Xiaoxiao Li

selected publications [view all]

1. NeurIPS

   Local Superior Soups: A Catalyst for Reducing Communication Rounds in Federated Learning with Pre-trained Model

   Minghui Chen, Meirui Jiang, Xin Zhang, Qi Dou, Zehua Wang, and Xiaoxiao Li

   Advances in Neural Information Processing Systems, 2024

   Bib PDF

   @article{chenlocal,
     title = {Local Superior Soups: A Catalyst for Reducing Communication Rounds in Federated Learning with Pre-trained Model},
     author = {Chen, Minghui and Jiang, Meirui and Zhang, Xin and Dou, Qi and Wang, Zehua and Li, Xiaoxiao},
     journal = {Advances in Neural Information Processing Systems},
     year = {2024}
   }

2. NeurIPS

   FairMedFM: fairness benchmarking for medical imaging foundation models

   Ruinan Jin, Zikang Xu, Yuan Zhong, Qiongsong Yao, Qi Dou, S Kevin Zhou, and Xiaoxiao Li

   Advances in Neural Information Processing Systems, 2024

   Bib PDF Code

   @article{jin2024fairmedfm,
     title = {FairMedFM: fairness benchmarking for medical imaging foundation models},
     author = {Jin, Ruinan and Xu, Zikang and Zhong, Yuan and Yao, Qiongsong and Dou, Qi and Zhou, S Kevin and Li, Xiaoxiao},
     journal = {Advances in Neural Information Processing Systems},
     year = {2024}
   }

3. CVPR

   Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning

   Wenlong Deng, Christos Thrampoulidis, and Xiaoxiao Li

   Conference on Computer Vision and Pattern Recognition, 2024

   Bib PDF Code

   @article{deng2024unlocking,
     title = {Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning},
     author = {Deng, Wenlong and Thrampoulidis, Christos and Li, Xiaoxiao},
     journal = {Conference on Computer Vision and Pattern Recognition},
     year = {2024},
   }

4. Nature Methods

   BUDDY: molecular formula discovery via bottom-up MS/MS interrogation

   Shipei Xing, Sam Shen, Banghua Xu, Xiaoxiao Li, and Tao Huan

   Nature Methods, 2023

   Bib HTML Code

   @article{xing2023buddy,
     title = {BUDDY: molecular formula discovery via bottom-up MS/MS interrogation},
     author = {Xing, Shipei and Shen, Sam and Xu, Banghua and Li, Xiaoxiao and Huan, Tao},
     journal = {Nature Methods},
     pages = {1--10},
     year = {2023},
     publisher = {Nature Publishing Group US New York},
   }

5. TMI

   GATE: graph CCA for temporal SElf-supervised learning for label-efficient fMRI analysis

   Liang Peng, Nan Wang, Jie Xu, Xiaofeng Zhu, and Xiaoxiao Li

   IEEE Transactions on Medical Imaging, 2022

   Bib HTML PDF Code

   @article{peng2022gate,
     title = {GATE: graph CCA for temporal SElf-supervised learning for label-efficient fMRI analysis},
     author = {Peng, Liang and Wang, Nan and Xu, Jie and Zhu, Xiaofeng and Li, Xiaoxiao},
     journal = {IEEE Transactions on Medical Imaging},
     volume = {42},
     number = {2},
     pages = {391--402},
     year = {2022},
     publisher = {IEEE},
   }

6. ICLR

   FedBN: Federated learning on non-iid features via local batch normalization

   Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, and Qi Dou

   International Conference on Learning Representations, 2021

   Bib HTML PDF Code

   @article{li2021fedbn,
     title = {FedBN: Federated learning on non-iid features via local batch normalization},
     author = {Li, Xiaoxiao and Jiang, Meirui and Zhang, Xiaofei and Kamp, Michael and Dou, Qi},
     year = {2021},
     journal = {International Conference on Learning Representations},
   }

7. ICML

   Fl-NTK: A neural tangent kernel-based framework for federated learning analysis

   Baihe Huang, Xiaoxiao Li, Zhao Song, and Xin Yang

   In International Conference on Machine Learning, 2021

   Bib PDF

   @inproceedings{huang2021fl,
     title = {Fl-NTK: A neural tangent kernel-based framework for federated learning analysis},
     author = {Huang, Baihe and Li, Xiaoxiao and Song, Zhao and Yang, Xin},
     booktitle = {International Conference on Machine Learning},
     pages = {4423--4434},
     year = {2021},
     organization = {PMLR},
   }

8. MedIA

   BrainGNN: Interpretable brain graph neural network for fmri analysis

   Xiaoxiao Li, Yuan Zhou, Nicha Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang, Dustin Scheinost, Lawrence H Staib, Pamela Ventola, and James S Duncan

   Medical Image Analysis, 2021

   Bib HTML Code

   @article{li2021braingnn,
     title = {BrainGNN: Interpretable brain graph neural network for fmri analysis},
     author = {Li, Xiaoxiao and Zhou, Yuan and Dvornek, Nicha and Zhang, Muhan and Gao, Siyuan and Zhuang, Juntang and Scheinost, Dustin and Staib, Lawrence H and Ventola, Pamela and Duncan, James S},
     journal = {Medical Image Analysis},
     volume = {74},
     pages = {102233},
     year = {2021},
     publisher = {Elsevier},
   }