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Kui Yu

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

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Venues

AAAI ×4CIKM ×2IJCAI ×2ACL ×1ICLR ×1ICML ×1NeurIPS ×1SIGKDD ×1WWW ×1

Frequent coauthors

Xianjie Guo
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Zhaolong Ling
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Juntao Yang
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Minjiang Huang
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Yuhong Zhang
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Fuyuan Cao
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Libing Yuan
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Yunxia Wang
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Le Wu
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Ziqi Xu
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Shuaibo Hu
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Papers

  1. Multistage Feedback-Driven Causal Discovery from Textual Data with Large Language Models
    WWW 2026 ·
    Juntao Yang
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  2. AI4Reading: Chinese Audiobook Interpretation System Based on Multi-Agent Collaboration
    ACL 2025 ·
    Minjiang Huang
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  3. An Robust Entity Alignment Method based on Knowledge Distillation with Noisy Aligned Pairs
    CIKM 2025 ·
    Yuhong Zhang
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  4. Automatic Visual Instrumental Variable Learning for Confounding-Resistant Domain Generalization
    NeurIPS 2025 ·
    Fuyuan Cao
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  5. Boosting Explainability through Selective Rationalization in Pre-trained Language Models
    SIGKDD 2025 ·
    Libing Yuan
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  6. Federated Causal Structure Learning with Non-identical Variable Sets
    ICML 2025 ·
    Yunxia Wang
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  7. Federated Causally Invariant Feature Learning
    AAAI 2025 ·
    Xianjie Guo
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  8. Hybrid Local Causal Discovery
    IJCAI 2025 ·
    Zhaolong Ling
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  9. Local Causal Discovery Without Causal Sufficiency
    AAAI 2025 ·
    Zhaolong Ling
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  10. Trustworthy Knowledge Discovery and Data Mining (TrustKDD)
    CIKM 2025 ·
    Le Wu
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  11. Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
    ICLR 2024 ·
    Ziqi Xu
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  12. FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning
    AAAI 2024 ·
    Xianjie Guo
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  13. Learning Robust Rationales for Model Explainability: A Guidance-Based Approach
    AAAI 2024 ·
    Shuaibo Hu
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  14. Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection
    IJCAI 2024 ·
    Xianjie Guo
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