Yuan Xue
17 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(8)
🧭
Keyword Pioneer
🏆
Grand Slam
🧬
Topic Evolution
🗃️
Keyword Collector
(67)
💎
Century Club
(15)
🔥
Unstoppable
(5)
Conferences
WACV (3)
AAAI (2)
CVPR (2)
ECCV (2)
ICLR (2)
ICML (2)
AISTATS (1)
MICCAI (1)
MIDL (1)
NIPS (1)
Top co-authors
Keywords
medical imaging
(3)
3d vision
(2)
video generation
(2)
zero-shot learning
(2)
chest x-ray
(2)
domain adaptation
(1)
variational inference
(1)
reinforcement learning
(1)
self-supervised learning
(1)
video synthesis
(1)
multi-task learning
(1)
attention mechanism
(1)
weakly supervised learning
(1)
knowledge distillation
(1)
stochastic dominance
(1)
multimodal learning
(1)
relation extraction
(1)
pose estimation
(1)
constrained optimization
(1)
image classification
(1)
Papers
Dual-Domain Multimodal Hyperbolic Fusion for Cardiopulmonary Disease Diagnosis in Emergency Care
WACV 2026
Unlocking 2D Promptable Foundation Models for 3D Vessel Segmentation by Automatic Prompt Generation
MIDL 2026
RECoRD: A Multi-Agent LLM Framework for Reverse Engineering Codebase to Relational Diagram
AAAI 2026
Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study
ICLR 2025
Open-World Objectness Modeling Unifies Novel Object Detection
CVPR 2025
Primitive Vision: Improving Diagram Understanding in MLLMs
ICML 2025
Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation
MICCAI 2025
3D-Aware Talking-Head Video Motion Transfer
WACV 2024
Learning to Optimize with Stochastic Dominance Constraints
AISTATS 2023
Cross-Identity Video Motion Retargeting With Joint Transformation and Synthesis
WACV 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
NIPS 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