Ruxin Wang
9 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(16)
❓
The Questioner
Top co-authors
Research topics
Artificial Intelligence
(3)
Deep Learning
(3)
Core AI
(3)
Knowledge & Reasoning
(2)
Machine Learning
(2)
Architectures
(2)
Optimization & Theory · Machine Learning
(2)
Reasoning
(2)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Clinical
(1)
Core Methods
(1)
Mathematics
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
stochastic gradient
(1)
reinforcement learning
(1)
feature learning
(1)
image restoration
(1)
causal discovery
(1)
medical image analysis
(1)
optimization
(1)
expected risk
(1)
label noise
(1)
gene expression
(1)
causal structure
(1)
bayesian framework
(1)
variance reduction
(1)
causal mechanism
(1)
vision-language model
(1)
mechanistic interpretability
(1)
moral decision-making
(1)
recursive learning
(1)
additive noise model
(1)
large reasoning model
(1)
Papers
BiomedCCPL: Causal Conditional Prompt Learning for Biomedical Vision-Language Models
CVPR 2026
Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures
ACL 2026
When Proxy Agents Disagree, Do Humans Mirror? Manipulating Human Behavior in Moral Dilemmas Through Agents
AAAI 2026
Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise
IJCAI 2025
Knowledge-Enhanced Complementary Information Fusion with Temporal Heterogeneous Graph Learning for Disease Prediction
MICCAI 2025
SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization
ICML 2025
Shuffle-Diversity Collaborative Federated Learning for Imbalanced Medical Image Analysis
MICCAI 2025
Mitigating Label Noise on Graphs via Topological Sample Selection
ICML 2024
Embedded Block Residual Network: A Recursive Restoration Model for Single-Image Super-Resolution
ICCV 2019