Daguang Xu
30 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) π Interdisciplinary Bridge π Academic Marathon (6) π Conference Polyglot (9) πΊοΈ Taxonomy Completionist (48)
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(48)
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Keyword Pioneer
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Hot Topic Early Bird
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Dynamic Duo
(19)
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Keyword Champion
(5)
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Topic Evolution
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Deep Specialist
(19)
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Mega-Team
(53)
ποΈ
Keyword Collector
(112)
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Unstoppable
(7)
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The Questioner
β‘
Prolific Year
(6)
π
Conference Pioneer
π
Century Club
(28)
Conferences
CVPR (10)
WACV (6)
ICCV (4)
MIDL (4)
AAAI (2)
ECCV (1)
ICML (1)
MICCAI (1)
NIPS (1)
Top co-authors
Keywords
medical imaging
(8)
medical image segmentation
(6)
3d segmentation
(5)
image segmentation
(4)
neural architecture search
(4)
federated learning
(3)
computed tomography
(3)
medical image synthesis
(2)
3d medical image segmentation
(2)
latent diffusion model
(2)
semi-supervised learning
(2)
image classification
(2)
medical image analysis
(2)
image generation
(2)
image reconstruction
(2)
domain generalization
(2)
semantic segmentation
(2)
few-shot learning
(1)
zero-shot learning
(1)
feature learning
(1)
Papers
MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss
AAAI 2026
MagNet: Multi-Level Attention Graph Network for Predicting High-Resolution Spatial Transcriptomics
MIDL 2025
VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
CVPR 2025
Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases
MICCAI 2025
MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs
ICCV 2025
VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge
CVPR 2025
MAISI: Medical AI for Synthetic Imaging
WACV 2025
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NIPS 2024
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
CVPR 2024
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
ICML 2024
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training
MIDL 2024
Learning Quality Labels for Robust Image Classification
WACV 2024
IR-FRestormer: Iterative Refinement With Fourier-Based Restormer for Accelerated MRI Reconstruction
WACV 2024
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples
ICCV 2023
Fair Federated Medical Image Segmentation via Client Contribution Estimation
CVPR 2023
HyperSegNAS: Bridging One-Shot Neural Architecture Search With 3D Medical Image Segmentation Using HyperNet
CVPR 2022
Auto-FedRL: Federated Hyperparameter Optimization for Multi-Institutional Medical Image Segmentation
ECCV 2022
GradViT: Gradient Inversion of Vision Transformers
CVPR 2022
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
CVPR 2022
Closing the Generalization Gap of Cross-Silo Federated Medical Image Segmentation
CVPR 2022
UNETR: Transformers for 3D Medical Image Segmentation
WACV 2022
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation
CVPR 2021
T-AutoML: Automated Machine Learning for Lesion Segmentation Using Transformers in 3D Medical Imaging
ICCV 2021
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation
CVPR 2020
NeurReg: Neural Registration and Its Application to Image Segmentation
WACV 2020
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network
MIDL 2020
When Radiology Report Generation Meets Knowledge Graph
AAAI 2020
3D semi-supervised learning with uncertainty-aware multi-view co-training
WACV 2020
An Alarm System for Segmentation Algorithm Based on Shape Model
ICCV 2019
Deep Hierarchical Multi-label Classification of Chest X-ray Images
MIDL 2019