Robust Spherical Laplacian Embedding
Xiangyu Li, Hunter Belcher, Hua Wang
TNNLS
On Mean-Optimal Robust Linear Discriminant Analysis
Xiangyu Li, Hua Wang
TKDD
Toward Robust Discriminative Projections Learning Against Adversarial Patch Attacks
Zheng Wang, Feiping Nie, Hua Wang, Heng Huang, Fei Wang
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
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
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
Task Balanced Multimodal Feature Selection to Predict the Progression of Alzheimer's Disease
Lodewijk Brand, Braedon O'Callaghan, Anthony Sun, Hua Wang
BIBE
Lyujian Lu, Hua Wang, Saad Elbeleidy, Feiping Nie
CVPR
Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments
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
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
Learning of Holism-Landmark Graph Embedding for Place Recognition in Long-Term Autonomy
Fei Han, Saad El Beleidy, Hua Wang, Cang Ye, Hao Zhang
Learning Multi-Instance Enriched Image Representation via Non-Greedy Ratio Maximization of the L1-Norm Distance
Kai Liu, Hua Wang, Feiping Nie, Hao Zhang
Learning Integrated Holism-Landmark Representations for Long-Term Loop Closure Detection
Fei Han, Hua Wang, Hao Zhang
Semi-Supervised Classifications via Elastic and Robust Embedding
Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang
Learning Robust Locality Preserving Projection via p-Order Minimization
Hua Wang, Feiping Nie, Heng Huang
Globally and Locally Consistent Unsupervised Projection
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
Adaptive Loss Minimization for Semi-Supervised Elastic Embedding
Feiping Nie, Hua Wang, Heng Huang, Chris Ding
Unsupervised and Semi-supervised Learning via L1-norm Graph
Feiping Nie, Hua Wang, Heng Huang, Chris Ding.
ICCV
Multi-Label Feature Transform for Image Classification
Hua Wang, Heng Huang, Chris Ding
ECCV
Discriminant Laplacian Embedding
