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Xiao Wang

Beihang University, School of Software, Beijing, China

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

DBLP profile ↗ORCID 0000-0002-4444-7811 ↗Homepage ↗

Venues

WWW ×8AAAI ×4ICML ×2NeurIPS ×2ECAI ×1IJCAI ×1SIGKDD ×1

Frequent coauthors

Zhongjian Zhang
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Yuling Wang
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Yujie Xing
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Yibo Li
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Zihui Chen
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Jialun Zheng
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Chunyu Hu
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Tianyin Liao
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Junwei Gong
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Yanbei Liu
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Yanhu Mo
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Zixuan Yang
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Papers

  1. Can LLMs Fool Graph Learning? Exploring Universal Adversarial Attacks on Text-Attributed Graphs
    WWW 2026 ·
    Zihui Chen
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  2. DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes
    WWW 2026 ·
    Jialun Zheng
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  3. FRiskGPT: A Generative Foundation Model for Financial Risk Detection
    WWW 2026 ·
    Zhongjian Zhang
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  4. Invariant Conditional Molecular Generation Under Distribution Shift
    AAAI 2026 ·
    Chunyu Hu
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  5. Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning
    WWW 2026 ·
    Zhongjian Zhang
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  6. Unifying Graph Out-of-Distribution Generalization and Detection through Spectral Contrastive Invariant learning
    WWW 2026 ·
    Tianyin Liao
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  7. negMIX: Negative Mixup for OOD Generalization in Open-Set Node Classification
    WWW 2026 ·
    Junwei Gong
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  8. Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?
    SIGKDD 2025 ·
    Zhongjian Zhang
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  9. HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport
    ICML 2025 ·
    Yanbei Liu
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  10. HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model
    IJCAI 2025 ·
    Yuling Wang
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  11. Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective
    AAAI 2025 ·
    Zhongjian Zhang
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  12. Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework
    NeurIPS 2025 ·
    Yujie Xing
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  13. A Generalized Neural Diffusion Framework on Graphs
    AAAI 2024 ·
    Yibo Li
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  14. Can Small Language Models be Good Reasoners for Sequential Recommendation?
    WWW 2024 ·
    Yuling Wang
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  15. Graph Contrastive Invariant Learning from the Causal Perspective
    AAAI 2024 ·
    Yanhu Mo
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  16. Graph Fairness Learning under Distribution Shifts
    WWW 2024 ·
    Yibo Li
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  17. Hop-based Heterogeneous Graph Transformer
    ECAI 2024 ·
    Zixuan Yang
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  18. Less is More: on the Over-Globalizing Problem in Graph Transformers
    ICML 2024 ·
    Yujie Xing
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  19. Uncovering the Redundancy in Graph Self-supervised Learning Models
    NeurIPS 2024 ·
    Zhibiao Wang
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