Bin Shi

Venues

Frequent coauthors

Papers

1. Enhancing Pre-training Data Detection in LLMs Through Discriminative and Symmetric Prefix Selection
   AAAI 2026 ·

   Kai Sun

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2. Scope Delineation Before Localization: A Two-Stage Framework for Enhancing Failure Attribution in Multi-Agent Systems
   AAAI 2026 ·

   Kai Sun

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3. Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection
   ACM MM 2025 ·

   Yiming Xu

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4. NI-GDBA: Non-Intrusive Distributed Backdoor Attack Based on Adaptive Perturbation on Federated Graph Learning
   WWW 2025 ·

   Ken Li

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5. Out-of-Distribution Generalization on Graphs via Progressive Inference
   AAAI 2025 ·

   Yiming Xu

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6. Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective
   AAAI 2025 ·

   Yiming Xu

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7. Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning
   ECAI 2025 ·

   Yiming Xu

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8. VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification
   AAAI 2025 ·

   Kai Sun

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9. Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning
   CVPR 2024 ·

   Rui Zhao

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10. RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection
    AAAI 2024 ·

    Shuzhi Cao

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11. Tackling Instance-Dependent Label Noise with Class Rebalance and Geometric Regularization
    SIGKDD 2024 ·

    Shuzhi Cao

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12. The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution
    AAAI 2024 ·

    Yuefei Wu

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