graduate Research Intern @ Intel Labs, Security & Privacy Group, 2021
Work on compiler-based security.

Software Engineer Intern @ Coderrect, 2020.
Work on a static data race detection tool, found real races in Linux Kernel, memcached, redis, Covid-sim, etc.

Software Engineer Intern @ Tencent, IEG, 2016

Profession Services

Program Committee: IPDPS 2024
Subreviewer for : OOPSLA’20, OOPSLA’19, FSE’19, PLDI’19, ICSE’19

Selected Award

National Scholarship, Huazhong University of Science and Technology.