Chongyu Qu
7 papers · 2023–2026 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Deep Learning
(5)
Healthcare & Medicine
(4)
Clinical
(4)
Computer Vision
(3)
Architectures
(2)
Domain-Specific
(2)
Learning Types · Deep Learning
(2)
Processing
(2)
Artificial Intelligence
(1)
Interdisciplinary
(1)
Machine Learning
(1)
Core AI
(1)
Learning Types · Machine Learning
(1)
Models
(1)
Science
(1)
Keywords
medical imaging
(2)
reinforcement learning
(2)
spatial transcriptomics
(2)
3d vision
(1)
image reconstruction
(1)
medical image analysis
(1)
variational autoencoder
(1)
graph attention network
(1)
proximal policy optimization
(1)
multimodal fusion
(1)
computed tomography
(1)
metal artifact reduction
(1)
digital pathology
(1)
annotation efficiency
(1)
multi-organ segmentation
(1)
graph neural network
(1)
conditional diffusion model
(1)
gene expression prediction
(1)
adaptive modality selection
(1)
feature editing
(1)
Papers
AdaFuse: Adaptive Multimodal Fusion for Lung Cancer Risk Prediction via Reinforcement Learning
MIDL 2026
Explainable Pathomics Feature Visualization via Correlation-aware Conditional Feature Editing
MIDL 2026
MASC: Metal-Aware Sampling and Correction via Reinforcement Learning for Accelerated MRI
MIDL 2026
SCR$^2$-ST: Combine Single Cell with Spatial Transcriptomics for Efficient Active Sampling via Reinforcement Learning
MIDL 2026
ASIGN: An Anatomy-aware Spatial Imputation Graphic Network for 3D Spatial Transcriptomics
CVPR 2025
MagNet: Multi-Level Attention Graph Network for Predicting High-Resolution Spatial Transcriptomics
MIDL 2025
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
NeurIPS 2023