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
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025 Tutorial/Survey Track)
    arXiv
  • Edge Prompt Tuning for Graph Neural Networks
    Xingbo Fu, Yinhan He, Jundong Li
    International Conference on Learning Representations (ICLR 2025)
    Paper
    arXiv
    Github
  • 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
    AAAI Conference on Artificial Intelligence (AAAI 2025)
    Paper
    arXiv
    Github
  • 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 Chawla, Chuxu Zhang, Yanfang Ye
    Preprint
    arXiv
    Github
  • A Survey of Scaling in Large Language Model Reasoning
    Zihan Chen, Song Wang, Zhen Tan, Xingbo Fu, Zhenyu Lei, Peng Wang, Huan Liu, Cong Shen, Jundong Li
    Preprint
    arXiv

2024

  • Federated Graph Learning with Structure Proxy Alignment
    Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024)
    Paper
    arXiv
    Github
  • Federated Graph Learning with Graphless Clients
    Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li
    Transactions on Machine Learning Research (TMLR)
    Paper
    arXiv
  • 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
    Preprint
    arXiv

2023

  • Federated Few-Shot Learning
    Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)
    Paper
    arXiv
    Github
  • Spatial-Temporal Networks for Antibiogram Pattern Prediction
    Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Klein, Gregory Madden, Jundong Li
    IEEE International Conference on Healthcare Informatics (IEEE ICHI 2023)
    Paper
    arXiv

2022

  • Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications
    Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li
    ACM SIGKDD Explorations Newsletter 2022
    A short version has been accepted to International Workshop on Federated Learning with Graph Data in Conjunction with CIKM 2022
    Paper
    arXiv
    Short version

2020

  • Online Clustering based Fault Data Detection Method for Distributed PV Sites
    Shujie Wang, Feng Gao, Jiang Wu , Chao Zheng, Xingbo Fu, Fangwei Duan
    Chinese Control Conference (CCC 2020)
    Paper
  • When Do Drivers Concentrate? Attention-based Driver Behavior Modeling with Deep Reinforcement Learning
    Xingbo Fu, Feng Gao, Jiang Wu
    arXiv

2019

  • Spatiotemporal Attention Networks for Wind Power Forecasting
    Xingbo Fu, Feng Gao, Jiang Wu, Xinyu Wei, Fangwei Duan
    International Conference on Data Mining Workshops (ICDM 2019 Workshops)
    Paper
    arXiv
    Github
  • A Simulation Approach to Multi-station Solar Irradiance Data Considering Temporal Correlations
    Xingbo Fu, Feng Gao, Jiang Wu, Ruanming Huang, Yichao Huang, Fei Fei
    International Conference on Innovative Smart Grid Technologies (ISGT Asia 2019)
    Paper
    arXiv
  • Wind Power Capacity Planning in Enterprise’s Microgrid based on Approximation Expectation of Operation Cost
    Yuzhou Zhou, Qiaozhu Zhai, Xingbo Fu, Xiaohong Guan, Feng Gao, Jiang Wu, Zhanbo Xu
    IEEE Power & Energy Society General Meeting (PESGM 2019)
    Paper

2018

  • A Simulation Method of Solar Irradiance Data Based on Feature Clustering and MTPM
    Xingbo Fu, Feng Gao, Jiang Wu, Xiaohong Guan, Xuan Li, Pengyuan Liu, Pai Li
    World Congress on Intelligent Control and Automation (WCICA 2018)
    Paper
  • Hybrid Features based K-means Clustering Algorithm for use in Electricity Customer Load Pattern Analysis
    Pengyuan Liu, Chenye Yang, Jiang Wu, Xingbo Fu, Ruanming Huang, Yichao Huang, Fei Fei
    Chinese Control Conference (CCC 2018)
    Paper