b'Yalin Wang'

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Featured Co-authors

Sharky.TV
222 publications
Min Zhang
196 publications
Jie Zhang
196 publications
Lajos Hanzo
115 publications
Jie Wang
107 publications
Jieping Ye
90 publications
Sébastien Ourselin
88 publications
Gang Chen
86 publications
Yiyu Shi
83 publications
Tao Yang
76 publications
Wen Zhang
75 publications

research

∙ 05/30/2023

SFCNeXt: a simple fully convolutional network for effective brain age estimation with small sample size

Deep neural networks (DNN) have been designed to predict the chronologic...

0 Yu Fu, et al. ∙

research

∙ 03/31/2023

A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry

Background: Alzheimer's Disease (AD) is the most common type of age-rela...

0 Jianfeng Wu, et al. ∙

research

∙ 02/08/2023

TetCNN: Convolutional Neural Networks on Tetrahedral Meshes

Convolutional neural networks (CNN) have been broadly studied on images,...

0 Mohammad Farazi, et al. ∙

research

∙ 02/06/2023

OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing

Non-mydriatic retinal color fundus photography (CFP) is widely available...

0 Wenhui Zhu, et al. ∙

research

∙ 02/06/2023

Optimal Transport Guided Unsupervised Learning for Enhancing low-quality Retinal Images

Real-world non-mydriatic retinal fundus photography is prone to artifact...

0 Wenhui Zhu, et al. ∙

research

∙ 10/17/2022

Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence

This paper studies 3D dense shape correspondence, a key shape analysis a...

0 Mohammad Farazi, et al. ∙

research

∙ 10/12/2022

Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation

Lesion appearance is a crucial clue for medical providers to distinguish...

0 Wenhui Zhu, et al. ∙

research

∙ 07/20/2022

Matrix Kendall's tau in High-dimensions: A Robust Statistic for Matrix Factor Model

In this article, we first propose generalized row/column matrix Kendall'...

0 Yong He, et al. ∙

research

∙ 05/10/2022

OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt

Chronological age of healthy brain is able to be predicted using deep ne...

0 Yu Fu, et al. ∙

research

∙ 04/29/2022

Distributed Learning for Principle Eigenspaces without Moment Constraints

Distributed Principal Component Analysis (PCA) has been studied to deal ...

0 Yong He, et al. ∙

research

∙ 12/31/2021

Channel Estimation for Hybrid Massive MIMO Systems with Adaptive-Resolution ADCs

Achieving high channel estimation accuracy and reducing hardware cost as...

0 Yalin Wang, et al. ∙

research

∙ 10/30/2021

Geometry-Aware Hierarchical Bayesian Learning on Manifolds

Bayesian learning with Gaussian processes demonstrates encouraging regre...

0 Yonghui Fan, et al. ∙

research

∙ 10/20/2021

Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy

Biomarker-assisted diagnosis and intervention in Alzheimer's disease (AD...

0 Jianfeng Wu, et al. ∙

research

∙ 04/01/2021

Cortical Morphometry Analysis based on Worst Transportation Theory

Biomarkers play an important role in early detection and intervention in...

0 Min Zhang, et al. ∙

research

∙ 07/19/2020

Deep Representation Learning For Multimodal Brain Networks

Applying network science approaches to investigate the functions and ana...

0 Wen Zhang, et al. ∙

research

∙ 05/25/2020

Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmuller Map in Retinotopic Mapping

The mapping between the visual input on the retina to the cortical surfa...

0 Yanshuai Tu, et al. ∙

research

∙ 02/24/2020

Variational Wasserstein Barycenters for Geometric Clustering

We propose to compute Wasserstein barycenters (WBs) by solving for Monge...

12 Liang Mi, et al. ∙

research

∙ 02/09/2020

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

We present the findings of "The Alzheimer's Disease Prediction Of Longit...

0 Razvan V. Marinescu, et al. ∙

research

∙ 03/20/2019

Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML

Lifelong learning, the problem of continual learning where tasks arrive ...

20 Jie Zhang, et al. ∙

research

∙ 03/06/2019

Graph Neural Networks for User Identity Linkage

The increasing popularity and diversity of social media sites has encour...

0 Wen Zhang, et al. ∙

research

∙ 02/03/2019

MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression

State-of-the-art deep model compression methods exploit the low-rank app...

12 Jie Zhang, et al. ∙

research

∙ 12/02/2018

Regularized Wasserstein Means Based on Variational Transportation

We raise the problem of regularizing Wasserstein means and propose sever...

0 Liang Mi, et al. ∙

research

∙ 09/08/2018

Brain Morphometry Analysis with Surface Foliation Theory

Brain morphometry study plays a fundamental role in neuroimaging researc...

0 Chengfeng Wen, et al. ∙

research

∙ 06/23/2018

Variational Wasserstein Clustering

We propose a new clustering method based on optimal transportation. We s...

0 Liang Mi, et al. ∙

research

∙ 06/04/2018

Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices

Recurrent neural networks (RNNs) achieve cutting-edge performance on a v...

2 Jie Zhang, et al. ∙

research

∙ 04/27/2017

Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression

Genome-wide association studies (GWAS) have achieved great success in th...

0 Qingyang Li, et al. ∙

research

∙ 08/19/2016

Large-scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions

Genome-wide association studies (GWAS) offer new opportunities to identi...

0 Qingyang Li, et al. ∙