Guansong Pang

Venues

Frequent coauthors

Papers

1. MTAttack: Multi-Target Backdoor Attacks Against Large Vision-Language Models
   AAAI 2026 ·

   Zihan Wang

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2. Robust Graph Learning on the Web: Challenges, Methods, and Applications
   WWW 2026 ·

   Xiang Ao

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3. TargetVAU: Multimodal Anomaly-Aware Reasoning for Target Behavior Understanding in Videos
   AAAI 2026 ·

   Lingru Zhou

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4. Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination
   WACV 2025 ·

   Anindya Sundar Das

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5. AffinityTune: A Prompt-Tuning Framework for Few-Shot Anomaly Detection on Graphs
   SIGKDD 2025 ·

   Jingyan Chen

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6. AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection
   SIGKDD 2025 ·

   Hezhe Qiao

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7. Auxiliary Prompt Tuning of Vision-Language Models for Few-Shot Out-of-Distribution Detection
   ICCV 2025 ·

   Wenjun Miao

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8. Fine-Grained Abnormality Prompt Learning for Zero-Shot Anomaly Detection
   ICCV 2025 ·

   Jiawen Zhu

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9. FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting
   IJCAI 2025 ·

   Shunnan Wang

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10. GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
    ICML 2025 ·

    GuoguoAi

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11. HVI: A New Color Space for Low-light Image Enhancement
    CVPR 2025 ·

    Qingsen Yan

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12. Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting
    ICML 2025 ·

    Min Chen

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13. MetaCAN: Improving Generalizability of Few-shot Anomaly Detection with Meta-learning
    CIKM 2025 ·

    Zhisheng Lv

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14. Open-Set Graph Anomaly Detection via Normal Structure Regularisation
    ICLR 2025 ·

    Qizhou Wang

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15. Robust Hallucination Detection in LLMs via Adaptive Token Selection
    NeurIPS 2025 ·

    Mengjia Niu

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16. SEMPO: Lightweight Foundation Models for Time Series Forecasting
    NeurIPS 2025 ·

    Hui He

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17. Semi-supervised Graph Anomaly Detection via Robust Homophily Learning
    NeurIPS 2025 ·

    Guoguo Ai

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18. Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
    IJCAI 2025 ·

    Chaoxi Niu

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19. Anomaly Heterogeneity Learning for Open-Set Supervised Anomaly Detection
    CVPR 2024 ·

    Jiawen Zhu

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20. AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
    ICLR 2024 ·

    Qihang Zhou

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21. Cluster-Wide Task Slowdown Detection in Cloud System
    SIGKDD 2024 ·

    Feiyi Chen

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22. Generative Semi-supervised Graph Anomaly Detection
    NeurIPS 2024 ·

    Hezhe Qiao

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23. Graph Continual Learning with Debiased Lossless Memory Replay
    ECAI 2024 ·

    Chaoxi Niu

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24. Improving Out-of-Distribution Detection with Disentangled Foreground and Background Features
    ACM MM 2024 ·

    Choubo Ding

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25. LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection
    WWW 2024 ·

    Feiyi Chen

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26. Learning Transferable Negative Prompts for Out-of-Distribution Detection
    CVPR 2024 ·

    Tianqi Li

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27. Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation
    NeurIPS 2024 ·

    Wenjun Miao

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28. Open-Vocabulary Video Anomaly Detection
    CVPR 2024 ·

    Peng Wu

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29. Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning
    AAAI 2024 ·

    Wenjun Miao

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30. Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach
    NeurIPS 2024 ·

    Chaoxi Niu

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31. Self-supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection
    ECML-PKDD 2024 ·

    Yutong Chen

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32. Simple Image-Level Classification Improves Open-Vocabulary Object Detection
    AAAI 2024 ·

    Ruohuan Fang

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33. Toward Generalist Anomaly Detection via In-Context Residual Learning with Few-Shot Sample Prompts
    CVPR 2024 ·

    Jiawen Zhu

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34. Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution
    ICDE 2024 ·

    Yuting Sun

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35. VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection
    AAAI 2024 ·

    Peng Wu

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36. Weakly Supervised Video Anomaly Detection and Localization with Spatio-Temporal Prompts
    ACM MM 2024 ·

    Peng Wu

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