š Agentic AI Survey & ICDE 2026 Tutorial
We released a comprehensive survey “Data in Agentic AI” and a corresponding ICDE 2026 tutorial “Data-Centric Foundations of Agentic AI”. Congrats to Yuxin.
About Me
I am currently an ARC DECRA Fellow and lecturer at Australian Artificial Intelligence Institute (AAII), University of Technology Sydney. I am also an Adjunct Lecturer at The University of New South Wales and an Associate Investigator of ARC Centre of Excellence for the Mathematical Analysis of Cellular Systems (MACSYS). Before joining UTS, I was a postdoctoral research fellow at Data and Knowledge Research Group at The University of New South Wales, supervised by Prof. Wenjie Zhang. I obtained my Ph.D. degree in Computer Science from the University of Technology Sydney in November 2021, advised by Prof.Ying Zhang and Prof.Lu Qin. I received my bachelor’s degree in Mathematics and Applied Mathematics from Zhejiang University in July 2016. Find out more about me here.
Interests
- Data Meets Large Language Models
- Artificial Intelligence for Database
- Artificial Intelligence for Science
- Artificial Intelligence for Social Good
Education
Ph.D. in Computer Science
University of Technology Sydney
BSc in Mathematics and Applied Mathematics
Zhejiang University
š My Research
My research focuses on developing machine learning algorithms that advance the frontiers of science.
I am particularly interested in the interplay between data and large language models,how data management can be better utilized to enhance LLMs, and how LLMs, in turn, can improve data management. I also design machine learning models to support scientific discovery and generate societal impact, with applications in areas such as biology, trustworthy financial systems, water quality prediction, and hydrology.
Recent News
š One paper accepted by ICML 2026
We have one paper, titled “Towards Generative Graph Matching for Graph Edit Distance Computation”, accepted by ICML 2026. Congrats to Wei.
š One paper accepted by TKDE 2026
We have one paper, titled “MGDN: A Graph of Graphs Neural Network for Malware Detection”, accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE) 2026.
š One paper accepted by EDBT 2026
We have one paper, titled “Accelerating K-Core Computation in Temporal Graphs”, accepted by EDBT 2026. Congrats to Zhuo.
š One paper accepted by Information Sciences
We have one paper, titled “Finding critical users in social networks with reinforcement learning”, accepted by Information Sciences. Congrats to Xulu.
Recent Publications
(2026).
Data-Centric Foundations of Agentic AI.
IEEE International Conference on Data Engineering (ICDE) 2026 (Tutorial).
(2026).
Towards Generative Graph Matching for Graph Edit Distance Computation.
International Conference on Machine Learning (ICML) 2026.
(2026).
MGDN: A Graph of Graphs Neural Network for Malware Detection.
IEEE Transactions on Knowledge and Data Engineering (TKDE) 2026.
(2026).
Data in Agentic AI: A Comprehensive Survey.
TechRxiv (Preprint).
(2026).
Accelerating K-Core Computation in Temporal Graphs.
29th International Conference on Extending Database Technology (EDBT) 2026.
š Academic Services
Organizing Committee:
- Local Chair of ADC 2025
- Publicity Chair of LSGDA 2024 and LSGDA 2025
Program Committee Member:
- ICDE 2026, KDD 2026, etc.
- ICDE 2025, NeurIPS 2025, KDD 2025 (Outstanding Reviewer), IJCAI 2025, CIKM 2025, ICDM 2025, APWeb-WAIM 2025, etc.
- KDD 2024, IJCAI 2024, NeurIPS 2024, SDM 2024, ICDM 2024, CIKM 2024, WISE 2024, DASFAA 2024, ADC 2024, APWeb-WAIM 2024, etc.
- KDD 2023, IJCAI 2023, WISE 2023, ADC 2023, CIKM 2023, etc.
- AAAI 2022, IJCAI 2022, ICDE 2022 (TKDE Poster track), WISE 2022, etc.
- WISE 2021 etc.
Editorial Board:
Intelligent Computing (Guest Editor, Special Issue on “AI Empowered Graph Computing”).
Invited Journal Reviewer:
TKDE, VLDBJ, TOIS, TNNLS, WWWJ, BMC Bioinformatics, Scientific Reports, etc.
š§āš Supervision
I am very honoured to work with the talented students. Below is a list of the students Iām currently supervising. The full list of my supervision can be found here.
PhD Students
UTS: Yuxin Jin, Shulun Chen, Kuiye Ding, Zhehao Dai
UNSW: Runze Li, Zhouyang Xie, Dejun Kong (SJTU & UNSW), Xiaoxian Liu, Guangjian Zhang, Xingyu Tan, Yiheng Hu, Mengting Pan
MPhil Students
Yifan Zhu (UNSW), Shenghao Xu, Kaiyu Deng, Siyuan Zhang
Informal Supervision
Jianke Yu, Han Chen, Wei Huang, Yijia Mi, Shaozhen Ma, Yuanyuan Zhou, Yang Yang, Shiqi Yang