Hezhe Qiao

According to our database, Hezhe Qiao authored at least 34 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

VerifyMAS: Hypothesis Verification for Failure Attribution in LLM Multi-Agent Systems.

Hezhe Qiao, Hanghang Tong, Ee-Peng Lim, Bing Liu, Guansong Pang

CoRR, May, 2026

When Normality Shifts: Risk-Aware Test-Time Adaptation for Unsupervised Tabular Anomaly Detection.

Wei Huang, Hezhe Qiao, Kailai Zhang, Zaisheng Ye, Yu-Ming Shang, Xiangling Fu

CoRR, May, 2026

Clique Annealing: Semi-Supervised Community Detection Under Crystallization Kinetics.

Ling Cheng, Jiashu Pu, Ruicheng Liang, Qian Shao, Hezhe Qiao, Feida Zhu

IEEE Trans. Knowl. Data Eng., April, 2026

Enhancing Tabular Anomaly Detection via Pseudo-Label-Guided Generation.

Wei Huang, Yuxuan Xiong, Hezhe Qiao, Yu-Ming Shang, Xiangling Fu, Guansong Pang

CoRR, April, 2026

TimeRadar: A Domain-Rotatable Foundation Model for Time Series Anomaly Detection.

Hui He, Hezhe Qiao, Yutong Chen, Kun Yi, Guansong Pang

CoRR, February, 2026

SSD: Self-Supervised Distillation for Heterophilic Graph Representation Learning.

Yuan Gao, Yuchen Li, Bingsheng He, Hezhe Qiao, Guoguo Ai, Hui Yan

IEEE Trans. Knowl. Data Eng., January, 2026

Identifying Good and Bad Neurons for Task-Level Controllable LLMs.

Wenjie Li, Guansong Pang, Hezhe Qiao, Debin Gao, David Lo

CoRR, January, 2026

Robust Graph Learning on the Web: Challenges, Methods, and Applications.

Xiang Ao, Yang Liu, Guansong Pang, Yuanhao Ding, Hezhe Qiao, Dawei Cheng, Qing He

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

2025

Deep learning for hate speech detection: a comparative study.

Jitendra Singh Malik, Hezhe Qiao, Guansong Pang, Anton van den Hengel

Int. J. Data Sci. Anal., October, 2025

Normality Calibration in Semi-supervised Graph Anomaly Detection.

Guolei Zeng, Hezhe Qiao, Guoguo Ai, Jinsong Guo, Guansong Pang

CoRR, October, 2025

Toward Diverse Tiny-Model Selection for Microcontrollers.

Xiao Ma, Shengfeng He, Hezhe Qiao, Dong Ma

IEEE Trans. Mob. Comput., September, 2025

Deep Graph Anomaly Detection: A Survey and New Perspectives.

Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu Aggarwal, Guansong Pang

IEEE Trans. Knowl. Data Eng., September, 2025

Toward Generalist Semi-supervised Regression via Decoupled Representation Distillation.

Ye Su, Hezhe Qiao, Wei Huang, Lin Chen

CoRR, August, 2025

New Recipe for Semi-supervised Community Detection: Clique Annealing under Crystallization Kinetics.

Ling Cheng, Jiashu Pu, Ruicheng Liang, Qian Shao, Hezhe Qiao, Feida Zhu

CoRR, April, 2025

Securing Foundation Models: Failure Cases, Challenges, and the Future.

Mengjia Niu, Jiawen Zhu, Hezhe Qiao, Hamed Haddadi, Guansong Pang

IEEE Intell. Syst., 2025

Semi-supervised Graph Anomaly Detection via Robust Homophily Learning.

Guoguo Ai, Hezhe Qiao, Hui Yan, Guansong Pang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection.

Hezhe Qiao, Chaoxi Niu, Ling Chen, Guansong Pang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts.

Chaoxi Niu, Hezhe Qiao, Changlu Chen, Ling Chen, Guansong Pang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers.

GuoguoAi, Guansong Pang, Hezhe Qiao, Yuan Gao, Hui Yan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Semantic-guided Representation Learning for Multi-Label Recognition.

Ruhui Zhang, Hezhe Qiao, Pengcheng Xu, Mingsheng Shang, Lin Chen

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

2024

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers.

Guoguo Ai, Guansong Pang, Hezhe Qiao, Yuan Gao, Hui Yan

CoRR, 2024

Self-supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection.

Yutong Chen, Hongzuo Xu, Guansong Pang, Hezhe Qiao, Yuan Zhou, Mingsheng Shang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers.

Xiao Ma, Shengfeng He, Hezhe Qiao, Dong Ma

Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2024

Generative Semi-supervised Graph Anomaly Detection.

Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Temporal-Contextual Event Learning for Pedestrian Crossing Intent Prediction.

Hongbin Liang, Hezhe Qiao, Wei Huang, Qizhou Wang, Mingsheng Shang, Lin Chen

Proceedings of the Neural Information Processing - 31st International Conference, 2024

Temporal Gaussian Copula For Clinical Multivariate Time Series Data Imputation.

Ye Su, Hezhe Qiao, Di Wu, Yuwen Chen, Lin Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection.

Hezhe Qiao, Guansong Pang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Ranking convolutional neural network for Alzheimer's disease mini-mental state examination prediction at multiple time-points.

Hezhe Qiao, Lin Chen, Fan Zhu

Comput. Methods Programs Biomed., 2022

Aspect-aware Asymmetric Representation Learning Network for Review-based Recommendation.

Hao Liu, Hezhe Qiao, Xiaoyu Shi, Mingsheng Shang

Proceedings of the International Joint Conference on Neural Networks, 2022

Alzheimer's Disease Clinical Scores Prediction based on the Label Distribution Learning using Brain Structural MRI.

Hui Chen, Hezhe Qiao, Fan Zhu, Lin Chen

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Early Alzheimer's disease diagnosis with the contrastive loss using paired structural MRIs.

Hezhe Qiao, Lin Chen, Zi Ye, Fan Zhu

Comput. Methods Programs Biomed., 2021

Improving Pedestrian Attribute Recognition with Multi-Scale Spatial Calibration.

Jiabao Zhong, Hezhe Qiao, Lin Chen, Mingsheng Shang, Qun Liu

Proceedings of the International Joint Conference on Neural Networks, 2021

A Fusion of Multi-view 2D and 3D Convolution Neural Network based MRI for Alzheimer's Disease Diagnosis.

Hezhe Qiao, Lin Chen, Fan Zhu

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

UEIN: A User Evolving Interests Network for Click-Through Rate Prediction.

Jianxiong Xu, Xiaoyu Shi, Hezhe Qiao, Mingsheng Shang, Xianbo He, Qingyu He

Proceedings of the 15th IEEE International Conference on Big Data Science and Engineering, 2021