Xingbo Fu

According to our database, Xingbo Fu authored at least 21 papers between 2019 and 2026.

Collaborative distances:

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

2026

Safety in Graph Machine Learning: Threats and Safeguards.

Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li

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

2025

From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning.

Zihan Chen, Song Wang, Xingbo Fu, Chengshuai Shi, Zhen Lei, Cong Shen, Jundong Li

CoRR, October, 2025

Adaptive Dual Prompting: Hierarchical Debiasing for Fairness-aware Graph Neural Networks.

Yuhan Yang, Xingbo Fu, Jundong Li

CoRR, October, 2025

GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks.

Xingbo Fu, Zhen Lei, Zihan Chen, Binchi Zhang, Chuxu Zhang, Jundong Li

CoRR, October, 2025

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions.

Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhen Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li

CoRR, June, 2025

Graph Foundation Models: A Comprehensive Survey.

Zehong Wang, Zheyuan Liu, Tianyi Ma, Jiazheng Li, Zheyuan Zhang, Xingbo Fu, Yiyang Li, Zhengqing Yuan, Wei Song, Yijun Ma, Qingkai Zeng, Xiusi Chen, Jianan Zhao, Jundong Li, Meng Jiang, Pietro Lio, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye

CoRR, May, 2025

A Survey of Scaling in Large Language Model Reasoning.

Zihan Chen, Song Wang, Zhen Tan, Xingbo Fu, Zhen Lei, Peng Wang, Huan Liu, Cong Shen, Jundong Li

CoRR, April, 2025

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs.

Zihan Chen, Xingbo Fu, Yushun Dong, Jundong Li, Cong Shen

Trans. Mach. Learn. Res., 2025

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions.

Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhenyu Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li

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

Edge Prompt Tuning for Graph Neural Networks.

Xingbo Fu, Yinhan He, Jundong Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning.

Zihan Chen, Song Wang, Xingbo Fu, Chengshuai Shi, Zhenyu Lei, Cong Shen, Jun-Dong Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning.

Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning.

Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Federated Graph Learning with Graphless Clients.

Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li

Trans. Mach. Learn. Res., 2024

Federated Graph Learning with Structure Proxy Alignment.

Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Federated Few-shot Learning.

Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Spatial-Temporal Networks for Antibiogram Pattern Prediction.

Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Y. Klein, Gregory Madden, Jundong Li

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2022

Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications.

Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li

SIGKDD Explor., 2022

2020

When Do Drivers Concentrate? Attention-based Driver Behavior Modeling With Deep Reinforcement Learning.

Xingbo Fu, Xuan Di, Zhaobin Mo

CoRR, 2020

2019

A Simulation Approach to Multi-station Solar Irradiance Data Considering Temporal Correlations.

Xingbo Fu, Feng Gao, Jiang Wu, Ruanming Huang, Yichao Huang, Fei Fei

CoRR, 2019

Spatiotemporal Attention Networks for Wind Power Forecasting.

Xingbo Fu, Feng Gao, Jiang Wu, Xinyu Wei, Fangwei Duan

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019