PPaperPicks

Huifeng Guo

26 papers at tracked venues · 18 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Ruiming Tang
×19
Yichao Wang
×17
Xiangyu Zhao
×16
Pengyue Jia
×12
Xiaopeng Li
×11
Yong Liu
×10
Xiangyang Li
×7
Zhaocheng Du
×7
Yuhao Wang
×7
Bo Chen
×7
Wei Guo
×5
Yejing Wang
×5

Papers

  1. Don't Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs
    AAAI 2026 ·
    Ziyi Zhao
    ,
    Chongming Gao
    ,
    Yang Zhang
    ,
    Haoyan Liu
    ,
    Weinan Gan
    , Huifeng Guo,
    Yong Liu
    ,
    Fuli Feng
  2. Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing
    SIGKDD 2026 ·
    Wenlin Zhang
    ,
    Xiangyang Li
    ,
    Qiyuan Ge
    ,
    Kuicai Dong
    ,
    Pengyue Jia
    ,
    Xiaopeng Li
    ,
    Zijian Zhang
    ,
    Maolin Wang
    ,
    Yichao Wang
    , Huifeng Guo,
    Ruiming Tang
    ,
    Xiangyu Zhao
  3. FuXi-γ: Efficient Sequential Recommendation with Exponential-Power Temporal Encoder and Diagonal-Sparse Positional Mechanism
    SIGKDD 2026 ·
    Dezhi Yi
    ,
    Wei Guo
    ,
    Wenyang Cui
    ,
    Wenxuan He
    , Huifeng Guo,
    Yong Liu
    ,
    Zhenhua Dong
    ,
    Ye Lu
  4. Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
    AAAI 2026 ·
    Yingyi Zhang
    ,
    Pengyue Jia
    ,
    Derong Xu
    ,
    Yi Wen
    ,
    Xianneng Li
    ,
    Yichao Wang
    ,
    Wenlin Zhang
    ,
    Xiaopeng Li
    ,
    Weinan Gan
    , Huifeng Guo,
    Yong Liu
    ,
    Xiangyu Zhao
  5. Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
    SIGIR 2026 ·
    Xiaopeng Li
    ,
    Wenlin Zhang
    ,
    Yingyi Zhang
    ,
    Pengyue Jia
    ,
    Yejing Wang
    ,
    Yichao Wang
    ,
    Yong Liu
    , Huifeng Guo,
    Xiangyu Zhao
  6. Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
    ACL 2025 ·
    Pengyue Jia
    ,
    Derong Xu
    ,
    Xiaopeng Li
    ,
    Zhaocheng Du
    ,
    Xiangyang Li
    ,
    Yichao Wang
    ,
    Yuhao Wang
    ,
    Qidong Liu
    ,
    Maolin Wang
    , Huifeng Guo,
    Ruiming Tang
    ,
    Xiangyu Zhao
  7. Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
    WWW 2025 ·
    Hao Wang
    ,
    Wei Guo
    ,
    Luankang Zhang
    ,
    Jin Yao Chin
    ,
    Yufei Ye
    , Huifeng Guo,
    Yong Liu
    ,
    Defu Lian
    ,
    Ruiming Tang
    ,
    Enhong Chen
  8. Joint Modeling in Deep Recommender Systems
    WWW 2025 ·
    Pengyue Jia
    ,
    Jingtong Gao
    ,
    Yejing Wang
    ,
    Yuhao Wang
    ,
    Xiaopeng Li
    ,
    Qidong Liu
    ,
    Yichao Wang
    ,
    Bo Chen
    , Huifeng Guo,
    Ruiming Tang
  9. Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model
    SIGIR 2025 ·
    Luankang Zhang
    ,
    Kenan Song
    ,
    Yi Quan Lee
    ,
    Wei Guo
    ,
    Hao Wang
    ,
    Yawen Li
    , Huifeng Guo,
    Yong Liu
    ,
    Defu Lian
    ,
    Enhong Chen
  10. LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
    WWW 2025 ·
    Jingtong Gao
    ,
    Bo Chen
    ,
    Xiangyu Zhao
    ,
    Weiwen Liu
    ,
    Xiangyang Li
    ,
    Yichao Wang
    ,
    Wanyu Wang
    , Huifeng Guo,
    Ruiming Tang
  11. LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models
    SIGKDD 2025 ·
    Ruiming Tang
    ,
    Chenxu Zhu
    ,
    Bo Chen
    ,
    Weipeng Zhang
    ,
    Menghui Zhu
    ,
    Xinyi Dai
    , Huifeng Guo
  12. LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration
    SIGKDD 2025 ·
    Yingyi Zhang
    ,
    Pengyue Jia
    ,
    Xianneng Li
    ,
    Derong Xu
    ,
    Maolin Wang
    ,
    Yichao Wang
    ,
    Zhaocheng Du
    , Huifeng Guo,
    Yong Liu
    ,
    Ruiming Tang
    ,
    Xiangyu Zhao
  13. P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models
    NeurIPS 2025 ·
    Tingjia Shen
    ,
    Hao Wang
    ,
    Chuhan Wu
    ,
    Jin Yao Chin
    ,
    Wei Guo
    ,
    Yong Liu
    , Huifeng Guo,
    Defu Lian
    ,
    Ruiming Tang
    ,
    Enhong Chen
  14. Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
    NeurIPS 2025 ·
    Wenlin Zhang
    ,
    Xiangyang Li
    ,
    Kuicai Dong
    ,
    Yichao Wang
    ,
    Pengyue Jia
    ,
    Xiaopeng Li
    ,
    Yingyi Zhang
    ,
    Derong Xu
    ,
    Zhaocheng Du
    , Huifeng Guo,
    Ruiming Tang
    ,
    Xiangyu Zhao
  15. Prompt Tuning as User Inherent Profile Inference Machine
    CIKM 2025 ·
    Yusheng Lu
    ,
    Zhaocheng Du
    ,
    Xiangyang Li
    ,
    Pengyue Jia
    ,
    Yejing Wang
    ,
    Weiwen Liu
    ,
    Yichao Wang
    , Huifeng Guo,
    Ruiming Tang
    ,
    Zhenhua Dong
    ,
    Yongrui Duan
    ,
    Xiangyu Zhao
  16. SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
    CIKM 2025 ·
    Pengyue Jia
    ,
    Zhaocheng Du
    ,
    Yichao Wang
    ,
    Xiangyu Zhao
    ,
    Xiaopeng Li
    ,
    Yuhao Wang
    ,
    Qidong Liu
    , Huifeng Guo,
    Ruiming Tang
  17. SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
    WWW 2025 ·
    Jingtong Gao
    ,
    Zhaocheng Du
    ,
    Xiaopeng Li
    ,
    Yichao Wang
    ,
    Xiangyang Li
    , Huifeng Guo,
    Ruiming Tang
    ,
    Xiangyu Zhao
  18. Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
    CIKM 2025 ·
    Xiaopeng Li
    ,
    Jingtong Gao
    ,
    Pengyue Jia
    ,
    Xiangyu Zhao
    ,
    Yichao Wang
    ,
    Wanyu Wang
    ,
    Yejing Wang
    ,
    Yuhao Wang
    , Huifeng Guo,
    Ruiming Tang
  19. AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising
    RecSys 2024 ·
    Yang Yang
    ,
    Bo Chen
    ,
    Chenxu Zhu
    ,
    Menghui Zhu
    ,
    Xinyi Dai
    , Huifeng Guo,
    Muyu Zhang
    ,
    Zhenhua Dong
    ,
    Ruiming Tang
  20. D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations
    AAAI 2024 ·
    Pengyue Jia
    ,
    Yichao Wang
    ,
    Shanru Lin
    ,
    Xiaopeng Li
    ,
    Xiangyu Zhao
    , Huifeng Guo,
    Ruiming Tang
  21. Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation
    WSDM 2024 ·
    Yuhao Wang
    ,
    Ziru Liu
    ,
    Yichao Wang
    ,
    Xiangyu Zhao
    ,
    Bo Chen
    , Huifeng Guo,
    Ruiming Tang
  22. ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
    SIGKDD 2024 ·
    Pengyue Jia
    ,
    Yejing Wang
    ,
    Zhaocheng Du
    ,
    Xiangyu Zhao
    ,
    Yichao Wang
    ,
    Bo Chen
    ,
    Wanyu Wang
    , Huifeng Guo,
    Ruiming Tang
  23. Enhancing Click-through Rate Prediction in Recommendation Domain with Search Query Representation
    CIKM 2024 ·
    Yuening Wang
    ,
    Man Chen
    ,
    Yaochen Hu
    ,
    Wei Guo
    ,
    Yingxue Zhang
    , Huifeng Guo,
    Yong Liu
    ,
    Mark Coates
  24. Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization
    WWW 2024 ·
    Zirui Zhu
    ,
    Yong Liu
    ,
    Zangwei Zheng
    , Huifeng Guo,
    Yang You
  25. HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations
    CIKM 2024 ·
    Jingtong Gao
    ,
    Bo Chen
    ,
    Menghui Zhu
    ,
    Xiangyu Zhao
    ,
    Xiaopeng Li
    ,
    Yuhao Wang
    ,
    Yichao Wang
    , Huifeng Guo,
    Ruiming Tang
  26. LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
    CIKM 2024 ·
    Yuhao Wang
    ,
    Yichao Wang
    ,
    Zichuan Fu
    ,
    Xiangyang Li
    ,
    Wanyu Wang
    ,
    Yuyang Ye
    ,
    Xiangyu Zhao
    , Huifeng Guo,
    Ruiming Tang