Yong Liu

Venues

Frequent coauthors

Papers

1. Accelerating Generative Recommendation via Simple Categorical User Sequence Compression
   WSDM 2026 ·

   Qijiong Liu

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2. Bridging Personalization and AI: From RAG to Agent
   SIGIR 2026 ·

   Pengyue Jia

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3. Doc-Researcher: A Unified System for Multimodal Document Parsing and Deep Research
   WWW 2026 ·

   Kuicai Dong

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

   Ziyi Zhao

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5. FollowTable: A Benchmark for Instruction-Following Table Retrieval
   SIGIR 2026 ·

   Rihui Jin

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

   Dezhi Yi

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7. Full Retraining, Incremental Fine-tuning, and Hybrid Serving: Model Updating and Serving for Industrial Generative Recommender Systems
   SIGIR 2026 ·

   Lu Fan

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8. Generative Data Transformation: From Mixed to Unified Data
   WWW 2026 ·

   Jiaqing Zhang

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9. MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search
   ACL 2026 ·

   Sheng Zhang

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

    Yingyi Zhang

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

    Xiaopeng Li

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12. Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent
    SIGKDD 2026 ·

    Haocheng Yu

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13. To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention
    WWW 2026 ·

    Wenlin Zhang

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14. Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger
    ACL 2025 ·

    Wenjun Li

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15. Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering
    NeurIPS 2025 ·

    Kuicai Dong

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16. Breaking the Bottleneck: User-Specific Optimization and Real-Time Inference Integration for Sequential Recommendation
    SIGKDD 2025 ·

    Wenjia Xie

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17. DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction
    SIGIR 2025 ·

    Kefan Wang

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18. FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
    WWW 2025 ·

    Yufei Ye

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

    Hao Wang

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

    Luankang Zhang

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

    Yingyi Zhang

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22. MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training
    ICML 2025 ·

    Yang Luo

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23. MIT: A Multi-Tower Information Transfer Framework Based on Hierarchical Task Relationship Modeling
    WWW 2025 ·

    Rui Zhou

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24. MMDocIR: Benchmarking Multimodal Retrieval for Long Documents
    EMNLP 2025 ·

    Kuicai Dong

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25. Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
    SIGKDD 2025 ·

    Xiang Xu

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

    Tingjia Shen

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27. RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery
    ACL 2025 ·

    Hongchao Gu

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28. Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
    EMNLP 2025 ·

    Xiang Cheng

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29. SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning
    ICML 2025 · Yong Liu
30. Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning
    NeurIPS 2025 · Yong Liu
31. Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology
    AAAI 2025 ·

    Xiaolin Hu

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32. Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
    IJCAI 2025 ·

    Xinhao Yao

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33. ToolACE: Winning the Points of LLM Function Calling
    ICLR 2025 ·

    Weiwen Liu

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34. Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning
    AAAI 2024 ·

    Yanqi Ge

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35. Dataset Regeneration for Sequential Recommendation
    SIGKDD 2024 ·

    Mingjia Yin

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36. Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation
    WWW 2024 ·

    Yongqiang Han

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

    Yuening Wang

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

    Zirui Zhu

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39. The 2nd Workshop on Recommendation with Generative Models
    WWW 2024 ·

    Wenjie Wang

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40. User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation
    WSDM 2024 ·

    Hengchang Hu

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