Refereed Publications (Google Scholar)
Please see my Google Scholar or here for full publication list. (* Co-first author, ** Corresponding author)
Tutorial
| AAAI'26 |
Toward Foundation Models for Detecting Abnormal Activities on Graphs
[Website]
[Project]
Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu Aggarwal, Guansong Pang |
| IJCAI'25 |
Deep Learning for Graph Anomaly Detection
[Website]
[Project]
[Slides] Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu Aggarwal, Guansong Pang |
Preprints
|
Normality Calibration in Semi-supervised Graph Anomaly Detection (2025)
[PDF]
[Code] Zeng Guolei*, Hezhe Qiao*, Guoguo Ai, Jinsong Guo, Guansong Pang |
2025
| NeurIPS'25 |
Semi-supervised Graph Anomaly Detection via Robust Homophily Learning
[PDF]
[Code] Guoguo Ai*, Hezhe Qiao*, Hui Yan, Guansong Pang |
| TKDE'25 |
Deep Graph Anomaly Detection: A Survey and New Perspectives
[PDF]
[Code] Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu Aggarwal, Guansong Pang |
| KDD'25 |
AnomalyGFM:Graph Foundation Model for Zero/Few-shot Anomaly Detection
[PDF]
[Code]
[Slides] Hezhe Qiao*, Chaoxi Niu*, Ling Chen, Guansong Pang |
| IJCAI'25 |
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
[PDF]
[Code] Chaoxi Niu*, Hezhe Qiao*, Changlu Chen, Ling Chen, Guansong Pang |
2024
| NeurIPS'24 |
Generative Semi-supervised Graph Anomaly Detection
[PDF]
[Code]
[Slides] Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang |
2023
| NeurIPS'23 |
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
[PDF]
[Code]
[Slides] Hezhe Qiao, Guansong Pang |