Hua Wang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 40

Top Topics

Disease Progression

Nonnegative Matrix

Linear Discriminant

Top Venues

J. Comput. Biol.

Publications

Lodewijk Brand, Hoon Seo, Lauren Zoe Baker, Carla Ellefsen, Jackson Sargent, Hua Wang
A linear primal-dual multi-instance SVM for big data classifications. Knowl. Inf. Syst. 66 (1) (2024)
Hoon Seo, Hua Wang
Fast Multi-Modal Multi-Instance Support Vector Machine for Fine-grained Chest X-ray Recognition. ICDM (2023)
Xiangyu Li, Armand Ovanessians, Hua Wang
Discovering Protein Interactions and Repurposing Drugs in SARS-CoV-2 (COVID-19) via Learning on Robust Multipartite Graphs. ICDM (2023)
Hoon Seo, Lodewijk Brand, Lucia Saldana Barco, Hua Wang
Scalable Multi-Instance Multi-Shape Support Vector Machine for Whole Slide Breast Histopathology. ICKG (2022)
Brian Reily, Peng Gao, Fei Han, Hua Wang, Hao Zhang
Real-time recognition of team behaviors by multisensory graph-embedded robot learning. Int. J. Robotics Res. 41 (8) (2022)
Kai Liu, Xiangyu Li, Zhihui Zhu, Lodewijk Brand, Hua Wang
Factor-Bounded Nonnegative Matrix Factorization. ACM Trans. Knowl. Discov. Data 15 (6) (2021)
Lyujian Lu, Hua Wang, Brian Reily, Hao Zhang
Robust Real-Time Group Activity Recognition of Robot Teams. IEEE Robotics Autom. Lett. 6 (2) (2021)
Lodewijk Brand, Lauren Zoe Baker, Carla Ellefsen, Jackson Sargent, Hua Wang
A Linear Primal-Dual Multi-Instance SVM for Big Data Classifications. ICDM (2021)
Hoon Seo, Hua Wang
Learning Deeply Enriched Representations of Longitudinal Imaging-Genetic Data to Predict Alzheimer's Disease Progression. BIBM (2021)
Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang, Feiping Nie
Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers. IEEE Trans. Medical Imaging 40 (3) (2021)
Hoon Seo, Lodewijk Brand, Hua Wang, Feiping Nie
Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations. AAAI (2021)
Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang, Li Shen, Heng Huang
Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions. IEEE Trans. Biomed. Eng. 68 (11) (2021)
Lodewijk Brand, Lauren Zoe Baker, Hua Wang
A multi-instance support vector machine with incomplete data for clinical outcome prediction of COVID-19. BCB (2021)
Lodewijk Brand, Kai Nichols, Hua Wang, Heng Huang, Li Shen
Predicting Longitudinal Outcomes of Alzheimer's Disease via a Tensor-Based Joint Classification andRegression Model. PSB (2020)
Lodewijk Brand, Xue Yang, Kai Liu, Saad Elbeleidy, Hua Wang, Hao Zhang, Feiping Nie
Learning Robust Multilabel Sample Specific Distances for Identifying HIV-1 Drug Resistance. J. Comput. Biol. 27 (4) (2020)
Lodewijk Brand, Braedon O'Callaghan, Anthony Sun, Hua Wang
Task Balanced Multimodal Feature Selection to Predict the Progression of Alzheimer's Disease. BIBE (2020)
Lodewijk Brand, Kai Nichols, Hua Wang, Li Shen, Heng Huang
Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer's Disease Prediction. IEEE Trans. Medical Imaging 39 (6) (2020)
Lyujian Lu, Hua Wang, Saad Elbeleidy, Feiping Nie
Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers. CVPR (2020)
Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang
Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments. AAAI (2020)
Hoon Seo, Lodewijk Brand, Hua Wang
Learning Semi-Supervised Representation Enrichment Using Longitudinal Imaging-Genetic Data. BIBM (2020)
Kai Liu, Hua Wang, Fei Han, Hao Zhang
Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration. AAAI (2019)
Kai Liu, Lodewijk Brand, Hua Wang, Feiping Nie
Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances. IJCAI (2019)
Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang, Heng Huang, Li Shen
Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments over Progressions. MICCAI (4) (2019)
Haoxuan Yang, Kai Liu, Hua Wang, Feiping Nie
Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method. IJCAI (2019)
Lodewijk Brand, Xue Yang, Kai Liu, Saad El Beleidy, Hua Wang, Hao Zhang
Learning Robust Multi-label Sample Specific Distances for Identifying HIV-1 Drug Resistance. RECOMB (2019)
Feiping Nie, Hua Wang, Zheng Wang, Heng Huang
Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms. CoRR (2019)
Fei Han, Hua Wang, Guoquan Huang, Hao Zhang
Sequence-based sparse optimization methods for long-term loop closure detection in visual SLAM. Auton. Robots 42 (7) (2018)
Lodewijk Brand, Hua Wang, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease. MICCAI (1) (2018)
Kai Liu, Hua Wang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis. ISBI (2018)
Fei Han, Saad El Beleidy, Hua Wang, Cang Ye, Hao Zhang
Learning of Holism-Landmark Graph Embedding for Place Recognition in Long-Term Autonomy. IEEE Robotics Autom. Lett. 3 (4) (2018)
Lyujian Lu, Hua Wang, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen
Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning. ISBI (2018)
Kai Liu, Hua Wang, Feiping Nie, Hao Zhang
Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances. CVPR (2018)
Fei Han, Hua Wang, Hao Zhang
Learning Integrated Holism-Landmark Representations for Long-Term Loop Closure Detection. AAAI (2018)
Hua Wang, Lin Yan, Heng Huang, Chris H. Q. Ding
From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (3) (2017)
Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang
Semi-Supervised Classifications via Elastic and Robust Embedding. AAAI (2017)
Xue Yang, Fei Han, Hua Wang, Hao Zhang
Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking. IJCAI (2016)
Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang
New l1-Norm Relaxations and Optimizations for Graph Clustering. AAAI (2016)
Hua Wang, Cheng Deng, Hao Zhang, Xinbo Gao, Heng Huang
Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning. AAAI (2016)
Xue Yang, Fei Han, Hua Wang, Hao Zhang
Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking. CoRR (2016)
Hao Zhang, Fei Han, Hua Wang
Robust Multimodal Sequence-Based Loop Closure Detection via Structured Sparsity. Robotics: Science and Systems (2016)
Hua Wang, Feiping Nie, Heng Huang
Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Trifactorization. ACM Trans. Knowl. Discov. Data 10 (1) (2015)
Hua Wang, Feiping Nie, Heng Huang
Learning Robust Locality Preserving Projection via p-Order Minimization. AAAI (2015)
Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding
-norm robust matrix completion for missing value recovery. Knowl. Inf. Syst. 42 (3) (2015)
Hua Wang, Heng Huang, Chris H. Q. Ding
Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency. J. Comput. Biol. 22 (6) (2015)
Chenping Hou, Feiping Nie, Hua Wang, Dongyun Yi, Changshui Zhang
Learning high-dimensional correspondence via manifold learning and local approximation. Neural Comput. Appl. 24 (7-8) (2014)
Hua Wang, Heng Huang, Chris H. Q. Ding
Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency. RECOMB (2014)
Hua Wang, Feiping Nie, Heng Huang
Low-Rank Tensor Completion with Spatio-Temporal Consistency. AAAI (2014)
Hua Wang, Feiping Nie, Heng Huang
Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization. ICML (2014)
Hua Wang, Feiping Nie, Heng Huang
Globally and Locally Consistent Unsupervised Projection. AAAI (2014)
Hua Wang, Feiping Nie, Weidong Cai, Heng Huang
Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization. ICCV (2013)
Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding
Adaptive Loss Minimization for Semi-Supervised Elastic Embedding. IJCAI (2013)
Hua Wang, Feiping Nie, Heng Huang
Robust and Discriminative Self-Taught Learning. ICML (3) (2013)
Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine. CVPR (2013)
Hua Wang, Heng Huang, Chris H. Q. Ding
Function-Function Correlated Multi-label Protein Function Prediction over Interaction Networks. J. Comput. Biol. 20 (4) (2013)
Hua Wang, Heng Huang, Chris H. Q. Ding
Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations. IJCAI (2013)
Hua Wang, Feiping Nie, Heng Huang
Multi-View Clustering and Feature Learning via Structured Sparsity. ICML (3) (2013)
Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding
Early Active Learning via Robust Representation and Structured Sparsity. IJCAI (2013)
Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie
Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. J. Comput. Biol. 20 (4) (2013)
Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie
Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. RECOMB (2012)
Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction. NIPS (2012)
Hua Wang, Feiping Nie, Heng Huang
Robust and discriminative distance for Multi-Instance Learning. CVPR (2012)
Xiao Cai, Hua Wang, Heng Huang, Chris H. Q. Ding
gene expression patterns. Bioinform. 28 (12) (2012)
Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning. Bioinform. 28 (12) (2012)
Hua Wang, Heng Huang, Chris H. Q. Ding
Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks. RECOMB (2012)
Xiao Cai, Hua Wang, Heng Huang, Chris H. Q. Ding
Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph. ECCV (6) (2012)
Hua Wang, Feiping Nie, Heng Huang, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen
Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort. Bioinform. 28 (2) (2012)
Jingwen Yan, Shannon L. Risacher, Sungeun Kim, Jacqueline C. Simon, Taiyong Li, Jing Wan, Hua Wang, Heng Huang, Andrew J. Saykin, Li Shen
Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning. MBIA (2012)
Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen
From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs. Bioinform. 28 (18) (2012)
Feiping Nie, Hua Wang, Xiao Cai, Heng Huang, Chris H. Q. Ding
Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization. ICDM (2012)
Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression. MICCAI (3) (2011)
Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris H. Q. Ding
Maximum Margin Multi-Instance Learning. NIPS (2011)
Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding
Unsupervised and semi-supervised learning via ℓ1-norm graph. ICCV (2011)
Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding
Dyadic transfer learning for cross-domain image classification. ICCV (2011)
Hua Wang, Feiping Nie, Heng Huang, Yi Yang
Learning frame relevance for video classification. ACM Multimedia (2011)
Hua Wang, Heng Huang, Chris H. Q. Ding
Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization. CIKM (2011)
Hua Wang, Heng Huang, Feiping Nie, Chris H. Q. Ding
Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization. SIGIR (2011)
Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin, Li Shen
Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance. ICCV (2011)
Hua Wang, Feiping Nie, Heng Huang
Learning Instance Specific Distance for Multi-Instance Classification. AAAI (2011)
Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang
-Norm Maximization. IJCAI (2011)
Hua Wang, Feiping Nie, Heng Huang, Fillia Makedon
Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering. IJCAI (2011)
Hua Wang, Heng Huang, Chris H. Q. Ding
Image annotation using bi-relational graph of images and semantic labels. CVPR (2011)
Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding
Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation. ICDM (2011)
Hua Wang, Chris H. Q. Ding, Heng Huang
Multi-label Linear Discriminant Analysis. ECCV (6) (2010)
Hua Wang, Chris H. Q. Ding, Heng Huang
Directed Graph Learning via High-Order Co-linkage Analysis. ECML/PKDD (3) (2010)
Hua Wang, Heng Huang, Chris H. Q. Ding
Image Categorization Using Directed Graphs. ECCV (3) (2010)
Hua Wang, Chris H. Q. Ding, Heng Huang
Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor. AAAI (2010)
Hua Wang, Heng Huang, Chris H. Q. Ding
Multi-label Feature Transform for Image Classifications. ECCV (4) (2010)
Hua Wang, Heng Huang, Chris H. Q. Ding
Discriminant Laplacian Embedding. AAAI (2010)
Hua Wang, Heng Huang, Chris H. Q. Ding
Image annotation using multi-label correlated Green's function. ICCV (2009)