Yinghuan Shi

Venues

Frequent coauthors

Papers

1. Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA
   AAAI 2026 ·

   Zhan Fa

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2. Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
   CVPR 2025 ·

   Xiran Wang

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3. Correspondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild
   ICCV 2025 ·

   Haoran Wang

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4. Divide-And-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-Supervised Continual Learning
   ICCV 2025 ·

   Yue Duan

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5. Fusing Dual Encoders: Single-Source Domain Generalization with Extremely Few Annotations
   MICCAI 2025 ·

   Ruofan Wang

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6. GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion
   MICCAI 2025 ·

   Shumeng Li

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7. Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD
   ICLR 2025 ·

   Ze Peng

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8. Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation
   CVPR 2025 ·

   Qinghe Ma

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9. Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting
   CVPR 2025 ·

   Maochen Yang

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10. Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP
    AAAI 2025 ·

    Yayuan Li

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11. Towards Perfection: Building Inter-component Mutual Correction for Retinex-based Low-light Image Enhancement
    ACM MM 2025 ·

    Luyang Cao

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12. Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
    CVPR 2024 ·

    Qinghe Ma

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13. Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization
    ECCV 2024 ·

    Jiajun Hu

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14. PC2: Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal Retrieval
    ACM MM 2024 ·

    Yue Duan

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15. PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance
    AAAI 2024 ·

    Taicai Chen

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16. Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning
    AAAI 2024 ·

    Yue Duan

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17. START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation
    NeurIPS 2024 ·

    Jintao Guo

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18. The Devil Is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation
    ECCV 2024 ·

    Muyang Qiu

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