Xiaoli Liu

4 Engineering Drive 4
Singapore, 117585, Singapore

Last Updated: 09/26/2026

Save publications for later

Sign Up

Not sure about your diagnosis?

Check Your Symptoms

Found 16 publications

TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis.

TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis.

Journal: Neuroinformatics

Published: August 14, 2021

Dual feature correlation guided multi-task learning for Alzheimer's disease prediction.

Dual feature correlation guided multi-task learning for Alzheimer's disease prediction.

Journal: Computers in biology and medicine

Published: May 27, 2021

Machine-Learning-Assisted Accurate Prediction of Molecular Optical Properties upon Aggregation.

Machine-Learning-Assisted Accurate Prediction of Molecular Optical Properties upon Aggregation.

Journal: Advanced science (Weinheim, Baden-Wurttemberg, Germany)

Published: April 13, 2021

An Intelligent Multi-View Active Learning Method Based on a Double-Branch Network.

An Intelligent Multi-View Active Learning Method Based on a Double-Branch Network.

Journal: Entropy (Basel, Switzerland)

Published: June 02, 2020

Spatiotemporal Interaction Residual Networks with Pseudo3D for Video Action Recognition.

Spatiotemporal Interaction Residual Networks with Pseudo3D for Video Action Recognition.

Journal: Sensors (Basel, Switzerland)

Published: March 27, 2020

Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer's Disease.

Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer's Disease.

Journal: Neuroinformatics

Published: October 05, 2018

Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease.

Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease.

Journal: Computer methods and programs in biomedicine

Published: September 28, 2017

Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer's Disease.

Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer's Disease.

Journal: Computational and mathematical methods in medicine

Published: August 04, 2017

Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures.

Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures.

Journal: Computers in biology and medicine

Published: July 01, 2017

Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso.

Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso.

Journal: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society

Published: October 29, 2016

A ℓ2, 1 norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD.

A ℓ2, 1 norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD.

Journal: Computer methods and programs in biomedicine

Published: May 04, 2016

[Retracted] Ubiquitin‑specific protease 4 inhibits breast cancer cell growth through the upregulation of PDCD4.

[Retracted] Ubiquitin‑specific protease 4 inhibits breast cancer cell growth through the upregulation of PDCD4.

Journal: International journal of molecular medicine

Published: October 04, 2015

Showing 1-12 of 16

Last Updated: 09/26/2026