Weizhong Zhang

Venues

Frequent coauthors

Papers

1. Advanced Black-Box Tuning of Large Language Models with Limited API Calls
   AAAI 2026 ·

   Zhikang Xie

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2. Balancing Fidelity and Plasticity: Aligning Mixed-Precision Fine-Tuning with Linguistic Hierarchies
   ACL 2026 ·

   Changhai Zhou

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3. Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training
   AAAI 2026 ·

   Weilin Wan

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4. Investigating Data Pruning for Pretraining Biological Foundation Models at Scale
   AAAI 2026 ·

   Yifan Wu

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5. Achieving Ensemble-Like Performance in a Single Model: A Feature Diversification Framework for Image-Text Matching
   AAAI 2025 ·

   Zhao Zhou

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6. Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradient
   ACL 2025 ·

   Yuan Gao

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7. Complete Structure Guided Point Cloud Completion via Cluster- and Instance-Level Contrastive Learning
   NeurIPS 2025 ·

   Yang Chen

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8. Compress Large Language Models via Collaboration Between Learning and Matrix Approximation
   NeurIPS 2025 ·

   Yuesen Liao

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9. Computation and Memory-Efficient Model Compression with Gradient Reweighting
   NeurIPS 2025 ·

   Zhiwei Li

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10. Computational Budget Should Be Considered in Data Selection
    NeurIPS 2025 ·

    Weilin Wan

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11. DreamText: High Fidelity Scene Text Synthesis
    CVPR 2025 ·

    Yibin Wang

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12. Efficient Representativeness-Aware Coreset Selection
    NeurIPS 2025 ·

    Zihao Cheng

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13. Expanding the Scope of Negatives: Boosting Image-Text Matching with Negatives Distribution Guided Learning
    AAAI 2025 ·

    Zhao Zhou

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14. Optimized Gradient Clipping for Noisy Label Learning
    AAAI 2025 ·

    Xichen Ye

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15. Population Normalization for Federated Learning
    CVPR 2025 ·

    Zhuoyao Wang

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16. TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data
    NAACL 2025 ·

    Jipeng Zhang

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17. Towards Robust Influence Functions with Flat Validation Minima
    ICML 2025 ·

    Xichen Ye

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18. Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost
    ICLR 2024 ·

    Yuan Gao

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19. Efficient Denoising Diffusion via Probabilistic Masking
    ICML 2024 · Weizhong Zhang
20. FusionFormer: A Concise Unified Feature Fusion Transformer for 3D Pose Estimation
    AAAI 2024 ·

    Yanlu Cai

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21. Future Motion Dynamic Modeling via Hybrid Supervision for Multi-Person Motion Prediction Uncertainty Reduction
    ACM MM 2024 ·

    Yan Zhuang

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22. High-fidelity Person-centric Subject-to-Image Synthesis
    CVPR 2024 ·

    Yibin Wang

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23. Low Precision Local Training is Enough for Federated Learning
    NeurIPS 2024 ·

    Zhiwei Li

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24. Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection
    AAAI 2024 ·

    Kaiyi Zhang

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25. PoseIRM: Enhance 3D Human Pose Estimation on Unseen Camera Settings via Invariant Risk Minimization
    CVPR 2024 ·

    Yanlu Cai

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26. PrimeComposer: Faster Progressively Combined Diffusion for Image Composition with Attention Steering
    ACM MM 2024 ·

    Yibin Wang

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27. Spurious Feature Diversification Improves Out-of-distribution Generalization
    ICLR 2024 ·

    Yong Lin

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