Li Wang

Jennifer Urbano Blackford

Yunan Yang

SIAM/ASA J. Uncertain. Quantification, 2024

2023

Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium.

[BibT_eX]

[DOI]

Benjamin Suarez-Jimenez

Christopher L. Averill

C. Lexi Baird

Lee Baugh

Nicholas D. Davenport

Terri A. deRoon-Cassini

Jacklynn M. Fitzgerald

Sheri-Michelle Koopowitz

Mayuresh S. Korgaonkar

Richard W. J. Neufeld

Martha Elizabeth Shenton

Sophia I. Thomopoulos

Nic J. A. van der Wee

Steven J. A. van der Werff

Theo G. M. van Erp

Sanne J. H. van Rooij

Mirjam van Zuiden

Tim Varkevisser

Dick J. Veltman

Robert R. J. M. Vermeiren

NeuroImage, December, 2023

Density-Based Distance Preserving Graph: Theoretical and Practical Analyses.

[BibT_eX]

[DOI]

Haian Yin

Jin Zhang

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Multiview Orthonormalized Partial Least Squares: Regularizations and Deep Extensions.

[BibT_eX]

[DOI]

Wen-Wei Lin

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Trace ratio optimization with an application to multi-view learning.

[BibT_eX]

[DOI]

Lei-Hong Zhang

Math. Program., 2023

Exploring the Influence of Information Entropy Change in Learning Systems.

[BibT_eX]

[DOI]

CoRR, 2023

ImpDet: Exploring Implicit Fields for 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Human Identification at a Distance: Challenges, Methods and Results on HID 2023.

[BibT_eX]

[DOI]

Md Atiqur Rahman Ahad

Proceedings of the IEEE International Joint Conference on Biometrics, 2023

2022

Deep Tensor CCA for Multi-View Learning.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2022

A Scalable Algorithm for Large-Scale Unsupervised Multi-View Partial Least Squares.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2022

A Self-Consistent-Field Iteration for Orthogonal Canonical Correlation Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Maximizing sum of coupled traces with applications.

[BibT_eX]

[DOI]

Lei-Hong Zhang

Steven J. A. van der Werff

Numerische Mathematik, 2022

A comparison of methods to harmonize cortical thickness measurements across scanners and sites.

[BibT_eX]

[DOI]

Sophia I. Thomopoulos

Faisal Rashid

Christopher R. K. Ching

Benjamin Suarez-Jimenez

Sanne J. H. van Rooij

Robert R. J. M. Vermeiren

Mayuresh S. Korgaonkar

Nicholas D. Davenport

Daniel W. Grupe

Jack B. Nitschke

Terri A. deRoon-Cassini

Jacklynn M. Fitzgerald

Nic J. A. van der Wee

NeuroImage, 2022

Predicting brain structural network using functional connectivity.

[BibT_eX]

[DOI]

Alzheimer's Disease Neuroimaging Initiative

Medical Image Anal., 2022

Orthogonal multi-view analysis by successive approximations via eigenvectors.

[BibT_eX]

[DOI]

Neurocomputing, 2022

A self-consistent-field iteration for MAXBET with an application to multi-view feature extraction.

[BibT_eX]

[DOI]

Adv. Comput. Math., 2022

Exploring Latent Sparse Graph for Large-Scale Semi-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Probabilistic Semi-Supervised Learning via Sparse Graph Structure Learning.

[BibT_eX]

[DOI]

Raymond H. Chan

Tieyong Zeng

IEEE Trans. Neural Networks Learn. Syst., 2021

Multi-Material Decomposition for Single Energy CT Using Material Sparsity Constraint.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Probabilistic Structure Learning for EEG/MEG Source Imaging With Hierarchical Graph Priors.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

An Improved Boundary-Aware U-Net for Ore Image Semantic Segmentation.

[BibT_eX]

[DOI]

Sensors, 2021

Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

On Generalizing Trace Minimization.

[BibT_eX]

[DOI]

CoRR, 2021

Representing Alzheimer's Disease Progression via Deep Prototype Tree.

[BibT_eX]

[DOI]

CoRR, 2021

Progressive Coordinate Transforms for Monocular 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Depth-Conditioned Dynamic Message Propagation for Monocular 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Learning Low-Dimensional Latent Graph Structures: A Density Estimation Approach.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Orthogonal canonical correlation analysis and applications.

[BibT_eX]

[DOI]

Optim. Methods Softw., 2020

Spectral norm of a symmetric tensor and its computation.

[BibT_eX]

[DOI]

Shmuel Friedland

Math. Comput., 2020

Uncorrelated Semi-paired Subspace Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-view Orthonormalized Partial Least Squares: Regularizations and Deep Extensions.

[BibT_eX]

[DOI]

Wen-Wei Lin

CoRR, 2020

Recovering Brain Structural Connectivity from Functional Connectivity via Multi-GCN Based Generative Adversarial Network.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Jointly Analyzing Alzheimer's Disease Related Structure-Function Using Deep Cross-Model Attention Network.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Learning Latent Structure Over Deep Fusion Model of Mild Cognitive Impairment.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Probabilistic Dimensionality Reduction via Structure Learning.

[BibT_eX]

[DOI]

Qi Mao

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points.

[BibT_eX]

[DOI]

CoRR, 2019

Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior.

[BibT_eX]

[DOI]

CoRR, 2019

A Cascaded Multi-modality Analysis in Mild Cognitive Impairment.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Accessing Latent Connectome of Mild Cognitive Impairment via Discriminant Structure Learning.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Analyzing Mild Cognitive Impairment Progression via Multi-view Structural Learning.

[BibT_eX]

[DOI]

Paul M. Thompson

Proceedings of the Information Processing in Medical Imaging, 2019

CODA: Counting Objects via Scale-Aware Adversarial Density Adaption.

[BibT_eX]

[DOI]

Yongbo Li

Xiangyang Xue

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018

Arbitrary-Oriented Scene Text Detection via Rotation Proposals.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2018

Learning Multiviewpoint Context-Aware Representation for RGB-D Scene Classification.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2018

Crowd Counting with Density Adaption Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Exploring latent structures of Alzheimer's disease via structure learning.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Principal Graph and Structure Learning Based on Reversed Graph Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

A unified probabilistic framework for robust manifold learning and embedding.

[BibT_eX]

[DOI]

Qi Mao

Mach. Learn., 2017

Evolving boxes for fast vehicle detection.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

On the Flatness of Loss Surface for Two-layered ReLU Networks.

[BibT_eX]

[DOI]

Proceedings of The 9th Asian Conference on Machine Learning, 2017

Latent Smooth Skeleton Embedding.

[BibT_eX]

[DOI]

Qi Mao

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Probabilistic Dimensionality Reduction via Structure Learning.

[BibT_eX]

[DOI]

CoRR, 2016

Face Recognition via Active Annotation and Learning.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Matching Pursuit LASSO Part II: Applications and Sparse Recovery Over Batch Signals.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Matching Pursuit LASSO Part I: Sparse Recovery Over Big Dictionary.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Generalized Multiple Kernel Learning With Data-Dependent Priors.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

A Novel Regularized Principal Graph Learning Framework on Explicit Graph Representation.

[BibT_eX]

[DOI]

CoRR, 2015

SimplePPT: A Simple Principal Tree Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Dimensionality Reduction Via Graph Structure Learning.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Parallel Hierarchical Clustering in Linearithmic Time for Large-Scale Sequence Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

Towards ultrahigh dimensional feature selection for big data.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

Recognizing flu-like symptoms from videos.

[BibT_eX]

[DOI]

Sebastian Maurer-Stroh

Li Cheng

BMC Bioinform., 2014

Riemannian Pursuit for Big Matrix Recovery.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Minimax Sparse Logistic Regression for Very High-Dimensional Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

Is Matching Pursuit Solving Convex Problems?

[BibT_eX]

[DOI]

CoRR, 2013

2012

Structured learning of local features for human action classification and localization.

[BibT_eX]

[DOI]

Image Vis. Comput., 2012

Integrating local action elements for action analysis.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2012

Towards Large-scale and Ultrahigh Dimensional Feature Selection via Feature Generation

[BibT_eX]

[DOI]

CoRR, 2012

Convex Matching Pursuit for Large-Scale Sparse Coding and Subset Selection.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Elastic Sequence Correlation for Human Action Analysis.

[BibT_eX]

[DOI]

Li Cheng

Liang Wang

IEEE Trans. Image Process., 2011

Human Action Segmentation and Recognition Using Discriminative Semi-Markov Models.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2011

2010

Weakly Supervised Action Recognition Using Implicit Shape Models.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets.

[BibT_eX]

[DOI]