Greetings! Thanks for coming to my homepage.
I am currently a Postdoc Research Fellow in the School of Computing, Macquarie University, Australia, where I obtained my Ph.D. in 2024 and M.Res. in 2020, supervised by Assoc. Prof. Jia Wu and Prof. Jian Yang. I am also a visiting scientist working with CSIRO’s Data61, Australia.
My research interests include graph mining, anomaly detection, trustworthy AI/ML, and social network analysis.
News
- 10/2024: One paper on residual analysis for graph anomaly detection with Xiaoxiao is accepted as a regular paper by IEEE Trans. Knowl. Data Eng. (TKDE) following a single round of revision.
- 10/2024: Awarded the Vice-Chancellor’s Commendation for Academic Excellence, Macquarie University.
- 10/2024: Invited to serve as PC member of the ACM WebConf 2025 Industry Track.
- 09/2024: Invited to serve as PC member of the AAAI 2025 Demo Track.
- 05/2024: One paper on data-centric graph anomaly detection with Xiaoxiao is accepted by KDD 2024.
- 02/2024: Invited to serve as PC member for the IJCAI 2024 Survey Track.
- 01/2023: Our paper is awarded the Most Influential IJCAI Papers (Ranked 1st among IJCAI-20 papers).
- IJCAI-20: Deep Learning for Community Detection: Progress, Challenges and Opportunities
- 01/2023: Invited to serve as PC member for the IJCAI 2023 Survey Track.
- 09/2022: One paper on graph anomaly detection with Xiaoxiao is accepted as a regular paper by IEEE ICDM 2022 (acceptance rate: 9.77%).
- 08/2022: Invited to present a poster in VLDB 2022 for our paper eRiskCom: An E-commerce Risky Community Detection Platform (Poster).
- 08/2022: Our GitHub repository Awesome-Deep-Community-Detection gets 200 stars!
- 03/2022: Our survey A Comprehensive Survey on Community Detection with Deep Learning is published by IEEE TNNLS (early access here).
- 01/2022: Our paper eRiskCom: An E-commerce Risky Community Detection Platform is published by The VLDB Journal (here).
- 11/2021: Invited to serve as PC member for the IJCAI-ECAI 2022 Survey Track.
