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Di Yao

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

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Venues

ICDE ×3AAAI ×1ICDM ×1SIGKDD ×1WSDM ×1WWW ×1

Frequent coauthors

Shuo Liu
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×3
Chang Gong
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×2
Wenbin Li
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×2

Papers

  1. PORCA: Root Cause Analysis with Partially Observed Data
    ICDE 2026 ·
    Chang Gong
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  2. Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining?
    SIGKDD 2026 ·
    Shuo Liu
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  3. Effective and Efficient Representation Learning for Flight Trajectories
    AAAI 2025 ·
    Shuo Liu
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  4. STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis
    WWW 2025 ·
    Wenbin Li
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  5. AnomalyLLM: Few-Shot Anomaly Edge Detection for Dynamic Graphs Using Large Language Models
    ICDM 2024 ·
    Shuo Liu
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  6. CausalMMM: Learning Causal Structure for Marketing Mix Modeling
    WSDM 2024 ·
    Chang Gong
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  7. CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection
    ICDE 2024 ·
    Wenbin Li
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  8. Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering
    ICDE 2024 · Di Yao