Hua Wang - RankMe

106 papers A* 42A 3B 4C 2Misc 1Journal 31Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Robust Spherical Laplacian Embedding. IEEE Trans. Neural Networks Learn. Syst. Xiangyu Li, Hunter Belcher, Hua Wang
2025	J	`jnl`	Scalable Multi-Instance Multi-Shape Support Vector Machine for Whole Slide Breast Histopathology. ACM Trans. Intell. Syst. Technol. Hoon Seo, Yuze Bai, Lodewijk Brand, Lucia Saldana Barco, Hua Wang
2024	J	`jnl`	A linear primal-dual multi-instance SVM for big data classifications. Knowl. Inf. Syst. Lodewijk Brand, Hoon Seo, Lauren Zoe Baker, Carla Ellefsen, Jackson Sargent, Hua Wang
2024	J	`jnl`	On Mean-Optimal Robust Linear Discriminant Analysis. ACM Trans. Knowl. Discov. Data Xiangyu Li, Hua Wang
2024	J	`jnl`	Toward Robust Discriminative Projections Learning Against Adversarial Patch Attacks. IEEE Trans. Neural Networks Learn. Syst. Zheng Wang, Feiping Nie, Hua Wang, Heng Huang, Fei Wang
2023	—	`conf`	Beyond the Simplex: Hadamard-Infused Deep Sparse Representations for Enhanced Similarity Measures. ICKG Xiangyu Li, Umberto Gherardi, Armand Ovanessians, Hua Wang
2023	A*	`conf`	Discovering Protein Interactions and Repurposing Drugs in SARS-CoV-2 (COVID-19) via Learning on Robust Multipartite Graphs. ICDM Xiangyu Li, Armand Ovanessians, Hua Wang
2023	A*	`conf`	Enriched Representation Learning for Longitudinal Chest X-ray Analysis: A Novel Approach for Improved Disease Detection and Localization. ICDM Xiangyu Li, Armand Ovanessians, Hua Wang
2023	A*	`conf`	Fast Multi-Modal Multi-Instance Support Vector Machine for Fine-grained Chest X-ray Recognition. ICDM Hoon Seo, Hua Wang
2022	A	`conf`	Adaptive Principal Component Analysis. SDM Xiangyu Li, Hua Wang
2022	A*	`conf`	On Mean-Optimal Robust Linear Discriminant Analysis. ICDM Xiangyu Li, Hua Wang
2022	J	`jnl`	Real-time recognition of team behaviors by multisensory graph-embedded robot learning. Int. J. Robotics Res. Brian Reily, Peng Gao, Fei Han, Hua Wang, Hao Zhang
2022	—	`conf`	Scalable Multi-Instance Multi-Shape Support Vector Machine for Whole Slide Breast Histopathology. ICKG Hoon Seo, Lodewijk Brand, Lucia Saldana Barco, Hua Wang
2022	J	`jnl`	Scaling multi-instance support vector machine to breast cancer detection on the BreaKHis dataset. Bioinform. Hoon Seo, Lodewijk Brand, Lucia Saldana Barco, Hua Wang
2021	A*	`conf`	A Linear Primal-Dual Multi-Instance SVM for Big Data Classifications. ICDM Lodewijk Brand, Lauren Zoe Baker, Carla Ellefsen, Jackson Sargent, Hua Wang
2021	—	`conf`	A multi-instance support vector machine with incomplete data for clinical outcome prediction of COVID-19. BCB Lodewijk Brand, Lauren Zoe Baker, Hua Wang
2021	J	`jnl`	Factor-Bounded Nonnegative Matrix Factorization. ACM Trans. Knowl. Discov. Data Kai Liu, Xiangyu Li, Zhihui Zhu, Lodewijk Brand, Hua Wang
2021	J	`jnl`	Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions. IEEE Trans. Biomed. Eng. Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang, Li Shen, Heng Huang
2021	A*	`conf`	Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations. AAAI Hoon Seo, Lodewijk Brand, Hua Wang, Feiping Nie
2021	—	`conf`	Learning Deeply Enriched Representations of Longitudinal Imaging-Genetic Data to Predict Alzheimer's Disease Progression. BIBM Hoon Seo, Hua Wang
2021	J	`jnl`	Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers. IEEE Trans. Medical Imaging Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang, Feiping Nie
2021	J	`jnl`	Robust Real-Time Group Activity Recognition of Robot Teams. IEEE Robotics Autom. Lett. Lyujian Lu, Hua Wang, Brian Reily, Hao Zhang
2020	J	`jnl`	Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer's Disease Prediction. IEEE Trans. Medical Imaging Lodewijk Brand, Kai Nichols, Hua Wang, Li Shen, Heng Huang
2020	A*	`conf`	Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments. AAAI Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang
2020	J	`jnl`	Learning Robust Multilabel Sample Specific Distances for Identifying HIV-1 Drug Resistance. J. Comput. Biol. Lodewijk Brand, Xue Yang, Kai Liu, Saad Elbeleidy, Hua Wang, Hao Zhang, Feiping Nie
2020	—	`conf`	Learning Semi-Supervised Representation Enrichment Using Longitudinal Imaging-Genetic Data. BIBM Hoon Seo, Lodewijk Brand, Hua Wang
2020	A*	`conf`	Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers. CVPR Lyujian Lu, Hua Wang, Saad Elbeleidy, Feiping Nie
2020	Misc	`conf`	Predicting Longitudinal Outcomes of Alzheimer's Disease via a Tensor-Based Joint Classification andRegression Model. PSB Lodewijk Brand, Kai Nichols, Hua Wang, Heng Huang, Li Shen
2020	C	`conf`	Task Balanced Multimodal Feature Selection to Predict the Progression of Alzheimer's Disease. BIBE Lodewijk Brand, Braedon O'Callaghan, Anthony Sun, Hua Wang
2019	—	`conf`	Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments over Progressions. MICCAI (4) Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang, Heng Huang, Li Shen
2019	A*	`conf`	Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances. IJCAI Kai Liu, Lodewijk Brand, Hua Wang, Feiping Nie
2019	B	`conf`	Learning Robust Multi-label Sample Specific Distances for Identifying HIV-1 Drug Resistance. RECOMB Lodewijk Brand, Xue Yang, Kai Liu, Saad El Beleidy, Hua Wang, Hao Zhang
2019	A*	`conf`	Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method. IJCAI Haoxuan Yang, Kai Liu, Hua Wang, Feiping Nie
2019	J	`jnl`	Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms. CoRR Feiping Nie, Hua Wang, Zheng Wang, Heng Huang
2019	A	`conf`	Spherical Principal Component Analysis. SDM Kai Liu, Qiuwei Li, Hua Wang, Gongguo Tang
2019	J	`jnl`	Spherical Principal Component Analysis. CoRR Kai Liu, Qiuwei Li, Hua Wang, Gongguo Tang
2019	A*	`conf`	Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration. AAAI Kai Liu, Hua Wang, Fei Han, Hao Zhang
2018	A*	`conf`	High-Order Co-Clustering via Strictly Orthogonal and Symmetric L1-Norm Nonnegative Matrix Tri-Factorization. IJCAI Kai Liu, Hua Wang
2018	—	`conf`	Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease. MICCAI (1) Lodewijk Brand, Hua Wang, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2018	A*	`conf`	Learning Integrated Holism-Landmark Representations for Long-Term Loop Closure Detection. AAAI Fei Han, Hua Wang, Hao Zhang
2018	A*	`conf`	Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances. CVPR Kai Liu, Hua Wang, Feiping Nie, Hao Zhang
2018	J	`jnl`	Learning of Holism-Landmark Graph Embedding for Place Recognition in Long-Term Autonomy. IEEE Robotics Autom. Lett. Fei Han, Saad El Beleidy, Hua Wang, Cang Ye, Hao Zhang
2018	—	`conf`	Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis. ISBI Kai Liu, Hua Wang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2018	—	`conf`	Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning. ISBI Lyujian Lu, Hua Wang, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2018	J	`jnl`	Sequence-based sparse optimization methods for long-term loop closure detection in visual SLAM. Auton. Robots Fei Han, Hua Wang, Guoquan Huang, Hao Zhang
2017	J	`jnl`	From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. Hua Wang, Lin Yan, Heng Huang, Chris H. Q. Ding
2017	A*	`conf`	Semi-Supervised Classifications via Elastic and Robust Embedding. AAAI Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang
2016	A*	`conf`	Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning. AAAI Hua Wang, Cheng Deng, Hao Zhang, Xinbo Gao, Heng Huang
2016	A*	`conf`	Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking. IJCAI Xue Yang, Fei Han, Hua Wang, Hao Zhang
2016	J	`jnl`	Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking. CoRR Xue Yang, Fei Han, Hua Wang, Hao Zhang
2016	A*	`conf`	New l1-Norm Relaxations and Optimizations for Graph Clustering. AAAI Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang
2016	—	`conf`	Robust Multimodal Sequence-Based Loop Closure Detection via Structured Sparsity. Robotics: Science and Systems Hao Zhang, Fei Han, Hua Wang
2015	J	`jnl`	Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency. J. Comput. Biol. Hua Wang, Heng Huang, Chris H. Q. Ding
2015	J	`jnl`	Joint Schatten p-norm and ℓ Knowl. Inf. Syst. Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding
2015	J	`jnl`	Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Trifactorization. ACM Trans. Knowl. Discov. Data Hua Wang, Feiping Nie, Heng Huang
2015	A*	`conf`	Learning Robust Locality Preserving Projection via p-Order Minimization. AAAI Hua Wang, Feiping Nie, Heng Huang
2014	B	`conf`	Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency. RECOMB Hua Wang, Heng Huang, Chris H. Q. Ding
2014	J	`jnl`	Emotion Detection via Discriminant Laplacian Embedding. Univers. Access Inf. Soc. Hua Wang, Heng Huang, Fillia Makedon
2014	A*	`conf`	Globally and Locally Consistent Unsupervised Projection. AAAI Hua Wang, Feiping Nie, Heng Huang
2014	J	`jnl`	Learning high-dimensional correspondence via manifold learning and local approximation. Neural Comput. Appl. Chenping Hou, Feiping Nie, Hua Wang, Dongyun Yi, Changshui Zhang
2014	A*	`conf`	Low-Rank Tensor Completion with Spatio-Temporal Consistency. AAAI Hua Wang, Feiping Nie, Heng Huang
2014	A*	`conf`	Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization. ICML Hua Wang, Feiping Nie, Heng Huang
2014	J	`jnl`	Self-taught learning via exponential family sparse coding for cost-effective patient thought record categorization. Pers. Ubiquitous Comput. Hua Wang, Heng Huang, Monica Basco, Molly Lopez, Fillia Makedon
2013	A*	`conf`	Adaptive Loss Minimization for Semi-Supervised Elastic Embedding. IJCAI Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding
2013	A*	`conf`	Early Active Learning via Robust Representation and Structured Sparsity. IJCAI Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding
2013	J	`jnl`	Function-Function Correlated Multi-label Protein Function Prediction over Interaction Networks. J. Comput. Biol. Hua Wang, Heng Huang, Chris H. Q. Ding
2013	A*	`conf`	Heterogeneous Visual Features Fusion via Sparse Multimodal Machine. CVPR Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding
2013	—	`conf`	Multi-View Clustering and Feature Learning via Structured Sparsity. ICML (3) Hua Wang, Feiping Nie, Heng Huang
2013	J	`jnl`	Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. J. Comput. Biol. Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie
2013	A*	`conf`	Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations. IJCAI Hua Wang, Heng Huang, Chris H. Q. Ding
2013	—	`conf`	Robust and Discriminative Self-Taught Learning. ICML (3) Hua Wang, Feiping Nie, Heng Huang
2013	A*	`conf`	Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization. ICCV Hua Wang, Feiping Nie, Weidong Cai, Heng Huang
2012	J	`jnl`	From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs. Bioinform. Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012	B	`conf`	Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks. RECOMB Hua Wang, Heng Huang, Chris H. Q. Ding
2012	—	`conf`	High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction. NIPS Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012	J	`jnl`	Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning. Bioinform. Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012	J	`jnl`	Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort. Bioinform. Hua Wang, Feiping Nie, Heng Huang, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012	J	`jnl`	Joint stage recognition and anatomical annotation of Bioinform. Xiao Cai, Hua Wang, Heng Huang, Chris H. Q. Ding
2012	—	`conf`	Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning. MBIA Jingwen Yan, Shannon L. Risacher, Sungeun Kim, Jacqueline C. Simon, Taiyong Li, Jing Wan, Hua Wang, Heng Huang, Andrew J. Saykin, Li Shen
2012	B	`conf`	Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. RECOMB Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie
2012	A*	`conf`	Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization. ICDM Feiping Nie, Hua Wang, Xiao Cai, Heng Huang, Chris H. Q. Ding
2012	A*	`conf`	Robust and discriminative distance for Multi-Instance Learning. CVPR Hua Wang, Feiping Nie, Heng Huang
2012	C	`conf`	Simultaneous Image Annotation and Geo-Tag Prediction via Correlation Guided Multi-task Learning. ISM Hua Wang, Dhiraj Joshi, Jiebo Luo, Heng Huang, Minwoo Park
2012	—	`conf`	Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph. ECCV (6) Xiao Cai, Hua Wang, Heng Huang, Chris H. Q. Ding
2011	—	`conf`	Cost effective depression patient thought record categorization via self-taught learning. PETRA Hua Wang, Heng Huang, Monica Basco, Molly Lopez, Fillia Makedon
2011	A*	`conf`	Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization. SIGIR Hua Wang, Heng Huang, Feiping Nie, Chris H. Q. Ding
2011	A*	`conf`	Dyadic transfer learning for cross-domain image classification. ICCV Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding
2011	A*	`conf`	Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering. IJCAI Hua Wang, Feiping Nie, Heng Huang, Fillia Makedon
2011	—	`conf`	Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression. MICCAI (3) Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2011	A*	`conf`	Image annotation using bi-relational graph of images and semantic labels. CVPR Hua Wang, Heng Huang, Chris H. Q. Ding
2011	A*	`conf`	Learning Instance Specific Distance for Multi-Instance Classification. AAAI Hua Wang, Feiping Nie, Heng Huang
2011	A*	`conf`	Learning frame relevance for video classification. ACM Multimedia Hua Wang, Feiping Nie, Heng Huang, Yi Yang
2011	—	`conf`	Maximum Margin Multi-Instance Learning. NIPS Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris H. Q. Ding
2011	A*	`conf`	Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation. ICDM Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding
2011	A*	`conf`	Robust Principal Component Analysis with Non-Greedy l IJCAI Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang
2011	A	`conf`	Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization. CIKM Hua Wang, Heng Huang, Chris H. Q. Ding
2011	A*	`conf`	Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance. ICCV Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin, Li Shen
2011	A*	`conf`	Unsupervised and semi-supervised learning via ℓ1-norm graph. ICCV Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding
2010	—	`conf`	Directed Graph Learning via High-Order Co-linkage Analysis. ECML/PKDD (3) Hua Wang, Chris H. Q. Ding, Heng Huang
2010	A*	`conf`	Discriminant Laplacian Embedding. AAAI Hua Wang, Heng Huang, Chris H. Q. Ding
2010	—	`conf`	Emotion detection via discriminative kernel method. PETRA Hua Wang, Heng Huang, Yanzi Hu, Mindi Anderson, Pamela R. Rollins, Fillia Makedon
2010	—	`conf`	Image Categorization Using Directed Graphs. ECCV (3) Hua Wang, Heng Huang, Chris H. Q. Ding
2010	A*	`conf`	Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor. AAAI Hua Wang, Chris H. Q. Ding, Heng Huang
2010	—	`conf`	Multi-label Feature Transform for Image Classifications. ECCV (4) Hua Wang, Heng Huang, Chris H. Q. Ding
2010	—	`conf`	Multi-label Linear Discriminant Analysis. ECCV (6) Hua Wang, Chris H. Q. Ding, Heng Huang
2009	A*	`conf`	Image annotation using multi-label correlated Green's function. ICCV Hua Wang, Heng Huang, Chris H. Q. Ding