Hai Shu
5 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (24) π£ Hot Topic Early Bird
π
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory
(4)
Deep Learning
(3)
Artificial Intelligence
(2)
Core AI
(2)
Core Methods
(2)
Learning Types
(2)
Models
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Clinical
(1)
Keywords
mutual information
(2)
conditional independence testing
(2)
image segmentation
(1)
adversarial robustness
(1)
false discovery rate
(1)
deep learning
(1)
nearest neighbor
(1)
hypothesis testing
(1)
statistical testing
(1)
perturbation analysis
(1)
sensitivity analysis
(1)
low-rank matrix
(1)
conditional independence
(1)
conditional mutual information
(1)
information geometry
(1)
generative model
(1)
high-dimensional data
(1)
deep neural network
(1)
adversarial perturbation
(1)
multiple testing
(1)
Papers
Conditional Diffusion Models Based Conditional Independence Testing
AAAI 2025
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data
AISTATS 2024
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing
NeurIPS 2023
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data
JMLR 2022
Sensitivity Analysis of Deep Neural Networks
AAAI 2019