Yuan Xue
18 papers · 2018–2026 · 10 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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πΊοΈ Taxonomy Completionist (38) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Grand Slam
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(92)
Venues
Top co-authors
Research topics
Artificial Intelligence
(9)
Computer Vision
(7)
Deep Learning
(7)
Core AI
(7)
Machine Learning
(6)
Healthcare & Medicine
(5)
Clinical
(5)
Learning Types Β· Deep Learning
(4)
Analysis
(3)
Domain-Specific
(3)
Learning Types Β· Machine Learning
(3)
Processing
(3)
Mathematics & Optimization
(2)
Application Areas
(2)
Core Methods
(2)
Keywords
medical imaging
(3)
3d vision
(2)
chest x-ray
(2)
zero-shot learning
(2)
reinforcement learning
(2)
video generation
(2)
domain adaptation
(1)
attention mechanism
(1)
variational inference
(1)
self-supervised learning
(1)
video synthesis
(1)
multi-task learning
(1)
weakly supervised learning
(1)
knowledge distillation
(1)
multimodal learning
(1)
relation extraction
(1)
in-context learning
(1)
pose estimation
(1)
transformer
(1)
image classification
(1)
Papers
Dual-Domain Multimodal Hyperbolic Fusion for Cardiopulmonary Disease Diagnosis in Emergency Care
WACV 2026
Hierarchical Process Reward Models are Symbolic Vision Learners
CVPR 2026
RECoRD: A Multi-Agent LLM Framework for Reverse Engineering Codebase to Relational Diagram
AAAI 2026
Unlocking 2D Promptable Foundation Models for 3D Vessel Segmentation by Automatic Prompt Generation
MIDL 2026
Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation
MICCAI 2025
Open-World Objectness Modeling Unifies Novel Object Detection
CVPR 2025
Primitive Vision: Improving Diagram Understanding in MLLMs
ICML 2025
Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study
ICLR 2025
3D-Aware Talking-Head Video Motion Transfer
WACV 2024
Cross-Identity Video Motion Retargeting With Joint Transformation and Synthesis
WACV 2023
Learning to Optimize with Stochastic Dominance Constraints
AISTATS 2023
End-to-End Graph-Constrained Vectorized Floorplan Generation with Panoptic Refinement
ECCV 2022
Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization
ICML 2022
Neural Stochastic Dual Dynamic Programming
ICLR 2022
Learning to Select Best Forecast Tasks for Clinical Outcome Prediction
NeurIPS 2020
Neural Wireframe Renderer: Learning Wireframe to Image Translations
ECCV 2020
Shape-Aware Organ Segmentation by Predicting Signed Distance Maps
AAAI 2020
Thoracic Disease Identification and Localization With Limited Supervision
CVPR 2018