Jiawei Liu

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I am a CS PhD student at UIUC advised by Lingming Zhang since 2021 Fall.

I am interested in programming systems and deep learning. My research goal is to make software systems: easy-to-use, fast and reliable by improving their programmability, performance and reliability.

Take a look at NNSmith, our recently released DNN synthesizer for automatically validating DL systems (esp. compilers).

ūü§ó Feel free to drop me an email if you are interested in my research.

News

Mar 24, 2023 I will intern at Google this summer to work with Cloud & Research team.
Feb 12, 2023 I will present NNSmith at ASPLOS (sponsored by ASPLOS & UIUC). See you in Vancouver!
Sep 20, 2022 NNSmith is accepted by ASPLOS’23!
Jan 25, 2022 I will intern at OctoML to work on TVM Unity!
Dec 16, 2021 Tzer is accepted by OOPSLA’22!

Papers

  1. Pre-print
    NeuRI: Diversifying DNN Generation via Inductive Rule Inference
    Jiawei Liu, Jinjun Peng, Yuyao Wang,  and Lingming Zhang
    arXiv preprint arXiv:2302.02261. 2023
  2. ASPLOS’23Atifact AvailableAtifact FunctionalResults Reproduced
    NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers
    Jiawei Liu, Jinkun Lin, Fabian Ruffy, Cheng Tan, Jinyang Li, Aurojit Panda,  and Lingming Zhang
    Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2. 2023
  3. OOPSLA’22Atifact AvailableAtifact Reusable
    Coverage-guided tensor compiler fuzzing with joint IR-pass mutation
    Jiawei Liu, Yuxiang Wei, Sen Yang, Yinlin Deng,  and Lingming Zhang
    Proceedings of the ACM on Programming Languages 6 (OOPSLA1). Apr 2022
  4. ACMMM’21 (OSC)
    Fast and Flexible Human Pose Estimation with HyperPose
    Yixiao Guo,  Jiawei Liu, Guo Li, Luo Mai,  and Hao Dong
    Proceedings of the 29th ACM International Conference on Multimedia. Apr 2021

Internship

OctoML, Smr. 2022   Pattern Language

Alibaba DAMO, Smr. 2021 GNN Serving

Systems@NYU, Smr.+Fall 2020 Video Analytics

ByteDance AI Lab, Spr. 2020   DNN Serving

Services

Artifact Evaluation Committee: PLDI'23, OSDI'22, ATC'22

Reviewer: AAAI-DCAA'23

Talks

NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation