2024 ECCV Federated Learning with Openset Noisy Labels Zonglin Di, Zhaowei Zhu, Xiaoxiao Li, and Yang Liu European Conference on Computer Vision, 2024 Bib @article{di2024federated, title = {Federated Learning with Openset Noisy Labels }, author = {Di, Zonglin and Zhu, Zhaowei and Li, Xiaoxiao and Liu, Yang}, journal = {European Conference on Computer Vision}, year = {2024}, } 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 Bib PDF Code @article{ayromlou2024ccsi, title = {CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning}, author = {Ayromlou, Sana and Tsang, Teresa and Abolmaesumi, Purang and Li, Xiaoxiao}, year = {2024}, journal = {Medical Image Analysis}, } 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 Bib PDF @article{peng2023mmgpl, title = {MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning}, author = {Peng, Liang and Cai, Songyue and Wu, Zongqian and Shang, Huifang and Zhu, Xiaofeng and Li, Xiaoxiao}, journal = {Medical Image Analysis}, year = {2024}, } 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 Bib PDF @article{huang2024overcoming, title = {Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors}, author = {Huang, Chun-Yin and Srinivas, Karthik and Zhang, Xin and Li, Xiaoxiao}, journal = {Proceedings of the 41st International Conference on Machine Learning}, year = {2024}, } 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 Bib PDF @article{peng2024fedcal, title = {FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler}, author = {Peng, Hongyi and Yu, Han and Tang, Xiaoli and Li, Xiaoxiao}, journal = {Proceedings of the 41st International Conference on Machine Learning}, year = {2024}, } 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 Bib PDF @article{qiu2023learning, title = {Learning High-Order Relationships of Brain Regions}, author = {Qiu, Weikang and Chu, Huangrui and Wang, Selena and Zuo, Haolan and Li, Xiaoxiao and Zhao, Yize and Ying, Rex}, journal = {Proceedings of the 41st International Conference on Machine Learning}, year = {2024}, } 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}, } 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 Bib HTML PDF @article{zhao2024less, title = {LESS: Label-efficient multi-scale learning for cytological whole slide image screening}, author = {Zhao, Beidi and Deng, Wenlong and Li, Zi Han Henry and Zhou, Chen and Gao, Zuhua and Wang, Gang and Li, Xiaoxiao}, journal = {Medical Image Analysis}, pages = {103109}, year = {2024}, publisher = {Elsevier}, } 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 Bib PDF Code @article{jin2024backdoor, title = {Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP}, author = {Jin, Ruinan and Huang, Chun-Yin and You, Chenyu and Li, Xiaoxiao}, journal = {2nd IEEE Conference on Secure and Trustworthy Machine Learning}, year = {2024}, } 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 Bib PDF @inproceedings{jiang2024heterogeneous, title = {Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate}, author = {Jiang, Meirui and Le, Anjie and Li, Xiaoxiao and Dou, Qi}, booktitle = {The Twelfth International Conference on Learning Representations}, year = {2024}, } 2023 ICML Federated adversarial learning: A framework with convergence analysis Xiaoxiao Li, Zhao Song, and Jiaming Yang In International Conference on Machine Learning, 2023 Bib PDF @inproceedings{li2023federated, title = {Federated adversarial learning: A framework with convergence analysis}, author = {Li, Xiaoxiao and Song, Zhao and Yang, Jiaming}, booktitle = {International Conference on Machine Learning}, pages = {19932--19959}, year = {2023}, organization = {PMLR}, } 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}, } 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 Bib @article{yang2023dynamic, title = {Dynamic Corrected Split Federated Learning with Homomorphic Encryption for U-shaped Medical Image Networks}, author = {Yang, Ziyuan and Chen, Yingyu and Huangfu, Huijie and Ran, Maosong and Wang, Hui and Li, Xiaoxiao and Zhang, Yi}, journal = {IEEE Journal of Biomedical and Health Informatics}, year = {2023}, publisher = {IEEE}, } MedIA Backdoor attack and defense in federated generative adversarial network-based medical image synthesis Ruinan Jin, and Xiaoxiao Li Medical Image Analysis, 2023 Bib HTML PDF @article{jin2023backdoor, title = {Backdoor attack and defense in federated generative adversarial network-based medical image synthesis}, author = {Jin, Ruinan and Li, Xiaoxiao}, journal = {Medical Image Analysis}, pages = {102965}, year = {2023}, publisher = {Elsevier}, } 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 Bib PDF @article{chen2023fedsoup, title = {FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation}, author = {Chen, Minghui and Jiang, Meirui and Dou, Qi and Wang, Zehua and Li, Xiaoxiao}, journal = {International Conference on Medical Image Computing and Computer-Assisted Intervention}, year = {2023}, } 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 Bib PDF Code @article{bannadabhavi2023community, title = {Community-Aware Transformer for Autism Prediction in fMRI Connectome}, author = {Bannadabhavi, Anushree and Lee, Soojin and Deng, Wenlong and Li, Xiaoxiao}, journal = {arXiv preprint arXiv:2307.10181}, year = {2023}, } 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 Bib PDF Code @inproceedings{yoon2023sadm, title = {SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation}, author = {Yoon, Jee Seok and Zhang, Chenghao and Suk, Heung-Il and Guo, Jia and Li, Xiaoxiao}, booktitle = {International Conference on Information Processing in Medical Imaging}, pages = {388--400}, year = {2023}, organization = {Springer}, } 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 Bib PDF Code @inproceedings{deng2023fairness, title = {On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations}, author = {Deng, Wenlong and Zhong, Yuan and Dou, Qi and Li, Xiaoxiao}, booktitle = {International Conference on Information Processing in Medical Imaging}, pages = {158--169}, year = {2023}, organization = {Springer}, } 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 Bib HTML Code @inproceedings{setayesh2022perfedmask, title = {PerFedMask: Personalized Federated Learning with Optimized Masking Vectors}, author = {Setayesh, Mehdi and Li, Xiaoxiao and Wong, Vincent WS}, booktitle = {The Eleventh International Conference on Learning Representations}, year = {2023}, } Deep learning with connectomes Nicha C Dvornek, and Xiaoxiao Li In Connectome Analysis, 2023 Bib @incollection{dvornek2023deep, title = {Deep learning with connectomes}, author = {Dvornek, Nicha C and Li, Xiaoxiao}, booktitle = {Connectome Analysis}, pages = {289--308}, year = {2023}, publisher = {Elsevier}, } 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 Bib HTML PDF @article{jin2023guidelines, title = {Guidelines and evaluation of clinical explainable AI in medical image analysis}, author = {Jin, Weina and Li, Xiaoxiao and Fatehi, Mostafa and Hamarneh, Ghassan}, journal = {Medical Image Analysis}, volume = {84}, pages = {102684}, year = {2023}, publisher = {Elsevier}, } 2022 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}, } 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 Bib HTML Code @article{huang2022dataset, title = {A Dataset Auditing Method for Collaboratively Trained Machine Learning Models}, author = {Huang, Yangsibo and Huang, Chun-Yin and Li, Xiaoxiao and Li, Kai}, journal = {IEEE Transactions on Medical Imaging}, year = {2022}, publisher = {IEEE}, } 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 Bib PDF @inproceedings{li2022convergence, title = {A convergence theory for federated average: Beyond smoothness}, author = {Li, Xiaoxiao and Song, Zhao and Tao, Runzhou and Zhang, Guangyi}, booktitle = {2022 IEEE International Conference on Big Data (Big Data)}, pages = {1292--1297}, year = {2022}, organization = {IEEE}, } 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 Bib PDF Code @inproceedings{cui2022exploring, title = {Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection}, author = {Cui, Ziteng and Zhu, Yingying and Gu, Lin and Qi, Guo-Jun and Li, Xiaoxiao and Zhang, Renrui and Zhang, Zenghui and Harada, Tatsuya}, booktitle = {European Conference on Computer Vision}, pages = {473--491}, year = {2022}, organization = {Springer}, } 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 Bib PDF Code @inproceedings{jiang2022dynamic, title = {Dynamic bank learning for semi-supervised federated image diagnosis with class imbalance}, author = {Jiang, Meirui and Yang, Hongzheng and Li, Xiaoxiao and Liu, Quande and Heng, Pheng-Ann and Dou, Qi}, booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention}, pages = {196--206}, year = {2022}, organization = {Springer}, } 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 Bib PDF @inproceedings{ayromlou2022class, title = {Class Impression for Data-Free Incremental Learning}, author = {Ayromlou, Sana and Abolmaesumi, Purang and Tsang, Teresa and Li, Xiaoxiao}, booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention}, pages = {320--329}, year = {2022}, organization = {Springer}, } 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 Bib PDF @article{peng2022fedni, title = {Fedni: Federated graph learning with network inpainting for population-based disease prediction}, author = {Peng, Liang and Wang, Nan and Dvornek, Nicha and Zhu, Xiaofeng and Li, Xiaoxiao}, journal = {IEEE Transactions on Medical Imaging}, year = {2022}, publisher = {IEEE}, } 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 Bib PDF Code @article{lu2022federated, title = {Federated learning from only unlabeled data with class-conditional-sharing clients}, author = {Lu, Nan and Wang, Zhao and Li, Xiaoxiao and Niu, Gang and Dou, Qi and Sugiyama, Masashi}, journal = {International Conference on Learning Representations}, year = {2022}, } 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 Bib PDF Code @inproceedings{jin2022evaluating, title = {Evaluating explainable AI on a multi-modal medical imaging task: Can existing algorithms fulfill clinical requirements?}, author = {Jin, Weina and Li, Xiaoxiao and Hamarneh, Ghassan}, booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence}, volume = {36}, number = {11}, pages = {11945--11953}, year = {2022}, } 2021 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}, } 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}, } 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}, } 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 Bib PDF @article{zhang2021subgraph, title = {Subgraph federated learning with missing neighbor generation}, author = {Zhang, Ke and Yang, Carl and Li, Xiaoxiao and Sun, Lichao and Yiu, Siu Ming}, journal = {Advances in Neural Information Processing Systems}, volume = {34}, pages = {6671--6682}, year = {2021}, }