Ruixuan Wang
18 papers · 2013–2026 · 6 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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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Half π£ Hot Topic Early Bird
π
Renaissance Researcher
(5)
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(58)
Top co-authors
Research topics
Machine Learning
(10)
Computer Vision
(7)
Learning Types Β· Machine Learning
(7)
Application Areas
(5)
Core Methods
(5)
Artificial Intelligence
(4)
Deep Learning
(3)
Learning Types Β· Deep Learning
(3)
Processing
(3)
Analysis
(2)
Core AI
(2)
Learning Paradigms
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Keywords
out-of-distribution detection
(5)
vision-language model
(3)
feature learning
(2)
convolutional neural network
(2)
prompt learning
(2)
anomaly detection
(2)
test-time adaptation
(2)
scoring function
(2)
few-shot learning
(2)
principal component analysis
(1)
feature extraction
(1)
continual learning
(1)
image restoration
(1)
self-supervised learning
(1)
domain adaptation
(1)
semantic segmentation
(1)
cross-domain learning
(1)
transfer learning
(1)
class-incremental learning
(1)
attention mechanism
(1)
Papers
Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models
AAAI 2026
DCAC: Dynamic Class-Aware Cache Creates Stronger Out-of-Distribution Detectors
AAAI 2026
Decoupling Continual Semantic Segmentation
AAAI 2026
Drs.NAS: Ultra-Efficient Neural Architecture Search for Recommendation Systems
OSDI 2026
TTL: Test-time Textual Learning for OOD Detection with Pretrained Vision-Language Models
CVPR 2026
Conditional Visual Autoregressive Modeling for Pathological Image Restoration
ICCV 2025
FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection
ICCV 2025
Global and Local Vision-Language Alignment for Few-Shot Learning and Few-Shot OOD Detection
MICCAI 2025
Hierarchical Vision-Language Learning for Medical Out-of-Distribution Detection
MICCAI 2025
Unsupervised Quality Control and Enhancement of Polyp Segmentation in Colonoscopy Videos using Spatiotemporal Consistency
MICCAI 2025
Deep Model Reference: Simple yet Effective Confidence Estimation for Image Classification
MICCAI 2024
Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection
AAAI 2024
FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging
AAAI 2024
SiFT: A Serial Framework with Textual Guidance for Federated Learning
MICCAI 2024
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection
AAAI 2024
Revisit PCA-based Technique for Out-of-Distribution Detection
ICCV 2023
CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data
MIDL 2019
Single-Patch Low-Rank Prior for Non-pointwise Impulse Noise Removal
ICCV 2013