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Qingpeng Cai

Kuaishou Technology, Beijing, China

17 papers at tracked venues · 15 at CORE A* · active 2024–2026

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Venues

SIGIR ×5WWW ×5AAAI ×2SIGKDD ×2WSDM ×2ICML ×1

Frequent coauthors

Minmao Wang
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Yewen Li
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Zijian Zhang
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Xiaobei Wang
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Ziru Liu
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Zhenghai Xue
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Pengyue Jia
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Jiaju Chen
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Jiashun Liu
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Jingtong Gao
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Haoran He
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Papers

  1. Hierarchical Semantic RL: Tackling the Problem of Dynamic Action Space for RL-based Recommendations
    WWW 2026 ·
    Minmao Wang
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  2. LBM: Hierarchical Large Auto-Bidding Model via Reasoning and Acting
    WWW 2026 ·
    Yewen Li
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  3. TemporalExpertNet: Cross-Temporal Knowledge Reuse for Promotion-Aware CVR Prediction
    WSDM 2026 ·
    Minmao Wang
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  4. AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
    WWW 2025 ·
    Zhenghai Xue
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  5. AgentIR: 2nd Workshop on Agent-based Information Retrieval
    SIGIR 2025 ·
    Pengyue Jia
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  6. DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems
    WSDM 2025 ·
    Jiaju Chen
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  7. Flow Factorization for Efficient Generative Flow Networks
    AAAI 2025 ·
    Jiashun Liu
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  8. GAS: Generative Auto-bidding with Post-training Search
    WWW 2025 ·
    Yewen Li
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  9. Generative Auto-Bidding with Value-Guided Explorations
    SIGIR 2025 ·
    Jingtong Gao
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  10. LLM-Powered User Simulator for Recommender System
    AAAI 2025 ·
    Zijian Zhang
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  11. Random Policy Evaluation Uncovers Policies of Generative Flow Networks
    ICML 2025 ·
    Haoran He
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  12. Value Function Decomposition in Markov Recommendation Process
    WWW 2025 ·
    Xiaobei Wang
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  13. AgentIR: 1st Workshop on Agent-based Information Retrieval
    SIGIR 2024 · Qingpeng Cai
  14. Future Impact Decomposition in Request-level Recommendations
    SIGKDD 2024 ·
    Xiaobei Wang
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  15. M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
    SIGIR 2024 ·
    Zijian Zhang
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  16. Modeling User Retention through Generative Flow Networks
    SIGKDD 2024 ·
    Ziru Liu
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  17. Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
    SIGIR 2024 ·
    Ziru Liu
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