🎉 One paper accepted by CIKM 2025
We have one paper, titled “Give Me Some SALT Structure-Aware Link Modeling for Temporal Weighted Link Prediction”, accepted by CIKM 2025. Congrats to Ting.
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.
[Ph.D./MPhil Positions Available] I am looking for self-motivated students in AI for DB, AI for Science, and Data Meets LLMs. Multiple scholarships ($37k/year plus tuition fee waive) for Ph.D. students are available. If interested, please send me an email (hanchen.wang at uts.edu.au) with your CV and transcripts. You can also fill out the Expression of Interest form.
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
đź“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
🎉 VLDB Tutorial
We have one tutorial, titled “Machine Learning for Graph Data Management and Query Processing”, accepted by VLDB 2025. I will be the presenter. See you in London.
🎉 New Position at UTS
I joined the Data Intelligence Lab at AAII, UTS as an ARC DECRA Fellow and lecturer (Continuing position).
Recent Publications
(2025).
Machine Learning for Graph Data Management and Query Processing.
International Conference on Very Large Data Bases (VLDB) 2025 (Tutorial).
(2025).
Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN.
CoRR.
(2025).
Predicting Membrane Fouling of Submerged Membrane Bioreactor Wastewater Treatment Plants Using Machine Learning.
Environmental Science & Technology.
(2025).
AIGC for Graphs: Current Techniques and Future Trends.
IEEE International Conference on Data Engineering (ICDE) 2025.
(2025).
Covering K-Cliques in Billion-Scale Graphs.
Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025.
🎓 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.
🧑‍🎓 Supervision
I am very honoured to work with the talented students. Below is a list of the students I’m currently supervising. The full list of my supervision can be found here.
PhD Students
UTS: Yuxin Jin
UNSW: Guangxin Su, Runze Li, Zhouyang Xie, Dejun Kong (SJTU & UNSW), Jiadong Chen (SJTU & UNSW), Xiaoxian Liu, Guangjian Zhang, Xingyu Tan, Yiheng Hu, Mengting Pan
MPhil Students
Yifan Zhu (UNSW), Shenghao Xu (UTS)
Research Project Students
Xinyi Li, Jueying Huang
Informal Supervision
Jianke Yu, Han Chen, Wei Huang, Yijia Mi, Shaozhen Ma, Yuanyuan Zhou, Yang Yang, Shiqi Yang