Learning semi-supervised enrichment of longitudinal imaging-genetic data for improved prediction of cognitive decline
Hoon Seo, Lodewijk Brand, Hua Wang
MIDM
Task Balanced Multimodal Feature Selection to Predict the Progression of Alzheimer's Disease
Lodewijk Brand, Braedon O'Callaghan, Anthony Sun, Hua Wang
BIBE
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
Learning Robust Multi-Label Sample Specific Distances for Identifying HIV-1 Drug Resistance
Lodewijk Brand, Xue Yang, Kai Liu, Saad Elbeleidy, Hua Wang, Hao Zhang
RECOMB
Sequence-Based Sparse Optimization Methods for Long-Term Loop Closure Detection in Visual SLAM
Fei Han, Hua Wang, Guoquan Huan, Hao Zhang
Autonomous Robots
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
Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking
Xue Yang, Fei Han, Hua Wang, Hao Zhang
IJCAI
Cortical surface biomarkers for predicting cognitive outcomes using group L2,1 norm
Jingwen Yan, Taiyong Li, Hua Wang, Heng Huang, Jing Wan, Kwangsik Nho, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen, ADNI
Neurobiology of Aging
Semi-Supervised Robust Dictionary Learning via Efficient L2,0+-Norms Minimization
Hua Wang, Feiping Nie, Weidong Cai, Heng Huang
ICCV
Multi-View Clustering and Feature Learning via Structured Sparsity
Hua Wang, Feiping Nie, Heng Huang
ICML
Early Active Learning via Robust Representation and Structured Sparsity
Feiping Nie, Hua Wang, Heng Huang, Chris Ding
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine
Hua Wang, Feiping Nie, Heng Huang, Chris Ding.
CVPR
Self-taught learning via exponential family sparse coding for cost-effective patient thought record categorization
Hua Wang, Heng Huang, Monica Basco, Molly Lopez, Fillia Makedon
Personal and Ubiquitous Computing
Phenotype to Genotype: An Association Study of Candidate Phenotypic Markers to Alzheimer's Disease Relevant SNPs
Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon Risacher, Andrew Saykin, Li Shen, ADNI
Bioinformatics
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
Identifying Quantitative Trait Loci via Group-Sparse Multi-Task Regression and Feature Selection: An Imaging Genetics Study of the ADNI Cohort
Hua Wang, Feiping Nie, Heng Huang, Sungeun Kim, Kwangsik Nho, Shannon Risacher, Andrew J Saykin, Li Shen, ADNI
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer Disease Progression Prediction
Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon Risacher, Andrew Saykin, Li Shen.
NIPS
Sparse Multi-Task Regression and Feature Selection to Identify Brain Imaging Predictors for Memory Performance
Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris Ding, Andrew J. Saykin, Li Shen, ADNI.
Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression
Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen, ADNI.
