Yuhui Du

62 papers B 6C 2Misc 1Journal 26Unranked 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
A graph transformer-based foundation model for brain functional connectivity network.
Pattern Recognit.
Yulong Wang, Vince D. Calhoun, Godfrey D. Pearlson, Peter V. Kochunov, Theo G. M. van Erp, Yuhui Du
2026 J jnl
Group Information Guided Smooth Independent Component Analysis Method for Multi-Subject fMRI Data Analysis.
IEEE J. Biomed. Health Informatics
Yuhui Du, Chen Huang, Vince D. Calhoun
2025 — conf
A Model Order-Free Method for Stable States Extraction in Dynamic Functional Connectivity.
MICCAI (12)
Songke Fang, Vince D. Calhoun, Godfrey D. Pearlson, Peter V. Kochunov, Theo G. M. van Erp, Yuhui Du
2025 — conf
A New Noisy Label Learning Method for Accurate Brain Age Prediction.
ISBI
Yuhui Du, Ruotong Li, Zheng Wang, Vince D. Calhoun
2025 J jnl
A cross-feature mutual learning framework integrating multiple features for brain disorder diagnosis.
Neurocomputing
Xiangxiang Cui, Min Zhao, Dongmei Zhi, Aichen Feng, Yuhui Du, Vince D. Calhoun, Jing Sui
2025 — conf
AMT-SNet: Adaptive Multi Scale Temporal-Spectral Network for Single-Channel EEG Sleep Stage Classification.
PRCV (18)
Yutong Zheng, Ruiying Wang, Hanyu Wang, Yuhui Du
2025 J jnl
Joint consensus kernel learning and adaptive hypergraph regularization for graph-based clustering.
Inf. Sci.
Ju Niu, Yuhui Du
2025 C conf
Learning to Optimize Low-Latency Live Streaming from Expertise: An Offline Meta-Reinforcement Learning Approach.
VCIP
Yuhui Du, Nuowen Kan, Chenglin Li, Junni Zou, Ziyang Zheng, Shaohui Li, Wenrui Dai, Qingli Li, Hongkai Xiong
2025 — conf
Multi-subject Orthogonal Sparse Matrix Decomposition Method for Extracting Individual Brain Functional Networks.
MICCAI (7)
Xingyu He, Vince D. Calhoun, Theo G. M. van Erp, Yuhui Du
2025 J jnl
Mutualistic Multi-Network Noisy Label Learning (MMNNLL) Method and Its Application to Transdiagnostic Classification of Bipolar Disorder and Schizophrenia.
IEEE Trans. Medical Imaging
Yuhui Du, Zheng Wang, Ju Niu, Yulong Wang, Godfrey D. Pearlson, Vince D. Calhoun
2024 B conf
Are Abstract Relational Roles Encoded Visually? Evidence from Priming Effects.
CogSci
Alexander A. Petrov, Yuhui Du
2024 J jnl
Cepstral Analysis-Based Artifact Detection, Recognition, and Removal for Prefrontal EEG.
IEEE Trans. Circuits Syst. II Express Briefs
Siqi Han, Chao Zhang, Jiaxin Lei, Qingquan Han, Yuhui Du, Anhe Wang, Shuo Bai, Milin Zhang
2024 J jnl
Class-agnostic counting and localization with feature augmentation and scale-adaptive aggregation.
Knowl. Based Syst.
Chao Zhai, Yuhui Du, Hong Qu, Tianlei Wang, Fan Zhang, Mingsheng Fu, Wenyu Chen
2024 — conf
Design of a PPG-Based Respiratory Sensor.
ICM
Yuhui Du, Chao Sun, Yuan Ma, Shuan Liu, Milin Zhang
2024 J jnl
Local-structure-preservation and redundancy-removal-based feature selection method and its application to the identification of biomarkers for schizophrenia.
NeuroImage
Ying Xing, Godfrey D. Pearlson, Peter V. Kochunov, Vince D. Calhoun, Yuhui Du
2024 J jnl
Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities.
NeuroImage
Zening Fu, Ishaan Batta, Lei Wu, Anees Abrol, Oktay Agcaoglu, Mustafa S. Salman, Yuhui Du, Armin Iraji, Sarah Shultz, Jing Sui, Vince D. Calhoun
2023 — conf
A Novel Method for Multi-subject fMRI Data Analysis: Independent Component Analysis with Clustering Embedded (ICA-CE).
EMBC
Yuhui Du, Wenchao Zhu, Yuduo Zhang
2023 J jnl
A Novel Neighborhood Rough Set-Based Feature Selection Method and Its Application to Biomarker Identification of Schizophrenia.
IEEE J. Biomed. Health Informatics
Ying Xing, Peter V. Kochunov, Theo G. M. van Erp, Tianzhou Ma, Vince D. Calhoun, Yuhui Du
2023 J jnl
A new method for mining information of gut microbiome with probabilistic topic models.
Multim. Tools Appl.
Xin Xiong, Minrui Li, Yuyan Ren, Xusheng Yao, Yuhui Du, Qingsong Huang, Xiangyang Kong, Jianfeng He
2023 — conf
An Adaptive Semi-Supervised Deep Clustering and Its Application to Identifying Biotypes of Psychiatric Disorders.
ISBI
Yuhui Du, Fulin Wu, Ju Niu, Vince D. Calhoun
2023 — conf
Design of a Two-Channel Forehead PPG Sensor.
BioCAS
Yuhui Du, Chao Sun, Milin Zhang, Songping Mai
2023 J jnl
Disrupted Dynamic Functional Network Connectivity Among Cognitive Control Networks in the Progression of Alzheimer's Disease.
Brain Connect.
Mohammad S. Eslampanah Sendi, Elaheh Zendehrouh, Zening Fu, Jingyu Liu, Yuhui Du, Elizabeth Mormino, David H. Salat, Vince D. Calhoun, Robyn L. Miller
2023 — conf
How Does Aging Affect Whole-brain Functional Network Connectivity? Evidence from An ICA Method.
EMBC
Yuhui Du, Yating Guo, Vince D. Calhoun
2023 J jnl
IABC: A Toolbox for Intelligent Analysis of Brain Connectivity.
Neuroinformatics
Yuhui Du, Yanshu Kong, Xingyu He
2022 J jnl
An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data.
Medical Image Anal.
Min Zhao, Weizheng Yan, Na Luo, Dongmei Zhi, Zening Fu, Yuhui Du, Shan Yu, Tianzi Jiang, Vince D. Calhoun, Jing Sui
2022 B conf
Exaggeration of Stimulus Attributes in the Representation of Relational Categories.
CogSci
Yuhui Du, John E. Hummel, Alexander A. Petrov
2021 — conf
A New Hypergraph Clustering Method For Exploring Transdiagnostic Biotypes In Mental Illnesses: Application To Schizophrenia And Psychotic Bipolar Disorder.
ISBI
Yuhui Du, Ju Niu, Vince D. Calhoun
2021 — conf
A New Semi-Supervised Non-Negative Matrix Factorization Method For Brain Dynamic Functional Connectivity Analysis.
ISBI
Yuhui Du, Xingyu He, Vince D. Calhoun
2021 — conf
A Transdiagnostic Biotype Detection Method for Schizophrenia and Autism Spectrum Disorder Based on Graph Kernel.
EMBC
Yuhui Du, Hui Hao, Ying Xing, Ju Niu, Vince D. Calhoun
2021 B conf
Probing the Mental Representation of Relation-Defined Categories.
CogSci
Yuhui Du, John E. Hummel, Alexander A. Petrov
2021 — conf
SMART (splitting-merging assisted reliable) Independent Component Analysis for Brain Functional Networks.
EMBC
Yuhui Du, Xingyu He, Vince D. Calhoun
2021 C conf
Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis.
BIBE
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
2020 — conf
A deep learning fusion model for brain disorder classification: Application to distinguishing schizophrenia and autism spectrum disorder.
BCB
Yuhui Du, Bang Li, Yuliang Hou, Vince D. Calhoun
2019 B conf
Modeling Causal Learning with the Linear Ballistic Accumulator.
CogSci
Yuhui Du, Nitisha Desai, Renlai Zhou
2019 — conf
Multimodal Data Fusion of Deep Learning and Dynamic Functional Connectivity Features to Predict Alzheimer's Disease Progression.
EMBC
Anees Abrol, Zening Fu, Yuhui Du, Vince D. Calhoun
2019 — conf
Prediction of Progression to Alzheimer's disease with Deep InfoMax.
BHI
Alex Fedorov, R. Devon Hjelm, Anees Abrol, Zening Fu, Yuhui Du, Sergey M. Plis, Vince D. Calhoun
2019 J jnl
Prediction of Progression to Alzheimer's disease with Deep InfoMax.
CoRR
Alex Fedorov, R. Devon Hjelm, Anees Abrol, Zening Fu, Yuhui Du, Sergey M. Plis, Vince D. Calhoun
2019 J jnl
Transient Patterns of Functional Dysconnectivity in Clinical High Risk and Early Illness Schizophrenia Individuals Compared with Healthy Controls.
Brain Connect.
Eva Mennigen, Susanna Fryer, Barnaly Rashid, Eswar Damaraju, Yuhui Du, Rachel L. Loewy, Barbara Stuart, Vince D. Calhoun, Daniel H. Mathalon
2019 J jnl
Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism.
NeuroImage
Zening Fu, Yiheng Tu, Xin Di, Yuhui Du, Jing Sui, Bharat B. Biswal, Zhiguo Zhang, Nina de Lacy, Vincent D. Calhoun
2018 — conf
Abnormal Dynamic Functional Network Connectivity and Graph Theoretical Analysis in Major Depressive Disorder.
EMBC
Dongmei Zhi, Xiaohong Ma, Luxian Lv, Qing Ke, Yongfeng Yang, Xiao Yang, Miao Pan, Shile Qi, Rongtao Jiang, Yuhui Du, Qingbao Yu, Vince D. Calhoun, Tianzi Jiang, Jing Sui
2018 J jnl
Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs.
Proc. IEEE
Qingbao Yu, Yuhui Du, Jiayu Chen, Jing Sui, Tülay Adali, Godfrey D. Pearlson, Vince D. Calhoun
2018 J jnl
Characterizing dynamic amplitude of low-frequency fluctuation and its relationship with dynamic functional connectivity: An application to schizophrenia.
NeuroImage
Zening Fu, Yiheng Tu, Xin Di, Yuhui Du, Godfrey D. Pearlson, Jessica A. Turner, Bharat B. Biswal, Zhiguo Zhang, Vince D. Calhoun
2018 J jnl
Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis.
NeuroImage
Yuhui Du, Susanna Fryer, Zening Fu, Dongdong Lin, Jing Sui, Jiayu Chen, Eswar Damaraju, Eva Mennigen, Barbara Stuart, Rachel L. Loewy, Daniel H. Mathalon, Vince D. Calhoun
2018 J jnl
Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia.
IEEE Trans. Medical Imaging
Shile Qi, Vince D. Calhoun, Theo G. M. van Erp, Juan R. Bustillo, Eswar Damaraju, Jessica A. Turner, Yuhui Du, Jian Yang, Jiayu Chen, Qingbao Yu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Tianzi Jiang, Jing Sui
2017 — conf
Group information guided ICA shows more sensitivity to group differences than dual-regression.
ISBI
Mustafa S. Salman, Yuhui Du, Eswar Damaraju, Qiu-Hua Lin, Vince D. Calhoun
2017 Misc conf
Identifying FMRI dynamic connectivity states using affinity propagation clustering method: Application to schizophrenia.
ICASSP
Mustafa S. Salman, Yuhui Du, Vince D. Calhoun
2017 J jnl
Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data.
NeuroImage
Xing Meng, Rongtao Jiang, Dongdong Lin, Juan R. Bustillo, Thomas R. Jones, Jiayu Chen, Qingbao Yu, Yuhui Du, Yu Zhang, Tianzi Jiang, Jing Sui, Vince D. Calhoun
2017 — conf
Predicting individualized intelligence quotient scores using brainnetome-atlas based functional connectivity.
MLSP
Rongtao Jiang, Shile Qi, Yuhui Du, Weizheng Yan, Vince D. Calhoun, Tianzi Jiang, Jing Sui
2016 — conf
Supervised multimodal fusion and its application in searching joint neuromarkers of working memory deficits in schizophrenia.
EMBC
Shile Qi, Vince D. Calhoun, Theo G. M. van Erp, Eswar Damaraju, Juan R. Bustillo, Yuhui Du, Jessica A. Turner, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, First Birn, Tianzi Jiang, Jing Sui
2015 J jnl
A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders.
NeuroImage
Yuhui Du, Godfrey D. Pearlson, Jingyu Liu, Jing Sui, Qingbao Yu, Hao He, Eduardo Castro, Vince D. Calhoun
2015 J jnl
Assessing dynamic brain graphs of time-varying connectivity in fMRI data: Application to healthy controls and patients with schizophrenia.
NeuroImage
Qingbao Yu, Erik B. Erhardt, Jing Sui, Yuhui Du, Hao He, R. Devon Hjelm, Mustafa S. Çetin, Srinivas Rachakonda, Robyn L. Miller, Godfrey D. Pearlson, Vince D. Calhoun
2015 — conf
Dynamic default mode network connectivity diminished in patients with schizophrenia.
ISBI
Yuhui Du, Hao He, Lei Wu, Qingbao Yu, Jing Sui, Vince D. Calhoun
2015 — conf
Identifying brain dynamic network states via GIG-ICA: Application to schizophrenia, bipolar and schizoaffective disorders.
ISBI
Yuhui Du, Godfrey D. Pearlson, Hao He, Lei Wu, Jiayu Chen, Vince D. Calhoun
2015 — conf
Resting fMRI measures are associated with cognitive deficits in schizophrenia assessed by the MATRICS consensus cognitive battery.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Hao He, Juan R. Bustillo, Yuhui Du, Qingbao Yu, Thomas R. Jones, Tianzi Jiang, Vince D. Calhoun, Jing Sui
2014 — conf
Brain functional networks extraction based on fMRI artifact removal: Single subject and group approaches.
EMBC
Yuhui Du, Elena A. Allen, Hao He, Jing Sui, Vince D. Calhoun
2014 — conf
Combination of FMRI-SMRI-EEG data improves discrimination of schizophrenia patients by ensemble feature selection.
EMBC
Jing Sui, Eduardo Castro, Hao He, David A. Bridwell, Yuhui Du, Godfrey D. Pearlson, Tianzi Jiang, Vince D. Calhoun
2014 — conf
Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks.
EMBC
Yuhui Du, Jingyu Liu, Jing Sui, Hao He, Godfrey D. Pearlson, Vince D. Calhoun
2014 — conf
Semi-supervised learning of brain functional networks.
ISBI
Yuhui Du, Jing Sui, Qingbao Yu, Hao He, Vince D. Calhoun
2013 J jnl
Group information guided ICA for fMRI data analysis.
NeuroImage
Yuhui Du, Yong Fan
2013 J jnl
Groupwise spatial normalization of fMRI data based on multi-range functional connectivity patterns.
NeuroImage
Di Jiang, Yuhui Du, Hewei Cheng, Tianzi Jiang, Yong Fan
2012 B conf
Identification of subject specific and functional consistent ROIs using semi-supervised learning.
Image Processing
Yuhui Du, Hongming Li, Hong Wu, Yong Fan
2012 B conf
fMRI alignment based on local functional connectivity patterns.
Image Processing
Di Jiang, Yuhui Du, Hewei Cheng, Tianzi Jiang, Yong Fan