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Qidong Liu

City University of Hong Kong, Hong Kong

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

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Venues

SIGIR ×5AAAI ×3ACL ×3SIGKDD ×3CIKM ×2NeurIPS ×2WWW ×2EMNLP ×1ICDM ×1

Frequent coauthors

Yejing Wang
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Pengyue Jia
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Ziwei Liu
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Zijian Zhang
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Yuanshao Zhu
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Derong Xu
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Yimin Deng
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Jingyu Peng
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Mingyuan Xia
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Papers

  1. GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks
    SIGIR 2026 ·
    Yejing Wang
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  2. LLM-EDT: Large Language Models Enhanced Cross-domain Sequential Recommendation with Dual-phase Training
    SIGIR 2026 ·
    Ziwei Liu
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  3. A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs
    ACL 2025 ·
    Yimin Deng
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  4. Behavior Modeling Space Reconstruction for E-Commerce Search
    WWW 2025 ·
    Yejing Wang
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  5. Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation
    SIGIR 2025 · Qidong Liu
  6. Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
    ACL 2025 ·
    Pengyue Jia
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  7. Joint Modeling in Deep Recommender Systems
    WWW 2025 ·
    Pengyue Jia
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  8. LLM-Powered User Simulator for Recommender System
    AAAI 2025 ·
    Zijian Zhang
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  9. LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
    AAAI 2025 · Qidong Liu
  10. Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends
    SIGKDD 2025 · Qidong Liu
  11. Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision
    SIGKDD 2025 ·
    Yuanshao Zhu
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  12. SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
    CIKM 2025 ·
    Pengyue Jia
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  13. SIGMA: Selective Gated Mamba for Sequential Recommendation
    AAAI 2025 ·
    Ziwei Liu
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  14. Stepwise Reasoning Disruption Attack of LLMs
    ACL 2025 ·
    Jingyu Peng
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  15. TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting
    NeurIPS 2025 ·
    Mingyuan Xia
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  16. Bi-Level User Modeling for Deep Recommenders
    ICDM 2024 ·
    Yejing Wang
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  17. ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model
    SIGKDD 2024 ·
    Yuanshao Zhu
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  18. Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
    CIKM 2024 ·
    Derong Xu
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  19. LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
    NeurIPS 2024 · Qidong Liu
  20. M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
    SIGIR 2024 ·
    Zijian Zhang
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  21. Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding
    EMNLP 2024 ·
    Derong Xu
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  22. When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications
    SIGIR 2024 · Qidong Liu