Hang Chang
7 papers · 2013–2026 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (17) π Conference Polyglot Β· Bronze
π
Keyword Champion
(2)
π§
Keyword Pioneer
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(6)
Computer Vision
(4)
Core Methods
(4)
Domain-Specific
(4)
Artificial Intelligence
(2)
Healthcare & Medicine
(2)
Clinical
(2)
Core AI
(2)
Learning Types
(2)
Deep Learning
(1)
Interdisciplinary
(1)
Application Areas
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Learning Paradigms
(1)
Keywords
tumor classification
(2)
histology classification
(2)
feature learning
(2)
spatial pyramid matching
(2)
image classification
(2)
knowledge distillation
(1)
multispectral imaging
(1)
medical image analysis
(1)
cross-modal representation
(1)
sparsity enforcement
(1)
biomedical imaging
(1)
spectral graph theory
(1)
convolutional sparse coding
(1)
representation alignment
(1)
whole slide image
(1)
spatial transcriptomics
(1)
geometric constraint
(1)
histopathology image
(1)
von mises-fisher distribution
(1)
novel class discovery
(1)
Papers
Gene-DML: Dual-Pathway Multi-Level Discrimination for Gene Expression Prediction from Histopathology Images
WACV 2026
Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View
ECCV 2024
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling
CVPR 2024
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation
ICCV 2023
Classification of Histology Sections via Multispectral Convolutional Sparse Coding
CVPR 2014
Classification of Tumor Histology via Morphometric Context
CVPR 2013
Stacked Predictive Sparse Coding for Classification of Distinct Regions in Tumor Histopathology
ICCV 2013