Jie Yang

According to our database, Jie Yang authored at least 6 papers between 2024 and 2026.

Collaborative distances:

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

2026

Homophily Edge Augment Graph Neural Network for High-Class Homophily Variance Learning.

Mingjian Guang, Rui Zhang, Dawei Cheng, Xiaoyang Wang, Xin Liu, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

Defending Attacks on Anti-Fraud Model With Generative Graph Representations.

Jiasheng Wu, Xincheng Wang, Jie Yang, Dawei Cheng, Guang Yang, Bo Wang

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

2025

Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection.

Jie Yang, Rui Zhang, Ziyang Cheng, Dawei Cheng, Guang Yang, Bo Wang

Proceedings of the ACM on Web Conference 2025, 2025

Neighbor-enhanced Graph Pre-training and Prompt Learning Framework for Fraud Detection.

Ziyang Cheng, Jie Yang, Yixin Song, Dawei Cheng, Guang Yang, Bo Wang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection.

Rui Zhang, Dawei Cheng, Xin Liu, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng

CoRR, 2024

Pre-trained Online Contrastive Learning for Insurance Fraud Detection.

Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024