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Sanglu Lu

15 papers at tracked venues · 12 at CORE A* · active 2024–2026

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Venues

AAAI ×4ACM MM ×3IJCAI ×2ACL ×1CVPR ×1EMNLP ×1ICDE ×1NeurIPS ×1WWW ×1

Frequent coauthors

Zhiyuan Yu
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Xiaobin Hong
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Shiwei Gan
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Mingkai Lin
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Gong Chen
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Xiaokun Wang
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Ning Wang
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Yimiao Shao
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Xiangkai Ma
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Kang Xia
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Papers

  1. Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method
    AAAI 2026 ·
    Zhiyuan Yu
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  2. EcoTune: Edge-Cloud Collaborative Model Adaptation for Budget-Constrained On-Device SLM Personalization
    WWW 2026 ·
    Gong Chen
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  3. Thermometer of Thoughts: Enhancing LLM's Exploration via Attention Temperature Modulation
    ACL 2026 ·
    Zhiyuan Yu
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  4. Aggregation Mechanism Based Graph Heterogeneous Networks Distillation
    IJCAI 2025 ·
    Xiaobin Hong
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  5. Contextual Structure Knowledge Transfer for Graph Neural Networks
    AAAI 2025 ·
    Zhiyuan Yu
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  6. Decode-What-Matters: Frame-Level Parallel Generative Decoding to Accelerate Large-Scale Video Analytics
    ACM MM 2025 ·
    Xiaokun Wang
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  7. MixSignGraph: A Sign Sequence is Worth Mixed Graphs of Nodes
    NeurIPS 2025 ·
    Shiwei Gan
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  8. PVTNL: Prompting Vision Transformers with Natural Language for Generalizable Person Re-identification
    EMNLP 2025 ·
    Ning Wang
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  9. QuantileFormer: Probabilistic Time Series Forecasting with a Pattern-Mixture Decomposed VAE Transformer
    IJCAI 2025 ·
    Yimiao Shao
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  10. Unified Graph Neural Networks Pre-training for Multi-domain Graphs
    AAAI 2025 ·
    Mingkai Lin
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  11. Label Attentive Distillation for GNN-Based Graph Classification
    AAAI 2024 ·
    Xiaobin Hong
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  12. Scalable Multi-Source Pre-training for Graph Neural Networks
    ACM MM 2024 ·
    Mingkai Lin
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  13. SignGraph: A Sign Sequence is Worth Graphs of Nodes
    CVPR 2024 ·
    Shiwei Gan
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  14. TS3Net: Triple Decomposition with Spectrum Gradient for Long-Term Time Series Analysis
    ICDE 2024 ·
    Xiangkai Ma
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  15. Vi2ACT: Video-enhanced Cross-modal Co-learning with Representation Conditional Discriminator for Few-shot Human Activity Recognition
    ACM MM 2024 ·
    Kang Xia
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