Welcome to Xiaoke ZHU’s Homepage
Xiaoke Zhu, pronounced as “Hsiǎo K‘o Chū” in Wade-Giles romanization, is currently a Phd candidate at Beihang University (BUAA), supervised by Prof. Wenfei Fan. He received his master degree at Yunnan University (YNU) in 2020.
I am looking for a postdoctoral position. If you are interested, please contact me.Research Interests
My research interests are broadly in the field of graph systems, parallel computing and data cleaning with an emphasis on optimizing runtime systems under single machine and heterogeneous architectures. Currently, my focus is on building large-scale graph systems by leveraging modern hardware such as GPU.
News
- (2023/04) Our MiniGraph: Querying Big Graphs with a Single Machine paper was accepted to VLDB 2023.
- (2022/02) Our Deep and Collective Entity Resolution in Parallel paper was accepted to ICDE 2022.
- (2021/09) I joined Shenzhen Institute of Computing Science (SICS) as a research intern.
- (2021/07) Our DLB: Deep Learning Based Load Balancing paper was accepted to CLOUD 2021.
Talks
- “MiniGraph: Querying Big Graphs with a Single Machine”
- Great Bay Area Digital Tech Workshop, June 2023
- VLDB conference, September 2023
- “DLB: Deep Learning Based Load Balancing”
- IEEE CLOUD conference, September 2021