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Yixin Liu

14 papers at tracked venues · 10 at CORE A* · active 2024–2026

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Venues

AAAI ×4CIKM ×3ACL ×2EMNLP ×1ICLR ×1NeurIPS ×1SIGKDD ×1WWW ×1

Frequent coauthors

Shiyuan Li
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Junjun Pan
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Rui Miao
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Yunfeng Zhao
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Xu Shen
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Yili Wang
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Kaize Ding
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Luzhi Wang
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Papers

  1. Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation
    AAAI 2026 ·
    Shiyuan Li
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  2. BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks
    ACL 2026 ·
    Rui Miao
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  3. Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time
    AAAI 2026 ·
    Junjun Pan
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  4. Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection
    ACL 2026 ·
    Junjun Pan
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  5. OFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models
    WWW 2026 ·
    Shiyuan Li
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  6. A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection
    AAAI 2025 ·
    Junjun Pan
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  7. FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection
    CIKM 2025 ·
    Yunfeng Zhao
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  8. Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems
    EMNLP 2025 ·
    Xu Shen
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  9. Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
    ICLR 2025 ·
    Yili Wang
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  10. ARC: A Generalist Graph Anomaly Detector with In-Context Learning
    NeurIPS 2024 · Yixin Liu
  11. Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise
    SIGKDD 2024 ·
    Kaize Ding
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  12. GOODAT: Towards Test-Time Graph Out-of-Distribution Detection
    AAAI 2024 ·
    Luzhi Wang
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  13. Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation
    CIKM 2024 ·
    Shiyuan Li
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  14. Self-Supervision Improves Diffusion Models for Tabular Data Imputation
    CIKM 2024 · Yixin Liu