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Chunxu Zhang

16 papers at tracked venues · 12 at CORE A* · active 2024–2026

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Venues

WWW ×6AAAI ×3CIKM ×2IJCAI ×2NeurIPS ×1SIGIR ×1SIGKDD ×1

Frequent coauthors

Zijian Zhang
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Jundong Chen
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Chengyang Zhou
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Jing Jiang
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Zeqi Leng
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Riting Xia
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Mingyuan Xia
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Langming Liu
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Papers

  1. Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach
    AAAI 2026 ·
    Jundong Chen
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  2. FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction
    WWW 2026 ·
    Chengyang Zhou
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  3. Learning Evolving Preferences: A Federated Continual Framework for User-Centric Recommendation
    WWW 2026 · Chunxu Zhang
  4. Multimodal-enhanced Federated Recommendation: A Group-wise Fusion Approach
    WWW 2026 · Chunxu Zhang
  5. SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation
    WWW 2026 · Chunxu Zhang
  6. A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions
    WWW 2025 ·
    Jing Jiang
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  7. Distilling A Universal Expert from Clustered Federated Learning
    IJCAI 2025 ·
    Zeqi Leng
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  8. GraphIAM: Two-Stage Algorithm for Improving Class-Imbalanced Node Classification on Attribute-Missing Graphs
    CIKM 2025 ·
    Riting Xia
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  9. LLM-Powered User Simulator for Recommender System
    AAAI 2025 ·
    Zijian Zhang
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  10. Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach
    AAAI 2025 · Chunxu Zhang
  11. TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting
    NeurIPS 2025 ·
    Mingyuan Xia
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  12. Efficient and Robust Regularized Federated Recommendation
    CIKM 2024 ·
    Langming Liu
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  13. Federated Adaptation for Foundation Model-based Recommendations
    IJCAI 2024 · Chunxu Zhang
  14. GPFedRec: Graph-Guided Personalization for Federated Recommendation
    SIGKDD 2024 · Chunxu Zhang
  15. M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
    SIGIR 2024 ·
    Zijian Zhang
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  16. When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions
    WWW 2024 · Chunxu Zhang