Yejing Wang

Venues

Frequent coauthors

Papers

1. AdapTime: Enabling Adaptive Temporal Reasoning in Large Language Models
   ACL 2026 ·

   Yimin Deng

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2. GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks
   SIGIR 2026 · Yejing Wang
3. LLM-EDT: Large Language Models Enhanced Cross-domain Sequential Recommendation with Dual-phase Training
   SIGIR 2026 ·

   Ziwei Liu

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4. MultiDx: A Multi-Source Knowledge Integration Framework towards Diagnostic Reasoning
   ACL 2026 ·

   Yimin Deng

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5. NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations
   WWW 2026 · Yejing Wang
6. Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
   SIGIR 2026 ·

   Xiaopeng Li

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7. PretrainRL: Alleviating Factuality Hallucination of Large Language Models at the Beginning
   ACL 2026 ·

   Langming Liu

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8. SEARCH-R: Structured Entity-Aware Retrieval with Chain-of-Reasoning Navigator for Multi-hop Question Answering
   ACL 2026 ·

   Yuqing Fu

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9. Tandem: Riding Together with Large and Small Language Models for Efficient Reasoning
   ACL 2026 ·

   Zichuan Fu

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10. A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs
    ACL 2025 ·

    Yimin Deng

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11. Behavior Modeling Space Reconstruction for E-Commerce Search
    WWW 2025 · Yejing Wang
12. Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation
    SIGIR 2025 ·

    Qidong Liu

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13. Generative Auto-Bidding with Value-Guided Explorations
    SIGIR 2025 ·

    Jingtong Gao

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14. Joint Modeling in Deep Recommender Systems
    WWW 2025 ·

    Pengyue Jia

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15. LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
    AAAI 2025 ·

    Qidong Liu

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16. Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends
    SIGKDD 2025 ·

    Qidong Liu

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17. Model Merging for Knowledge Editing
    ACL 2025 ·

    Zichuan Fu

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

    Yusheng Lu

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19. SIGMA: Selective Gated Mamba for Sequential Recommendation
    AAAI 2025 ·

    Ziwei Liu

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

    Xiaopeng Li

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21. Training-free LLM Merging for Multi-task Learning
    ACL 2025 ·

    Zichuan Fu

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22. Bi-Level User Modeling for Deep Recommenders
    ICDM 2024 · Yejing Wang
23. ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
    SIGKDD 2024 ·

    Pengyue Jia

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24. LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
    NeurIPS 2024 ·

    Qidong Liu

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25. MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems
    WSDM 2024 ·

    Dugang Liu

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26. OpenSiteRec: An Open Dataset for Site Recommendation
    SIGIR 2024 ·

    Xinhang Li

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