Full Publications (Google Scholar)
Please see here for the publication list with main contribution. (* Co-first author, ** Corresponding author)
Tutorial
| AAAI'26 |
Toward Foundation Models for Detecting Abnormal Activities on Graphs
[Website]
[Project]
[Slides]
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 |
| ICAIF'25 |
Robust Graph Learning in Finance
[Website]
Xiang Ao, Yang Liu, Guansong Pang, Yuanhao Ding, Hezhe Qiao, Dawei Cheng, Qing He |
| WecConf'26 |
Robust Graph Learning in Finance
[Website]
Xiang Ao, Yang Liu, Guansong Pang, Yuanhao Ding, Hezhe Qiao, Dawei Cheng, Qing He |
Preprints
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TimeRadar: A Domain-Rotatable Foundation Model for Time Series Anomaly Detection (2026)
[PDF]
[Code] Hui He*, Hezhe Qiao*, Yutong Chen, Kun Yi, Guansong Pang |
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Identifying Good and Bad Neurons for Task-Level Controllable LLMs (2026)
[PDF]
[Code] Wenjie Li, Guansong Pang, Hezhe Qiao, Debin Gao, David Lo |
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Normality Calibration in Semi-supervised Graph Anomaly Detection (2025)
[PDF]
[Code] Zeng Guolei*, Hezhe Qiao*, Guoguo Ai, Jinsong Guo, Guansong Pang |
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Toward Robust Semi-supervised Regression via Dual-stream Knowledge Distillation (2025)
[PDF]
[Code] Ye Su, Hezhe Qiao**, Wei Huang, Lin Chen |
2026
| TKDE'26 |
Clique Annealing: Semi-supervised Community Detection under Crystallization Kinetics
[PDF]
[Code] Ling Cheng, Jiashu Pu, Ruicheng Liang, Qian Shao, Hezhe Qiao, Feida Zhu |
2025
| TKDE'25 |
SSD: Self-supervised Distillation for Heterophilic Graph Representation Learning
[PDF]
[Code] Yuan Gao, Yuchen Li, Bingsheng He, Hezhe Qiao, Guoguo Ai, Hui Yan |
| 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] Hezhe Qiao*, Chaoxi Niu*, Ling Chen, Guansong Pang |
| ICML'25 |
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
[PDF]
[Code] Guoguo Ai, Guansong Pang, Hezhe Qiao, Yuan Gao, Hui Yan |
| IJCAI'25 |
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
[PDF]
[Code] Chaoxi Niu*, Hezhe Qiao*, Changlu Chen, Ling Chen, Guansong Pang |
| TMC'25 |
Towards Diverse Tiny-Model Selection for Microcontrollers (2025)
[PDF]
[Code] Xiao Ma, Shengfeng He, Hezhe Qiao, Dong Ma |
2024
| NeurIPS'24 |
Generative Semi-supervised Graph Anomaly Detection
[PDF]
[Code]
[Slides] Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang |
| PerCom'24 Best Paper |
DITMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers
[PDF]
[Code] Xiao Ma, Shengfeng He, Hezhe Qiao, Dong Ma |
2023
| NeurIPS'23 |
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
[PDF]
[Code]
[Slides] Hezhe Qiao, Guansong Pang |