Liang Duan

Venues

Frequent coauthors

Papers

1. Dual-Kernel Graph Community Contrastive Learning
   AAAI 2026 ·

   Xiang Chen

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2. Conditional Information Bottleneck-Based Multivariate Time Series Forecasting
   IJCAI 2025 ·

   Xinhui Li

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3. Efficient Cardinality Estimation with Query-induced Probability Inference
   ICDM 2025 ·

   Huashuai Liu

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4. GFlowNet with Gradient-based Optimization for Bayesian Network Structure Learning
   CIKM 2025 ·

   Zhu Yang

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5. Hierarchical Structure Enhanced Graph Representation for Link Prediction
   ICDM 2025 ·

   Wenjie Liu

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6. Improving Graph Contrastive Learning with Community Structure
   UAI 2025 ·

   Xiang Chen

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7. Learning Conditional Probability Distributions for Robust Probabilistic Inference in Bayesian Network
   CIKM 2025 ·

   Xinran Wu

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8. Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies
   UAI 2025 · Liang Duan
9. Trend-Aware Multivariate Time Series Forecasting Based on Mutual Information and Cross Attention
   ICDM 2025 ·

   Jie Tu

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10. Structural Entropy Based Graph Structure Learning for Node Classification
    AAAI 2024 · Liang Duan
11. Transformer Based Bayesian Network Embedding for Efficient Multiple Probabilistic Inferences
    CIKM 2024 ·

    Kun Yue

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