Yuan Gao

According to our database, Yuan Gao authored at least 12 papers between 2023 and 2025.

Collaborative distances:

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

2025

Attribute encoding transformer on unattributed dynamic graphs for anomaly detection.

Shang Wang, Haihong Hao, Yuan Gao, Xiang Wang, Xiangnan He

Int. J. Mach. Learn. Cybern., December, 2025

2024

Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection.

Yuan Gao, Jinghan Li, Xiang Wang, Xiangnan He, Huamin Feng, Yongdong Zhang

IEEE Trans. Knowl. Data Eng., September, 2024

DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation.

Yuan Gao, Haokun Chen, Xiang Wang, Zhicai Wang, Xue Wang, Jinyang Gao, Bolin Ding

CoRR, 2024

Invariant Graph Learning for Causal Effect Estimation.

Yongduo Sui, Caizhi Tang, Zhixuan Chu, Junfeng Fang, Yuan Gao, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang

Proceedings of the ACM on Web Conference 2024, 2024

Graph Anomaly Detection with Bi-level Optimization.

Yuan Gao, Junfeng Fang, Yongduo Sui, Yangyang Li, Xiang Wang, Huamin Feng, Yongdong Zhang

Proceedings of the ACM on Web Conference 2024, 2024

EXGC: Bridging Efficiency and Explainability in Graph Condensation.

Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He

Proceedings of the ACM on Web Conference 2024, 2024

Towards Neuron Attributions in Multi-Modal Large Language Models.

Junfeng Fang, Zac Bi, Ruipeng Wang, Houcheng Jiang, Yuan Gao, Kun Wang, An Zhang, Jie Shi, Xiang Wang, Tat-Seng Chua

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

2023

Rumor detection with self-supervised learning on texts and social graph.

Yuan Gao, Xiang Wang, Xiangnan He, Huamin Feng, Yong-Dong Zhang

Frontiers Comput. Sci., August, 2023

Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum.

Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang

Proceedings of the ACM Web Conference 2023, 2023

Alleviating Structural Distribution Shift in Graph Anomaly Detection.

Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis.

Junfeng Fang, Wei Liu, Yuan Gao, Zemin Liu, An Zhang, Xiang Wang, Xiangnan He

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

LightMIRM: Light Meta-learned Invariant Risk Minimization for Trustworthy Loan Default Prediction.

Meng Jiang, Yang Zhang, Yuan Gao, Yansong Wang, Fuli Feng, Xiangnan He

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023