Jiawei Liu

@article{liu2024learning,
  title = {Learning Code Preference via Synthetic Evolution},
  author = {Liu, Jiawei and Nguyen, Thanh and Shang, Mingyue and Ding, Hantian and Li, Xiaopeng and Yu, Yu and Kumar, Varun and Wang, Zijian},
  journal = {arXiv preprint arXiv:2410.03837},
  year = {2024},
}

@inproceedings{liu2024evaluating,
  title = {Evaluating Language Models for Efficient Code Generation},
  author = {Liu, Jiawei and Xie, Songrun and Wang, Junhao and Wei, Yuxiang and Ding, Yifeng and Zhang, Lingming},
  booktitle = {First Conference on Language Modeling},
  year = {2024},
  url = {https://openreview.net/forum?id=IBCBMeAhmC},
}

@inproceedings{wei2023magic,
  title = {Magicoder: Empowering Code Generation with {OSS}-Instruct},
  author = {Wei, Yuxiang and Wang, Zhe and Liu, Jiawei and Ding, Yifeng and Zhang, Lingming},
  booktitle = {Forty-first International Conference on Machine Learning},
  year = {2024},
  url = {https://openreview.net/forum?id=XUeoOBid3x},
}

@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},
}

@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},
}

@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},
}

@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},
}

@article{liu2024learning,
  title = {Learning Code Preference via Synthetic Evolution},
  author = {Liu, Jiawei and Nguyen, Thanh and Shang, Mingyue and Ding, Hantian and Li, Xiaopeng and Yu, Yu and Kumar, Varun and Wang, Zijian},
  journal = {arXiv preprint arXiv:2410.03837},
  year = {2024},
}

@inproceedings{liu2024evaluating,
  title = {Evaluating Language Models for Efficient Code Generation},
  author = {Liu, Jiawei and Xie, Songrun and Wang, Junhao and Wei, Yuxiang and Ding, Yifeng and Zhang, Lingming},
  booktitle = {First Conference on Language Modeling},
  year = {2024},
  url = {https://openreview.net/forum?id=IBCBMeAhmC},
}

@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},
}

@inproceedings{wei2023magic,
  title = {Magicoder: Empowering Code Generation with {OSS}-Instruct},
  author = {Wei, Yuxiang and Wang, Zhe and Liu, Jiawei and Ding, Yifeng and Zhang, Lingming},
  booktitle = {Forty-first International Conference on Machine Learning},
  year = {2024},
  url = {https://openreview.net/forum?id=XUeoOBid3x},
}

@article{ding2024xft,
  title = {XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts},
  author = {Ding, Yifeng and Liu, Jiawei and Wei, Yuxiang and Zhuo, Terry Yue and Zhang, Lingming},
  journal = {arXiv preprint arXiv:2404.15247},
  year = {2024},
}

@article{feng2024emerging,
  title = {Emerging Platforms Meet Emerging LLMs: A Year-Long Journey of Top-Down Development},
  author = {Feng, Siyuan and Liu, Jiawei and Lai, Ruihang and Ruan, Charlie F. and Yu, Yong and Zhang, Lingming and Chen, Tianqi},
  journal = {arXiv preprint arXiv:2404.09151},
  year = {2024},
}

@article{Lozhkov2024StarCoder2A,
  title = {StarCoder 2 and The Stack v2: The Next Generation},
  author = {Lozhkov, Anton and Li, Raymond and Allal, Loubna Ben and Cassano, Federico and Lamy-Poirier, Joel and Tazi, Nouamane and Tang, Ao and Pykhtar, Dmytro and Liu, Jiawei and Wei, Yuxiang and Liu, Tianyang and Tian, Max and Kocetkov, Denis and Zucker, Arthur and Belkada, Younes and Wang, Zijian and Liu, Qian and Abulkhanov, Dmitry and Paul, Indraneil and Li, Zhuang and Li, Wen-Ding and Risdal, Megan L. and Li, Jia and Zhu, Jian and Zhuo, Terry Yue and Zheltonozhskii, Evgenii and Dade, Nii Osae Osae and Yu, Wenhao and Krauss, Lucas and Jain, Naman and Su, Yixuan and He, Xuanli and Dey, Manan and Abati, Edoardo and Chai, Yekun and Muennighoff, Niklas and Tang, Xiangru and Oblokulov, Muhtasham and Akiki, Christopher and Marone, Marc and Mou, Chenghao and Mishra, Mayank and Gu, Alexander and Hui, Binyuan and Dao, Tri and Zebaze, Armel and Dehaene, Olivier and Patry, Nicolas and Xu, Canwen and McAuley, Julian and Hu, Han and Scholak, Torsten and Paquet, S{\'e}bastien and Robinson, Jennifer and Anderson, Carolyn Jane and Chapados, Nicolas and Patwary, Mostofa and Tajbakhsh, Nima and Jernite, Yacine and Ferrandis, Carlos Mu{\~n}oz and Zhang, Lingming and Hughes, Sean and Wolf, Thomas and Guha, Arjun and von Werra, Leandro and de Vries, Harm},
  journal = {arXiv preprint arXiv:2402.19173},
  year = {2024},
}

@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},
}

@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},
}

@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},
}

@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},
}

@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},
}

@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},
}