Shimin Di

Venues

Frequent coauthors

Papers

1. ACR: Adaptive Context Refactoring via Context Refactoring Operators for Multi-Turn Dialogue
   ACL 2026 ·

   Jiawei Shen

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2. Active Multi-source Domain Adaptation for Multimodal Fake News Detection
   AAAI 2026 ·

   Yanping Chen

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3. CoS: Towards Optimal Event Scheduling via Chain-of-Scheduling
   AAAI 2026 ·

   Yiming Zhao

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4. Faithful in Steps: Improving Generalization and Citation in RAG via Query Decomposition
   AAAI 2026 ·

   Yue Liu

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5. KCVR: Knowledge-Centric Video Reconstruction for Structured Pedagogical Summarization via Dynamic Graph Planning
   ACL 2026 ·

   Jingjiang Liu

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6. Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language Models
   WSDM 2026 ·

   Jialiang Wang

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7. RSDA: Restoring Stale Data Affinity via Dynamic Renovation Strategy for Mitigating Data Scarcity
   ACL 2026 ·

   Yidan Liang

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8. RemoteReasoner: Towards Unifying Geospatial Reasoning Workflow
   AAAI 2026 ·

   Liang Yao

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9. RobustReviewAI: A Robustness Evaluation System for AI-Powered Peer Review
   WWW 2026 ·

   Siming Yuan

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10. TIV: Thought Injection via Vectors for Efficient Reasoning in Large Reasoning Models
    AAAI 2026 ·

    Yi Cao

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11. Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation
    SIGKDD 2026 ·

    Xujie Yuan

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12. A Selective Learning Method for Temporal Graph Continual Learning
    ICML 2025 ·

    Hanmo Liu

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13. DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation
    ACL 2025 ·

    Hanghui Guo

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14. ESCFD: Probabilistic Flow Diffusion Model for Accelerated High-Quality Single-Cell RNA-seq Data Synthesis
    SIGKDD 2025 ·

    Shuangyin Li

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15. RemoteSAM: Towards Segment Anything for Earth Observation
    ACM MM 2025 ·

    Liang Yao

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16. Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing Models
    ICLR 2025 ·

    Hanmo Liu

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17. UEMM-Air: Enable UAVs to Undertake More Multi-modal Tasks
    ACM MM 2025 ·

    Liang Yao

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18. Understanding the Embedding Models on Hyper-relational Knowledge Graph
    CIKM 2025 ·

    Yubo Wang

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19. A Universal and Interpretable Method for Enhancing Stock Price Prediction
    CIKM 2024 ·

    Yuchen Liu

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20. E2GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks
    ICDE 2024 ·

    Haoyang Li

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21. Effective Data Selection and Replay for Unsupervised Continual Learning
    ICDE 2024 ·

    Hanmo Liu

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22. Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense
    VLDB 2024 ·

    Haoyang Li

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23. GradGCL: Gradient Graph Contrastive Learning
    ICDE 2024 ·

    Ran Li

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24. Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks
    SIGKDD 2024 ·

    Jiachuan Wang

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25. Search to Fine-Tune Pre-Trained Graph Neural Networks for Graph-Level Tasks
    ICDE 2024 ·

    Zhili Wang

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26. SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph
    SIGKDD 2024 ·

    Ran Li

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