Fengtao Zhou
8 papers · 2021–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze
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Research topics
Machine Learning
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Core Methods
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Deep Learning
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Artificial Intelligence
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Core AI
(3)
Learning Types · Machine Learning
(3)
Computer Vision
(2)
Healthcare & Medicine
(2)
Application Areas
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Clinical
(2)
Domain-Specific
(2)
Learning Types · Deep Learning
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Learning Paradigms
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Keywords
multi-label classification
(2)
multiple instance learning
(2)
attention mechanism
(1)
weak supervision
(1)
cross-modal learning
(1)
feature embedding
(1)
prompt learning
(1)
convolutional neural network
(1)
multimodal fusion
(1)
medical image classification
(1)
semantic representation
(1)
survival analysis
(1)
classification accuracy
(1)
label embedding
(1)
knowledge distillation
(1)
semantic embedding
(1)
foundation model
(1)
multimodal representation
(1)
transformer architecture
(1)
dictionary learning
(1)
Papers
Distilled Prompt Learning for Incomplete Multimodal Survival Prediction
CVPR 2025
Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts
ECCV 2024
Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
CVPR 2024
Post-hoc Part-Prototype Networks
ICML 2024
Cross-Modal Translation and Alignment for Survival Analysis
ICCV 2023
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification
ICCV 2023
Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation
IJCAI 2022
Deep Semantic Dictionary Learning for Multi-label Image Classification
AAAI 2021