Xiaoxiao Li

Venues

Frequent coauthors

Papers

1. For-Value: Efficient Forward-Only Data Valuation for finetuning LLMs and VLMs
   ACL 2026 ·

   Wenlong Deng

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2. TreeBridge: Aligning LLM Embeddings in Industrial Recommender Systems
   AAAI 2026 ·

   Yabo Ni

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3. A Reinforcement Learning-based Bidding Strategy for Data Consumers in Auction-based Federated Learning
   NeurIPS 2025 ·

   Xiaoli Tang

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4. Can Textual Gradient Work in Federated Learning?
   ICLR 2025 ·

   Minghui Chen

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5. Class-wise Balancing Data Replay for Federated Class-Incremental Learning
   NeurIPS 2025 ·

   Zhuang Qi

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6. Commute Graph Neural Networks
   ICML 2025 ·

   Wei Zhuo

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7. DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
   ICLR 2025 ·

   Wenlong Deng

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8. Federated Causally Invariant Feature Learning
   AAAI 2025 ·

   Xianjie Guo

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9. Federated Representation Angle Learning
   ICCV 2025 ·

   Liping Yi

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10. GMValuator: Similarity-based Data Valuation for Generative Models
    ICLR 2025 ·

    Jiaxi Yang

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11. Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning
    NeurIPS 2025 ·

    Zhuang Qi

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12. Multi-Session Budget Optimization for Forward Auction-based Federated Learning
    ICML 2025 ·

    Xiaoli Tang

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13. On the Effect of Negative Gradient in Group Relative Deep Reinforcement Optimization
    NeurIPS 2025 ·

    Wenlong Deng

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14. PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis
    MICCAI 2025 ·

    Beidi Zhao

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15. S4M: S4 for multivariate time series forecasting with Missing values
    ICLR 2025 ·

    Peng Jing

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16. Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt
    MICCAI 2025 ·

    Jiahui Yu

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17. pFedAFM: Adaptive Feature Mixture for Data-Level Personalization in Heterogeneous Federated Learning on Mobile Edge Devices
    ICDE 2025 ·

    Liping Yi

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18. pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning
    AAAI 2025 ·

    Liping Yi

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19. A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning
    IJCAI 2024 ·

    Xiaoli Tang

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20. A Simple and Provable Approach for Learning on Noisy Labeled Medical Images
    ACM MM 2024 ·

    Nan Wang

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21. Debiased Noise Editing on Foundation Models for Fair Medical Image Classification
    MICCAI 2024 ·

    Ruinan Jin

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22. Dual Calibration-based Personalised Federated Learning
    IJCAI 2024 ·

    Xiaoli Tang

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23. FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
    NeurIPS 2024 ·

    Ruinan Jin

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24. FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler
    ICML 2024 ·

    Hongyi Peng

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25. FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning
    IJCAI 2024 ·

    Liping Yi

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26. Federated Impression for Learning with Distributed Heterogeneous Data
    MICCAI 2024 ·

    Atrin Arya

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27. Federated Learning with Local Openset Noisy Labels
    ECCV 2024 ·

    Zonglin Di

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28. Federated Model Heterogeneous Matryoshka Representation Learning
    NeurIPS 2024 ·

    Liping Yi

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29. Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate
    ICLR 2024 ·

    Meirui Jiang

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30. Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration
    MICCAI 2024 ·

    Xiaoran Zhang

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31. HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks
    MICCAI 2024 ·

    Sadaf Sadeghian

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32. Intelligent Agents for Auction-based Federated Learning: A Survey
    IJCAI 2024 ·

    Xiaoli Tang

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33. Learning High-Order Relationships of Brain Regions
    ICML 2024 ·

    Weikang Qiu

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34. Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning
    NeurIPS 2024 ·

    Minghui Chen

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35. Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors
    ICML 2024 ·

    Chun-Yin Huang

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36. Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification
    MICCAI 2024 ·

    Jiahui Yu

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37. Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection
    IJCAI 2024 ·

    Xianjie Guo

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38. Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning
    CVPR 2024 ·

    Wenlong Deng

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