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Bin Shi

12 papers at tracked venues · 11 at CORE A* · active 2024–2026

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Venues

AAAI ×7ACM MM ×1CVPR ×1ECAI ×1SIGKDD ×1WWW ×1

Frequent coauthors

Bo Dong
×12
Yiming Xu
×4
Zhen Peng
×4
Kai Sun
×3
Jianfei Ruan
×3
Yuxin Lin
×2
Jingyao Zhang
×2
Jiarun Chen
×2
Chen Chen
×2
Xu Hua
×2
Song Wang
×2
Shuzhi Cao
×2

Papers

  1. Enhancing Pre-training Data Detection in LLMs Through Discriminative and Symmetric Prefix Selection
    AAAI 2026 ·
    Kai Sun
    ,
    Yuxin Lin
    ,
    Bo Dong
    ,
    Jingyao Zhang
    , Bin Shi
  2. Scope Delineation Before Localization: A Two-Stage Framework for Enhancing Failure Attribution in Multi-Agent Systems
    AAAI 2026 ·
    Kai Sun
    ,
    Wenqiang Li
    ,
    Bo Dong
    ,
    Yuxin Lin
    ,
    Jingyao Zhang
    , Bin Shi
  3. Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection
    ACM MM 2025 ·
    Yiming Xu
    ,
    Jiarun Chen
    ,
    Zhen Peng
    ,
    Zihan Chen
    ,
    Qika Lin
    ,
    Lan Ma
    , Bin Shi,
    Bo Dong
  4. NI-GDBA: Non-Intrusive Distributed Backdoor Attack Based on Adaptive Perturbation on Federated Graph Learning
    WWW 2025 ·
    Ken Li
    , Bin Shi,
    Jiazhe Wei
    ,
    Bo Dong
  5. Out-of-Distribution Generalization on Graphs via Progressive Inference
    AAAI 2025 ·
    Yiming Xu
    , Bin Shi,
    Zhen Peng
    ,
    Huixiang Liu
    ,
    Bo Dong
    ,
    Chen Chen
  6. Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective
    AAAI 2025 ·
    Yiming Xu
    ,
    Zhen Peng
    , Bin Shi,
    Xu Hua
    ,
    Bo Dong
    ,
    Song Wang
    ,
    Chen Chen
  7. Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning
    ECAI 2025 ·
    Yiming Xu
    ,
    Xu Hua
    ,
    Zhen Peng
    , Bin Shi,
    Jiarun Chen
    ,
    Xingbo Fu
    ,
    Song Wang
    ,
    Bo Dong
  8. VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification
    AAAI 2025 ·
    Kai Sun
    ,
    Hao Wu
    , Bin Shi,
    Samuel Mensah
    ,
    Peng Liu
    ,
    Bo Dong
  9. Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning
    CVPR 2024 ·
    Rui Zhao
    , Bin Shi,
    Jianfei Ruan
    ,
    Tianze Pan
    ,
    Bo Dong
  10. RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection
    AAAI 2024 ·
    Shuzhi Cao
    ,
    Jianfei Ruan
    ,
    Bo Dong
    , Bin Shi,
    Qinghua Zheng
  11. Tackling Instance-Dependent Label Noise with Class Rebalance and Geometric Regularization
    SIGKDD 2024 ·
    Shuzhi Cao
    ,
    Jianfei Ruan
    ,
    Bo Dong
    , Bin Shi
  12. The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution
    AAAI 2024 ·
    Yuefei Wu
    , Bin Shi,
    Bo Dong
    ,
    Qinghua Zheng
    ,
    Hua Wei