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Yanyan Shen

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

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Venues

VLDB ×5SIGMOD ×4AAAI ×3NeurIPS ×2CIKM ×1ICLR ×1ICML ×1SIGKDD ×1

Frequent coauthors

Shihong Gao
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Lifan Zhao
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Jingzhi Fang
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Jiale Deng
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Jingxuan He
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Xin Zhang
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Qiqi Zhou
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Jiaqi Zhu
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Tong Li
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Zhikai Wang
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Jinyong Fan
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Papers

  1. CoShap: A Scalable Coalition Growth Approach to Shapley Value Approximation
    SIGMOD 2026 ·
    Jingxuan He
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  2. Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling
    VLDB 2026 ·
    Xin Zhang
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  3. Mil: Cost-guided Minimum Makespan Scheduling for Applications of Multiple LLMs
    VLDB 2026 ·
    Jingzhi Fang
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  4. Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving
    SIGMOD 2025 ·
    Shihong Gao
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  5. Faster Convergence in Mini-batch Graph Neural Networks Training with Pseudo Full Neighborhood Compensation
    VLDB 2025 ·
    Qiqi Zhou
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  6. In-Context Adaptation to Concept Drift for Learned Database Operations
    ICML 2025 ·
    Jiaqi Zhu
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  7. Influence Guided Context Selection for Effective Retrieval-Augmented Generation
    NeurIPS 2025 ·
    Jiale Deng
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  8. Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning
    NeurIPS 2025 ·
    Lifan Zhao
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  9. Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting
    SIGKDD 2025 ·
    Lifan Zhao
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  10. ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs
    VLDB 2024 ·
    Shihong Gao
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  11. Efficient Training of Graph Neural Networks on Large Graphs
    VLDB 2024 · Yanyan Shen
  12. MASTER: Market-Guided Stock Transformer for Stock Price Forecasting
    AAAI 2024 ·
    Tong Li
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  13. Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Sample Selection
    CIKM 2024 ·
    Zhikai Wang
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  14. Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators
    ICLR 2024 ·
    Lifan Zhao
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  15. SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement
    SIGMOD 2024 ·
    Shihong Gao
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  16. STile: Searching Hybrid Sparse Formats for Sparse Deep Learning Operators Automatically
    SIGMOD 2024 ·
    Jingzhi Fang
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  17. Self-Interpretable Graph Learning with Sufficient and Necessary Explanations
    AAAI 2024 ·
    Jiale Deng
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  18. StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting
    AAAI 2024 ·
    Jinyong Fan
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