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Jun Hu

10 papers at tracked venues · 9 at CORE A* · active 2024–2026

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Venues

AAAI ×4ACM MM ×1ICLR ×1ICML ×1IJCAI ×1SIGIR ×1SIGKDD ×1

Frequent coauthors

Yuan Li
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×3
Nan Chen
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×2
Shangheng Chen
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×1
Haoyang Liu
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×1

Papers

  1. DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs
    AAAI 2026 ·
    Yuan Li
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  2. Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning
    AAAI 2026 · Jun Hu
  3. NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification
    AAAI 2026 · Jun Hu
  4. Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion
    SIGIR 2026 ·
    Yuan Li
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  5. A Large-Scale Dataset for Short-Video Topic Peak Prediction and a Large Heterogeneous Graph Model
    ACM MM 2025 ·
    Shangheng Chen
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  6. Adapting Precomputed Features for Efficient Graph Condensation
    ICML 2025 ·
    Yuan Li
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  7. Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation
    AAAI 2025 · Jun Hu
  8. NodeImport: Imbalanced Node Classification with Node Importance Assessment
    SIGKDD 2025 ·
    Nan Chen
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  9. Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition
    IJCAI 2024 ·
    Haoyang Liu
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  10. Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision
    ICLR 2024 ·
    Nan Chen
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