Peng Wan
10 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (17) π Conference Polyglot Β· Bronze π€ Dynamic Duo (10)
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Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Conference Pioneer
π
Trend Setter
Venues
Top co-authors
Research topics
Deep Learning
(4)
Machine Learning
(4)
Artificial Intelligence
(3)
Computer Vision
(3)
Healthcare & Medicine
(3)
Application Areas
(3)
Architectures
(3)
Clinical
(3)
Domain-Specific
(3)
Core AI
(2)
Learning Paradigms
(2)
Learning Types Β· Machine Learning
(2)
Models
(2)
Core Methods
(1)
Learning Types Β· Deep Learning
(1)
Keywords
multimodal learning
(2)
graph neural network
(2)
pathology image
(2)
domain generalization
(1)
image restoration
(1)
graph learning
(1)
domain adaptation
(1)
graph attention network
(1)
image reconstruction
(1)
ultrasound imaging
(1)
survival analysis
(1)
variational autoencoder
(1)
generative adversarial network
(1)
heterogeneous data
(1)
vision-language model
(1)
mixture of expert
(1)
medical imaging
(1)
histopathological image
(1)
gene ontology
(1)
variational inference
(1)
Papers
AcZeroTS: Active Learning for Zero-shot Tissue Segmentation in Pathology Images
ICCV 2025
COME: Dual Structure-Semantic Learning with Collaborative MoE for Universal Lesion Detection Across Heterogeneous Ultrasound Datasets
ICCV 2025
Cost-effective Active Learning for Nucleus Detection Using Crowdsourced Annotations with Dynamic Weighting Adjustment
MICCAI 2025
LTSE: Language-guided Tissue Referring Segmentation in Pathology Images with Adaptive Expert Mixture
MICCAI 2025
Multi-modal Topology-embedded Graph Learning for Spatially Resolved Genes Prediction from Pathology Images with Prior Gene Similarity Information
CVPR 2025
Robust Multimodal Survival Prediction with Conditional Latent Differentiation Variational AutoEncoder
CVPR 2025
Correlation-adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis
MICCAI 2024
OSAL-ND: Open-set Active Learning for Nucleus Detection
MICCAI 2024
Tumor Micro-environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-slide Pathological Images
CVPR 2024
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction
AAAI 2019