Tianchi Liao

Venues

Frequent coauthors

Papers

1. FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction
   AAAI 2026 ·

   Qing Hu

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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

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4. Federated Domain Generalization with Decision Insight Matrix
   IJCAI 2025 · Tianchi Liao
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

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

   Bowen Deng

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10. Unsupervised Federated Graph Learning
    NeurIPS 2025 ·

    Lele Fu

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11. A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm
    NeurIPS 2024 · Tianchi Liao
12. FedSeProto: Learning Semantic Prototype in Federated Learning
    ECAI 2024 ·

    Yanyi Lai

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13. Improving Message-Passing GNNs by Asynchronous Aggregation
    CIKM 2024 ·

    Jialong Chen

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