Robust Spherical Laplacian Embedding

Xiangyu Li, Hunter Belcher, Hua Wang

TNNLS

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

Hoon Seo, Lodewijk Brand, Hua Wang

MIDM

On Mean-Optimal Robust Linear Discriminant Analysis

Xiangyu Li, Hua Wang

TKDD

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

Toward Robust Discriminative Projections Learning Against Adversarial Patch Attacks

Zheng Wang, Feiping Nie, Hua Wang, Heng Huang, Fei Wang

TNNLS

A Linear Primal–Dual Multi-Instance SVM for Big Data Classifications

Lodewijk Brand, Hoon Seo, Lauren Zoe Baker, Carla Ellefsen, Jackson Sargent, Hua Wang

KAIS

Scaling Multi-Instance Support Vector Machine to Breast Cancer Detection on the BreaKHis Dataset

Hoon Seo, Lodewijk Brand, Lucia Saldana Barco, Hua Wang

Bioinformatics - ISMB

On Mean-Optimal Robust Linear Discriminant Analysis

Xiangyu Li, Hua Wang

ICDM

Scalable Multi-Instance Multi-Shape Support Vector Machine for Whole Slide Breast Histopathology

Hoon Seo, Lodewijk Brand, Lucia Saldana Barco, Hua Wang

ICKG

Adaptive Principal Component Analysis

Xiangyu Li, Hua Wang

SDM

Learning Deeply Enriched Representations of Longitudinal Imaging-Genetic Data to Predict Alzheimer's Disease Progression

Hoon Seo, Hua Wang

BIBM

Real-time recognition of team behaviors by multisensory graph-embedded robot learning

Brian Reily, Peng Gao, Fei Han, Hua Wang, Hao Zhang

IJPR

A Linear Primal-Dual Multi-Instance SVM for Big Data Classifications

Lodewijk Brand, Lauren Zoe Baker, Carla Ellefsen, Jackson Sargent, Hua Wang

ICDM

A Multi-Instance Support Vector Machine with Incomplete Data for Clinical Outcome Prediction of COVID-19

Lodewijk Brand, Lauren Zoe Baker, Hua Wang

BCB

Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions

Lyujian Lu, Saad Elbeleidy, Lauren Baker, Hua Wang, Li Shen, Huang Heng

TBME

Factor Bounded Nonnegative Matrix Factorization

Kai Liu, Xiangyu Li, Zhihui Zhu, Lodewijk Brand, Hua Wang

TKDD

Robust Real-Time Group Activity Recognition of Robot Teams

Lyujian Lu, Hua Wang, Brian Reily, Hao Zhang

RA-L

Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers

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

TMI

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

Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers

Lyujian Lu, Hua Wang, Saad Elbeleidy, Feiping Nie

CVPR

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, Feiping Nie

JCB

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

Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions

Lyujian Lu, Saad Elbeleidy, Lauren Baker, Hua Wang, Heng Huang, Li Shen

MICCAI

Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L2,1-Norm Distances

Kai Liu, Lodewijk Brand, Hua Wang, Feiping Nie

IJCAI

Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method

Haoxuan Yang, Kai Liu, Hua Wang, Feiping Nie

IJCAI

Spherical Principal Component Analysis

Kai Liu, Qiuwei Li, Hua Wang, Gongguo Tang

SDM

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

Visual Place Recognition via Robust L2-Norm Distance Based Holism and Landmark Integration

Kai Liu, Hua Wang, Fei Han, Hao Zhang

AAAI

Learning of Holism-Landmark Graph Embedding for Place Recognition in Long-Term Autonomy

Fei Han, Saad El Beleidy, Hua Wang, Cang Ye, Hao Zhang

RA-L

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

Multiple Incomplete Views Clustering via Non-Negative Matrix Factorization with Its Application in Alzheimer's Disease Analysis

Kai Liu, Hua Wang, Shannon Risacher, Andrew Saykin, Li Shen, for the ADNI

ISBI

High-Order Co-Clustering via Strictly Orthogonal and Symmetric L1-Norm Nonnegative Matrix Tri-Factorization

Kai Liu, Hua Wang

IJCAI

Learning Multi-Instance Enriched Image Representation via Non-Greedy Ratio Maximization of the L1-Norm Distance

Kai Liu, Hua Wang, Feiping Nie, Hao Zhang

CVPR

Learning Integrated Holism-Landmark Representations for Long-Term Loop Closure Detection

Fei Han, Hua Wang, Hao Zhang

AAAI

From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis

Hua Wang, Heng Huang, Chris Ding

TCBB

Semi-Supervised Classifications via Elastic and Robust Embedding

Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang

AAAI

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

Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning

Hua Wang, Cheng Deng, Hao Zhang, Xinbo Gao, Heng Huang

AAAI

New L1-Norm Relaxations and Optimizations for Graph Clustering

Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang

AAAI

Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Tri-Factorization

Hua Wang, Feiping Nie, Heng Huang

TKDD

Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency

Hua Wang, Heng Huang, Chris Ding.

JCB

Robust Multi-Relational Clustering via L1-Norm Symmetric Nonnegative Matrix Factorization

Kai Liu, Hua Wang

ACL

Learning Robust Locality Preserving Projection via p-Order Minimization

Hua Wang, Feiping Nie, Heng Huang

AAAI

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

Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization

Hua Wang, Feiping Nie, Heng Huang

ICML

Video Recovery via Low-Rank Tensor Completion with Spatio-Temporal Consistency

Hua Wang, Feiping Nie, Heng Huang

AAAI

Globally and Locally Consistent Unsupervised Projection

Hua Wang, Feiping Nie, Heng Huang

AAAI

Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency

Hua Wang, Heng Huang, Chris Ding

RECOMB

Learning High-Dimensional Correspondence via Manifold Learning and Local Approximation

Chenping Hou, Feiping Nie, Hua Wang, Dongyun Yi, Changshui Zhang

Neural Computing and Applications

Emotion Detection via Discriminant Laplacian Embedding

Hua Wang, Heng Huang, Fillia Makedon

Universal Access in the Information Society

Robust Matrix Completion via Joint Schatten p-Norm and Lp-Norm Minimization

Feiping Nie, Hua Wang, Heng Huang, Chris Ding

KAIS

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

Hua Wang, Feiping Nie, Heng Huang, Chris Ding

JCB

Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks

Hua Wang, Heng Huang, Chris Ding

JCB

Semi-Supervised Robust Dictionary Learning via Efficient L2,0+-Norms Minimization

Hua Wang, Feiping Nie, Weidong Cai, Heng Huang

ICCV

Robust and Discriminative Self-Taught Learning

Hua Wang, Feiping Nie, Heng Huang

ICML

Multi-View Clustering and Feature Learning via Structured Sparsity

Hua Wang, Feiping Nie, Heng Huang

ICML

Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations

Hua Wang, Heng Huang, Chris Ding

IJCAI

Adaptive Loss Minimization for Semi-Supervised Elastic Embedding

Feiping Nie, Hua Wang, Heng Huang, Chris Ding

IJCAI

Early Active Learning via Robust Representation and Structured Sparsity

Feiping Nie, Hua Wang, Heng Huang, Chris Ding

IJCAI

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

Neurobiology of Aging

Joint Stage Recognition and Anatomical Annotation of Drosophila Gene Expression Patterns

Xiao Cai, Hua Wang, Heng Huang, Chris Ding.

Bioinformatics

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

Bioinformatics

Robust Matrix Completion via Joint Schatten p-Norm and Lp-Norm Minimization

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

ICDM

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

Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph

Xiao Cai, Hua Wang, Heng Huang, Chris Ding.

ECCV

Robust and Discriminative Distance for Multi-Instance Learning

Hua Wang, Feiping Nie, Heng Huang.

CVPR

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

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

RECOMB

Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks

Hua Wang, Heng Huang, Chris Ding.

RECOMB

Nonnegative Matrix Tri-Factorization Based High-Order Co-Clustering and Its Fast Implementation

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

ICDM

Maximum Margin Multi-Instance Learning

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

NIPS

Simultaneous Clustering of Multi-Type Relational Data via Symmetric Nonnegative Matrix Tri-factorization

Hua Wang, Heng Huang, Chris Ding.

CIKM

Learning Frame Relevance for Video Classification

Hua Wang, Feiping Nie, Heng Huang, Yi Yang.

ACM MM

Dyadic Transfer Learning for Cross-Domain Image Classification

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

ICCV

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.

ICCV

Unsupervised and Semi-supervised Learning via L1-norm Graph

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

ICCV

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.

MICCAI

Cross-Language Web Page Classification via Dual Knowledge Transfer Using Nonnegative Matrix Tri-Factorization

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

SIGIR

Learning Instance Specific Distance for Multi-Instance Classifications

Hua Wang, Feiping Nie, Heng Huang.

AAAI

Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering

Hua Wang, Feiping Nie, Heng Huang, Fillia Makedon.

IJCAI

Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization

Feiping Nie, Heng Huang, Chris Ding, Dijun Luo, Hua Wang

IJCAI

Image Annotation Using Bi-Relational Graph of Images and Semantic Labels

Hua Wang, Heng Huang, Chris Ding.

CVPR

Directed Graph Learning via High-Order Co-linkage Analysis

Hua Wang, Heng Huang, Chris Ding.

ECML-PKDD

Image Categorization Using Directed Graphs

Hua Wang, Heng Huang, Chris Ding

ECCV

Multi-Label Linear Discriminant Analysis

Hua Wang, Chris Ding, Heng Huang

ECCV

Multi-Label Feature Transform for Image Classification

Hua Wang, Heng Huang, Chris Ding

ECCV

Discriminant Laplacian Embedding

Hua Wang, Heng Huang, Chris Ding

AAAI

Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor

Hua Wang, Chris Ding, Heng Huang.

AAAI

Image Annotation Using Multi-label Correlated Green's Function

Hua Wang, Heng Huang, Chris Ding.

ICCV