UEIN: A User Evolving Interests Network for Click-Through Rate Prediction. - Jianxiong Xu; Xiaoyu Shi 001; Hezhe Qiao; Mingsheng Shang 001; Xianbo He; Qingyu He (BigDataSE, 2021)

A Fusion of Multi-view 2D and 3D Convolution Neural Network based MRI for Alzheimer's Disease Diagnosis. - Hezhe Qiao; Lin Chen 023; Fan Zhu (EMBC, 2021)

Improving Pedestrian Attribute Recognition with Multi-Scale Spatial Calibration. - Jiabao Zhong; Hezhe Qiao; Lin Chen 023; Mingsheng Shang 001; Qun Liu 005 (IJCNN, 2021)

Early Alzheimer's disease diagnosis with the contrastive loss using paired structural MRIs. - Hezhe Qiao; Lin Chen 023; Zi Ye; Fan Zhu (Comput. Methods Programs Biomed., 2021)

Alzheimer's Disease Clinical Scores Prediction based on the Label Distribution Learning using Brain Structural MRI. - Hui Chen; Hezhe Qiao; Fan Zhu; Lin Chen 023 (IJCNN, 2022)

Aspect-aware Asymmetric Representation Learning Network for Review-based Recommendation. - Hao Liu; Hezhe Qiao; Xiaoyu Shi 001; Mingsheng Shang 001 (IJCNN, 2022)

Ranking convolutional neural network for Alzheimer's disease mini-mental state examination prediction at multiple time-points. - Hezhe Qiao; Lin Chen 023; Fan Zhu (Comput. Methods Programs Biomed., 2022)

Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection. - Hezhe Qiao; Guansong Pang (NeurIPS, 2023)

Temporal Gaussian Copula For Clinical Multivariate Time Series Data Imputation. - Ye Su; Hezhe Qiao; Di Wu; Yuwen Chen; Lin Chen (BIBM, 2024)

Temporal-Contextual Event Learning for Pedestrian Crossing Intent Prediction. - Hongbin Liang; Hezhe Qiao; Wei Huang; Qizhou Wang; Mingsheng Shang 001; Lin Chen 023 (ICONIP (5), 2024)

Generative Semi-supervised Graph Anomaly Detection. - Hezhe Qiao; Qingsong Wen; Xiaoli Li 001; Ee-Peng Lim; Guansong Pang (NeurIPS, 2024)

DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers. - Xiao Ma; Shengfeng He; Hezhe Qiao; Dong Ma 001 (PerCom, 2024)

Self-supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection. - Yutong Chen; Hongzuo Xu; Guansong Pang; Hezhe Qiao; Yuan Zhou; Mingsheng Shang 001 (ECML/PKDD (6), 2024)

Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts. - Chaoxi Niu; Hezhe Qiao; Changlu Chen; Ling Chen 006; Guansong Pang (CoRR, 2024)

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers. - Guoguo Ai; Guansong Pang; Hezhe Qiao; Yuan Gao; Hui Yan (CoRR, 2024)

AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection. - Hezhe Qiao; Chaoxi Niu; Ling Chen 006; Guansong Pang (CoRR, 2025)

Semantic-guided Representation Learning for Multi-Label Recognition. - Ruhui Zhang; Hezhe Qiao; Pengcheng Xu; Mingsheng Shang 001; Lin Chen 023 (CoRR, 2025)

New Recipe for Semi-supervised Community Detection: Clique Annealing under Crystallization Kinetics. - Ling Cheng 002; Jiashu Pu; Ruicheng Liang; Qian Shao; Hezhe Qiao; Feida Zhu 001 (CoRR, 2025)

Semi-supervised Graph Anomaly Detection via Robust Homophily Learning. - Guoguo Ai; Hezhe Qiao; Hui Yan; Guansong Pang (CoRR, 2025)

Toward Generalist Semi-supervised Regression via Decoupled Representation Distillation. - Ye Su; Hezhe Qiao; Wei Huang; Lin Chen (CoRR, 2025)

Deep Graph Anomaly Detection: A Survey and New Perspectives. - Hezhe Qiao; Hanghang Tong; Bo An 001; Irwin King; Charu Aggarwal 001; Guansong Pang (IEEE Trans. Knowl. Data Eng., 2025)

Toward Diverse Tiny-Model Selection for Microcontrollers. - Xiao Ma; Shengfeng He; Hezhe Qiao; Dong Ma 001 (IEEE Trans. Mob. Comput., 2025)