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Shengli Li

6 papers · 2024–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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๐ŸŒ Conference Polyglot ยท Bronze ๐ŸŒ‰ Interdisciplinary Bridge ยท Bronze ๐Ÿš€ Conference Pioneer

Venues

AAAI (3) CVPR (2) MICCAI (1)

Top co-authors

Kenli Li (6) Bin Pu (5) Xingbo Dong (3) Jiewen Yang (3) lei zhao (2) Xinpeng Ding (2) Liwen Wang (2) Xiaomeng Li (2) Jinlin Wu (1) Ying Tan (1)

Research topics

Computer Vision (4) Domain-Specific (4) Machine Learning (3) Deep Learning (2) Analysis (2) Application Areas (2) Models (2) Healthcare & Medicine (1) Clinical (1) Learning Types (1) Techniques (1)

Keywords

medical imaging (3) object detection (3) ultrasound imaging (2) domain adaptation (2) teacher-student learning (2) report generation (2) mixture of expert (1) vision-language model (1) retrieval-augmented generation (1) graph neural network (1) anatomical knowledge (1) fetal ultrasound (1) fetal cardiac (1) fetal growth forecasting (1) unsupervised learning (1) biometric value (1) semi-supervised learning (1) temporal modeling (1) anatomical detection (1) knowledge mining (1)

Papers

F$^2$-Assist: Multi-Phase Fetal Growth Forecast and Report Generation from Ultrasound Examination CVPR 2026 Organ-Aware Routing Mixture-of-Retrieval Augmented Generation for Fetal Ultrasound Reporting AAAI 2026 Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection AAAI 2025 Leveraging Anatomical Consistency for Multi-Object Detection in Ultrasound Images via Source-free Unsupervised Domain Adaptation AAAI 2025 M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection CVPR 2024 Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning MICCAI 2024