Zhiqiang Xu

Venues

Frequent coauthors

Papers

1. FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Clients
   WWW 2026 ·

   Dezhong Yao

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2. From Style to Story: A Curriculum Learning Approach for Imitative Novel Generation
   ACL 2026 ·

   Xueran Han

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3. Improving Enzyme Prediction with Chemical Reaction Equations by Hypergraph-Enhanced Knowledge Graph Embeddings
   SIGKDD 2026 ·

   Tengwei Song

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4. Sharpness-aware Federated Graph Learning
   WSDM 2026 ·

   Ruiyu Li

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5. Golden Noise for Diffusion Models: A Learning Framework
   ICCV 2025 ·

   Zikai Zhou

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6. OFedED: One-shot Federated Learning with Model Ensemble and Dataset Distillation
   CIKM 2025 ·

   Xuhui Li

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7. Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
   ICML 2025 ·

   Chengqian Gao

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8. Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
   ICLR 2025 ·

   Lichen Bai

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9. Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting
   ICDE 2024 ·

   Minbo Ma

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10. On the Comparison between Multi-modal and Single-modal Contrastive Learning
    NeurIPS 2024 ·

    Wei Huang

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11. Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring
    AAAI 2024 ·

    Peng Tang

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12. Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples
    ICML 2024 ·

    Dake Bu

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