Xiaowei Li

发表

A real-time EEG-based BCI system for attention recognition in ubiquitous environment

Quanying Liu, Xiaowei Li, Martyn Ratcliffe, 2011, UAAII '11.

Neural Basis of the Emotional Conflict Processing in Major Depression: ERPs and Source Localization Analysis on the N450 and P300 Components

Xiaowei Li, Yanrong Hao, Jing Zhu, 2018, Front. Hum. Neurosci..

A Study on Depression Detection Using Eye Tracking

Jing Zhu, Xiaowei Li, Shuai Zeng, 2018, HCC.

Effective Connectivity Based EEG Revealing the Inhibitory Deficits for Distracting Stimuli in Major Depression Disorders

Bin Hu, Wei Zhang, Xiaowei Li, 2021, IEEE Transactions on Affective Computing.

The Global Properties of Objects Play the Main Role in Facilitating Multiple Object Tracking Performance

Bin Hu, Xiaowei Li, Xuemin Zhang, 2019, Front. Psychol..

Electroconvulsive Therapy-Induced Changes in Functional Brain Network of Major Depressive Disorder Patients: A Longitudinal Resting-State Electroencephalography Study

B. Hu, Xiaowei Li, Gongying Li, 2022, Frontiers in Human Neuroscience.

A multi-modal open dataset for mental-disorder analysis

J. Yang, Z. Yao, Bin Hu, 2022, Scientific data.

Abnormal Brain Topological Structure of Mild Depression During Visual Search Processing Based on EEG Signals

B. Hu, Xiaowei Li, Shuting Sun, 2022, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

EEG-Based Mild Depressive Detection Using Differential Evolution

Bin Hu, Xiaowei Li, Xiangwei Zheng, 2019, IEEE Access.

A thresholding method based on society modularity and role division for functional connectivity analysis

B. Hu, Xiaowei Li, Junhao Chen, 2022, Journal of neural engineering.

Content-based multiple evidence fusion on EEG and eye movements for mild depression recognition

B. Hu, Xiaowei Li, Jing Zhu, 2022, Comput. Methods Programs Biomed..

Modelling Mental States via Computational Psychophysiology: Benefits and Challenges

Zhijun Yao, Xiaowei Zhang, Xiaowei Li, 2019, HCC.

How Do Humans Perform in Multiple Object Tracking With Unstable Features

Chen Zhao, Bin Hu, Xiaowei Li, 2020, Frontiers in Psychology.

Analysis of functional connectivity in depression based on a weighted hyper-network method

B. Hu, Xiaowei Li, Shuting Sun, 2023, Journal of neural engineering.

EEG Topography and Tomography (sLORETA) in Analysis of Abnormal Brain Region for Mild Depression

Tong Cao, Bin Hu, Jianxiu Li, 2016, BIH.

Attentional bias in MDD: ERP components analysis and classification using a dot-probe task

Jing Zhu, Bin Hu, Ning Zhong, 2018, Comput. Methods Programs Biomed..

Graph Theory Analysis of Functional Connectivity in Major Depression Disorder With High-Density Resting State EEG Data

Jing Zhu, Rong La, Xuemin Zhang, 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

A Deep Learning Approach for Mild Depression Recognition Based on Functional Connectivity Using Electroencephalography

Xiaowei Li, Rong La, Ying Wang, 2020, Frontiers in Neuroscience.

A functional network study of patients with mild depression based on source location

Jing Zhu, Yun Zhang, Shuting Sun, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Abnormal core functional connectivity on the pathology of MDD and antidepressant treatment: A systematic review.

Bin Hu, Xiaowei Li, Junhao Chen, 2021, Journal of affective disorders.

Classification study on eye movement data: Towards a new approach in depression detection

Tong Cao, Bin Hu, Shuting Sun, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Mild Depression Detection of College Students: an EEG-Based Solution with Free Viewing Tasks

Bin Hu, Tingting Xu, Xiaowei Li, 2015, Journal of Medical Systems.

EEG-based mild depression recognition using multi-kernel convolutional and spatial-temporal Feature

Jing Zhu, Xiaowei Li, Jianxiu Li, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Analysis of Functional Brain Network in MDD Based on Improved Empirical Mode Decomposition With Resting State EEG Data

Bin Hu, Xiaowei Li, Jing Zhu, 2021, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Attention Recognition in EEG-Based Affective Learning Research Using CFS+KNN Algorithm

Bin Hu, Shuting Sun, Xiaowei Li, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A study on EEG-based brain electrical source of mild depressed subjects

Bin Hu, Xiaowei Li, Martyn Ratcliffe, 2015, Comput. Methods Programs Biomed..

Emotion Regulating Attentional Control Abnormalities In Major Depressive Disorder: An Event-Related Potential Study

Bin Hu, D. Majoe, Xiaowei Li, 2017, Scientific Reports.

Brain function changes reveal rapid antidepressant effects of nitrous oxide for treatment-resistant depression:Evidence from task-state EEG

Lingjiang Li, B. Hu, Fang Zheng, 2023, Psychiatry Research.

A multi-modal open dataset for mental-disorder analysis pdf

Yiwen Gao, Hong Peng, Qinglin Zhao, 2020, Scientific data.

Multivariate Pattern Analysis of EEG-Based Functional Connectivity: A Study on the Identification of Depression

Jing Zhu, Hong Peng, Xin Zhang, 2019, IEEE Access.

Resting State EEG Based Depression Recognition Research Using Deep Learning Method

Xin Zhang, Jing Zhu, Shuting Sun, 2018, BI.

EEG-based mild depression recognition using convolutional neural network

Xiaowei Li, Rong La, Ying Wang, 2019, Medical & Biological Engineering & Computing.

A Study Based on P300 Component in Single-Trials for Discriminating Depression from Normal Controls

B. Hu, Tao Gong, Wei Zhang, 2020 .

EEG Based Depression Recognition by Combining Functional Brain Network and Traditional Biomarkers

Shuting Sun, Xiaowei Li, Liangliang Liu, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

EEG-based attention recognition

Hong Peng, Philip Moore, Bin Hu, 2011, 2011 6th International Conference on Pervasive Computing and Applications.

Aberrant Static and Dynamic Functional Brain Network in Depression Based on EEG Source Localization

B. Hu, Xiaowei Li, Jianxiu Li, 2022, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Depression recognition using machine learning methods with different feature generation strategies

Jing Zhu, Xin Zhang, Zihan Wang, 2019, Artif. Intell. Medicine.

EEG-based mild depressive detection using feature selection methods and classifiers

Bin Hu, Shuting Sun, Xiaowei Li, 2016, Comput. Methods Programs Biomed..

Attention Bias in Emotional Conflict in Major Depression Disorder: An Eye Tracking Study

Xiaowei Li, Zhijie Ding, Jing Zhu, 2021, 2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM).

An EEG-based study on coherence and brain networks in mild depression cognitive process

Bin Hu, Shuting Sun, Xiaowei Li, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

EEG-based mild depression recognition using convolutional neural network

Xiaowei Li, Jing Zhu, Shuai Zeng, 2019, Medical & Biological Engineering & Computing.

An Improved Classification Model for Depression Detection Using EEG and Eye Tracking Data

Bin Hu, Zihan Wang, Tao Gong, 2020, IEEE Transactions on NanoBioscience.

Toward Depression Recognition Using EEG and Eye Tracking: An Ensemble Classification Model CBEM

Zihan Wang, Xin Zhang, Jing Zhu, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Resting-State Brain Functional Network Study in MDD Based on Minimum Spanning Tree Analysis and the Hierarchical Clustering

Jing Zhu, Bin Hu, Ning Zhong, 2017, Complex..

Mutual Information Based Fusion Model (MIBFM): Mild Depression Recognition Using EEG and Pupil Area Signals

B. Hu, Xiaowei Li, Yizhou Li, 2023, IEEE Transactions on Affective Computing.

Hybrid fusion model based on DBN and secondary classifier: Multimodal mild depression recognition using EEG and eye movement

B. Hu, Xiaowei Li, Jing Zhu, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Personal-Zscore: Eliminating Individual Difference for EEG-based Cross-Subject Emotion Recognition

B. Hu, Xiaowei Li, Jianxiu Li, 2021, IEEE Transactions on Affective Computing.

A Pervasive Stress Monitoring System Based on Biological Signals

Guoqing Zhao, Bin Hu, Chengsheng Mao, 2013, 2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

Emotion Regulating Attentional Control Abnormalities In Major Depressive Disorder: An Event-Related Potential Study

Bin Hu, Jürg Gutknecht, Jianxiu Li, 2017, Scientific Reports.

Clustering-Fusion Feature Selection Method in Identifying Major Depressive Disorder Based on Resting State EEG Signals

B. Hu, Xiaowei Li, Shuting Sun, 2023, IEEE Journal of Biomedical and Health Informatics.

A solution on ubiquitous EEG-based biofeedback music therapy

Li Liu, Qunying Liu, Bin Hu, 2010, 5th International Conference on Pervasive Computing and Applications.

EEG based depression recognition using improved graph convolutional neural network

B. Hu, Xiaowei Li, Junhao Chen, 2022, Comput. Biol. Medicine.

A study of resting-state EEG biomarkers for depression recognition pdf

Xiaowei Li, Bin Hu, Tao Gong, 2020, ArXiv.

A study on visual attention modeling — A linear regression method based on EEG

Bin Hu, Xiaowei Li, Qunxi Dong, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Resting-state dynamic functional connectivity in major depressive disorder: A systematic review

Xiaowei Li, Shuting Sun, Fuze Tian, 2024, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

A Study of Major Depressive Disorder Based on Resting-State Multilayer EEG Function Network

Xiaowei Li, Shuting Sun, Chang Yan, 2024, IEEE Transactions on Computational Social Systems.