Xiaolin Zheng

Venues

Frequent coauthors

Papers

1. DAPrompt: Dual Alignment Prompt of Structure and Semantics for Few-shot Graph Learning
   AAAI 2026 ·

   Lifan Jiang

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2. FeedGuard: Online Critic-Guided Reinforcement Learning with Privacy-Preserving Feedback for Recommendation
   WWW 2026 ·

   Mengying Zhu

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3. LLM-enhanced Federated Graph Learning with Geometry-aware Graph Projection and Shared Subspace Aggregation
   WWW 2026 ·

   Pengyang Zhou

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4. Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm
   AAAI 2026 ·

   Jiajie Su

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5. TermGPT: Multi-Level Contrastive Fine-Tuning for Terminology Adaptation in Legal and Financial Domains
   AAAI 2026 ·

   Yidan Sun

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6. Controllable Unlearning for Image-to-Image Generative Models via ϵ-Constrained Optimization
   ICLR 2025 ·

   Xiaohua Feng

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7. DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation
   AAAI 2025 ·

   Fan Wang

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8. Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization
   ICML 2025 ·

   Xiuyuan Wang

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9. FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models
   ICML 2025 ·

   Xinting Liao

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10. FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning
    WSDM 2025 ·

    Pengyang Zhou

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11. FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation
    AAAI 2025 ·

    Pengyang Zhou

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12. Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation
    SIGIR 2025 ·

    Pengyang Zhou

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13. Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation
    WWW 2025 ·

    Weiming Liu

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14. LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning
    AAAI 2025 ·

    Li Zhang

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15. Modality-Aware Diffusion Augmentation with Consistent Subspace Disentanglement for Session-based Recommendation
    SIGKDD 2025 ·

    Jiajie Su

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16. Plug and Play: Enabling Pluggable Attribute Unlearning in Recommender Systems
    WWW 2025 ·

    Xiaohua Feng

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17. Tackling Federated Long-Tailed Learning via Synthetic Feature-Based Decoupled Training
    SIGKDD 2025 ·

    Huabin Zhu

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18. UMU-Bench: Closing the Modality Gap in Multimodal Unlearning Evaluation
    NeurIPS 2025 ·

    Chengye Wang

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19. CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation
    SIGKDD 2024 ·

    Fan Wang

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20. ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction
    AAAI 2024 ·

    Mengpu Liu

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21. FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection
    NeurIPS 2024 ·

    Xinting Liao

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22. Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward
    AAAI 2024 ·

    Mengyuan Yang

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23. Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems
    SIGIR 2024 ·

    Zhongxuan Han

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24. Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems
    AAAI 2024 ·

    Zhongxuan Han

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25. Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation
    AAAI 2024 ·

    Weiming Liu

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26. Protecting Split Learning by Potential Energy Loss
    IJCAI 2024 ·

    Fei Zheng

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27. Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation
    ICML 2024 ·

    Weiming Liu

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28. Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
    CVPR 2024 ·

    Xinting Liao

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29. Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport
    SIGIR 2024 ·

    Jiajie Su

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