Yu-ping Wang

Vince D. Calhoun, Dongdong Lin, Wenxing Hu, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Joint Gaussian copula model for mixed data with application to imaging epigenetics study of schizophrenia

Vince D. Calhoun, Aiying Zhang, Yu-Ping Wang, 2019, Medical Imaging.

Integration of multi-task fMRI for cognitive study by structure-enforced collaborative regression

Vince D. Calhoun, Yu-Ping Wang, Yuntong Bai, 2020, Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging.

Fast and Accurate Detection of Complex Imaging Genetics Associations Based on Greedy Projected Distance Correlation

Vince D. Calhoun, Hong-Wen Deng, Yu-Ping Wang, 2018, IEEE Transactions on Medical Imaging.

Left amygdala structure mediates longitudinal associations between exposure to threat and long‐term psychiatric symptomatology in youth

Abraham D. Killanin, Michaela R. Frenzel, Brittany K. Taylor, 2022, Human brain mapping.

Amygdala and hippocampal subregions mediate outcomes following trauma during typical development: Evidence from high-resolution structural MRI

Michaela R. Frenzel, Jacob A. Eastman, Nathan M. Petro, 2022, Neurobiology of Stress.

Imaging epigenetics study of schizophrenia with structure-enforced collaborative regression

Vince D. Calhoun, Xiao Zhang, Yu-Ping Wang, 2020, Medical Imaging.

Hippocampal and parahippocampal volumes vary by sex and traumatic life events in children

Vince D. Calhoun, Yu-Ping Wang, Julia M. Stephen, 2020, Journal of psychiatry & neuroscience : JPN.

Traumatic Events Are Associated with Diverse Psychological Symptoms in Typically-Developing Children

Mackenzie S. Mills, V. Calhoun, J. Stephen, 2019, Journal of Child & Adolescent Trauma.

Enforcing Co-Expression Within a Brain-Imaging Genomics Regression Framework

Vince D. Calhoun, Yu-Ping Wang, Pascal Zille, 2018, IEEE Transactions on Medical Imaging.

Neural oscillatory dynamics serving abstract reasoning reveal robust sex differences in typically-developing children and adolescents

Vince D. Calhoun, Yu-Ping Wang, Julia M. Stephen, 2020, Developmental Cognitive Neuroscience.

Integrated computational biology analysis to evaluate target genes for chronic myelogenous leukemia.

Yu-ping Wang, Hongbao Cao, Qiusheng Chen, 2018, Molecular medicine reports.

RNA-sequencing study of peripheral blood monocytes in chronic periodontitis.

Yu-ping Wang, H. Deng, Yao-Zhong Liu, 2016, Gene.

Sparse Representation Based Clustering for Integrated Analysis of Gene Copy Number Variation and Gene Expression Date

Dongdong Lin, Hongbao Cao, Yu-Ping Wang, 2012, Int. J. Comput. Their Appl..

Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data

T. Adalı, Yu-ping Wang, Irina Belyaeva, 2022, Neuroinformatics.

Multi-Modal Imaging Genetics Data Fusion via a Hypergraph-Based Manifold Regularization: Application to Schizophrenia Study

Li Xiao, Yu-ping Wang, V. Calhoun, 2022, IEEE Transactions on Medical Imaging.

Joint Bayesian-Incorporating Estimation of Multiple Gaussian Graphical Models to Study Brain Connectivity Development in Adolescence

Faming Liang, Wenxing Hu, Yu-Ping Wang, 2020, IEEE Transactions on Medical Imaging.

ISCA , 2011 M-FISH IMAGES ANALYSIS THROUGH IMPROVED ADAPTIVE FUZZY C-MEANS SEGMENTATION AND SPARSE REPRESENTATION CLASSIFICATION

Yu-ping Wang, Hongbao Cao, 2013 .

Gemeng Zhang, J. Stephen, T. Wilson, 2022, 2208.14484.

Knowledge database assisted gene marker selection for chronic lymphocytic leukemia

Yu-ping Wang, Hongbao Cao, X. Xiang, 2018, The Journal of international medical research.

Aberrant Brain Connectivity in Schizophrenia Detected via a Fast Gaussian Graphical Model

Faming Liang, Yuping Wang, Jian Fang, 2019, IEEE Journal of Biomedical and Health Informatics.

Gemeng Zhang, J. Stephen, T. Wilson, 2022, IEEE Transactions on Biomedical Engineering.

On individual genome-wide association studies and their meta-analysis

Yu-ping Wang, H. Deng, C. Papasian, 2014, Human Genetics.

Shift-Invariant Canonical Polyadic Decomposition of Complex-Valued Multi-Subject fMRI Data With a Phase Sparsity Constraint

Fengyu Cong, Qiu-Hua Lin, Xiao-Feng Gong, 2020, IEEE Transactions on Medical Imaging.

Spontaneous cortical MEG activity undergoes unique age- and sex-related changes during the transition to adolescence

Brandon J. Lew, Lauren R. Ott, Samantha H. Penhale, 2021, NeuroImage.

Biostatistics, Data Mining and Computational Modeling

Hao He, Dongdong Lin, Hong-Wen Deng, 2016 .

FDR-Corrected Sparse Canonical Correlation Analysis With Applications to Imaging Genomics

Alexej Gossmann, Yu-Ping Wang, Pascal Zille, 2017, IEEE Transactions on Medical Imaging.

Joint sparse canonical correlation analysis for detecting differential imaging genetics modules

Vince D. Calhoun, Dongdong Lin, Zongben Xu, 2016, Bioinform..

Correspondence between fMRI and SNP data by group sparse canonical correlation analysis

Vince D. Calhoun, Dongdong Lin, Yu-Ping Wang, 2014, Medical Image Anal..

Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies

Gang Qu, Vince D. Calhoun, Yu-Ping Wang, 2020, IEEE Transactions on Biomedical Engineering.

A Manifold Regularized Multi-Task Learning Model for IQ Prediction from Multiple fMRI Paradigms

Li Xiao, Vince D. Calhoun, Yu-Ping Wang, 2019, 1901.05913.

A Sparse Regression Method for Group-Wise Feature Selection with False Discovery Rate Control

Hong-Wen Deng, Alexej Gossmann, Shaolong Cao, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Identification of significant genetic variants via SLOPE, and its extension to group SLOPE

Yu-Ping Wang, Alexej Gossmann, Shaolong Cao, 2015, BCB.

A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets pdf

Hui Shen, Yu-Ping Wang, Hong-Wen Deng, 2020, ArXiv.

A kernel machine method for detecting higher order interactions in multimodal datasets: Application to schizophrenia

Vince D. Calhoun, Hong-Wen Deng, Yu-Ping Wang, 2018, Journal of Neuroscience Methods.

Influence function and robust variant of kernel canonical correlation analysis

Kenji Fukumizu, Yu-Ping Wang, Md. Ashad Alam, 2017, Neurocomputing.

Alternating Diffusion Map Based Fusion of Multimodal Brain Connectivity Networks for IQ Prediction

Li Xiao, Vince D. Calhoun, Yu-Ping Wang, 2018, IEEE Transactions on Biomedical Engineering.

Segmentation of M-FISH Images for Improved Classification of Chromosomes With an Adaptive Fuzzy C-means Clustering Algorithm

Yu-Ping Wang, H. Deng, Hyohoon Cao, 2012, IEEE Transactions on Fuzzy Systems.

Segmentation of M-FISH Images for improved classification of chromosomes with an adaptive fuzzy c-means clustering algorithm

Hongbao Cao, Yu-Ping Wang, Yu-ping Wang, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

MicroRNA–mRNA interaction analysis to detect potential dysregulation in complex diseases

Yu-ping Wang, Ji-Gang Zhang, H. Deng, 2015, Network Modeling Analysis in Health Informatics and Bioinformatics.

An Ensemble Hybrid Feature Selection Method for Neuropsychiatric Disorder Classification

Shaojie Tang, Yu-Ping Wang, Jianxin Wang, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition pdf

Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang, 2020, IEEE Transactions on Medical Imaging.

Integrated Analysis of Gene Expression and Copy Number Data on Gene Shaving Using Independent Component Analysis

Vince D. Calhoun, Jinhua Sheng, Yu-Ping Wang, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Characterization of Human Chromosomal Material Exchange with Regard to the Chromosome Translocations Using Next-Generation Sequencing Data

Yu-ping Wang, Ji-Gang Zhang, H. Deng, 2014, Genome biology and evolution.

The Next Generation Sequencing and Applications in Clinical Research

Junbo Duan, Hong-Wen Deng, Yu-Ping Wang, 2016 .

FISH: fast and accurate diploid genotype imputation via segmental hidden Markov model

Yu-Ping Wang, Hong-Wen Deng, Yong Lin, 2014, Bioinform..

Joint Detection of Associations Between DNA Methylation and Gene Expression From Multiple Cancers

Hong-Wen Deng, Yu-Ping Wang, Ji-Gang Zhang, 2018, IEEE Journal of Biomedical and Health Informatics.

Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNPs

Vince D. Calhoun, Dongdong Lin, Hongbao Cao, 2014, NeuroImage.

Integrative analysis of GWASs, human protein interaction, and gene expression identified gene modules associated with BMDs.

Jian Li, Yu-Ping Wang, Yan-Fang Guo, 2014, The Journal of clinical endocrinology and metabolism.

Subtyping of Leukemia with Gene Expression Analysis Using Compressive Sensing Method

Hongbao Cao, Yu-Ping Wang, Wenlong Tang, 2011, 2011 IEEE First International Conference on Healthcare Informatics, Imaging and Systems Biology.

Population clustering based on copy number variations detected from next generation sequencing data

Yu-Ping Wang, Junbo Duan, Hong-Wen Deng, 2014, J. Bioinform. Comput. Biol..

Common Copy Number Variation Detection From Multiple Sequenced Samples

Yu-Ping Wang, Junbo Duan, Hong-Wen Deng, 2014, IEEE Transactions on Biomedical Engineering.

Detection of common copy number variation with application to population clustering from next generation sequencing data

Yu-Ping Wang, Junbo Duan, Hong-Wen Deng, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Integrating Imaging Genomic Data in the Quest for Biomarkers of Schizophrenia Disease

Vince D. Calhoun, Su-Ping Deng, Wenxing Hu, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Development and sex modulate visuospatial oscillatory dynamics in typically-developing children and adolescents

Vince D. Calhoun, Yu-Ping Wang, Julia M. Stephen, 2020, NeuroImage.

Prediction and classification of sleep quality based on phase synchronization related whole-brain dynamic connectivity using resting state fMRI

Vince D. Calhoun, Yu-Ping Wang, Aiying Zhang, 2020, NeuroImage.

Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia

Gang Li, Yu-Ping Wang, Wenxing Hu, 2020, Comput. Methods Programs Biomed..

Functional connectomes incorporating phase synchronization for the characterization and prediction of individual differences

V. Calhoun, Li Xiao, Gemeng Zhang, 2022, Journal of Neuroscience Methods.

Functional connectome fingerprinting: Identifying individuals and predicting cognitive functions via autoencoder

V. Calhoun, Li Xiao, Gemeng Zhang, 2021, Human brain mapping.

Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction

Kun Zhang, Li Xiao, Gang Qu, 2021, ArXiv.

The Developmental Chronnecto-Genomics (Dev-CoG) study: A multimodal study on the developing brain

Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, 2020, NeuroImage.

Multi-Paradigm fMRI Fusion via Sparse Tensor Decomposition in Brain Functional Connectivity Study

Yu-Ping Wang, Tony W Wilson, Gemeng Zhang, 2020, IEEE Journal of Biomedical and Health Informatics.

Functional connectome fingerprinting: Identifying individuals and predicting cognitive function via deep learning

Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang, 2020, 2006.09928.

Estimating Dynamic Functional Brain Connectivity With a Sparse Hidden Markov Model

Vince D. Calhoun, Yu-Ping Wang, Aiying Zhang, 2020, IEEE Transactions on Medical Imaging.

Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data

Li Xiao, Yu-Ping Wang, Vince D Calhoun, 2019, IEEE Transactions on Medical Imaging.

Capturing Dynamic Connectivity From Resting State fMRI Using Time-Varying Graphical Lasso

Yuping Wang, Aiying Zhang, Vince D Calhoun, 2019, IEEE Transactions on Biomedical Engineering.

Deep Collaborative Learning With Application to the Study of Multimodal Brain Development

Yu-Ping Wang, Wenxing Hu, Aiying Zhang, 2019, IEEE Transactions on Biomedical Engineering.

Multi-modal Brain Connectivity Study Using Deep Collaborative Learning

Vince D. Calhoun, Yu-Ping Wang, Wenxing Hu, 2018, GRAIL/Beyond-MIC@MICCAI.

Dynamic Resting-State Connectivity Differences in Eyes Open Versus Eyes Closed Conditions

Yu-Ping Wang, Vince Calhoun, Oktay Agcaoglu, 2020, Brain Connect..

A robust sparse-modeling framework for estimating schizophrenia biomarkers from fMRI

Yu-Ping Wang, Vince Calhoun, Keith Dillon, 2017, Journal of Neuroscience Methods.

Individual differences in amygdala volumes predict changes in functional connectivity between subcortical and cognitive control networks throughout adolescence

Michaela R. Frenzel, Jacob A. Eastman, Christine M. Embury, 2021, NeuroImage.

Correlation Guided Graph Learning to Estimate Functional Connectivity Patterns From fMRI Data

Yu-Ping Wang, Aiying Zhang, Tony W Wilson, 2020, IEEE Transactions on Biomedical Engineering.

Deep Principal Correlated Auto-Encoders With Application to Imaging and Genomics Data Integration

Vince D. Calhoun, Yu-Ping Wang, Gang Li, 2020, IEEE Access.

Sparse Representation and Dictionary Learning Model Incorporating Group Sparsity and Incoherence to Extract Abnormal Brain Regions Associated With Schizophrenia

Yuping Wang, Yipu Zhang, Kaiming Wang, 2020, IEEE Access.

A GICA-TVGL framework to study sex differences in resting state fMRI dynamic connectivity

Yu-Ping Wang, Aiying Zhang, Gemeng Zhang, 2019, Journal of Neuroscience Methods.

Refined measure of functional connectomes for improved identifiability and prediction

Yu-Ping Wang, Wenxing Hu, Aiying Zhang, 2019, Human brain mapping.

Spatial source phase: A new feature for identifying spatial differences based on complex‐valued resting‐state fMRI data

Fengyu Cong, Qiu-Hua Lin, Yu-Ping Wang, 2019, Human brain mapping.

Altered resting fMRI spectral power in data-driven brain networks during development: A longitudinal study

J. Stephen, T. Wilson, Yu-ping Wang, 2022, Journal of Neuroscience Methods.

A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence pdf

Vince D. Calhoun, Yu-Ping Wang, Aiying Zhang, 2020, ArXiv.

Low-Rank Tucker-2 Model for Multi-Subject fMRI Data Decomposition With Spatial Sparsity Constraint

V. Calhoun, Xiaofeng Gong, Qiu-Hua Lin, 2021, IEEE Transactions on Medical Imaging.

Imaging Genetics: Information Fusion and Association Techniques Between Biomedical Images and Genetic Factors

Vince D. Calhoun, Yu-Ping Wang, Dongdong Lin, 2017 .

An image resolution perspective on functional activity mapping

Yu-Ping Wang, Keith Dillon, Yu-ping Wang, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Network-based investigation of genetic modules associated with functional brain networks in schizophrenia

Hao He, Vince D. Calhoun, Dongdong Lin, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

Integrating fMRI and SNP data for biomarker identification for schizophrenia with a sparse representation based variable selection method

V. Calhoun, Yu-ping Wang, D. Lin, 2013, BMC Medical Genomics.

Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model

Vince D. Calhoun, Yu-Ping Wang, Aiying Zhang, 2020, NeuroImage.

Modular and state-relevant functional network connectivity in high-frequency eyes open vs eyes closed resting fMRI data

Rogers F. Silva, V. Calhoun, J. Stephen, 2021, Journal of Neuroscience Methods.

Extraction of co-expressed discriminative features of schizophrenia in imaging epigenetics framework

Vince D. Calhoun, Yu-Ping Wang, Pascal Zille, 2019, Medical Imaging.

A systematic dissection of human primary osteoblasts in vivo at single-cell resolution

Yu-ping Wang, H. Deng, Hui Shen, 2020, bioRxiv.

Sexually dimorphic development in the cortical oscillatory dynamics serving early visual processing

Michaela R. Frenzel, Brandon J. Lew, Brittany K. Taylor, 2021, Developmental Cognitive Neuroscience.

CNV-TV: A robust method to discover copy number variation from short sequencing reads

Yu-Ping Wang, Junbo Duan, Hong-Wen Deng, 2013, BMC Bioinformatics.

A Joint Least Squares and Least Absolute Deviation Model

Yu-Ping Wang, Junbo Duan, Mingxi Wan, 2019, IEEE Signal Processing Letters.

Segmentation of multicolor fluorescence in situ hybridization images using an improved fuzzy C-means clustering algorithm by incorporating both spatial and spectral information

Dongdong Lin, Yu-Ping Wang, Jingyao Li, 2017, Journal of medical imaging.

Generalized LASSO with under-determined regularization matrices

Charles Soussen, David Brie, Jérôme Idier, 2016, Signal Process..

Computational estimation of resolution in reconstruction techniques utilizing sparsity, total variation, and nonnegativity

Yu-Ping Wang, Yeshaiahu Fainman, Keith Dillon, 2016, J. Electronic Imaging.

Imposing uniqueness to achieve sparsity

Yu-Ping Wang, Keith Dillon, Yu-ping Wang, 2016, Signal Process..

Troubled Hearts: Association Between Heart Rate Variability and Depressive Symptoms in Healthy Children

V. Calhoun, J. Stephen, T. Wilson, 2020, Applied Psychophysiology and Biofeedback.

Sparse models for correlative and integrative analysis of imaging and genetic data

Vince D. Calhoun, Dongdong Lin, Yu-Ping Wang, 2014, Journal of Neuroscience Methods.

Subclinical Anxiety and Posttraumatic Stress Influence Cortical Thinning During Adolescence.

Michaela R. Frenzel, Brittany K. Taylor, V. Calhoun, 2020, Journal of the American Academy of Child and Adolescent Psychiatry.

The lifespan trajectory of neural oscillatory activity in the motor system

Vince D. Calhoun, Yu-Ping Wang, Julia M. Stephen, 2018, Developmental Cognitive Neuroscience.

Detection of False-Positive Deletions from the Database of Genomic Variants

Junbo Duan, Mingxi Wan, Yu-Ping Wang, 2019, BioMed research international.

The developmental trajectory of sensorimotor cortical oscillations

Vince D. Calhoun, Yu-Ping Wang, Julia M. Stephen, 2019, NeuroImage.

A hypergraph learning method for brain functional connectivity network construction from fMRI data

Vince D. Calhoun, Yu-Ping Wang, Tony W. Wilson, 2020, Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging.

Identification of Genes for Complex Diseases Using Integrated Analysis of Multiple Types of Genomic Data

Yu-Ping Wang, Hongbao Cao, Hong-Wen Deng, 2012, PloS one.

A causal brain network estimation method leveraging Bayesian analysis and the PC algorithm

Vince D. Calhoun, Yu-Ping Wang, Aiying Zhang, 2020, Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging.

Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM) pdf

Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang, 2020, ArXiv.

Causal inference of brain connectivity from fMRI with $\psi$-Learning Incorporated Linear non-Gaussian Acyclic Model ($\psi$-LiNGAM)

Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang, 2020, 2006.09536.

Examining brain maturation during adolescence using graph Laplacian learning based Fourier transform

Li Xiao, Yu-Ping Wang, Tony W. Wilson, 2020, Journal of Neuroscience Methods.

Causal brain network in schizophrenia by a two-step Bayesian network analysis

Vince D. Calhoun, Yu-Ping Wang, Aiying Zhang, 2020, Medical Imaging.

Distance canonical correlation analysis with application to an imaging-genetic study

Wenxing Hu, Aiying Zhang, Yu-Ping Wang, 2019, Journal of medical imaging.

Tracking the development of brain connectivity in adolescence through a fast Bayesian integrative method

Aiying Zhang, Yu-Ping Wang, Bochao Jia, 2018, Medical Imaging.

Multimodal Sparse Classifier for Adolescent Brain Age Prediction

Yu-Ping Wang, Alexej Gossmann, Peyman Hosseinzadeh Kassani, 2019, IEEE Journal of Biomedical and Health Informatics.

Integrative analysis of multiple diverse omics datasets by sparse group multitask regression

Hao He, Dongdong Lin, Yu-Ping Wang, 2014, Front. Cell Dev. Biol..

Frontoparietal network and neuropsychological measures in typically developing children

V. Calhoun, J. Stephen, T. Wilson, 2021, Neuropsychologia.

Detection of genetic factors associated with multiple correlated imaging phenotypes by a sparse regression model

Vince D. Calhoun, Dongdong Lin, Yu-Ping Wang, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Pubertal Testosterone Tracks the Developmental Trajectory of Neural Oscillatory Activity Serving Visuospatial Processing.

Yu-Ping Wang, Julia M Stephen, Vince D Calhoun, 2020, Cerebral cortex.

Group sparse canonical correlation analysis for genomic data integration

V. Calhoun, Yu-ping Wang, D. Lin, 2013, BMC Bioinformatics.

A patch‐based tensor decomposition algorithm for M‐FISH image classification

Ting-Zhu Huang, Min Wang, Yu-Ping Wang, 2017, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

The impact of pubertal DHEA on the development of visuospatial oscillatory dynamics

Michaela R. Frenzel, Brittany K. Taylor, J. Stephen, 2022, Human brain mapping.

Neural oscillations underlying selective attention follow sexually divergent developmental trajectories during adolescence

Michaela R. Frenzel, Brittany K. Taylor, V. Calhoun, 2021, Developmental Cognitive Neuroscience.

Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNP data

Vince D. Calhoun, Dongdong Lin, Hongbao Cao, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Bio marker identification for diagnosis of schizophrenia with integrated analysis of fMRI and SNPs

Vince D. Calhoun, Dongdong Lin, Hongbao Cao, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine.

Canonical Correlation Analysis of Imaging Genetics Data Based on Statistical Independence and Structural Sparsity

Gang Li, Yongfeng Ju, Yu-Ping Wang, 2020, IEEE Journal of Biomedical and Health Informatics.

Resolution-based spectral clustering for brain parcellation using functional MRI

Yu-Ping Wang, Keith Dillon, Yu-ping Wang, 2020, Journal of Neuroscience Methods.

Spectral Resolution Clustering for Brain Parcellation pdf

Yu-Ping Wang, Keith Dillon, Yu-ping Wang, 2018, ArXiv.

Resting‐state functional connectivity of the human hippocampus in periadolescent children: Associations with age and memory performance

Michaela R. Frenzel, Jacob A. Eastman, David E. Warren, 2021, Human brain mapping.

Schizophrenia genes discovery by mining the minimum spanning trees from multi-dimensional imaging genomic data integration

Dongdong Lin, Yu-Ping Wang, Su-Ping Deng, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Brain Development Includes Linear and Multiple Nonlinear Trajectories: A Cross-Sectional Resting-State Functional Magnetic Resonance Imaging Study

Vince D. Calhoun, Yu-Ping Wang, Julia M. Stephen, 2019, Brain Connect..

An explainable autoencoder with multi-paradigm fMRI fusion for identifying differences in dynamic functional connectivity during brain development

J. Stephen, T. Wilson, Yu-ping Wang, 2022, Neural Networks.

Longitudinal changes in the neural oscillatory dynamics underlying abstract reasoning in children and adolescents

Michaela R. Frenzel, Jacob A. Eastman, Brittany K. Taylor, 2022, NeuroImage.

Neural dynamics of verbal working memory processing in children and adolescents

Yu-Ping Wang, Alex I. Wiesman, Julia M Stephen, 2019, NeuroImage.

Predicting schizophrenia by fusing networks from SNPs, DNA methylation and fMRI data

Vince D. Calhoun, Dongdong Lin, Yu-Ping Wang, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Schizophrenia Prediction Using Integrated Imaging Genomic Networks

Vince D. Calhoun, Su-Ping Deng, Wenxing Hu, 2017 .

HOPS: A Fast Algorithm for Segmenting Piecewise Polynomials of Arbitrary Orders

Junbo Duan, Yu-Ping Wang, Qing Wang, 2021, IEEE Access.

A Bayesian Analysis for Identifying DNA Copy Number Variations Using a Compound Poisson Process

Jie Chen, Yu-Ping Wang, Hong-Wen Deng, 2010, EURASIP J. Bioinform. Syst. Biol..

Integrated Analysis of Gene Expression and Copy Number Data using Sparse Representation Based Clustering Model

Hongbao Cao, Yu-Ping Wang, Yu-ping Wang, 2011, BICoB.

An integrative imputation method based on multi-omics datasets

Yu-ping Wang, D. Lin, Jingyao Li, 2016, BMC Bioinformatics.

Unified tests for fine scale mapping and identifying sparse high-dimensional sequence associations

Yu-Ping Wang, Hong-Wen Deng, Alexej Gossmann, 2015, Bioinform..

Unified tests for fine scale mapping and identifying sparse high-dimensional sequence associations

Yu-Ping Wang, Hong-Wen Deng, Alexej Gossmann, 2015, BCB.

Scaled sparse high-dimensional tests for localizing sequence variants

Yu-Ping Wang, Hong-Wen Deng, Huaizhen Qin, 2014, BCB.

On LARS/Homotopy Equivalence Conditions for Over-Determined LASSO

Charles Soussen, David Brie, Jérôme Idier, 2012, IEEE Signal Processing Letters.

A Statistical Test for Differential Network Analysis Based on Inference of Gaussian Graphical Model

Yu-ping Wang, Ji-Gang Zhang, H. Deng, 2019, Scientific Reports.

A Compressed Sensing Based Approach for Subtyping of Leukemia from gene Expression Data

Hongbao Cao, Yu-Ping Wang, Junbo Duan, 2011, J. Bioinform. Comput. Biol..

Integration of Imaging (epi)Genomics Data for the Study of Schizophrenia Using Group Sparse Joint Nonnegative Matrix Factorization

Ting-Zhu Huang, Yu-Ping Wang, Vince D Calhoun, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Optimized Combination of Multiple Graphs With Application to the Integration of Brain Imaging and (epi)Genomics Data

Yu-Ping Wang, Vince Calhoun, Yuntong Bai, 2019, IEEE Transactions on Medical Imaging.

A Sparse Model Based Detection of Copy Number Variations From Exome Sequencing Data

Yu-Ping Wang, Junbo Duan, Hong-Wen Deng, 2016, IEEE Transactions on Biomedical Engineering.

An optimal method to segment piecewise poisson distributed signals with application to sequencing data

Charles Soussen, David Brie, Jérôme Idier, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Modeling exome sequencing data with generalized Gaussian distribution with application to copy number variation detection

Yu-Ping Wang, Junbo Duan, Hong-Wen Deng, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

Detection of copy number variation from next generation sequencing data with total variation penalized least square optimization

Yu-Ping Wang, Junbo Duan, Hong-Wen Deng, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Multiview Diffusion Map Improves Prediction of Fluid Intelligence With Two Paradigms of fMRI Analysis

Vince D. Calhoun, Yu-Ping Wang, Julia M. Stephen, 2020, IEEE Transactions on Biomedical Engineering.

A Latent Gaussian Copula Model for Mixed Data Analysis in Brain Imaging Genetics

Jian Fang, Yu-Ping Wang, Wenxing Hu, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Joint Sparse Collaborative Regression on Imaging Genetics Study of Schizophrenia

Yu-ping Wang, Yuzhu Xiao, Xueli Song, 2022, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Functional network estimation using multigraph learning with application to brain maturation study

V. Calhoun, Li Xiao, J. Stephen, 2021, Human brain mapping.

A Statistical Test for Differential Network Analysis Based on Inference of Gaussian Graphical Model

Hao He, Hui Shen, Yu-Ping Wang, 2019, Scientific Reports.

Identification of genes for complex diseases by integrating multiple types of genomic data

Hongbao Cao, Yu-Ping Wang, Hong-Wen Deng, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

On efficient meta-filtering of big data

Yu-Ping Wang, Keith Dillon, Yu-ping Wang, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Adaptive Sparse Multiple Canonical Correlation Analysis With Application to Imaging (Epi)Genomics Study of Schizophrenia

Vince D. Calhoun, Jingyu Liu, Yu-Ping Wang, 2017, IEEE Transactions on Biomedical Engineering.

High dimensional latent Gaussian copula model for mixed data in imaging genetics

Vince D. Calhoun, Yu-Ping Wang, Jian Fang, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

A hybrid correlation analysis with application to imaging genetics

Vince D. Calhoun, Yu-Ping Wang, Wenxing Hu, 2018, Medical Imaging.

FISH: fast and accurate diploid genotype imputation via segmental hidden Markov model

Yu-ping Wang, H. Deng, Xiaoying Fu, 2014, Bioinform..

Robust kernel canonical correlation analysis to detect gene-gene co-associations: A case study in genetics

Vince D. Calhoun, Yu-Ping Wang, Osamu Komori, 2019, J. Bioinform. Comput. Biol..

Robust Kernel Canonical Correlation Analysis to Detect Gene-Gene Interaction for Imaging Genetics Data

Vince D. Calhoun, Yu-Ping Wang, Osamu Komori, 2016, BCB.

The effective diagnosis of schizophrenia by using multi-layer RBMs deep networks

Dongdong Lin, Yu-Ping Wang, Chen Qiao, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Group sparse canonical correlation analysis for genomic data integration

Vince D. Calhoun, Dongdong Lin, Yu-Ping Wang, 2013, BMC Bioinformatics.

Identifying outliers using multiple kernel canonical correlation analysis with application to imaging genetics

Vince D. Calhoun, Yu-Ping Wang, Md. Ashad Alam, 2018, Comput. Stat. Data Anal..

Influence Function of Multiple Kernel Canonical Analysis to Identify Outliers in Imaging Genetics Data

Vince D. Calhoun, Yu-Ping Wang, Md. Ashad Alam, 2016, BCB.

Learning schizophrenia imaging genetics data via Multiple Kernel Canonical Correlation Analysis

Vince D. Calhoun, Yu-Ping Wang, Md. Ashad Alam, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Group Sparse Joint Non-Negative Matrix Factorization on Orthogonal Subspace for Multi-Modal Imaging Genetics Data Analysis

Gang Li, Yongfeng Ju, Yu-Ping Wang, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study

Vince D. Calhoun, Chen Qiao, Yu-Ping Wang, 2020, Neural Networks.

Classifying six glioma subtypes from combined gene expression and CNVs data based on compressive sensing approach

Dongdong Lin, Hongbao Cao, Yu-Ping Wang, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

A sufficient condition on monotonic increase of the number of nonzero entry in the optimizer of L1 norm penalized least-square problem pdf

Charles Soussen, David Brie, Jérôme Idier, 2011, ArXiv.

Estimating Dynamic Functional Brain Connectivity With a Sparse Hidden Markov Model

V. Calhoun, Gemeng Zhang, J. Stephen, 2020, IEEE Transactions on Medical Imaging.

Fused Estimation of Sparse Connectivity Patterns From Rest fMRI—Application to Comparison of Children and Adult Brains

Vince D. Calhoun, Yu-Ping Wang, Julia M. Stephen, 2018, IEEE Transactions on Medical Imaging.

Detection of Gait Abnormalities in Sprague-Dawley Rats after 6-hydroxydopamine Injection and the Experiment Efficient Design

Uri Tasch, Yu-Ping Wang, Wenlong Tang, 2011, 2011 IEEE First International Conference on Healthcare Informatics, Imaging and Systems Biology.

An integrative imputation method based on multi-omics datasets

Dongdong Lin, Yu-Ping Wang, Hong-Wen Deng, 2016, BMC Bioinformatics.

Developmental trajectory of MEG resting-state oscillatory activity in children and adolescents: a longitudinal reliability study.

J. Stephen, T. Wilson, Yu-ping Wang, 2022, Cerebral Cortex.

Integration of network topological features and graph Fourier transform for fMRI data analysis

Vince D. Calhoun, Yu-Ping Wang, Julia M. Stephen, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Diagnosing schizophrenia by integrating genomic and imaging data through network fusion

Vince D. Calhoun, Dongdong Lin, Yu-Ping Wang, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).