Zirui Liu

Selected Publications

2025

1. arXiv

   xLLM Technical Report

   Tongxuan Liu, Tao Peng, Peijun Yang, Xiaoyang Zhao, Xiusheng Lu, Weizhe Huang, Zirui Liu, Xiaoyu Chen, Zhiwei Liang, Jun Xiong, and 42 more authors

   arXiv preprint 2510.14686, Oct 2025

   arXiv Bib PDF Code

   @article{liu2025xllm,
     title = {xLLM Technical Report},
     author = {Liu, Tongxuan and Peng, Tao and Yang, Peijun and Zhao, Xiaoyang and Lu, Xiusheng and Huang, Weizhe and Liu, Zirui and Chen, Xiaoyu and Liang, Zhiwei and Xiong, Jun and Jin, Donghe and Zhang, Minchao and Guo, Jinrong and Deng, Yingxu and Zhang, Xu and Dong, Xianzhe and Wang, Siqi and Wu, Siyu and Wu, Yu and Tang, Zihan and Zeng, Yuting and Wang, Yanshu and Liu, Jinguang and Kang, Meng and Li, Menxin and Wang, Yunlong and Liu, Yiming and Ma, Xiaolong and Wang, Yifan and Zhang, Yichen and Yin, Jinrun and Zheng, Keyang and Yin, Jiawei and Zhang, Jun and Wang, Ziyue and Lin, Xiaobo and Liu, Liangyu and Lan, Liwei and Liu, Yang and Peng, Chunhua and Liu, Han and Ren, Songcheng and Wang, Xuezhu and Shen, Yunheng and Wang, Yi and Liu, Guyue and Chen, Hui and Yang, Tong and Yang, Hailong and Li, Jing and Ding, Guiguang and Zhang, Ke},
     journal = {arXiv preprint 2510.14686},
     year = {2025},
   }

2024

1. SIGMOD

   CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models (Honorable Mention for Best Artifact)

   Hailin Zhang#, Zirui Liu#, Boxuan Chen, Yikai Zhao, Tong Zhao, Tong Yang, and Bin Cui

   In Proceedings of the 2024 ACM International Conference on Management of Data (SIGMOD), Jun 2024

   Bib PDF Code

   @article{zhang2024cafe,
     title = {CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models <font color="red">(Honorable Mention for Best Artifact)</font>},
     author = {Zhang, Hailin and Liu, Zirui and Chen, Boxuan and Zhao, Yikai and Zhao, Tong and Yang, Tong and Cui, Bin},
     journal = {In Proceedings of the 2024 ACM International Conference on Management of Data (SIGMOD)},
     year = {2024},
     publisher = {ACM New York, NY, USA},
   }

2023

1. TPDS

   BurstBalancer: Do Less, Better Balance for Large-scale Data Center Traffic

   Zirui Liu#, Yikai Zhao#, Zhuochen Fan#, Tong Yang, Xiaodong Li, Ruwen Zhang, Kaicheng Yang, Zihan Jiang, Zheng Zhong, Yi Huang, and 4 more authors

   IEEE Transactions on Parallel and Distributed Systems, Jul 2023

   Bib PDF Code

   @article{liu2023burstbalancer,
     title = {BurstBalancer: Do Less, Better Balance for Large-scale Data Center Traffic},
     author = {Liu, Zirui and Zhao, Yikai and Fan, Zhuochen and Yang, Tong and Li, Xiaodong and Zhang, Ruwen and Yang, Kaicheng and Jiang, Zihan and Zhong, Zheng and Huang, Yi and Liu, Cong and Hu, Jing and Xie, Gaogang and Cui, Bin},
     journal = {IEEE Transactions on Parallel and Distributed Systems},
     year = {2023},
     publisher = {IEEE},
   }

2. SIGMOD

   TreeSensing: Linearly Compressing Sketches with Flexibility

   Zirui Liu, Yixin Zhang, Yifan Zhu, Ruwen Zhang, Tong Yang, Kun Xie, Sha Wang, Tao Li, and Bin Cui

   In Proceedings of the 2023 ACM International Conference on Management of Data (SIGMOD), Jun 2023

   Bib PDF Code

   @article{liu2023treesensing,
     title = {TreeSensing: Linearly Compressing Sketches with Flexibility},
     author = {Liu, Zirui and Zhang, Yixin and Zhu, Yifan and Zhang, Ruwen and Yang, Tong and Xie, Kun and Wang, Sha and Li, Tao and Cui, Bin},
     journal = {In Proceedings of the 2023 ACM International Conference on Management of Data (SIGMOD)},
     volume = {1},
     number = {1},
     pages = {1--28},
     year = {2023},
     publisher = {ACM New York, NY, USA},
     doi = {10.1145/3588910},
   }