Jiawei Liu

I am a 2nd-year PhD student at UIUC PLFMSE advised by Lingming Zhang.

I am interested in programming systems and deep learning, with a goal to improve the reliability, programmability and efficiency of modern systems.

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.

Papers

Pre-print

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, and Lingming Zhang

arXiv preprint arXiv:2305.01210. 2023

arXiv Bib Code

@article{liu2023IsYC,
  title = {Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation},
  author = {Liu, Jiawei and Xia, Chunqiu Steven and Wang, Yuyao and Zhang, Lingming},
  journal = {arXiv preprint arXiv:2305.01210},
  year = {2023},
}

ESEC/FSE’23

To Appear

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 Code Artifact

@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

🏆 Distinguished Artifact

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},
}