Junhao Zhu | Zhejiang University

About Me

Hello there! My name is Junhao Zhu (朱俊豪), a forth-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 integration, semantic query processing over data lake) and improving AI from a data-centric perspective (e.g., data quality, data discovery).

News

[Jan. 2026] Our paper about DataPrep Agent is under revision of VLDB 2026.
[Nov. 2025] Our paper about LLM-powered semantic data analytics is accepted to SIGMOD 2026.
[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]

SIGMOD'26

Beyond Relational: Semantic-Aware Multi-modal Analytics with LLM-Native Query Optimization

Junhao Zhu, Lu Chen, Xiangyu Ke, Ziquan Fang, Tianyi Li, Yunjun Gao, Christian S. Jensen

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2026.

ArXiv Code

ArXiv

AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generation

Fengyu Li, Yilin Li, Junhao Zhu, Lu Chen, Yanfei Zhang, Jia Zhou, Hui Zu, Jingwen Zhao, Yunjun Gao

ArXiv preprint

ArXiv Code

SIGKDD'25

Toast: Task-Oriented Multi-dimensional Augmentation for Spatio-Temporal Trajectory Data

Junhao Zhu, Tao Wang, Lu Chen, Ziquan Fang, Yunjun Gao, Tianyi Li

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2025.

PDF Code

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

Talks

Nirvana: A LLM-powered Semantic Data Processing Computing Framework

Alibaba, Dec. 2025

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

VLDB'24 Conference Talk, Aug. 2024
Huawei in Hangzhou, Jun. 2023

Weak Supervision for Entity Matching

Huawei in Hangzhou, Apr. 2023