Yonghong He
6 papers · 2023–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(17)
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Deep Learning
(4)
Healthcare & Medicine
(4)
Machine Learning
(4)
Clinical
(4)
Learning Types · Machine Learning
(3)
Computer Vision
(2)
Application Areas
(2)
Architectures
(2)
Core Methods
(2)
Domain-Specific
(2)
Artificial Intelligence
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
multiple instance learning
(3)
computational pathology
(2)
whole slide image
(2)
vision transformer
(2)
attention mechanism
(1)
graph representation learning
(1)
knowledge distillation
(1)
graph representation
(1)
medical image classification
(1)
knowledge graph
(1)
foundation model
(1)
survival prediction
(1)
graph neural network
(1)
network quantization
(1)
texture feature
(1)
whole slide imaging
(1)
zero-shot quantization
(1)
histopathology analysis
(1)
filtering network
(1)
histopathological slide classification
(1)
Papers
StainNet: Scaling Self-Supervised Foundation Models on Immunohistochemistry and Special Stains for Computational Pathology
MIDL 2026
Turning Pre-Trained Vision Transformers into End-to-End Histopathology Whole Slide Image Models for Survival Prediction
CVPR 2026
Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis
CVPR 2024
NcIEMIL: Rethinking Decoupled Multiple Instance Learning Framework for Histopathological Slide Classification
MIDL 2024
RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification
MICCAI 2024
TexQ: Zero-shot Network Quantization with Texture Feature Distribution Calibration
NeurIPS 2023