@inproceedings{FedTGE_ICLR25,
  title={Energy-based Backdoor Defense Against Federated Graph Learning},
  author={Wan, Guancheng and Shi, Zitong and Huang, Wenke and Zhang, Guibin and Tao, Dacheng and Ye, Mang},
  booktitle={International Conference on Learning Representations},
  year={2025}
}

%%%%%%%

@inproceedings{S3GCL_ICML24,
  title={S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning},
  author={Wan, Guancheng and Tian, Yijun and Huang, Wenke and Chawla, Nitesh V and Ye, Mang},
  booktitle={Forty-first International Conference on Machine Learning},
  year={2024}
}

%%%%%%%

@inproceedings{FGGP_AAAI24,
title={Federated Graph Learning under Domain Shift with Generalizable Prototypes},
author={Wan, Guancheng and Huang, Wenke and Ye, Mang},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={38},
number={14},
pages={15429--15437},
year={2024}
}

%%%%%%% 
@article{EARTH_Arxiv24,
  title={Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph},
  author={Wan, Guancheng and Liu, Zewen and Lau, Max S.Y. and Prakash, B. Aditya and Jin, Wei},
  journal={arXiv preprint arXiv:2410.00049},
  year={2024}
}

%%%%%%%

@inproceedings{FedSSP_NeurIPS,
  title={FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference},
  author={Tan, Zihan and Wan, Guancheng and Huang, Wenke and Ye, Mang},
  booktitle={Thirty-eighth Annual Conference on Neural Information Processing Systems},
  year={2024}
}

%%%%%%%

@inproceedings{FGSSL_IJCAI23,
  title={Federated graph semantic and structural learning},
  author={Huang, Wenke and Wan, Guancheng and Ye, Mang and Du, Bo},
  booktitle={Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence},
  pages={3830--3838},
  year={2023}
}

%%%%%%%

@inproceedings{Epi_Survey_KDD24,
  title={A review of graph neural networks in epidemic modeling},
  author={Liu, Zewen and Wan, Guancheng and Prakash, B Aditya and Lau, Max SY and Jin, Wei},
  booktitle={Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  pages={6577--6587},
  year={2024}
}

%%%%%%%%%%%%%%%%%%%%%

@article{FL_benchmark_TPAMI24,
  title={Federated learning for generalization, robustness, fairness: A survey and benchmark},
  author={Huang, Wenke and Ye, Mang and Shi, Zekun and Wan, Guancheng and Li, He and Du, Bo and Yang, Qiang},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2024},
  publisher={IEEE}
}

%%%%%%%

@inproceedings{FDCR_NeurIPS,
  title={Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning},
  author={Huang, Wenke and Ye, Mang and Shi, Zekun and Wan, Guancheng and Li, He and Du, Bo},
  booktitle={Thirty-eighth Annual Conference on Neural Information Processing Systems},
  year={2024}
}