Publications & Preprints

2026

1. arXiv’26

   

   MobileKernelBench: Can LLMs Write Efficient Kernels for Mobile Devices?

   Xingze Zou^*, Jing Wang^*, Yuhua Zheng, and 8 more authors

   arXiv preprint arXiv:2602.11715, 2026

   arXiv Bib Website

   @article{zou2026mobilekernelbench,
     title = {MobileKernelBench: Can LLMs Write Efficient Kernels for Mobile Devices?},
     author = {Zou, Xingze and Wang, Jing and Zheng, Yuhua and Chen, Xueyi and Bai, Haolei and Kong, Lingcheng and Abu-Bakar, Syed AR and Wang, Zhaode and Lv, Chengfei and Hu, Haoji and Wang, Huan},
     journal = {arXiv preprint arXiv:2602.11715},
     year = {2026},
   }

2. arXiv’26

   

   DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

   Haolei Bai, Lingcheng Kong, Xueyi Chen, and 3 more authors

   arXiv preprint arXiv:2602.11715, 2026

   arXiv Bib Website

   @article{bai2026dice,
     title = {DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels},
     author = {Bai, Haolei and Kong, Lingcheng and Chen, Xueyi and Wang, Jianmian and Tao, Zhiqiang and Wang, Huan},
     journal = {arXiv preprint arXiv:2602.11715},
     year = {2026},
   }

3. CPAL’26

   

   ERC-SVD: Error-Controlled SVD for Large Language Model Compression

   Haolei Bai, Siyong Jian, Tuo Liang, and 2 more authors

   In Third Conference on Parsimony and Learning, 2026

   arXiv Bib Website

   @inproceedings{bai2026ercsvd,
     title = {ERC-SVD: Error-Controlled SVD for Large Language Model Compression},
     author = {Bai, Haolei and Jian, Siyong and Liang, Tuo and Yin, Yu and Wang, Huan},
     booktitle = {Third Conference on Parsimony and Learning},
     year = {2026},
   }