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Zihan Chen

15 papers at tracked venues · 10 at CORE A* · active 2024–2025

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Venues

EMNLP ×5NeurIPS ×3ICML ×2SIGKDD ×2AAAI ×1ACL ×1ACM MM ×1

Frequent coauthors

Xingbo Fu
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Song Wang
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Zaiyi Zheng
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Yiming Xu
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Zhenyu Lei
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Chengshuai Shi
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Binchi Zhang
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Papers

  1. AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction
    EMNLP 2025 ·
    Song Wang
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  2. CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture
    EMNLP 2025 ·
    Zaiyi Zheng
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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. From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning
    EMNLP 2025 · Zihan Chen
  5. Graph Prompting for Graph Learning Models: Recent Advances and Future Directions
    SIGKDD 2025 ·
    Xingbo Fu
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  6. GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
    NeurIPS 2025 ·
    Xingbo Fu
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  7. Learning from Diverse Reasoning Paths with Routing and Collaboration
    EMNLP 2025 ·
    Zhenyu Lei
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  8. MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning
    ICML 2025 · Zihan Chen
  9. Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation
    EMNLP 2025 ·
    Song Wang
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  10. Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning
    AAAI 2025 ·
    Xingbo Fu
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  11. Efficient Prompt Optimization Through the Lens of Best Arm Identification
    NeurIPS 2024 ·
    Chengshuai Shi
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  12. FastGAS: Fast Graph-based Annotation Selection for In-Context Learning
    ACL 2024 · Zihan Chen
  13. Federated Graph Learning with Structure Proxy Alignment
    SIGKDD 2024 ·
    Xingbo Fu
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  14. Mixture of Demonstrations for In-Context Learning
    NeurIPS 2024 ·
    Song Wang
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  15. Verification of Machine Unlearning is Fragile
    ICML 2024 ·
    Binchi Zhang
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