Sheng Huang

Venues

Frequent coauthors

Papers

1. U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions
   AAAI 2026 ·

   Guanjun Wang

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2. Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data
   AAAI 2025 ·

   Lele Fu

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3. FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data
   IJCAI 2025 · Sheng Huang
4. Federated Domain Generalization with Decision Insight Matrix
   IJCAI 2025 ·

   Tianchi Liao

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5. GLNCD: Graph-Level Novel Category Discovery
   NeurIPS 2025 ·

   Bowen Deng

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6. Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering
   IJCAI 2025 ·

   Lele Fu

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7. Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective
   ICML 2025 ·

   Lele Fu

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8. Soft-consensual Federated Learning for Data Heterogeneity via Multiple Paths
   NeurIPS 2025 · Sheng Huang
9. THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
   AAAI 2025 ·

   Bowen Deng

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10. Towards Understanding Parametric Generalized Category Discovery on Graphs
    ICML 2025 ·

    Bowen Deng

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11. Unsupervised Federated Graph Learning
    NeurIPS 2025 ·

    Lele Fu

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