Xingbo Fu - RankMe

32 papers A* 4A 1Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Safety in Graph Machine Learning: Threats and Safeguards. IEEE Trans. Knowl. Data Eng. Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
2025	J	`jnl`	A Survey of Scaling in Large Language Model Reasoning. CoRR Zihan Chen, Song Wang, Zhen Tan, Xingbo Fu, Zhen Lei, Peng Wang, Huan Liu, Cong Shen, Jundong Li
2025	J	`jnl`	Adaptive Dual Prompting: Hierarchical Debiasing for Fairness-aware Graph Neural Networks. CoRR Yuhan Yang, Xingbo Fu, Jundong Li
2025	A*	`conf`	Edge Prompt Tuning for Graph Neural Networks. ICLR Xingbo Fu, Yinhan He, Jundong Li
2025	J	`jnl`	Edge Prompt Tuning for Graph Neural Networks. CoRR Xingbo Fu, Yinhan He, Jundong Li
2025	J	`jnl`	FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs. CoRR Zihan Chen, Xingbo Fu, Yushun Dong, Jundong Li, Cong Shen
2025	J	`jnl`	FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs. Trans. Mach. Learn. Res. Zihan Chen, Xingbo Fu, Yushun Dong, Jundong Li, Cong Shen
2025	—	`conf`	From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning. EMNLP (Findings) Zihan Chen, Song Wang, Xingbo Fu, Chengshuai Shi, Zhenyu Lei, Cong Shen, Jun-Dong Li
2025	J	`jnl`	From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning. CoRR Zihan Chen, Song Wang, Xingbo Fu, Chengshuai Shi, Zhen Lei, Cong Shen, Jundong Li
2025	J	`jnl`	Graph Foundation Models: A Comprehensive Survey. CoRR 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
2025	—	`conf`	Graph Prompting for Graph Learning Models: Recent Advances and Future Directions. KDD (2) Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhenyu Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li
2025	J	`jnl`	Graph Prompting for Graph Learning Models: Recent Advances and Future Directions. CoRR Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhen Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li
2025	J	`jnl`	GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks. CoRR Xingbo Fu, Zhen Lei, Zihan Chen, Binchi Zhang, Chuxu Zhang, Jundong Li
2025	A	`conf`	Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning. ECAI Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong
2025	J	`jnl`	Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning. CoRR Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong
2025	A*	`conf`	Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning. AAAI Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li
2024	J	`jnl`	Federated Graph Learning with Graphless Clients. CoRR Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li
2024	J	`jnl`	Federated Graph Learning with Graphless Clients. Trans. Mach. Learn. Res. Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li
2024	A*	`conf`	Federated Graph Learning with Structure Proxy Alignment. KDD Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li
2024	J	`jnl`	Federated Graph Learning with Structure Proxy Alignment. CoRR Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li
2024	J	`jnl`	Safety in Graph Machine Learning: Threats and Safeguards. CoRR Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
2024	J	`jnl`	Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning. CoRR Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li
2023	A*	`conf`	Federated Few-shot Learning. KDD Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
2023	J	`jnl`	Federated Few-shot Learning. CoRR Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
2023	—	`conf`	Spatial-Temporal Networks for Antibiogram Pattern Prediction. ICHI Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Y. Klein, Gregory Madden, Jundong Li
2023	J	`jnl`	Spatial-Temporal Networks for Antibiogram Pattern Prediction. CoRR Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Y. Klein, Gregory Madden, Jundong Li
2022	J	`jnl`	Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications. CoRR Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li
2022	J	`jnl`	Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications. SIGKDD Explor. Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li
2020	J	`jnl`	When Do Drivers Concentrate? Attention-based Driver Behavior Modeling With Deep Reinforcement Learning. CoRR Xingbo Fu, Xuan Di, Zhaobin Mo
2019	J	`jnl`	A Simulation Approach to Multi-station Solar Irradiance Data Considering Temporal Correlations. CoRR Xingbo Fu, Feng Gao, Jiang Wu, Ruanming Huang, Yichao Huang, Fei Fei
2019	—	`conf`	Spatiotemporal Attention Networks for Wind Power Forecasting. ICDM Workshops Xingbo Fu, Feng Gao, Jiang Wu, Xinyu Wei, Fangwei Duan
2019	J	`jnl`	Spatiotemporal Attention Networks for Wind Power Forecasting. CoRR Xingbo Fu, Feng Gao, Jiang Wu, Xinyu Wei, Fangwei Duan