Xingjian Zhen
7 papers · 2018–2022 · 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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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(19)
🐣
Hot Topic Early Bird
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Deep Learning
(6)
Computer Vision
(4)
Machine Learning
(4)
Architectures
(4)
Core Methods
(3)
Domain-Specific
(3)
Healthcare & Medicine
(2)
Clinical
(2)
Artificial Intelligence
(1)
Core AI
(1)
Generation
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
medical imaging
(2)
manifold learning
(2)
brain imaging
(2)
multimodal learning
(1)
robust classification
(1)
image reconstruction
(1)
adversarial training
(1)
geometric deep learning
(1)
monte carlo sampling
(1)
frechet mean
(1)
riemannian geometry
(1)
riemannian manifold
(1)
convolutional neural network
(1)
long short-term memory
(1)
recurrent neural network
(1)
symmetric positive definite matrix
(1)
computed tomography
(1)
graph convolutional network
(1)
covariance propagation
(1)
explainable artificial intelligence
(1)
Papers
On the Versatile Uses of Partial Distance Correlation in Deep Learning
ECCV 2022
A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations
NAACL 2021
Flow-based Generative Models for Learning Manifold to Manifold Mappings
AAAI 2021
Simpler Certified Radius Maximization by Propagating Covariances
CVPR 2021
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries
CVPR 2020
Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data
ICCV 2019
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices
NeurIPS 2018