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Kai Wu

13 papers at tracked venues · 13 at CORE A* · active 2024–2026

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Venues

AAAI ×5NeurIPS ×4ICML ×2ACM MM ×1WWW ×1

Frequent coauthors

Shibing Mo
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Xiaobin Li
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Yulin Jin
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Muqi Han
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Chenyang Zhang
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Wenxuan Wang
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Beining Zhang
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Xinyu Guo
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Haoyu Tong
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Lanlan Chen
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Papers

  1. Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability
    AAAI 2026 ·
    Yulin Jin
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  2. Textual Self-Attention Network: Test-Time Preference Optimization Through Textual Gradient-Based Attention
    AAAI 2026 ·
    Shibing Mo
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  3. AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks
    AAAI 2025 ·
    Shibing Mo
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  4. B2Opt: Learning to Optimize Black-box Optimization with Little Budget
    AAAI 2025 ·
    Xiaobin Li
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  5. Enhancing Zero-Shot Black-Box Optimization via Pretrained Models with Efficient Population Modeling, Interaction, and Stable Gradient Approximation
    NeurIPS 2025 ·
    Muqi Han
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  6. PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation based Large Vision-Language Models
    ICML 2025 ·
    Chenyang Zhang
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  7. Synthetic Series-Symbol Data Generation for Time Series Foundation Models
    NeurIPS 2025 ·
    Wenxuan Wang
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  8. TSGGuide: Recommendation Guide for Multivariate Time Series Generation
    WWW 2025 ·
    Beining Zhang
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  9. Automated Loss function Search for Class-imbalanced Node Classification
    ICML 2024 ·
    Xinyu Guo
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  10. Balancing Generalization and Robustness in Adversarial Training via Steering through Clean and Adversarial Gradient Directions
    ACM MM 2024 ·
    Haoyu Tong
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  11. Pretrained Optimization Model for Zero-Shot Black Box Optimization
    NeurIPS 2024 ·
    Xiaobin Li
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  12. Rapid Plug-in Defenders
    NeurIPS 2024 · Kai Wu
  13. Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics
    AAAI 2024 ·
    Lanlan Chen
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