Hai Shu
5 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (6)
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(25)
π
Conference Pioneer
Conferences
AAAI (2)
AISTATS (1)
JMLR (1)
NIPS (1)
Top co-authors
Research topics
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 datum
(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
NIPS 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