| 2026 | WWW | Robust Graph Learning on the Web: Challenges, Methods, and Applications. | Xiang Ao, Yang Liu, Guansong Pang, Yuanhao Ding, Hezhe Qiao, Dawei Cheng, Qing He |
| 2025 | ICML | GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers. | GuoguoAi, Guansong Pang, Hezhe Qiao, Yuan Gao, Hui Yan |
| 2025 | IJCAI | Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts. | Chaoxi Niu, Hezhe Qiao, Changlu Chen, Ling Chen, Guansong Pang |
| 2025 | KDD | AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection. | Hezhe Qiao, Chaoxi Niu, Ling Chen, Guansong Pang |
| 2024 | ICONIP | Temporal-Contextual Event Learning for Pedestrian Crossing Intent Prediction. | Hongbin Liang, Hezhe Qiao, Wei Huang, Qizhou Wang, Mingsheng Shang, Lin Chen |
| 2024 | PERCOM | DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers. | Xiao Ma, Shengfeng He, Hezhe Qiao, Dong Ma |
| 2022 | IJCNN | Alzheimer's Disease Clinical Scores Prediction based on the Label Distribution Learning using Brain Structural MRI. | Hui Chen, Hezhe Qiao, Fan Zhu, Lin Chen |
| 2022 | IJCNN | Aspect-aware Asymmetric Representation Learning Network for Review-based Recommendation. | Hao Liu, Hezhe Qiao, Xiaoyu Shi, Mingsheng Shang |
| 2021 | IJCNN | Improving Pedestrian Attribute Recognition with Multi-Scale Spatial Calibration. | Jiabao Zhong, Hezhe Qiao, Lin Chen, Mingsheng Shang, Qun Liu |