Li Yu

Venues

Frequent coauthors

Papers

1. LENS: Learning to Segment Anything with Unified Reinforced Reasoning
   AAAI 2026 ·

   Lianghui Zhu

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2. Learning to Tell Apart: Weakly Supervised Video Anomaly Detection via Disentangled Semantic Alignment
   AAAI 2026 ·

   Wenti Yin

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3. Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity
   CVPR 2025 ·

   Huaxin Zhang

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4. Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation
   AAAI 2025 ·

   Dongyue Wu

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5. Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting
   MICCAI 2024 ·

   Xian Lin

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6. CDL-UNet: Curriculum-Driven Lightweight 3D U-Net for Abdominal Organ Segmentation
   MICCAI 2024 ·

   Zhehao Wang

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7. DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation
   AAAI 2024 ·

   Zhehao Wang

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8. FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise
   AAAI 2024 ·

   Nannan Wu

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9. FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness
   MICCAI 2024 ·

   Yangyang Xiang

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10. FedMLP: Federated Multi-label Medical Image Classification Under Task Heterogeneity
    MICCAI 2024 ·

    Zhaobin Sun

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11. From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching
    IJCAI 2024 ·

    Nannan Wu

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12. PASSION: Towards Effective Incomplete Multi-Modal Medical Image Segmentation with Imbalanced Missing Rates
    ACM MM 2024 ·

    Junjie Shi

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13. Revisiting Self-attention in Medical Transformers via Dependency Sparsification
    MICCAI 2024 ·

    Xian Lin

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14. Segment Any Cancer in CT Scans Through Equipping SAM with Cross-Slice Interaction and Indicator Prompt
    MICCAI 2024 ·

    Xian Lin

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