Publications

2023

1. Pre-print

   Magicoder: Source Code Is All You Need

   Yuxiang Wei, Zhe Wang,  Jiawei Liu, Yifeng Ding,  and Lingming Zhang

   arXiv preprint arXiv:2312.02120. 2023

   PAPER Bib Slides

   @article{wei2023magic,
     title = {Magicoder: Source Code Is All You Need},
     author = {Wei, Yuxiang and Wang, Zhe and Liu, Jiawei and Ding, Yifeng and Zhang, Lingming},
     journal = {arXiv preprint arXiv:2312.02120},
     year = {2023},
   }

2. Pre-print

   White-box Compiler Fuzzing Empowered by Large Language Models

   Chenyuan Yang, Yinlin Deng, Runyu Lu, Jiayi Yao,  Jiawei Liu, Reyhaneh Jabbarvand,  and Lingming Zhang

   arXiv preprint arXiv:2310.15991. 2023

   PAPER Bib

   @article{yang2023white,
     title = {White-box Compiler Fuzzing Empowered by Large Language Models},
     author = {Yang, Chenyuan and Deng, Yinlin and Lu, Runyu and Yao, Jiayi and Liu, Jiawei and Jabbarvand, Reyhaneh and Zhang, Lingming},
     journal = {arXiv preprint arXiv:2310.15991},
     year = {2023},
   }

3. Pre-print

   Relax: Composable Abstractions for End-to-End Dynamic Machine Learning

   Ruihang Lai, Junru Shao, Siyuan Feng, Steven S. Lyubomirsky, Bohan Hou, Wuwei Lin, Zihao Ye, Hongyi Jin, Yuchen Jin,  Jiawei Liu, Lesheng Jin, Yaxing Cai, Ziheng Jiang, Yong Wu, Sunghyun Park, Prakalp Srivastava, Jared G. Roesch, Todd C. Mowry,  and Tianqi Chen

   arXiv preprint arXiv:2311.02103. 2023

   PAPER Bib

   @article{lai2023relax,
     title = {Relax: Composable Abstractions for End-to-End Dynamic Machine Learning},
     author = {Lai, Ruihang and Shao, Junru and Feng, Siyuan and Lyubomirsky, Steven S. and Hou, Bohan and Lin, Wuwei and Ye, Zihao and Jin, Hongyi and Jin, Yuchen and Liu, Jiawei and Jin, Lesheng and Cai, Yaxing and Jiang, Ziheng and Wu, Yong and Park, Sunghyun and Srivastava, Prakalp and Roesch, Jared G. and Mowry, Todd C. and Chen, Tianqi},
     journal = {arXiv preprint arXiv:2311.02103},
     year = {2023},
   }

4. NeurIPS’23

   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

   Thirty-seventh Conference on Neural Information Processing Systems. 2023

   PAPER Bib Poster Slides </div>

   @inproceedings{liu2023is,
     title = {Is Your Code Generated by Chat{GPT} Really Correct? Rigorous Evaluation of Large Language Models for Code Generation},
     author = {Liu, Jiawei and Xia, Chunqiu Steven and Wang, Yuyao and Zhang, Lingming},
     booktitle = {Thirty-seventh Conference on Neural Information Processing Systems},
     year = {2023},
     url = {https://openreview.net/forum?id=1qvx610Cu7},
   }

   </div> </div></li>
5. ESEC/FSE’23

   

   NeuRI: Diversifying DNN Generation via Inductive Rule Inference

   Jiawei Liu, Jinjun Peng, Yuyao Wang,  and Lingming Zhang

   Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. 2023

   🏆 &#160ACM SIGSOFT Distinguished Paper Award

   PAPER Bib Slides Artifact

   @inproceedings{liu2023neuri,
     title = {NeuRI: Diversifying DNN Generation via Inductive Rule Inference},
     author = {Liu, Jiawei and Peng, Jinjun and Wang, Yuyao and Zhang, Lingming},
     year = {2023},
     isbn = {9798400703270},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3611643.3616337},
     doi = {10.1145/3611643.3616337},
     booktitle = {Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering},
     pages = {657--669},
     numpages = {13},
     location = {San Francisco, CA, USA},
     series = {ESEC/FSE 2023},
   }

6. 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

   🏆 &#160Distinguished Artifact Award

   PAPER Bib Poster Slides Artifact </div>

   @inproceedings{liu2023nnsmith,
     title = {NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers},
     author = {Liu, Jiawei and Lin, Jinkun and Ruffy, Fabian and Tan, Cheng and Li, Jinyang and Panda, Aurojit and Zhang, Lingming},
     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},
   }

   </div> </div></li></ol>

   2022

   1. 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

      PAPER Bib 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},
      }

   2021

   1. MM’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

      PAPER Bib

      @inproceedings{guo2021fast,
        author = {Guo, Yixiao and Liu, Jiawei and Li, Guo and Mai, Luo and Dong, Hao},
        title = {Fast and Flexible Human Pose Estimation with HyperPose},
        year = {2021},
        isbn = {9781450386517},
        publisher = {Association for Computing Machinery},
        address = {New York, NY, USA},
        url = {https://doi.org/10.1145/3474085.3478325},
        doi = {10.1145/3474085.3478325},
        booktitle = {Proceedings of the 29th ACM International Conference on Multimedia},
        pages = {3763--3766},
        numpages = {4},
        keywords = {computer vision, high-performance computing, pose estimation},
        location = {Virtual Event, China},
        series = {MM '21},
      }

   </div>