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Yuyin Zhou

22 papers at tracked venues · 19 at CORE A* · active 2024–2026

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Venues

CVPR ×9NeurIPS ×3ICLR ×2ICML ×2MICCAI ×2AAAI ×1ACL ×1ECCV ×1ICCV ×1

Frequent coauthors

Feng Wang
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Jinrui Yang
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Mude Hui
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Pengxin Guo
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Harim Kim
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Jiawei Mao
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Yunfei Xie
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Zhongxing Xu
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Xianhang Li
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Junfei Xiao
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Juncheng Wu
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Junyuan Zhang
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Papers

  1. PrefRAG: Correcting Semantic Errors in Auto-Formalization for Logical Reasoning with Program Preference RAG
    ACL 2026 · Yuyin Zhou
  2. A New Federated Learning Framework Against Gradient Inversion Attacks
    AAAI 2025 ·
    Pengxin Guo
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  3. Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency
    CVPR 2025 ·
    Feng Wang
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  4. Generative Image Layer Decomposition with Visual Effects
    CVPR 2025 ·
    Jinrui Yang
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  5. HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing
    ICLR 2025 ·
    Mude Hui
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  6. Harnessing EHRs for Diffusion-Based Anomaly Detection on Chest X-Rays
    MICCAI 2025 ·
    Harim Kim
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  7. Mamba-Reg: Vision Mamba Also Needs Registers
    CVPR 2025 ·
    Feng Wang
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  8. MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs
    ICCV 2025 ·
    Jiawei Mao
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  9. MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
    ICLR 2025 ·
    Yunfei Xie
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  10. More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models
    NeurIPS 2025 ·
    Zhongxing Xu
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  11. Scaling Laws in Patchification: An Image Is Worth 50, 176 Tokens And More
    ICML 2025 ·
    Feng Wang
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  12. What If We Recaption Billions of Web Images with LLaMA-3?
    ICML 2025 ·
    Xianhang Li
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  13. A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties
    ECCV 2024 ·
    Junfei Xiao
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  14. DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor
    NeurIPS 2024 ·
    Juncheng Wu
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  15. FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning
    CVPR 2024 ·
    Junyuan Zhang
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  16. L2B: Learning to Bootstrap Robust Models for Combating Label Noise
    CVPR 2024 · Yuyin Zhou
  17. Masked Autoencoders are Secretly Efficient Learners
    CVPR 2024 ·
    Zihao Wei
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  18. MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections
    CVPR 2024 ·
    Mude Hui
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  19. Scaling White-Box Transformers for Vision
    NeurIPS 2024 ·
    Jinrui Yang
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  20. Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-Training
    CVPR 2024 ·
    Yipeng Gao
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  21. Tackling Data Heterogeneity in Federated Learning via Loss Decomposition
    MICCAI 2024 ·
    Shuang Zeng
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  22. Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding
    CVPR 2024 ·
    Zhiheng Cheng
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