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Liang Yang

Hebei University of Technology, School of Computer Science and Engineering, Tianjin, China

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

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Venues

WWW ×5AAAI ×3ICML ×3IJCAI ×2NeurIPS ×2CVPR ×1ICLR ×1

Frequent coauthors

Jiaming Zhuo
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Ge Zhang
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Ping Zhang
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Di Jin
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Xinyao Wang
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Jiarui Yang
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Junfu Wang
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Papers

  1. Generalizable Graph-level Anomaly Detection via Prompted Anomaly Expansion and Normality Extraction
    WWW 2026 ·
    Ge Zhang
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  2. Multi-Source Information Driven Spatio-Temporal Hypergraph Learning for Traffic Forecasting
    WWW 2026 ·
    Ping Zhang
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  3. Source-Free Graph Foundation Model Adaptation via Pseudo-Source Reconstruction
    AAAI 2026 · Liang Yang
  4. Unveiling Backdoor Propagation in Graphs: Neuron-Centric Defense Mechanisms
    WWW 2026 ·
    Di Jin
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  5. A Closer Look at Graph Transformers: Cross-Aggregation and Beyond
    NeurIPS 2025 ·
    Jiaming Zhuo
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  6. Attribute Association Driven Multi-Task Learning for Session-based Recommendation
    IJCAI 2025 ·
    Xinyao Wang
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  7. DUALFormer: Dual Graph Transformer
    ICLR 2025 ·
    Jiaming Zhuo
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  8. Disentangled Graph Spectral Domain Adaptation
    ICML 2025 · Liang Yang
  9. Do We Really Need Message Passing in Brain Network Modeling?
    ICML 2025 · Liang Yang
  10. Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology
    AAAI 2025 · Liang Yang
  11. Semi-Supervised Clustering Framework for Fine-grained Scene Graph Generation
    AAAI 2025 ·
    Jiarui Yang
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  12. Universal Graph Self-Contrastive Learning
    IJCAI 2025 · Liang Yang
  13. GAUSS: GrAph-customized Universal Self-Supervised Learning
    WWW 2024 · Liang Yang
  14. Graph Contrastive Learning Reimagined: Exploring Universality
    WWW 2024 ·
    Jiaming Zhuo
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  15. Improving Graph Contrastive Learning via Adaptive Positive Sampling
    CVPR 2024 ·
    Jiaming Zhuo
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  16. Understanding Heterophily for Graph Neural Networks
    ICML 2024 ·
    Junfu Wang
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  17. Unified Graph Augmentations for Generalized Contrastive Learning on Graphs
    NeurIPS 2024 ·
    Jiaming Zhuo
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