Bin Pu
16 papers · 2024–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (26) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7)
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Cross-Pollinator
(12)
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Dynamic Duo
(10)
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Keyword Collector
(50)
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Century Club
(11)
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Prolific Year
(7)
Conferences
AAAI (6)
MICCAI (3)
CVPR (2)
ACL (1)
ECCV (1)
ICCV (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
object detection
(4)
medical imaging
(4)
domain adaptation
(2)
mixture of expert
(2)
report generation
(2)
test-time adaptation
(2)
teacher-student learning
(2)
large language model
(2)
interpretable machine learning
(1)
knowledge mining
(1)
domain generalization
(1)
knowledge distillation
(1)
unsupervised learning
(1)
anatomical detection
(1)
few-shot learning
(1)
medical image segmentation
(1)
deepfake detection
(1)
motion estimation
(1)
ultrasound imaging
(1)
unsupervised domain adaptation
(1)
Papers
Organ-Aware Routing Mixture-of-Retrieval Augmented Generation for Fetal Ultrasound Reporting
AAAI 2026
Unified Mixture-of-Experts Framework for Joint Cardiac and Vascular Ultrasound Analysis and Report Generation
AAAI 2026
MPA: Multimodal Prototype Augmentation for Few-Shot Learning
AAAI 2026
MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning
ACL 2026
Topology-Inspired Backward-Free Framework for Test-Time Adaptation in Medical Detection
AAAI 2026
Concept-induced Graph Perception Model for Interpretable Diagnosis
MICCAI 2025
Personalized Federated Side-Tuning for Medical Image Classification
MICCAI 2025
Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images
MICCAI 2025
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
Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation
CVPR 2025
EA-KD: Entropy-based Adaptive Knowledge Distillation
ICCV 2025
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding
NIPS 2024
Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images
ICML 2024
CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos
ECCV 2024
M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection
CVPR 2024