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Jiafei Wu

14 papers at tracked venues · 10 at CORE A* · active 2024–2026

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Venues

AAAI ×5IJCAI ×2ACL ×1ACM MM ×1ECAI ×1ECCV ×1ICCV ×1ICLR ×1NeurIPS ×1

Frequent coauthors

Puning Zhao
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Qipeng Xie
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Shengqian Zhu
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Huiwen Wu
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Xiaogang Xu
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Jiaqi Tang
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Yuanbin Qian
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Wenbo Qi
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Papers

  1. Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on Quality
    ACL 2026 ·
    Qipeng Xie
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  2. Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation
    AAAI 2026 ·
    Shengqian Zhu
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  3. Robust-R1: Degradation-Aware Reasoning for Robust Visual Understanding
    AAAI 2026 ·
    Jiaqi Tang
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  4. CG-FedLLM: How to Compress Gradients in Federated Fine-Tuning for Large Language Models
    ECAI 2025 ·
    Huiwen Wu
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  5. DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately
    AAAI 2025 ·
    Huiwen Wu
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  6. Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates
    AAAI 2025 ·
    Puning Zhao
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  7. Enhancing Learning with Label Differential Privacy by Vector Approximation
    ICLR 2025 ·
    Puning Zhao
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  8. HARMONY: A Privacy-preserving and Sensor-agnostic Tele-monitoring system
    IJCAI 2025 ·
    Qipeng Xie
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  9. Learnable Feature Patches and Vectors for Boosting Low-Light Image Enhancement Without External Knowledge
    ICCV 2025 ·
    Xiaogang Xu
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  10. Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition
    IJCAI 2025 ·
    Xiaogang Xu
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  11. PRIME: Prototype-Driven Class Incremental Learning for Medical Image Segmentation
    ACM MM 2025 ·
    Shengqian Zhu
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  12. UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks
    AAAI 2025 ·
    Yuanbin Qian
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  13. A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy
    NeurIPS 2024 ·
    Puning Zhao
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  14. Gradient-Aware for Class-Imbalanced Semi-supervised Medical Image Segmentation
    ECCV 2024 ·
    Wenbo Qi
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