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

	Semi-supervised Graph Anomaly Detection via Robust Homophily Learning (2025) [PDF] [Code] Guoguo Ai*, Hezhe Qiao*, Hui Yan, Guansong Pang
	Toward Generalist Semi-supervised Regression via Decoupled Representation Distillation (2025) [PDF] [Code] Ye Su*, Hezhe Qiao*, Wei Huang, Lin Chen

2025

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	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