Dawei Cheng

Venues

Frequent coauthors

Papers

1. Credit and Power Co-evolution Modeling with Dynamic Graph Learning
   WWW 2026 ·

   Wenhao Ying

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2. Delay-Aware Graph Neural Stochastic Differential Equations for Financial Time Series Modeling and Forecasting
   WWW 2026 ·

   Mingjie You

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

   Xiang Ao

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4. Role Perceptual Augmented Temporal Graph Network for Related-party Transaction Detection
   AAAI 2026 ·

   Xin Liu

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5. SoftHist: Teaching Graph Injection Attackers to Camouflage with Memory
   WSDM 2026 ·

   Yidong Jiang

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6. AIGC for Graphs: Current Techniques and Future Trends
   ICDE 2025 ·

   Hanchen Wang

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7. AdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series Forecasting
   CIKM 2025 ·

   Kun Liu

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8. Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
   AAAI 2025 ·

   Yifan Hu

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9. AnchorCoT: Anchors Pave the Way for Multi-hop Reasoning
   ACL 2025 ·

   Tianshi Ming

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10. Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool
    NeurIPS 2025 ·

    Jiangtong Li

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11. Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
    ICLR 2025 ·

    Guibin Zhang

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12. Dual Pairwise Pre-training and Prompt-tuning with Aligned Prototypes for Interbank Credit Rating
    WWW 2025 ·

    Jiehao Tang

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13. Efficient Dynamic Attributed Graph Generation
    ICDE 2025 ·

    Fan Li

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14. Efficient Learning-Based Graph Simulation for Temporal Graphs
    ICDE 2025 ·

    Sheng Xiang

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15. Enhancing Portfolio Optimization via Heuristic-Guided Inverse Reinforcement Learning with Multi-Objective Reward and Graph-based Policy Learning
    IJCAI 2025 ·

    Wenyi Zhang

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16. Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks
    AAAI 2025 ·

    Yanwei Yue

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17. G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
    ICML 2025 ·

    Guibin Zhang

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18. Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection
    WWW 2025 ·

    Sheng Xiang

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19. Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection
    WWW 2025 ·

    Jie Yang

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20. MasRouter: Learning to Route LLMs for Multi-Agent Systems
    ACL 2025 ·

    Yanwei Yue

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21. Multi-Granularity Augmented Graph Learning for Spoofing Transaction Detection
    WWW 2025 ·

    Xin Liu

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22. Neighbor-enhanced Graph Pre-training and Prompt Learning Framework for Fraud Detection
    CIKM 2025 ·

    Ziyang Cheng

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23. PCAN: A Pandemic-Compatible Attentive Neural Network for Retail Sales Forecasting
    IJCAI 2025 ·

    Fan Li

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24. Rationalizing and Augmenting Dynamic Graph Neural Networks
    ICLR 2025 ·

    Guibin Zhang

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25. TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
    ICML 2025 ·

    Yifan Hu

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26. Asymmetric Graph-Based Deep Reinforcement Learning for Portfolio Optimization
    ECML-PKDD 2024 ·

    Haoyu Sun

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27. Cross-contextual Sequential Optimization via Deep Reinforcement Learning for Algorithmic Trading
    CIKM 2024 ·

    Kaiming Pan

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28. Dynamic Graph-based Deep Reinforcement Learning with Long and Short-term Relation Modeling for Portfolio Optimization
    CIKM 2024 ·

    Haoyu Sun

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29. Effective High-order Graph Representation Learning for Credit Card Fraud Detection
    IJCAI 2024 ·

    Yao Zou

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30. GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
    NeurIPS 2024 ·

    Guibin Zhang

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31. Graph Lottery Ticket Automated
    ICLR 2024 ·

    Guibin Zhang

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32. Hypergraph Self-supervised Learning with Sampling-efficient Signals
    IJCAI 2024 ·

    Fan Li

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33. LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
    CIKM 2024 ·

    Peng Zhu

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34. Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning
    ICML 2024 ·

    Yuxuan Bian

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35. Pre-trained Online Contrastive Learning for Insurance Fraud Detection
    AAAI 2024 ·

    Rui Zhang

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36. Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach
    IJCAI 2024 ·

    Jiasheng Wu

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37. Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
    ICML 2024 ·

    Guibin Zhang

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