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Jiarui Guo

郭嘉睿
Ph.D. Student
Peking University

Education

Ph.D. in Computer Science

Peking University
Sept. 2023 - Present

B.Sc. in Computer Science & Mathematics

Peking University
Sept. 2019 - Jun. 2023

Working Experience

Research Intern

Infinigence AI
Dec. 2024 - Present

Research Intern

Baichuan Intelligent Technology
Apr. 2024 - Dec. 2024

Research Intern (Remote)

Theory Lab, Huawei Technologies
Sept. 2023 - Apr. 2024

Biography

I am a Ph.D. student in School of Computer Science at Peking University, advised by Prof. Xiaolin Wang and Prof. Tong Yang. My research interests include inference optimization in LLM, quantization algorithms for large models, and sketching algorithms in data streams. I also work as a research intern at Infinigence AI. Before I start my Ph.D. degree, I received my bachelor degree in Computer Science and Mathematics at Peking University in 2023.

Publications

Google Scholar

  • HourglassSketch: An Efficient and Scalable Framework for Graph Stream Summarization
    • Jiarui Guo, Boxuan Chen, Kaicheng Yang, Tong Yang, Zirui Liu, Qiuheng Yin, Sha Wang, Yuhan Wu, Xiaolin Wang, Bin Cui, Tao Li, Xi Peng, Renhai Chen, Gong Zhang
    2025 IEEE 41st International Conference on Data Engineering (ICDE '25). May. 2025
  • CuckooGraph: A Scalable and Space-Time Efficient Data Structure for Large-Scale Dynamic Graphs
    • Zhuochen Fan, Yalun Cai, Zirui Liu, Jiarui Guo, Xin Fan, Tong Yang, Bin Cui
    2025 IEEE 41st International Conference on Data Engineering (ICDE '25). May. 2025
  • SteadySketch: A High-Performance Algorithm for Finding Steady Flows in Data Streams
    • Zhuochen Fan, Xiangyuan Wang, Xiaodong Li, Jiarui Guo, Wenrui Liu, Haoyu Li, Sheng Long, Zheng Zhong, Tong Yang, Xuebin Chen, Bin Cui
    IEEE/ACM Transactions on Networking (ToN). Aug. 2024
  • Enabling Space-Time Efficient Range Queries with REncoder
    • Zhuochen Fan, Bowen Ye, Ziwei Wang, Zheng Zhong, Jiarui Guo, Yuhan Wu, Haoyu Li, Tong Yang, Yaofeng Tu, Zirui Liu, Bin Cui
    The International Journal on Very Large Data Bases (VLDBJ). Aug. 2024
  • SketchPolymer: Estimate Per-item Tail Quantile Using One Sketch
    • Jiarui Guo, Yisen Hong, Yuhan Wu, Yunfei Liu, Tong Yang, Bin Cui
    Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '23). Aug. 2023
  • SteadySketch: Finding Steady Flows in Data Streams
    • Xiaodong Li, Zhuochen Fan, Haoyu Li, Zheng Zhong, Jiarui Guo, Sheng Long, Tong Yang, Bin Cui
    2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS '23). Jun. 2023
  • PISketch: Finding Persistent and Infrequent Flows
    • Zhuochen Fan, Zhoujing Hu, Yuhan Wu, Jiarui Guo, Sha Wang, Wenrui Liu, Tong Yang, Yaofeng Tu, Steve Uhlig
    IEEE/ACM Transactions on Networking (ToN). May. 2023
  • Finding Simplex Items in Data Streams
    • Zhuochen Fan, Jiarui Guo, Xiaodong Li, Tong Yang, Yikai Zhao, Yuhan Wu, Bin Cui, Yanwei Xu, Steve Uhlig, Gong Zhang
    2023 IEEE 39th International Conference on Data Engineering (ICDE '23). Apr. 2023
  • REncoder: A Space-Time Efficient Range Filter with Local Encoder
    • Ziwei Wang, Zheng Zhong, Jiarui Guo, Yuhan Wu, Haoyu Li, Tong Yang, Yaofeng Tu, Huanchen Zhang, Bin Cui
    2023 IEEE 39th International Conference on Data Engineering (ICDE '23). Apr. 2023
  • BurstSketch: Finding Bursts in Data Streams
    • Ruijie Miao, Zheng Zhong, Jiarui Guo, Zikun Li, Tong Yang, Bin Cui
    IEEE Transactions on Knowledge and Data Engineering (TKDE). Nov. 2022
  • PISketch: Finding Persistent and Infrequent Flows
    • Zhuochen Fan, Zhoujing Hu, Yuhan Wu, Jiarui Guo, Wenrui Liu, Tong Yang, Hengrui Wang, Yifei Xu, Steve Uhlig, Yaofeng Tu
    Proceedings of the ACM SIGCOMM 2022 Workshop on Formal Foundations and Security of Programmable Network Infrastructures (FFSPIN '22). Aug. 2022