PPaperPicks

Bo Dong

Xi'an Jiaotong University, National Engineering Lab for Big Data Analytics, Xi'an, China

20 papers at tracked venues · 15 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0001-7695-9072 ↗Homepage ↗

Venues

AAAI ×8IJCAI ×4ACM MM ×3SIGKDD ×2CVPR ×1ECAI ×1WWW ×1

Frequent coauthors

Bin Shi
×12
Wei Feng
×7
Qianqian Wang
×7
Zhen Peng
×5
Quanxue Gao
×5
Yiming Xu
×4
Kai Sun
×3
Xu Hua
×3
Zhenwei Wu
×3
Zhiqiang Tao
×3
Jianfei Ruan
×3
Yuxin Lin
×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. Federated Multi-view Graph Clustering with Incomplete Attribute Imputation
    IJCAI 2025 ·
    Wei Feng
    ,
    Zeyu Bi
    ,
    Qianqian Wang
    , Bo Dong
  5. 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
  6. Out-of-Distribution Generalization on Graphs via Progressive Inference
    AAAI 2025 ·
    Yiming Xu
    ,
    Bin Shi
    ,
    Zhen Peng
    ,
    Huixiang Liu
    , Bo Dong,
    Chen Chen
  7. 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
  8. Self-Supervised Continual Graph Learning via Adaptive Spaced Replay on Node Proxies
    SIGKDD 2025 ·
    Zhen Peng
    ,
    Xu Hua
    ,
    Jingchen Hao
    ,
    Qika Lin
    , Bo Dong,
    Chao Shen
  9. Tensorial Multi-view Clustering with Deep Anchor Graph Projection
    IJCAI 2025 ·
    Wei Feng
    ,
    Dongyuvan Wei
    ,
    Qianqian Wang
    , Bo Dong
  10. 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
  11. 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
  12. Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means
    IJCAI 2024 ·
    Wei Feng
    ,
    Zhenwei Wu
    ,
    Qianqian Wang
    , Bo Dong,
    Zhiqiang Tao
    ,
    Quanxue Gao
  13. Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning
    CVPR 2024 ·
    Rui Zhao
    ,
    Bin Shi
    ,
    Jianfei Ruan
    ,
    Tianze Pan
    , Bo Dong
  14. Federated Fuzzy C-means with Schatten-p Norm Minimization
    ACM MM 2024 ·
    Wei Feng
    ,
    Zhenwei Wu
    ,
    Qianqian Wang
    , Bo Dong,
    Quanxue Gao
  15. Federated Multi-View Clustering via Tensor Factorization
    IJCAI 2024 ·
    Wei Feng
    ,
    Zhenwei Wu
    ,
    Qianqian Wang
    , Bo Dong,
    Zhiqiang Tao
    ,
    Quanxue Gao
  16. Multi-View Clustering Based on Deep Non-negative Tensor Factorization
    ACM MM 2024 ·
    Wei Feng
    ,
    Dongyuan Wei
    ,
    Qianqian Wang
    , Bo Dong,
    Quanxue Gao
  17. Partial Multi-View Clustering via Self-Supervised Network
    AAAI 2024 ·
    Wei Feng
    ,
    Guoshuai Sheng
    ,
    Qianqian Wang
    ,
    Quanxue Gao
    ,
    Zhiqiang Tao
    , Bo Dong
  18. 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
  19. Tackling Instance-Dependent Label Noise with Class Rebalance and Geometric Regularization
    SIGKDD 2024 ·
    Shuzhi Cao
    ,
    Jianfei Ruan
    , Bo Dong,
    Bin Shi
  20. The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution
    AAAI 2024 ·
    Yuefei Wu
    ,
    Bin Shi
    , Bo Dong,
    Qinghua Zheng
    ,
    Hua Wei