Huifeng Guo

Venues

Frequent coauthors

Papers

1. Don't Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs
   AAAI 2026 ·

   Ziyi Zhao

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2. Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing
   SIGKDD 2026 ·

   Wenlin Zhang

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3. FuXi-γ: Efficient Sequential Recommendation with Exponential-Power Temporal Encoder and Diagonal-Sparse Positional Mechanism
   SIGKDD 2026 ·

   Dezhi Yi

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4. Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
   AAAI 2026 ·

   Yingyi Zhang

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5. Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
   SIGIR 2026 ·

   Xiaopeng Li

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6. Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
   ACL 2025 ·

   Pengyue Jia

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7. Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
   WWW 2025 ·

   Hao Wang

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8. Joint Modeling in Deep Recommender Systems
   WWW 2025 ·

   Pengyue Jia

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9. Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model
   SIGIR 2025 ·

   Luankang Zhang

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10. LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
    WWW 2025 ·

    Jingtong Gao

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11. LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models
    SIGKDD 2025 ·

    Ruiming Tang

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12. LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration
    SIGKDD 2025 ·

    Yingyi Zhang

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13. P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models
    NeurIPS 2025 ·

    Tingjia Shen

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14. Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
    NeurIPS 2025 ·

    Wenlin Zhang

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15. Prompt Tuning as User Inherent Profile Inference Machine
    CIKM 2025 ·

    Yusheng Lu

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16. SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
    CIKM 2025 ·

    Pengyue Jia

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17. SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
    WWW 2025 ·

    Jingtong Gao

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18. Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
    CIKM 2025 ·

    Xiaopeng Li

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19. AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising
    RecSys 2024 ·

    Yang Yang

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20. D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations
    AAAI 2024 ·

    Pengyue Jia

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21. Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation
    WSDM 2024 ·

    Yuhao Wang

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22. ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
    SIGKDD 2024 ·

    Pengyue Jia

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23. Enhancing Click-through Rate Prediction in Recommendation Domain with Search Query Representation
    CIKM 2024 ·

    Yuening Wang

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24. Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization
    WWW 2024 ·

    Zirui Zhu

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25. HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations
    CIKM 2024 ·

    Jingtong Gao

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26. LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
    CIKM 2024 ·

    Yuhao Wang

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