Image annotation using multi-label correlated Green's function. - Hua Wang 007; Heng Huang; Chris H. Q. Ding (ICCV, 2009)

Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor. - Hua Wang 007; Chris H. Q. Ding; Heng Huang (AAAI, 2010)

Discriminant Laplacian Embedding. - Hua Wang 007; Heng Huang; Chris H. Q. Ding (AAAI, 2010)

Multi-label Linear Discriminant Analysis. - Hua Wang 007; Chris H. Q. Ding; Heng Huang (ECCV (6), 2010)

Image Categorization Using Directed Graphs. - Hua Wang 007; Heng Huang; Chris H. Q. Ding (ECCV (3), 2010)

Multi-label Feature Transform for Image Classifications. - Hua Wang 007; Heng Huang; Chris H. Q. Ding (ECCV (4), 2010)

Emotion detection via discriminative kernel method. - Hua Wang 007; Heng Huang; Yanzi Hu; Mindi Anderson; Pamela R. Rollins; Fillia Makedon (PETRA, 2010)

Directed Graph Learning via High-Order Co-linkage Analysis. - Hua Wang 007; Chris H. Q. Ding; Heng Huang (ECML/PKDD (3), 2010)

Learning Instance Specific Distance for Multi-Instance Classification. - Hua Wang 007; Feiping Nie 001; Heng Huang (AAAI, 2011)

Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization. - Hua Wang 007; Heng Huang; Chris H. Q. Ding (CIKM, 2011)

Image annotation using bi-relational graph of images and semantic labels. - Hua Wang 007; Heng Huang; Chris H. Q. Ding (CVPR, 2011)

Unsupervised and semi-supervised learning via ℓ1-norm graph. - Feiping Nie 001; Hua Wang 007; Heng Huang; Chris H. Q. Ding (ICCV, 2011)

Dyadic transfer learning for cross-domain image classification. - Hua Wang 007; Feiping Nie 001; Heng Huang; Chris H. Q. Ding (ICCV, 2011)

Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance. - Hua Wang 007; Feiping Nie 001; Heng Huang; Shannon L. Risacher; Chris H. Q. Ding; Andrew J. Saykin; Li Shen 001 (ICCV, 2011)

Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation. - Hua Wang 007; Feiping Nie 001; Heng Huang; Chris H. Q. Ding (ICDM, 2011)

Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization. - Feiping Nie 001; Heng Huang; Chris H. Q. Ding; Dijun Luo; Hua Wang 007 (IJCAI, 2011)

Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering. - Hua Wang 007; Feiping Nie 001; Heng Huang; Fillia Makedon (IJCAI, 2011)

Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression. - Hua Wang 007; Feiping Nie 001; Heng Huang; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (MICCAI (3), 2011)

Learning frame relevance for video classification. - Hua Wang 007; Feiping Nie 001; Heng Huang; Yi Yang 001 (ACM Multimedia, 2011)

Maximum Margin Multi-Instance Learning. - Hua Wang 007; Heng Huang; Farhad Kamangar; Feiping Nie 001; Chris H. Q. Ding (NIPS, 2011)

Cost effective depression patient thought record categorization via self-taught learning. - Hua Wang 007; Heng Huang; Monica Basco; Molly Lopez; Fillia Makedon (PETRA, 2011)

Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization. - Hua Wang 007; Heng Huang; Feiping Nie 001; Chris H. Q. Ding (SIGIR, 2011)

Robust and discriminative distance for Multi-Instance Learning. - Hua Wang 007; Feiping Nie 001; Heng Huang (CVPR, 2012)

Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph. - Xiao Cai; Hua Wang 007; Heng Huang; Chris H. Q. Ding (ECCV (6), 2012)

Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization. - Feiping Nie 001; Hua Wang 007; Xiao Cai; Heng Huang; Chris H. Q. Ding (ICDM, 2012)

Simultaneous Image Annotation and Geo-Tag Prediction via Correlation Guided Multi-task Learning. - Hua Wang 007; Dhiraj Joshi; Jiebo Luo 001; Heng Huang; Minwoo Park (ISM, 2012)

Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning. - Jingwen Yan; Shannon L. Risacher; Sungeun Kim; Jacqueline C. Simon; Taiyong Li; Jing Wan; Hua Wang 007; Heng Huang; Andrew J. Saykin; Li Shen 001 (MBIA, 2012)

High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction. - Hua Wang 007; Feiping Nie 001; Heng Huang; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (NIPS, 2012)

Joint stage recognition and anatomical annotation of drosophila gene expression patterns. - Xiao Cai; Hua Wang 007; Heng Huang; Chris H. Q. Ding (Bioinform., 2012)

Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort. - Hua Wang 007; Feiping Nie 001; Heng Huang; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (Bioinform., 2012)

Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning. - Hua Wang 007; Feiping Nie 001; Heng Huang; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (Bioinform., 2012)

From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs. - Hua Wang 007; Feiping Nie 001; Heng Huang; Jingwen Yan; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (Bioinform., 2012)

Heterogeneous Visual Features Fusion via Sparse Multimodal Machine. - Hua Wang 007; Feiping Nie 001; Heng Huang; Chris H. Q. Ding (CVPR, 2013)

Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization. - Hua Wang 007; Feiping Nie 001; Weidong Cai 001; Heng Huang (ICCV, 2013)

Robust and Discriminative Self-Taught Learning. - Hua Wang 007; Feiping Nie 001; Heng Huang (ICML (3), 2013)

Multi-View Clustering and Feature Learning via Structured Sparsity. - Hua Wang 007; Feiping Nie 001; Heng Huang (ICML (3), 2013)

Adaptive Loss Minimization for Semi-Supervised Elastic Embedding. - Feiping Nie 001; Hua Wang 007; Heng Huang; Chris H. Q. Ding (IJCAI, 2013)

Early Active Learning via Robust Representation and Structured Sparsity. - Feiping Nie 001; Hua Wang 007; Heng Huang; Chris H. Q. Ding (IJCAI, 2013)

Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations. - Hua Wang 007; Heng Huang; Chris H. Q. Ding (IJCAI, 2013)

Function-Function Correlated Multi-label Protein Function Prediction over Interaction Networks. - Hua Wang 007; Heng Huang; Chris H. Q. Ding (J. Comput. Biol., 2013)

Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. - Hua Wang 007; Heng Huang; Chris H. Q. Ding; Feiping Nie 001 (J. Comput. Biol., 2013)

Globally and Locally Consistent Unsupervised Projection. - Hua Wang 007; Feiping Nie 001; Heng Huang (AAAI, 2014)

Low-Rank Tensor Completion with Spatio-Temporal Consistency. - Hua Wang 007; Feiping Nie 001; Heng Huang (AAAI, 2014)

Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization. - Hua Wang 007; Feiping Nie 001; Heng Huang (ICML, 2014)

Learning high-dimensional correspondence via manifold learning and local approximation. - Chenping Hou; Feiping Nie 001; Hua Wang 007; Dongyun Yi; Changshui Zhang (Neural Comput. Appl., 2014)

Self-taught learning via exponential family sparse coding for cost-effective patient thought record categorization. - Hua Wang 007; Heng Huang; Monica Basco; Molly Lopez; Fillia Makedon (Pers. Ubiquitous Comput., 2014)

Emotion Detection via Discriminant Laplacian Embedding. - Hua Wang 007; Heng Huang; Fillia Makedon (Univers. Access Inf. Soc., 2014)

Learning Robust Locality Preserving Projection via p-Order Minimization. - Hua Wang 007; Feiping Nie 001; Heng Huang (AAAI, 2015)

Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency. - Hua Wang 007; Heng Huang; Chris H. Q. Ding (J. Comput. Biol., 2015)

Joint Schatten p-norm and ℓp-norm robust matrix completion for missing value recovery. - Feiping Nie 001; Hua Wang 007; Heng Huang; Chris H. Q. Ding (Knowl. Inf. Syst., 2015)

Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Trifactorization. - Hua Wang 007; Feiping Nie 001; Heng Huang (ACM Trans. Knowl. Discov. Data, 2015)

New l1-Norm Relaxations and Optimizations for Graph Clustering. - Feiping Nie 001; Hua Wang 007; Cheng Deng; Xinbo Gao 001; Xuelong Li 001; Heng Huang (AAAI, 2016)

Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning. - Hua Wang 007; Cheng Deng; Hao Zhang 011; Xinbo Gao 001; Heng Huang (AAAI, 2016)

Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking. - Xue Yang; Fei Han 002; Hua Wang 007; Hao Zhang 011 (IJCAI, 2016)

Robust Multimodal Sequence-Based Loop Closure Detection via Structured Sparsity. - Hao Zhang 011; Fei Han 002; Hua Wang 007 (Robotics: Science and Systems, 2016)

Semi-Supervised Classifications via Elastic and Robust Embedding. - Yun Liu 021; Yiming Guo; Hua Wang 007; Feiping Nie 001; Heng Huang (AAAI, 2017)

From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis. - Hua Wang 007; Lin Yan 003; Heng Huang; Chris H. Q. Ding (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Learning Integrated Holism-Landmark Representations for Long-Term Loop Closure Detection. - Fei Han 002; Hua Wang 007; Hao Zhang 011 (AAAI, 2018)

Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances. - Kai Liu 018; Hua Wang 007; Feiping Nie 001; Hao Zhang 011 (CVPR, 2018)

High-Order Co-Clustering via Strictly Orthogonal and Symmetric L1-Norm Nonnegative Matrix Tri-Factorization. - Kai Liu 018; Hua Wang 007 (IJCAI, 2018)

Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis. - Kai Liu 018; Hua Wang 007; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (ISBI, 2018)

Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning. - Lyujian Lu; Hua Wang 007; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (ISBI, 2018)

Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease. - Lodewijk Brand; Hua Wang 007; Heng Huang; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (MICCAI (1), 2018)

Sequence-based sparse optimization methods for long-term loop closure detection in visual SLAM. - Fei Han 002; Hua Wang 007; Guoquan Huang 001; Hao Zhang 011 (Auton. Robots, 2018)

Learning of Holism-Landmark Graph Embedding for Place Recognition in Long-Term Autonomy. - Fei Han 002; Saad El Beleidy; Hua Wang 007; Cang Ye; Hao Zhang 011 (IEEE Robotics Autom. Lett., 2018)

Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration. - Kai Liu 018; Hua Wang 007; Fei Han 002; Hao Zhang 011 (AAAI, 2019)

Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances. - Kai Liu 018; Lodewijk Brand; Hua Wang 007; Feiping Nie 001 (IJCAI, 2019)

Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method. - Haoxuan Yang; Kai Liu 018; Hua Wang 007; Feiping Nie 001 (IJCAI, 2019)

Learning Robust Multi-label Sample Specific Distances for Identifying HIV-1 Drug Resistance. - Lodewijk Brand; Xue Yang; Kai Liu 018; Saad El Beleidy; Hua Wang 007; Hao Zhang 011 (RECOMB, 2019)

Spherical Principal Component Analysis. - Kai Liu 018; Qiuwei Li; Hua Wang 007; Gongguo Tang (SDM, 2019)

Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms. - Feiping Nie 001; Hua Wang 007; Zheng Wang 037; Heng Huang (CoRR, 2019)

Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments. - Lyujian Lu; Saad Elbeleidy; Lauren Zoe Baker; Hua Wang 007 (AAAI, 2020)

Task Balanced Multimodal Feature Selection to Predict the Progression of Alzheimer's Disease. - Lodewijk Brand; Braedon O'Callaghan; Anthony Sun; Hua Wang 007 (BIBE, 2020)

Learning Semi-Supervised Representation Enrichment Using Longitudinal Imaging-Genetic Data. - Hoon Seo; Lodewijk Brand; Hua Wang 007 (BIBM, 2020)

Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers. - Lyujian Lu; Hua Wang 007; Saad Elbeleidy; Feiping Nie 001 (CVPR, 2020)

Predicting Longitudinal Outcomes of Alzheimer's Disease via a Tensor-Based Joint Classification andRegression Model. - Lodewijk Brand; Kai Nichols; Hua Wang 007; Heng Huang; Li Shen 001 (PSB, 2020)

Learning Robust Multilabel Sample Specific Distances for Identifying HIV-1 Drug Resistance. - Lodewijk Brand; Xue Yang; Kai Liu 018; Saad Elbeleidy; Hua Wang 007; Hao Zhang 011; Feiping Nie 001 (J. Comput. Biol., 2020)

Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer's Disease Prediction. - Lodewijk Brand; Kai Nichols; Hua Wang 007; Li Shen 001; Heng Huang (IEEE Trans. Medical Imaging, 2020)

Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations. - Hoon Seo; Lodewijk Brand; Hua Wang 007; Feiping Nie 001 (AAAI, 2021)

A multi-instance support vector machine with incomplete data for clinical outcome prediction of COVID-19. - Lodewijk Brand; Lauren Zoe Baker; Hua Wang 007 (BCB, 2021)

Learning Deeply Enriched Representations of Longitudinal Imaging-Genetic Data to Predict Alzheimer's Disease Progression. - Hoon Seo; Hua Wang 007 (BIBM, 2021)

A Linear Primal-Dual Multi-Instance SVM for Big Data Classifications. - Lodewijk Brand; Lauren Zoe Baker; Carla Ellefsen; Jackson Sargent; Hua Wang 007 (ICDM, 2021)

Robust Real-Time Group Activity Recognition of Robot Teams. - Lyujian Lu; Hua Wang 007; Brian Reily; Hao Zhang 011 (IEEE Robotics Autom. Lett., 2021)

Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions. - Lyujian Lu; Saad Elbeleidy; Lauren Zoe Baker; Hua Wang 007; Li Shen 001; Heng Huang (IEEE Trans. Biomed. Eng., 2021)

Factor-Bounded Nonnegative Matrix Factorization. - Kai Liu 018; Xiangyu Li; Zhihui Zhu; Lodewijk Brand; Hua Wang 007 (ACM Trans. Knowl. Discov. Data, 2021)

Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers. - Lyujian Lu; Saad Elbeleidy; Lauren Zoe Baker; Hua Wang 007; Feiping Nie 001 (IEEE Trans. Medical Imaging, 2021)

Scalable Multi-Instance Multi-Shape Support Vector Machine for Whole Slide Breast Histopathology. - Hoon Seo; Lodewijk Brand; Lucia Saldana Barco; Hua Wang 007 (ICKG, 2022)

Adaptive Principal Component Analysis. - Xiangyu Li; Hua Wang 007 (SDM, 2022)

Scaling multi-instance support vector machine to breast cancer detection on the BreaKHis dataset. - Hoon Seo; Lodewijk Brand; Lucia Saldana Barco; Hua Wang 007 (Bioinform., 2022)

Real-time recognition of team behaviors by multisensory graph-embedded robot learning. - Brian Reily; Peng Gao 009; Fei Han 002; Hua Wang 007; Hao Zhang 011 (Int. J. Robotics Res., 2022)

Beyond the Simplex: Hadamard-Infused Deep Sparse Representations for Enhanced Similarity Measures. - Xiangyu Li; Umberto Gherardi; Armand Ovanessians; Hua Wang 007 (ICKG, 2023)

Discovering Protein Interactions and Repurposing Drugs in SARS-CoV-2 (COVID-19) via Learning on Robust Multipartite Graphs. - Xiangyu Li; Armand Ovanessians; Hua Wang 007 (ICDM, 2023)

Enriched Representation Learning for Longitudinal Chest X-ray Analysis: A Novel Approach for Improved Disease Detection and Localization. - Xiangyu Li; Armand Ovanessians; Hua Wang 007 (ICDM, 2023)

Fast Multi-Modal Multi-Instance Support Vector Machine for Fine-grained Chest X-ray Recognition. - Hoon Seo; Hua Wang 007 (ICDM, 2023)

A linear primal-dual multi-instance SVM for big data classifications. - Lodewijk Brand; Hoon Seo; Lauren Zoe Baker; Carla Ellefsen; Jackson Sargent; Hua Wang 007 (Knowl. Inf. Syst., 2024)

On Mean-Optimal Robust Linear Discriminant Analysis. - Xiangyu Li; Hua Wang 007 (ACM Trans. Knowl. Discov. Data, 2024)

Toward Robust Discriminative Projections Learning Against Adversarial Patch Attacks. - Zheng Wang 037; Feiping Nie 001; Hua Wang 007; Heng Huang; Fei Wang 008 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Robust Spherical Laplacian Embedding. - Xiangyu Li; Hunter Belcher; Hua Wang 007 (IEEE Trans. Neural Networks Learn. Syst., 2025)