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Tianlong Gu

10 papers at tracked venues · 6 at CORE A* · active 2024–2026

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Venues

AAAI ×3CIKM ×2ICDE ×2ACL ×1ICDM ×1RecSys ×1

Frequent coauthors

Xuan Feng
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Tongxin Xu
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Zhenqiang Ye
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Wentao Yu
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Xuemin Wang
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Jiayang Li
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Qin Liu
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Hang Zhou
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Papers

  1. C2PO: Diagnosing and Disentangling Bias Shortcuts in LLMs
    ACL 2026 ·
    Xuan Feng
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  2. FairGSE: Fairness-Aware Graph Neural Network Without High False Positive Rates
    AAAI 2026 ·
    Zhenqiang Ye
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  3. Improving Recommendation Fairness via Graph Structure and Representation Augmentation
    CIKM 2025 ·
    Tongxin Xu
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  4. Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction
    AAAI 2025 ·
    Xuan Feng
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  5. Modeling Inter-Intra Heterogeneity for Graph Federated Learning
    AAAI 2025 ·
    Wentao Yu
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  6. Multi-Behavior Intent Disentanglement for Recommendation via Information Bottleneck Principle
    CIKM 2025 ·
    Tongxin Xu
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  7. Towards Fair Graph Neural Networks via Graph Counterfactual Without Sensitive Attributes
    ICDE 2025 ·
    Xuemin Wang
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  8. Dual-Teacher De-Biasing Distillation Framework for Multi-Domain Fake News Detection
    ICDE 2024 ·
    Jiayang Li
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  9. FairCRS: Towards User-oriented Fairness in Conversational Recommendation Systems
    RecSys 2024 ·
    Qin Liu
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  10. Traffic Pattern Sharing for Federated Traffic Flow Prediction with Personalization
    ICDM 2024 ·
    Hang Zhou
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