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
ICDM
Adaptive Principal Component Analysis
SDM
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
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
BIBM
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 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
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
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 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
Robust multimodal sequence-based loop closure detection via structured sparsity
Fei Han, Hao Zhang, Hua Wang
RSS
New L1-Norm Relaxations and Optimizations for Graph Clustering
Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang
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
Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization
ICML
Robust Matrix Completion via Joint Schatten p-Norm and Lp-Norm Minimization
Feiping Nie, Hua Wang, Heng Huang, Chris Ding
KAIS
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
Adaptive Loss Minimization for Semi-Supervised Elastic Embedding
IJCAI
Early Active Learning via Robust Representation and Structured Sparsity
Feiping Nie, Hua Wang, Xiao Cai, Heng Huang, Chris Ding.
Unsupervised and Semi-supervised Learning via L1-norm Graph
Feiping Nie, Hua Wang, Heng Huang, Chris Ding.
Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization
Feiping Nie, Heng Huang, Chris Ding, Dijun Luo, Hua Wang
