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Yan Xie

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

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Venues

AAAI ×2CIKM ×2CVPR ×2ICLR ×2ACM MM ×1ICCV ×1SIGKDD ×1

Frequent coauthors

Yu Song
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Zequn Zeng
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Kaan Sancak
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Si Zhang
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Jiahui Yang
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Dongqi Fu
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Papers

  1. Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation
    AAAI 2026 ·
    Yu Song
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  2. A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation
    SIGKDD 2025 ·
    Yu Song
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  3. A Scalable and Effective Alternative to Graph Transformers
    AAAI 2025 ·
    Kaan Sancak
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  4. Billion-Scale Graph Deep Learning Framework for Ads Recommendation
    CIKM 2025 ·
    Si Zhang
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  5. Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models
    CVPR 2025 · Yan Xie
  6. GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning
    CIKM 2025 ·
    Yu Song
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  7. MGCFNN: A Neural MultiGrid Solver with Novel Fourier Neural Network for High Wave Number Helmholtz Equations
    ICLR 2025 · Yan Xie
  8. QR-LoRA: Efficient and Disentangled Fine-Tuning via QR Decomposition for Customized Generation
    ICCV 2025 ·
    Jiahui Yang
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  9. HICEScore: A Hierarchical Metric for Image Captioning Evaluation
    ACM MM 2024 ·
    Zequn Zeng
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  10. MeaCap: Memory-Augmented Zero-shot Image Captioning
    CVPR 2024 ·
    Zequn Zeng
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  11. VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
    ICLR 2024 ·
    Dongqi Fu
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