Publications
Conference papers
** indicates that author names or major contributors are listed in alphabetical order. You can also find my articles on my Google Scholar profile.
2026
Wenfei Fan, Yixuan Luo, Ping Lu, Xiaoke Zhu**,
Enumerating Graph Pattern Matches with ML Oracles,
The 2026 ACM Conference on Management of Data (SIGMOD 2026) [Paper]
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] [Slides]
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] [Slides]
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]
PhD Dissertation
Research on Efficient Large-Scale Graph Data Querying Technologies for Single-Machine Systems
A thesis submitted for the Degree of Doctor of Philosophy to the Beihang Univeristy.