Wenxuan Li
9 papers · 2023–2026 · 8 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (21) π Conference Polyglot Β· Silver π Keyword Champion
π₯
Mega-Team Β· Legion
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The Questioner
(2)
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(5)
Deep Learning
(4)
Artificial Intelligence
(3)
Computer Vision
(3)
Application Areas
(3)
Learning Types
(3)
Healthcare & Medicine
(2)
Clinical
(2)
Core AI
(2)
Domain-Specific
(2)
Techniques
(2)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Analysis
(1)
Applications
(1)
Keywords
medical imaging
(3)
computed tomography
(3)
tumor segmentation
(2)
adversarial robustness
(1)
domain generalization
(1)
transfer learning
(1)
point cloud
(1)
3d vision
(1)
gaussian splatting
(1)
medical image segmentation
(1)
out-of-distribution generalization
(1)
model-based reinforcement learning
(1)
adversarial defense
(1)
neural collapse
(1)
physics-informed learning
(1)
synthetic data
(1)
robustness certification
(1)
3d segmentation
(1)
vision-language model
(1)
world model
(1)
Papers
3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition
AAAI 2026
Learning Segmentation from Radiology Reports
MICCAI 2025
PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation
RSS 2025
RadGPT: Constructing 3D Image-Text Tumor Datasets
ICCV 2025
Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data
ICCV 2025
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties
ECCV 2024
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
ICLR 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NeurIPS 2024
CAP: Robust Point Cloud Classification via Semantic and Structural Modeling
CVPR 2023