Binbin Hu

Venues

Frequent coauthors

Papers

1. GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs
   ACL 2026 ·

   Meixiu Long

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2. Token-level Collaborative Alignment for LLM-based Generative Recommendation
   WWW 2026 ·

   Fake Lin

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3. Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness
   CIKM 2025 ·

   Sirui Chen

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4. Decentralized Model-Free Monitoring of Multi-UAV-Multi-USV Systems Using Sparse Data and Bayesian Learning
   IROS 2025 ·

   Jiajie Huang

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5. Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
   WSDM 2025 ·

   Zhe Wang

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6. Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation
   ICDE 2025 ·

   Chunjing Gan

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7. Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data
   WSDM 2025 · Binbin Hu
8. Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking
   ACL 2025 ·

   Yichi Zhang

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9. How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
   WSDM 2025 ·

   Siyi Lin

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10. Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning
    ICLR 2025 ·

    Yichi Zhang

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11. Rankformer: A Graph Transformer for Recommendation based on Ranking Objective
    WWW 2025 ·

    Sirui Chen

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12. Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation
    AAAI 2025 ·

    Yichi Zhang

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13. Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering
    ACL 2025 ·

    Xinyu Tang

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14. Can Small Language Models be Good Reasoners for Sequential Recommendation?
    WWW 2024 ·

    Yuling Wang

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15. Coordinated Landing Control for Cross-Domain UAV-USV Fleets Using Heterogeneous-Feature Matching
    ICRA 2024 ·

    Jianing Ding

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16. DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation
    SIGKDD 2024 ·

    Zhicheng An

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17. Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs
    SIGKDD 2024 ·

    Junjie Wang

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18. Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
    EMNLP 2024 ·

    Junjie Wang

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19. NativE: Multi-modal Knowledge Graph Completion in the Wild
    SIGIR 2024 ·

    Yichi Zhang

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20. Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction
    WSDM 2024 ·

    Yakun Wang

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21. Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement
    SIGKDD 2024 ·

    Yakun Wang

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22. PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation
    WSDM 2024 ·

    Chunjing Gan

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23. PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
    NeurIPS 2024 ·

    Weiqin Yang

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24. ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool
    RecSys 2024 ·

    Changxin Tian

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25. The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective
    CIKM 2024 · Binbin Hu
26. To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation
    CIKM 2024 ·

    Zhigang Huangfu

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