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

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

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

ICDM

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

Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments

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

AAAI

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

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

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

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

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

Hua Wang, Feiping Nie, Heng Huang

AAAI

Emotion Detection via Discriminant Laplacian Embedding

Hua Wang, Heng Huang, Fillia Makedon

Universal Access in the Information Society

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

Adaptive Loss Minimization for Semi-Supervised Elastic Embedding

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

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

Maximum Margin Multi-Instance Learning

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

NIPS

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

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

Hua Wang, Heng Huang, Chris Ding.

CVPR

Image Categorization Using Directed Graphs

Hua Wang, Heng Huang, Chris Ding

ECCV

Multi-Label Feature Transform for Image Classification

Hua Wang, Heng Huang, Chris Ding

ECCV

Image Annotation Using Multi-label Correlated Green's Function

Hua Wang, Heng Huang, Chris Ding.

ICCV