Yingxia Shao

Venues

Frequent coauthors

Papers

1. Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling
   VLDB 2026 ·

   Xin Zhang

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2. HFR-MKGC: Hierarchical Fusion Reasoning with MLLMs for Multi-modal Knowledge Graph Completion
   AAAI 2026 ·

   Di Wang

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3. JITPrune: An Efficient Online Feature Pruning Framework for Embedding-Based DLRM Training
   ICDE 2026 ·

   Hongzheng Li

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4. LLMSQLMUTATOR: LLM-Powered Test Case Generation for Database Using Bug Reports
   ICDE 2026 ·

   Chenglin Tian

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5. Rethink Representation Learning for Questionnaire Data
   AAAI 2026 ·

   Guanhua Ye

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6. CSAHFL: Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks
   IJCAI 2025 ·

   Aijing Li

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7. Context-Aware Fine-Grained Graph RAG for Query-Focused Summarization
   CIKM 2025 ·

   Yubin Hong

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8. DBPecker: A Graph-Based Compound Anomaly Diagnosis System for Distributed RDBMSs
   VLDB 2025 ·

   Qingliu Wu

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9. Dynamic Self-adaptive Multiscale Distillation from Pre-trained Multimodal Large Model for Efficient Cross-modal Retrieval
   ACM MM 2025 ·

   Zhengyang Liang

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10. Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width
    WWW 2025 ·

    Zheng Liu

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11. Horizontal Federated Heterogeneous Graph Learning: A Multi-Scale Adaptive Solution to Data Distribution Challenges
    WWW 2025 ·

    Jia Wang

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12. LLMs Are Noisy Oracles! LLM-based Noise-aware Graph Active Learning for Node Classification
    SIGKDD 2025 ·

    Zeang Sheng

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13. Making Text Embedders Few-Shot Learners
    ICLR 2025 ·

    Chaofan Li

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14. Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval
    ACL 2025 ·

    Chaofan Li

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15. Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning
    AAAI 2025 ·

    Jia Wang

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16. Towards A Generalist Code Embedding Model Based On Massive Data Synthesis
    NeurIPS 2025 ·

    Chaofan Li

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17. Towards Scalable and Efficient Graph Structure Learning
    ICDE 2025 ·

    Siqi Shen

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18. Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation
    ICDE 2024 ·

    Xinyi Gao

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19. DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning
    VLDB 2024 ·

    Zhiyuan Li

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20. ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs
    VLDB 2024 ·

    Shihong Gao

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21. LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model
    AAAI 2024 ·

    Linmei Hu

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22. Let Me Show You Step by Step: An Interpretable Graph Routing Network for Knowledge-based Visual Question Answering
    SIGIR 2024 ·

    Duokang Wang

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23. Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval
    ACL 2024 ·

    Chaofan Li

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24. NovaChart: A Large-scale Dataset towards Chart Understanding and Generation of Multimodal Large Language Models
    ACM MM 2024 ·

    Linmei Hu

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25. SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement
    SIGMOD 2024 ·

    Shihong Gao

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26. SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training
    ECML-PKDD 2024 ·

    Xizhi Gu

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