Learning semi-supervised enrichment of longitudinal imaging-genetic data for improved prediction of cognitive decline

Hoon Seo, Lodewijk Brand, Hua Wang

MIDM

Beyond the Simplex: Hadamard-Infused Deep Sparse Representations for Enhanced Similarity Measures

Xiangyu Li, Umberto Gherardi, Armand Ovanessians, Hua Wang

ICKG

Enriched Representation Learning for Longitudinal Chest X-ray Analysis: A Novel Approach for Improved Disease Detection and Localization

Xiangyu Li, Armand Ovanessians, Hua Wang

ICDM

Discovering Protein Interactions and Repurposing Drugs in SARS-CoV-2 (COVID-19) via Learning on Robust Multipartite Graphs

Xiangyu Li, Armand Ovanessians, Hua Wang

ICDM

Fast Multi-Modal Multi-Instance Support Vector Machine for Fine-grained Chest X-ray Recognition

Hoon Seo, Hua Wang

ICDM

Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations

Hoon Seo, Lodewijk Brand, Hua Wang

AAAI

Learning Semi-Supervised Representation Enrichment Using Longitudinal Imaging-Genetic Data

Hoon Seo, Lodewijk Brand, Hua Wang

BIBM

Task Balanced Multimodal Feature Selection to Predict the Progression of Alzheimer's Disease

Lodewijk Brand, Braedon O'Callaghan, Anthony Sun, Hua Wang

BIBE

Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments

Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang

AAAI

Predicting Longitudinal Outcomes of Alzheimer's Disease via a Tensor-based Joint Classification and Regression Model

Lodewijk Brand, Kai Nichols, Hua Wang, Heng Huang, Li Shen

PSB

Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer’s Disease Prediction

Lodewijk Brand, Kai Nichols, Hua Wang, Li Shen, Heng Huang, ADNI

TMI

Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer’s Disease

Lodewijk Brand, Hua Wang, Heng Huang, Shannon Risacher, Andrew Saykin, Li Shen, ADNI

MICCAI

Predicting Progressions of Cognitive Outcomes via High-Order Multi-Modal Multi-Task Feature Learning

Lyujian Lu, Hua Wang, Xiaohui Yao, Shannon Risacher, Andrew Saykin, Li Shen, for the ADNI

ISBI

Robust multimodal sequence-based loop closure detection via structured sparsity

Fei Han, Hao Zhang, Hua Wang

RSS

Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Factorization

Hua Wang, Feiping Nie, Heng Huang, Chris Ding

JCB

Multi-View Clustering and Feature Learning via Structured Sparsity

Hua Wang, Feiping Nie, Heng Huang

ICML

Heterogeneous Visual Features Fusion via Sparse Multimodal Machine

Hua Wang, Feiping Nie, Heng Huang, Chris Ding.

CVPR

Identifying Disease Sensitive and Quantitative Trait Relevant Biomarkers from Multi-Dimensional Heterogeneous Imaging Genetics Data via Sparse Multi-Modal Multi-Task Learning

Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen, ADNI

Neurobiology of Aging

Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Factorization

Hua Wang, Feiping Nie, Heng Huang, Chris Ding.

RECOMB