Publications

** indicates that author names or major contributors are listed in alphabetical order. You can also find my articles on my Google Scholar profile.

2025

• Wenchao Bai, Wenfei Fan, Shuhao Liu, Kehan Pang, Xiaoke Zhu**, Jiahui Jin,
  GPU-Accelerated Graph Cleaning with a Single Machine,
  The 2025 ACM Conference on Management of Data (SIGMOD 2025) [Paper]

• Yang Liu, Wenfei Fan, Shuhao Liu, Xiaoke Zhu, Jianxin Li,
  A Single Machine System for Querying Big Graphs with PRAM,
  The 51th International Conference on Very Large Data Bases (VLDB 2025) [Paper] [Source Code]

• Xiaoke Zhu, Min Xie, Ting Deng, Qi Zhang,
  HyperBlocker: Accelerating Rule-based Blocking in Entity Resolution using GPUs,
  The 51th International Conference on Very Large Data Bases (VLDB 2025) [Paper] [Source Code]

2024

• Xiaoke Zhu, Qi Zhang, Wei Zhou and Ling Liu,
  Deep Learning Service for Efficient Data Distribution Aware Sorting,
  The 12th International Conference on Big Data (BigData 2024) [Paper] [Slides]

2023

• Xiaoke Zhu, Yang Liu, Shuhao Liu, and Wenfei Fan,
  MiniGraph: Querying Big Graphs with a Single Machine,
  The 49th International Conference on Very Large Data Bases (VLDB 2023) [Paper] [Source Code] [Slides]

2022

• Ting Deng, Wenfei Fan, Ping Lu, Xiaomeng Luo, Xiaoke Zhu**, and Wanhe An,
  Deep and collective entity resolution in parallel,
  The 38th International Conference on Data Engineering (ICDE 2022) [Paper]

2021

• Xiaoke Zhu, Qi Zhang, Taining Cheng, Ling Liu, Wei Zhou, and Jing He,
  DLB: Deep Learning Based Load Balancing,
  The 14th International Conference on Cloud Computing (CLOUD 2021) [Paper] [Source Code]