Full Publications (Google Scholar)
Please see here for the publication list with main contribution. (* Co-first author, ** Corresponding author)
Tutorial
| IJCAI'25 | Deep Learning for Graph Anomaly Detection [Website] [Project] Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu Aggarwal, Guansong Pang |
Preprints
| |
Deep Graph Anomaly Detection: A Survey and New Perspectives (2024) [PDF] [Code] Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu Aggarwal, Guansong Pang |
2025
| KDD'25 | Graph Foundation Model for Zero/Few-shot Anomaly Detection (2025) [PDF] [Code] Hezhe Qiao*, Chaoxi Niu*, Ling Chen, Guansong Pang |
| ICML'25 | GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers (2024) [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 |
| ICME'25 Oral |
Semantic-guided Representation Learning for Multi-Label Recognition
[PDF]
[Code] Ruhui Zhang, Hezhe Qiao**, Pengcheng Xu, Mingsheng Shang, Lin Chen |
| TMC'25 |
Towards Diverse Tiny-Model Selection for Microcontrollers (2025)
[PDF]
[Code] Xiao Ma, Shengfeng He, Hezhe Qiao, Dong Ma |
2024
| BIBM'24 |
Temporal Gaussian Copula For Clinical Multivariate Time Series Data Interpolation
[PDF]
[Code] Ye Su, Hezhe Qiao, Di Wu, Yuwen Chen, Lin Chen |
| NeurIPS'24 |
Generative Semi-supervised Graph Anomaly Detection
[PDF]
[Code]
[Slides] Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang |
| ICONIP'24 |
Temporal-contextual Event Learning for Pedestrian Crossing Intent Prediction
[PDF]
[Code] Hongbin Liang*, Hezhe Qiao*, Wei Huang, Qizhou Wang, Mingsheng Shang, Lin Chen |
| ECML PKDD'24 |
Self-supervised Temporal and Spatial Normality Learning for Time Series Anomaly Detection
[PDF]
[Code] Yutong Chen, Hongzuo Xu, Guansong Pang, Hezhe Qiao, Yuan Zhou, Mingsheng Shang |
| PerCom'24 Best Paper |
DITMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers
[PDF]
[Code] Xiao Ma, Shengfeng He, Hezhe Qiao, Dong Ma |
| JDSA'24 |
Deep Learning for Hate Speech Detection: A Comparative Study (2024)
[PDF]
[Code] Hezhe Qiao*, Jitendra Singh Malik*, Guansong Pang, Anton van den Hengel |
2023
| NeurIPS'23 |
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
[PDF]
[Code]
[Slides] Hezhe Qiao, Guansong Pang |
2022 and before
| CMPB'22 |
Ranking convolutional neural network for Alzheimer’s disease mini-mental state examination prediction at multiple time-points (2022)
[PDF]
[Code] Hezhe Qiao, Lin Chen, Fan Zhu |
| EMBC'21 |
A fusion of multi-view 2D and 3D convolution neural network based MRI for Alzheimer’s disease diagnosis
[PDF]
[Code] Hezhe Qiao, Lin Chen, Fan Zhu |
| CMPB'21 |
Early Alzheimer’s disease diagnosis with the contrastive loss using paired structural MRIs (2021)
[PDF]
[Code] Hezhe Qiao, Lin Chen, Zi Ye, Fan Zhu |