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.
Email: hanchen.wang [at] uts.edu.au
Ph.D. in Computer Science
University of Technology Sydney
BSc in Mathematics and Applied Mathematics
Zhejiang University
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 and water quality prediction.
I have been elected as an academic staff member (representing the School of Computer Science) of the Faculty Board in Engineering and Information Technology (FEIT) at UTS. The term commences on 1 January 2027.
We have two papers accepted by IEEE ICDM 2026 (CORE A*): “UniCom: A Unified Framework for Community Search and Detection via Transfer Learning” (congrats to Yifan) and “FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation” (congrats to Runze).
We have one paper, titled “Algebraic Subgraph Counting”, accepted by ACM SIGMOD 2027 (Research Round 1). Congrats to Qiuyu.
We have one paper, titled “HYDRA: Proactive Android Malware Drift Adaptation via Hierarchical Graph Contrastive Learning”, accepted by ACM CCS 2026. Congrats to Han.
We released a comprehensive survey “Data in Agentic AI” and a corresponding ICDE 2026 tutorial “Data-Centric Foundations of Agentic AI”. Congrats to Yuxin.
Organizing Committee:
University Service:
Program Committee Member:
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.
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.
UTS: Yuxin Jin, Shulun Chen, Kuiye Ding, Zhehao Dai
UNSW: Runze Li, Zhouyang Xie, Xiaoxian Liu, Guangjian Zhang, Xingyu Tan, Yiheng Hu, Mengting Pan, Yifan Zhu
Shenghao Xu, Kaiyu Deng, Siyuan Zhang, Wei Cao
Jianke Yu, Han Chen, Wei Huang, Yijia Mi, Shaozhen Ma, Yuanyuan Zhou, Yang Yang
