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Kun Yue

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

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Venues

CIKM ×5ICDM ×3AAAI ×2ACL ×2UAI ×2CHI ×1IJCAI ×1NeurIPS ×1

Frequent coauthors

Wei Zhu
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Xiang Chen
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Xinhui Li
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Liang Duan
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Jingruo Chen
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Gang Hu
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Zhongbin Li
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Huashuai Liu
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Zhu Yang
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Wenjie Liu
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Xinran Wu
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Jie Tu
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Papers

  1. Dissecting Failure Dynamics in Large Language Model Reasoning
    ACL 2026 ·
    Wei Zhu
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  2. Dual-Kernel Graph Community Contrastive Learning
    AAAI 2026 ·
    Xiang Chen
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  3. SituFont: A Just-in-Time Adaptive Intervention Interface for Enhancing Mobile Readability in Situational Visual Impairments
    CHI 2026 ·
    Jingruo Chen
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  4. TaxPraBen: A Scalable Benchmark for Structured Evaluation of LLMs in Chinese Real-World Tax Practice
    ACL 2026 ·
    Gang Hu
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  5. Conditional Information Bottleneck-Based Multivariate Time Series Forecasting
    IJCAI 2025 ·
    Xinhui Li
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  6. Differentiable Probabilistic Logic Reasoning For Knowledge Graph Completion
    CIKM 2025 ·
    Zhongbin Li
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  7. Efficient Cardinality Estimation with Query-induced Probability Inference
    ICDM 2025 ·
    Huashuai Liu
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  8. GFlowNet with Gradient-based Optimization for Bayesian Network Structure Learning
    CIKM 2025 ·
    Zhu Yang
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  9. Hierarchical Structure Enhanced Graph Representation for Link Prediction
    ICDM 2025 ·
    Wenjie Liu
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  10. Improving Graph Contrastive Learning with Community Structure
    UAI 2025 ·
    Xiang Chen
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  11. Learning Conditional Probability Distributions for Robust Probabilistic Inference in Bayesian Network
    CIKM 2025 ·
    Xinran Wu
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  12. Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies
    UAI 2025 ·
    Liang Duan
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  13. SYMPHONY: Synergistic Multi-agent Planning with Heterogeneous Language Model Assembly
    NeurIPS 2025 ·
    Wei Zhu
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  14. Structural Entropy-based Multivariate Time Series Forecasting
    CIKM 2025 ·
    Xinhui Li
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  15. Trend-Aware Multivariate Time Series Forecasting Based on Mutual Information and Cross Attention
    ICDM 2025 ·
    Jie Tu
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  16. Structural Entropy Based Graph Structure Learning for Node Classification
    AAAI 2024 ·
    Liang Duan
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  17. Transformer Based Bayesian Network Embedding for Efficient Multiple Probabilistic Inferences
    CIKM 2024 · Kun Yue