Xiaobin Hong

Venues

Frequent coauthors

Papers

1. EcoTune: Edge-Cloud Collaborative Model Adaptation for Budget-Constrained On-Device SLM Personalization
   WWW 2026 ·

   Gong Chen

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2. Learnable Matrix Profile for Motif Discovery on Multivariate Time Series
   AAAI 2026 ·

   Mingkai Lin

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3. Multimodal Graph Representation Learning with Dynamic Information Pathways
   AAAI 2026 · Xiaobin Hong
4. Aggregation Mechanism Based Graph Heterogeneous Networks Distillation
   IJCAI 2025 · Xiaobin Hong
5. Contextual Structure Knowledge Transfer for Graph Neural Networks
   AAAI 2025 ·

   Zhiyuan Yu

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6. GCoder: Improving Large Language Model for Generalized Graph Reasoning
   CIKM 2025 ·

   Qifan Zhang

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7. Global-Semantic Alignment Distillation for Partial Multi-view Classification
   AAAI 2025 ·

   Xiaoli Wang

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8. Semantic-Supervised Spatial-Temporal Fusion for LiDAR-Based 3D Object Detection
   ICRA 2025 ·

   Chaoqun Wang

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9. Unified Graph Neural Networks Pre-training for Multi-domain Graphs
   AAAI 2025 ·

   Mingkai Lin

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10. Unlock the Power of Unlabeled Data in Language Driving Model
    ICRA 2025 ·

    Chaoqun Wang

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11. Label Attentive Distillation for GNN-Based Graph Classification
    AAAI 2024 · Xiaobin Hong
12. Scalable Multi-Source Pre-training for Graph Neural Networks
    ACM MM 2024 ·

    Mingkai Lin

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13. TS3Net: Triple Decomposition with Spectrum Gradient for Long-Term Time Series Analysis
    ICDE 2024 ·

    Xiangkai Ma

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