Jingyu Liu

According to our database, Jingyu Liu authored at least 65 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Efficient federated learning for distributed neuroimaging data.

Bishal Thapaliya, Riyasat Ohib, Eloy Geenjaar, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis

Frontiers Neuroinformatics, 2024

DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks.

Bishal Thapaliya, Robyn L. Miller, Jiayu Chen, Yu-Ping Wang, Esra Akbas, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Santosh Ghimire, Vince D. Calhoun, Jingyu Liu

CoRR, 2024

Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning.

Riyasat Ohib, Bishal Thapaliya, Gintare Karolina Dziugaite, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis

CoRR, 2024

A Method to Estimate Longitudinal Change Patterns in Functional Network Connectivity of the Developing Brain Relevant to Psychiatric Problems, Cognition, and Age.

Rekha Saha, Debbrata K. Saha, Md Abdur Rahaman, Zening Fu, Jingyu Liu, Vince D. Calhoun

Brain Connect., 2024

Replication and Refinement of Brain Age Model for Adolescent Development.

Bhaskar Ray, Jiayu Chen, Zening Fu, Pranav Suresh, Bishal Thapaliya, Britny Farahdel, Vince D. Calhoun, Jingyu Liu

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Multimodal Imaging Feature Extraction with Reference Canonical Correlation Analysis Underlying Intelligence.

Ram Sapkota, Bishal Thapaliya, Pranav Suresh, Bhaskar Ray, Vince D. Calhoun, Jingyu Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Disrupted Dynamic Functional Network Connectivity Among Cognitive Control Networks in the Progression of Alzheimer's Disease.

Mohammad S. Eslampanah Sendi, Elaheh Zendehrouh, Zening Fu, Jingyu Liu, Yuhui Du, Elizabeth Mormino, David H. Salat, Vince D. Calhoun, Robyn L. Miller

Brain Connect., August, 2023

Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data.

Bishal Thapaliya, Esra Akbas, Jiayu Chen, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Vince D. Calhoun, Jingyu Liu

CoRR, 2023

SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training.

Riyasat Ohib, Bishal Thapaliya, Pratyush Gaggenapalli, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis

CoRR, 2023

Effective Training Strategy for NN Models of Working Memory Classification with Limited Samples.

Pranav Suresh, Bhaskar Ray, Bishal Thapaliya, Britny Farahdel, Behnam Kazemivash, Jiayu Chen, Kuaikuai Duan, Vince D. Calhoun, Jingyu Liu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Capturing Spatial Dynamics Using Time-Resolved Referenced-Informed Network Estimation Techniques.

Armin Iraji, Jiayu Chen, Ashkan Faghiri, Zening Fu, Jingyu Liu, Juan R. Bustillo, Tülay Adali, Mukesh Dhamala, Vince D. Calhoun

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Any-Way Independent Component Analysis with Reference.

Kuaikuai Duan, Rogers F. Silva, Jingyu Liu, Oktay Agcaoglu, Vince D. Calhoun

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Decentralized Parallel Independent Component Analysis for Multimodal, Multisite Data.

Chan Aek Panichvatana, Jiayu Chen, Bradley T. Baker, Bishal Thapaliya, Vince D. Calhoun, Jingyu Liu

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Decentralized Brain Age Estimation Using MRI Data.

Sunitha Basodi, Rajikha Raja, Bhaskar Ray, Harshvardhan Gazula, Anand D. Sarwate, Sergey M. Plis, Jingyu Liu, Eric Verner, Vince D. Calhoun

Neuroinformatics, 2022

Functional Connectivity Stability: A Signature of Neurocognitive Development and Psychiatric Problems in Children.

Zening Fu, Mustafa S. Salman, Jingyu Liu, Vince D. Calhoun

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

A Joint Analysis of Multi-Paradigm fMRI Data With Its Application to Cognitive Study.

Yuntong Bai, Yun Gong, Jianchao Bai, Jingyu Liu, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang

IEEE Trans. Medical Imaging, 2021

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

Julia M. Stephen, Isabel Solis, J. Janowich, M. Stern, Michaela R. Frenzel, Jacob A. Eastman, Mackenzie S. Mills, Christine M. Embury, N. M. Coolidge, Elizabeth Heinrichs-Graham, Andy R. Mayer, Jingyu Liu, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun

NeuroImage, 2021

Evaluating the Neuroimaging-Genetic Prediction of Symptom Changes in Individuals with ADHD.

Pranav Suresh, Bhaskar Ray, Kuaikuai Duan, Jiayu Chen, Gido Schoenmacker, Barbara Franke, Jan K. Buitelaar, Emma Sprooten, Alejandro Arias-Vasquez, Jessica A. Turner, Jingyu Liu

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Multimodal Brain Age Prediction with Feature Selection and Comparison.

Bhaskar Ray, Kuaikuai Duan, Jiayu Chen, Zening Fu, Pranav Suresh, Sarah Johnson, Vince D. Calhoun, Jingyu Liu

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Federation of Brain Age Estimation in Structural Neuroimaging Data.

Sunitha Basodi, Rajikha Raja, Bhaskar Ray, Harshvardhan Gazula, Jingyu Liu, Eric Verner, Vince D. Calhoun

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Environmental and genome-wide association study on children anxiety and depression.

Bishal Thapaliya, Vince D. Calhoun, Jingyu Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Confirmatory Factor Analysis on Mental Health Status using ABCD Cohort.

Britny Farahdel, Bishal Thapaliya, Pranav Suresh, Bhaskar Ray, Vince D. Calhoun, Jingyu Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis.

Thomas DeRamus, Armin Iraji, Zening Fu, Rogers F. Silva, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang, Yuhui Du, Jingyu Liu, Vince D. Calhoun

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

2020

N-BiC: A Method for Multi-Component and Symptom Biclustering of Structural MRI Data: Application to Schizophrenia.

Md Abdur Rahaman, Daniel H. Mathalon, Hyo Jong Lee, Wenhao Jiang, Bryon A. Mueller, Ole A. Andreassen, Ingrid Agartz, Scott R. Sponheim, Andrew R. Mayer, Julia M. Stephen, Rex E. Jung, Jessica A. Turner, José M. Cañive, Juan R. Bustillo, Vince D. Calhoun, Cota Navin Gupta, Srinivas Rachakonda, Jiayu Chen, Jingyu Liu, Theo G. M. van Erp, Steven G. Potkin, Judith M. Ford

IEEE Trans. Biomed. Eng., 2020

Meta-Modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia.

Haleh Falakshahi, Victor M. Vergara, Jingyu Liu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Hooman Rokham, Jing Sui, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun

IEEE Trans. Biomed. Eng., 2020

aNy-way Independent Component Analysis.

Kuaikuai Duan, Vince D. Calhoun, Jingyu Liu, Rogers F. Silva

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Translational Potential of Neuroimaging Genomic Analyses to Diagnosis and Treatment in Mental Disorders.

Jiayu Chen, Jingyu Liu, Vince D. Calhoun

Proc. IEEE, 2019

Scanning the Issue.

Ian F. Akyildiz, Massimiliano Pierobon, Sasitharan Balasubramaniam, Jiankang Zhang, Taihai Chen, Shida Zhong, Jingjing Wang, Wenbo Zhang, Xin Zuo, Robert G. Maunder, Lajos Hanzo, Jiayu Chen, Jingyu Liu, Vince D. Calhoun, Alexander B. Magoun

Proc. IEEE, 2019

A framework for linking resting-state chronnectome/genome features in schizophrenia: A pilot study.

Barnaly Rashid, Jiayu Chen, Ishtiaque Rashid, Eswar Damaraju, Jingyu Liu, Robyn L. Miller, Oktay Agcaoglu, Theo G. M. van Erp, Kelvin O. Lim, Jessica A. Turner, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Vince D. Calhoun

NeuroImage, 2019

Association between the oral microbiome and brain resting state connectivity in smokers.

Dongdong Lin, Kent Hutchison, Salvador Portillo, Victor Vegara, Jarrod M. Ellingson, Jingyu Liu, Kenneth S. Krauter, Amanda Carroll-Portillo, Vince D. Calhoun

NeuroImage, 2019

Sparse Infomax Based on Hoyer Projection and its Application to Simulated Structural MRI and SNP Data.

Kuaikuai Duan, Rogers F. Silva, Jiayu Chen, Dongdong Lin, Vince D. Calhoun, Jingyu Liu

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

2018

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

Wenxing Hu, Dongdong Lin, Shaolong Cao, Jingyu Liu, Jiayu Chen, Vince D. Calhoun, Yu-Ping Wang

IEEE Trans. Biomed. Eng., 2018

Whole-Brain Connectivity in a Large Study of Huntington's Disease Gene Mutation Carriers and Healthy Controls.

Flor A. Espinoza, Jessica A. Turner, Victor M. Vergara, Robyn L. Miller, Eva Mennigen, Jingyu Liu, Maria B. Misiura, Jennifer Ciarochi, Hans J. Johnson, Jeffrey D. Long, Henry Jeremy Bockholt, Vincent A. Magnotta, Jane S. Paulsen, Vince D. Calhoun

Brain Connect., 2018

2017

Multimodal Neuroimaging in Schizophrenia: Description and Dissemination.

C. J. Aine, Henry Jeremy Bockholt, Juan R. Bustillo, José M. Cañive, Arvind Caprihan, Charles Gasparovic, Faith M. Hanlon, Jon M. Houck, Rex E. Jung, John Lauriello, Jingyu Liu, Andy R. Mayer, Nora I. Perrone-Bizzozero, Stefan Posse, Julia M. Stephen, Jessica A. Turner, Vincent P. Clark, Vince D. Calhoun

Neuroinformatics, 2017

Alterations of resting state functional network connectivity in the brain of nicotine and alcohol users.

Victor M. Vergara, Jingyu Liu, Eric D. Claus, Kent Hutchison, Vince D. Calhoun

NeuroImage, 2017

2015

A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders.

Yuhui Du, Godfrey D. Pearlson, Jingyu Liu, Jing Sui, Qingbao Yu, Hao He, Eduardo Castro, Vince D. Calhoun

NeuroImage, 2015

Parallel group ICA for multimodal biomedical data analyses.

Jingyu Liu, Jiayu Chen, Vince D. Calhoun

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

A three-way parallel ICA approach to analyze links among genetics, brain structure and brain function.

Victor M. Vergara, Alvaro Ulloa, Vince D. Calhoun, David Boutte, Jiayu Chen, Jingyu Liu

NeuroImage, 2014

A review of multivariate analyses in imaging genetics.

Jingyu Liu, Vince D. Calhoun

Frontiers Neuroinformatics, 2014

A quasi-local method for instantaneous frequency estimation with application to structural magnetic resonance images.

Alvaro Ulloa, Paul Rodríguez, Jingyu Liu, Vince D. Calhoun, Marios S. Pattichis

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Three-way parallel independent component analysis for imaging genetics using multi-objective optimization.

Alvaro Ulloa, Jingyu Liu, Victor M. Vergara, Jiayu Chen, Vince D. Calhoun, Marios S. Pattichis

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks.

Yuhui Du, Jingyu Liu, Jing Sui, Hao He, Godfrey D. Pearlson, Vince D. Calhoun

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Parallel ICA with multiple references: A semi-blind multivariate approach.

Jiayu Chen, Vince D. Calhoun, Alvaro E. Ulloa, Jingyu Liu

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Guided exploration of genomic risk for gray matter abnormalities in schizophrenia using parallel independent component analysis with reference.

Jiayu Chen, Vince D. Calhoun, Godfrey D. Pearlson, Nora I. Perrone-Bizzozero, Jing Sui, Jessica A. Turner, Juan R. Bustillo, Stefan Ehrlich, Scott R. Sponheim, José M. Cañive, Beng-Choon Ho, Jingyu Liu

NeuroImage, 2013

2012

Erratum to "A large scale multivariate parallel ICA method reveals novel imaging-genetic relationships for Alzheimer's Disease in the ADNI cohort" [Neuroimage 60/3(2012) 1608-1621].

Shashwath A. Meda, Balaji Narayanan, Jingyu Liu, Nora I. Perrone-Bizzozero, Michael C. Stevens, Vince D. Calhoun, David C. Glahn, Li Shen, Shannon L. Risacher, Andrew J. Saykin, Godfrey D. Pearlson

NeuroImage, 2012

A large scale multivariate parallel ICA method reveals novel imaging-genetic relationships for Alzheimer's disease in the ADNI cohort.

Shashwath A. Meda, Balaji Narayanan, Jingyu Liu, Nora I. Perrone-Bizzozero, Michael C. Stevens, Vince D. Calhoun, David C. Glahn, Li Shen, Shannon L. Risacher, Andrew J. Saykin, Godfrey D. Pearlson

NeuroImage, 2012

Multifaceted genomic risk for brain function in schizophrenia.

Jiayu Chen, Vince D. Calhoun, Godfrey D. Pearlson, Stefan Ehrlich, Jessica A. Turner, Beng-Choon Ho, Thomas H. Wassink, Andrew Michael, Jingyu Liu

NeuroImage, 2012

Three-way FMRI-DTI-methylation data fusion based on mCCA+jICA and its application to schizophrenia.

Jing Sui, Hao He, Jingyu Liu, Qingbao Yu, Tülay Adali, Godfrey D. Pearlson, Vince D. Calhoun

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

ICA order selection based on consistency: Application to genotype data.

Jiayu Chen, Vince D. Calhoun, Jingyu Liu

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model.

Jing Sui, Godfrey D. Pearlson, Arvind Caprihan, Tülay Adali, Kent A. Kiehl, Jingyu Liu, Jeremy Yamamoto, Vince D. Calhoun

NeuroImage, 2011

A pipeline for copy number variation detection based on principal component analysis.

Jiayu Chen, Jingyu Liu, David Boutte, Vince D. Calhoun

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

A pilot multivariate parallel ICA study to investigate differential linkage between neural networks and genetic profiles in schizophrenia.

Shashwath A. Meda, Kanchana Jagannathan, Joel Gelernter, Vince D. Calhoun, Jingyu Liu, Michael C. Stevens, Godfrey D. Pearlson

NeuroImage, 2010

Correction of copy number variation data using principal component analysis.

Jiayu Chen, Jingyu Liu, Vince D. Calhoun

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

Sparse canonical correlation analysis applied to fMRI and genetic data fusion.

David Boutte, Jingyu Liu

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009

Genetic determinants of target and novelty-related event-related potentials in the auditory oddball response.

Jingyu Liu, Kent A. Kiehl, Godfrey D. Pearlson, Nora I. Perrone-Bizzozero, Tom Eichele, Vince D. Calhoun

NeuroImage, 2009

Investigation of relationships between fMRI brain networks in the spectral domain using ICA and Granger causality reveals distinct differences between schizophrenia patients and healthy controls.

Oguz Demirci, Michael C. Stevens, Nancy Andreasen, Andrew Michael, Jingyu Liu, Tonya White, Godfrey D. Pearlson, Vincent P. Clark, Vince D. Calhoun

NeuroImage, 2009

A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data.

Vince D. Calhoun, Jingyu Liu, Tülay Adali

NeuroImage, 2009

2008

A Parallel Independent Component Analysis Approach to Investigate Genomic Influence on Brain Function.

Jingyu Liu, Oguz Demirci, Vincent D. Calhoun

IEEE Signal Process. Lett., 2008

Source based morphometry using structural MRI phase images to identify sources of gray matter and white matter relative differences in schizophrenia versus controls.

Lai Xu, Jingyu Liu, Tülay Adali, Vince D. Calhoun

Proceedings of the IEEE International Conference on Acoustics, 2008

A constrained coefficient ica algorithm for group difference enhancement.

Jing Sui, Jingyu Liu, Lei Wu, Andrew Michael, Lai Xu, Tülay Adali, Vince D. Calhoun

Proceedings of the IEEE International Conference on Acoustics, 2008

Extracting principle components for discriminant analysis of FMRI images.

Jingyu Liu, Lai Xu, Arvind Caprihan, Vince D. Calhoun

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Parallel Independent Component Analysis for Multimodal Analysis: Application to FMRI and EEG Data.

Jingyu Liu, Vince D. Calhoun

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006

Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing.

Akaysha C. Tang, Matthew T. Sutherland, Christopher J. McKinney, Jingyu Liu, Yan Wang, Lucas C. Parra, Adam D. Gerson, Paul Sajda

Proceedings of the International Joint Conference on Neural Networks, 2006

A feature-based approach to combine functional MRI, structural MRI and EEG brain imaging data.

Vince D. Calhoun, Tülay Adali, Jingyu Liu

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005

Recovery of correlated neuronal sources from EEG: The good and bad ways of using SOBI.

Akaysha C. Tang, Jingyu Liu, Matthew T. Sutherland

NeuroImage, 2005