Zirui Liu

I am a third-year PhD student in School of Computer Science at Peking University, advised by Prof. Bin Cui and Prof. Tong Yang. My research interest lies in interesting data structures and probablistic algorithms, as well as their application in network measurement, network management, streaming data mining, and distributed machine learning systems.

I received my B.S. degree in Computer Science from Yuanpei College , Peking University in 2021.

I have been working as a research intern at Datacom Forwarding Algorithm Lab of Huawei, Beijing, since Oct. 2021.

Selected Publications

2024

SIGMOD

CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models

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 Code

@article{zhang2024cafe,
  title = {CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models},
  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

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, and 5 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},
}

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},
}

ICDE

HyperCalm Sketch: One-pass Mining Periodic Batches in Data Streams

Zirui Liu#, Chaozhe Kong#, Kaicheng Yang#, Tong Yang, Ruijie Miao, Qizhi Chen, Yikai Zhao, Yaofeng Tu, and Bin Cui

In Proceedings of the IEEE 39th International Conference on Data Engineering (ICDE), Apr 2023

Bib PDF Code

@inproceedings{liu2023hypercalm,
  title = {HyperCalm Sketch: One-pass Mining Periodic Batches in Data Streams},
  author = {Liu, Zirui and Kong, Chaozhe and Yang, Kaicheng and Yang, Tong and Miao, Ruijie and Chen, Qizhi and Zhao, Yikai and Tu, Yaofeng and Cui, Bin},
  booktitle = {Proceedings of the IEEE 39th International Conference on Data Engineering (ICDE)},
  year = {2023},
  organization = {IEEE},
}