Publications (Google Scholar)

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
	Temporal Gaussian Copula For Clinical Multivariate Time Series Data Interpolation (2024)  [PDF] [Code] Ye Su, Hezhe Qiao, Di Wu, Yuwen Chen, Lin Chen
	Generative Semi-supervised Graph Anomaly Detection (2024)  [PDF] [Code] Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang

Conference

ICONIP'24	Temporal-contextual Event Learning for Pedestrian Crossing Intent Prediction (2024)  [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	DITMoS:Delving into Diverse Tiny-Model Selection on Microcontrollers [PDF] [Code] Xiao Ma , Shengfeng He, Hezhe Qiao, Dong Ma
NeurIPS'23	Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection [PDF] [Code] Hezhe Qiao, Guansong Pang

IJCNN'22	Alzheimer's Disease Clinical Scores Prediction based on the Label Distribution Learning using Brain Structural MRI [PDF] Hui Chen, Hezhe Qiao, Lin Chen, Fan Zhu
IJCNN'22	Aspect-aware Asymmetric Representation Learning Network for Review-based Recommendation   [PDF] Hao Liu, Hezhe Qiao, Xuxiao Shi, Mingsheng Shang

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
IJCNN'21	Improving pedestrian attribute recognition with multi-scale spatial calibration   [PDF] Jiabao Zhong, Hezhe Qiao, Lin Chen, Mingsheng Shang, Qun Liu

Journal

Survey	Deep Learning for Hate Speech Detection: A Comparative Study (2023)  [PDF] [Code] Hezhe Qiao*, Jitendra Singh Malik*, Guansong Pang, Anton van den Hengel
JAMIA	Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine (2023)  [PDF] [Code] Timothy Bergquist, Thomas Schaffter, Yao Yan, Thomas Yu et. al
CMPB	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
Frontiers in Aging Neuroscience	Alzheimer's Disease Diagnosis With Brain Structural MRI Using Multiview-Slice Attention and 3D Convolution Neural Network (2022)  [PDF] Lin Chen, Hezhe Qiao, Fan Zhu
CMPB	Early Alzheimer’s disease diagnosis with the contrastive loss using paired structural MRIs (2021)  [PDF] [Code] Hezhe Qiao, Lin Chen, Zi Ye, Fan Zhu

Workshops, Posters, and Abstracts

Thesis and Patent

Thesis	Early Diagnosis of Alzheimer's Disease Based on Deep Learning (2022)  [PDF] Hezhe Qiao
Patent	Early Warning System for Debris Flow (2021) [PDF] Shaojie Zhang, Kaiheng Hu, Hezhe Qiao