Xiaorui Liu

Venues

Frequent coauthors

Papers

1. Risk-Controlled Event-Driven Cascading Updates for Knowledge Graph Consistency Restoration
   ACL 2026 ·

   Bo Ni

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2. Unlearning Inversion Attacks for Graph Neural Networks
   WSDM 2026 ·

   Jiahao Zhang

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3. Autoregressive-Conditioned Diffusion for Semi-Supervised Thyroid Ultrasound Segmentation with Optical Flow-Based Pseudo Labels
   ICCV 2025 · Xiaorui Liu
4. Efficient End-to-end Language Model Fine-tuning on Graphs
   SIGKDD 2025 ·

   Rui Xue

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5. Harnessing Robust Statistics for Trustworthy AI
   AAAI 2025 · Xiaorui Liu
6. Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks
   ICML 2025 ·

   Rui Xue

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7. HiLT: A Library for Generating Human-in-the-Loop Data Transformation GUIs
   UIST 2025 ·

   Sora Kanosue

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8. Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization
   ICML 2025 ·

   Weizhi Gao

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9. Robustness Reprogramming for Representation Learning
   ICLR 2025 ·

   Zhichao Hou

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10. Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
    NeurIPS 2024 ·

    Weizhi Gao

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11. Data Quality-aware Graph Machine Learning
    CIKM 2024 ·

    Yu Wang

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12. Linear-Time Graph Neural Networks for Scalable Recommendations
    WWW 2024 ·

    Jiahao Zhang

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13. ProTransformer: Robustify Transformers via Plug-and-Play Paradigm
    NeurIPS 2024 ·

    Zhichao Hou

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14. Robust Graph Neural Networks via Unbiased Aggregation
    NeurIPS 2024 ·

    Zhichao Hou

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15. Structural Fairness-aware Active Learning for Graph Neural Networks
    ICLR 2024 ·

    Haoyu Han

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