publications

2024

  1. ECCV
    Federated Learning with Openset Noisy Labels
    Zonglin Di, Zhaowei Zhu, Xiaoxiao Li, and Yang Liu
    European Conference on Computer Vision, 2024
  2. MedIA
    CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning
    Sana Ayromlou, Teresa Tsang, Purang Abolmaesumi, and Xiaoxiao Li
    Medical Image Analysis, 2024
  3. MedIA
    MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning
    Liang Peng, Songyue Cai, Zongqian Wu, Huifang Shang, Xiaofeng Zhu, and Xiaoxiao Li
    Medical Image Analysis, 2024
  4. ICML
    Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors
    Chun-Yin Huang, Karthik Srinivas, Xin Zhang, and Xiaoxiao Li
    Proceedings of the 41st International Conference on Machine Learning, 2024
  5. ICML
    FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler
    Hongyi Peng, Han Yu, Xiaoli Tang, and Xiaoxiao Li
    Proceedings of the 41st International Conference on Machine Learning, 2024
  6. ICML
    Learning High-Order Relationships of Brain Regions
    Weikang Qiu, Huangrui Chu, Selena Wang, Haolan Zuo, Xiaoxiao Li, Yize Zhao, and Rex Ying
    Proceedings of the 41st International Conference on Machine Learning, 2024
  7. 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
  8. MedIA
    LESS: Label-efficient multi-scale learning for cytological whole slide image screening
    Beidi Zhao, Wenlong Deng, Zi Han Henry Li, Chen Zhou, Zuhua Gao, Gang Wang, and Xiaoxiao Li
    Medical Image Analysis, 2024
  9. SaTML
    Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP
    Ruinan Jin, Chun-Yin Huang, Chenyu You, and Xiaoxiao Li
    2nd IEEE Conference on Secure and Trustworthy Machine Learning, 2024
  10. ICLR
    Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate
    Meirui Jiang, Anjie Le, Xiaoxiao Li, and Qi Dou
    In The Twelfth International Conference on Learning Representations, 2024

2023

  1. ICML
    Federated adversarial learning: A framework with convergence analysis
    Xiaoxiao Li, Zhao Song, and Jiaming Yang
    In International Conference on Machine Learning, 2023
  2. 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
  3. JBHI
    Dynamic Corrected Split Federated Learning with Homomorphic Encryption for U-shaped Medical Image Networks
    Ziyuan Yang, Yingyu Chen, Huijie Huangfu, Maosong Ran, Hui Wang, Xiaoxiao Li, and Yi Zhang
    IEEE Journal of Biomedical and Health Informatics, 2023
  4. MedIA
    Backdoor attack and defense in federated generative adversarial network-based medical image synthesis
    Ruinan Jin, and Xiaoxiao Li
    Medical Image Analysis, 2023
  5. MICCAI
    FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation
    Minghui Chen, Meirui Jiang, Qi Dou, Zehua Wang, and Xiaoxiao Li
    International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023
  6. MICCAI
    Community-Aware Transformer for Autism Prediction in fMRI Connectome
    Anushree Bannadabhavi, Soojin Lee, Wenlong Deng, and Xiaoxiao Li
    arXiv preprint arXiv:2307.10181, 2023
  7. IPMI
    SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation
    Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, and Xiaoxiao Li
    In International Conference on Information Processing in Medical Imaging, 2023
  8. IPMI
    On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations
    Wenlong Deng, Yuan Zhong, Qi Dou, and Xiaoxiao Li
    In International Conference on Information Processing in Medical Imaging, 2023
  9. ICLR
    PerFedMask: Personalized Federated Learning with Optimized Masking Vectors
    Mehdi Setayesh, Xiaoxiao Li, and Vincent WS Wong
    In The Eleventh International Conference on Learning Representations, 2023
  10. Deep learning with connectomes
    Nicha C Dvornek, and Xiaoxiao Li
    In Connectome Analysis, 2023
  11. MedIA
    Guidelines and evaluation of clinical explainable AI in medical image analysis
    Weina Jin, Xiaoxiao Li, Mostafa Fatehi, and Ghassan Hamarneh
    Medical Image Analysis, 2023

2022

  1. 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
  2. TMI
    A Dataset Auditing Method for Collaboratively Trained Machine Learning Models
    Yangsibo Huang, Chun-Yin Huang, Xiaoxiao Li, and Kai Li
    IEEE Transactions on Medical Imaging, 2022
  3. IEEE BigData
    A convergence theory for federated average: Beyond smoothness
    Xiaoxiao Li, Zhao Song, Runzhou Tao, and Guangyi Zhang
    In 2022 IEEE International Conference on Big Data (Big Data), 2022
  4. ICCV
    Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection
    Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, and Tatsuya Harada
    In European Conference on Computer Vision, 2022
  5. MICCAI
    Dynamic bank learning for semi-supervised federated image diagnosis with class imbalance
    Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, and Qi Dou
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022
  6. MICCAI
    Class Impression for Data-Free Incremental Learning
    Sana Ayromlou, Purang Abolmaesumi, Teresa Tsang, and Xiaoxiao Li
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022
  7. TMI
    Fedni: Federated graph learning with network inpainting for population-based disease prediction
    Liang Peng, Nan Wang, Nicha Dvornek, Xiaofeng Zhu, and Xiaoxiao Li
    IEEE Transactions on Medical Imaging, 2022
  8. ICLR
    Federated learning from only unlabeled data with class-conditional-sharing clients
    Nan Lu, Zhao Wang, Xiaoxiao Li, Gang Niu, Qi Dou, and Masashi Sugiyama
    International Conference on Learning Representations, 2022
  9. AAAI
    Evaluating explainable AI on a multi-modal medical imaging task: Can existing algorithms fulfill clinical requirements?
    Weina Jin, Xiaoxiao Li, and Ghassan Hamarneh
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2022

2021

  1. 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
  2. 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
  3. 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
  4. NeurIPS
    Subgraph federated learning with missing neighbor generation
    Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, and Siu Ming Yiu
    Advances in Neural Information Processing Systems, 2021