Wenjia Bai
14 papers · 2014–2026 · 9 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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🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver
🧬
Topic Evolution
🚀
Conference Pioneer
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(7)
Computer Vision
(6)
Artificial Intelligence
(4)
Core AI
(4)
Domain-Specific
(4)
Deep Learning
(3)
Healthcare & Medicine
(3)
Clinical
(3)
Learning Types
(3)
Processing
(3)
Application Areas · Machine Learning
(2)
Core Methods
(2)
Natural Language Processing
(1)
Analysis
(1)
Application Areas · Deep Learning
(1)
Keywords
medical imaging
(3)
multimodal learning
(3)
representation learning
(2)
image segmentation
(2)
medical image segmentation
(2)
zero-shot classification
(2)
image reconstruction
(1)
visual grounding
(1)
magnetic resonance imaging
(1)
memory efficiency
(1)
vision-language model
(1)
vision-language pre-training
(1)
dense prediction
(1)
radiology report
(1)
label-efficient learning
(1)
dice score
(1)
3d convolutional neural network
(1)
large language model
(1)
patch-based method
(1)
segmentation evaluation
(1)
Papers
Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding
WACV 2026
Virtual Full-stack Scanning of Brain MRI via Imputing Any Quantised Code
CVPR 2026
CardiacFlow: 3D+t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching
MICCAI 2025
Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs
EMNLP 2025
Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction
MICCAI 2025
Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis
MICCAI 2025
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts
MICCAI 2024
BiCAL: Bi-directional Contrastive Active Learning for Clinical Report Generation
ACL 2024
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training
NeurIPS 2024
TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data
ECCV 2024
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
ICML 2024
Memory-efficient Segmentation of High-resolution Volumetric MicroCT Images
MIDL 2022
High-quality segmentation of low quality cardiac MR images using k-space artefact correction
MIDL 2019
Patch-based Evaluation of Image Segmentation
CVPR 2014