Zhe Liu

Venues

Frequent coauthors

Papers

1. CG-FedLLM: How to Compress Gradients in Federated Fine-Tuning for Large Language Models
   ECAI 2025 ·

   Huiwen Wu

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2. DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately
   AAAI 2025 ·

   Huiwen Wu

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3. Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates
   AAAI 2025 ·

   Puning Zhao

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4. Enhancing Learning with Label Differential Privacy by Vector Approximation
   ICLR 2025 ·

   Puning Zhao

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5. Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement
   CVPR 2025 ·

   Yuchen Ren

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6. Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path
   AAAI 2025 ·

   Yuchen Ren

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7. TWIST: Text-encoder Weight-editing for Inserting Secret Trojans in Text-to-Image Models
   ACL 2025 ·

   Xindi Li

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8. A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy
   NeurIPS 2024 ·

   Puning Zhao

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9. Attribute-Missing Graph Clustering Network
   AAAI 2024 ·

   Wenxuan Tu

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10. Boosting Image Restoration via Priors from Pre-Trained Models
    CVPR 2024 ·

    Xiaogang Xu

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11. DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering
    AAAI 2024 ·

    Shengju Yu

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12. Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations
    AAAI 2024 ·

    Ke Liang

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