Junhao Zhu

About Me

Hello there! My name is Junhao Zhu (朱俊豪), a third-year Ph.D. student at Zhejiang University, advised by Prof. Lu Chen. I am also working closely with Prof. Yunjun Gao and Prof. Yuren Mao. Before that, I received my B.E. degree from Jianxing honor college, Zhejiang University of Technology, in 2022, advised by Prof. Qi Xuan. Here is my CV.

My research insterests revolve around data lake management and data-centric AI. I am working on applying AI to data lake management (e.g., entity matching, query processing over data lake) and improving AI from a data-centric perspective (e.g., data quality, data discovery).

News

[Nov. 2024] Our paper about data quality assessment is accepted to VLDB 2025.
[Aug. 2024] Give a talk about our FusionQuery at VLDB 2024.
[Jan. 2024] Our paper about query processing over data lake is accepted to VLDB 2024.

Publications [Google Scholar][DBLP]

VLDB'25

T-Assess: An Efficient Quality Assessment System Tailored for Trajectory Data

Junhao Zhu, Tao Wang, Danlei Hu, Ziquan Fang, Lu Chen, Yunjun Gao, Tianyi Li, Christian S. Jensen

Proceedings of the VLDB Endowment (VLDB), 2025.

Code Tech Report

VLDB'24

FusionQuery: On-demand Fusion Queries over Multi-source Heterogeneous Data

Junhao Zhu, Yuren Mao, Lu Chen, Congcong Ge, Ziheng Wei, Yunjun Gao

Proceedings of the VLDB Endowment (VLDB), 2024.

PDF Code Slides

VLDB'23

PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching

Pengfei Wang, Xiaocan Zeng, Lu Chen, Fan Ye, Yuren Mao, Junhao Zhu, Yunjun Gao

Proceedings of the VLDB Endowment (VLDB), 2023.

PDF Code

About Me

News

Publications [Google Scholar][DBLP]

Talks

FusionQuery: On-demand Fusion Queries over Multi-source Heterogeneous Data

Weak Supervision for Entity Matching