Jiawei Liu

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).

🤗 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

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

arXiv Bib

@article{liu2023neuri,
  title = {NeuRI: Diversifying DNN Generation via Inductive Rule Inference},
  author = {Liu, Jiawei and Peng, Jinjun and Wang, Yuyao and Zhang, Lingming},
  journal = {arXiv preprint arXiv:2302.02261},
  year = {2023},
}

ASPLOS’23

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

DOI arXiv Bib Code Poster Slides Artifact

@inproceedings{liu2023nnsmith,
  author = {Liu, Jiawei and Lin, Jinkun and Ruffy, Fabian and Tan, Cheng and Li, Jinyang and Panda, Aurojit and Zhang, Lingming},
  title = {NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers},
  year = {2023},
  isbn = {9781450399166},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3575693.3575707},
  doi = {10.1145/3575693.3575707},
  booktitle = {Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2},
  pages = {530--543},
  numpages = {14},
  keywords = {Deep Learning Compilers, Compiler Testing, Fuzzing},
  location = {Vancouver, BC, Canada},
  series = {ASPLOS 2023},
}

OOPSLA’22

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

DOI Bib Code Slides Artifact

@article{liu2022coverage,
  title = {Coverage-guided tensor compiler fuzzing with joint IR-pass mutation},
  author = {Liu, Jiawei and Wei, Yuxiang and Yang, Sen and Deng, Yinlin and Zhang, Lingming},
  journal = {Proceedings of the ACM on Programming Languages},
  volume = {6},
  number = {OOPSLA1},
  pages = {1--26},
  year = {2022},
  publisher = {ACM New York, NY, USA},
  url = {https://doi.org/10.1145/3527317},
  doi = {10.1145/3527317},
  month = apr,
  articleno = {73},
}

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

DOI Bib PDF Code Website

@inbook{guo2021fast,
  title = {Fast and Flexible Human Pose Estimation with HyperPose},
  author = {Guo, Yixiao and Liu, Jiawei and Li, Guo and Mai, Luo and Dong, Hao},
  booktitle = {Proceedings of the 29th ACM International Conference on Multimedia},
  pages = {3763--3766},
  year = {2021},
  isbn = {9781450386517},
  publisher = {ACM New York, NY, USA},
  url = {https://doi.org/10.1145/3474085.3478325},
  doi = {10.1145/3474085.3478325},
}