@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},}
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 and 9 more authors
@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},}
NeurIPS’23
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
@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},}
ASPLOS’23
NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers
@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
MM’21 OSC
Fast and Flexible Human Pose Estimation with HyperPose
@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},}