Improving Individual Identification in Security Check with an EEG Based Biometric Solution. - Qinglin Zhao; Hong Peng 003; Bin Hu 001; Quanying Liu; Li Liu 001; Yanbing Qi; Lanlan Li (Brain Informatics, 2010)

Towards an Efficient and Accurate EEG Data Analysis in EEG-Based Individual Identification. - Qinglin Zhao; Hong Peng 003; Bin Hu 001; Lanlan Li; Yanbing Qi; Quanying Liu; Li Liu 001 (UIC, 2010)

Improve Affective Learning with EEG Approach. - Xiaowei Li 005; Qinglin Zhao; Bin Hu 001; Li Liu 001; Hong Peng 003; Yanbing Qi; Chengsheng Mao; Zheng Fang; Quanying Liu (Comput. Informatics, 2010)

A Real-Time Electroencephalogram (EEG) Based Individual Identification Interface for Mobile Security in Ubiquitous Environment. - Bin Hu 001; Quanying Liu; Qinglin Zhao; Yanbing Qi; Hong Peng 003 (APSCC, 2011)

User-centered depression prevention: An EEG approach to pervasive healthcare. - Hong Peng 003; Bin Hu 001; Quanying Liu; Qunxi Dong; Qinglin Zhao; Philip Moore 001 (PervasiveHealth, 2011)

An improved EEG de-noising approach in electroencephalogram (EEG) for home care. - Hong Peng 003; Bin Hu 001; Yanbing Qi; Qinglin Zhao; Martyn Ratcliffe (PervasiveHealth, 2011)

EEG-Based Cognitive Interfaces for Ubiquitous Applications: Developments and Challenges. - Bin Hu 001; Dennis Majoe; Martyn Ratcliffe; Yanbing Qi; Qinglin Zhao; Hong Peng 003; Dangping Fan; Fang Zheng 004; Mike Jackson 001; Philip Moore 001 (IEEE Intell. Syst., 2011)

A Low Cost Ergonomic EEG Sensor for Predicting Mental Illness. - Dennis Majoe; Jürg Gutknecht; Hong Peng 003 (HEALTHINF, 2012)

The removal of ocular artifactsfrom EEG signals: An adaptive modeling technique for portable applications. - Yang Li 010; Bin Hu 001; Qinglin Zhao; Hong Peng 003; Yujun Shi; Yunpeng Li; Philip Moore 001 (BIBM, 2013)

A Humanoid Robot Used as an Assistive Intervention Tool for Children with Autism Spectrum Disorder: A Preliminary Research. - Mingqi Zhao; Qinglin Zhao; Quanying Liu; Na Li; Hong Peng 003; Bin Hu 001 (Brain and Health Informatics, 2013)

A study on validity of cortical alpha connectivity for schizophrenia. - Hong Peng 003; Bin Hu 001; Lanlan Li; Martyn Ratcliffe; Jingwei Zhai; Qinglin Zhao; Qiuxia Shi; Yunpeng Li; Quanying Liu (EMBC, 2013)

Investigation of Chronic Stress Differences between Groups Exposed to Three Stressors and Normal Controls by Analyzing EEG Recordings. - Na Li; Bin Hu 001; Jing Chen 002; Hong Peng 003; Qinglin Zhao; Mingqi Zhao (ICONIP (2), 2013)

A method of identifying chronic stress by EEG. - Hong Peng 003; Bin Hu 001; Fang Zheng 004; Dangping Fan; Wen Zhao; Xuebin Chen; Yongxia Yang; Qingcui Cai (Pers. Ubiquitous Comput., 2013)

Removal of Ocular Artifacts in EEG - An Improved Approach Combining DWT and ANC for Portable Applications. - Hong Peng 003; Bin Hu 001; Qiuxia Shi; Martyn Ratcliffe; Qinglin Zhao; Yanbing Qi; Guoping Gao (IEEE J. Biomed. Health Informatics, 2013)

Artifacts Reduction Method in EEG Signals with Wavelet Transform and Adaptive Filter. - Rui Huang; Fei Heng; Bin Hu 001; Hong Peng 003; Qinglin Zhao; Qiuxia Shi; Jun Han (Brain Informatics and Health, 2014)

The Research of Depression Based on Power Spectrum. - Ming-Hou Sun; Qinglin Zhao; Bin Hu 001; Yan Chen; Lijuan Xu; Hong Peng 003 (BIH, 2015)

A method of removing Ocular Artifacts from EEG using Discrete Wavelet Transform and Kalman Filtering. - Yan Chen; Qinglin Zhao; Bin Hu 001; Jianpeng Li; Hua Jiang; Wenhua Lin; Yang Li 010; Shuangshuang Zhou; Hong Peng 003 (BIBM, 2016)

An ERP Study of Attentional Bias to Drug Cues in Heroin Dependence by Using Dot-Probe Task. - Zhijie Wei; Hanshu Cai; Qinglin Zhao; Quanli Han; Entan Ma; Guosheng Zhao; Hong Peng 003 (HCC, 2016)

Single-trial classification of fNIRS signal measured from prefrontal cortex during four directions motor imagery tasks. - Hong Peng 003; Jinlong Chao; Yongzong Wang; Bin Hu 001; Dennis Majoe (BIBM, 2017)

Stability study of the optimal channel selection for emotion classification from EEG. - Hong Peng 003; Yongzong Wang; Jinlong Chao; Xiaoning Huo; Dennis Majoe (BIBM, 2017)

Wearable EEG-Based Real-Time System for Depression Monitoring. - Shengjie Zhao; Qinglin Zhao; Xiaowei Zhang 001; Hong Peng 003; Zhijun Yao; Jian Shen 004; Yuan Yao 015; Hua Jiang; Bin Hu 001 (BI, 2017)

Risky Decision-Making in Abstinent Heroin Addicts: an ERP Study. - Bin Hu 001; Qinglin Zhao; Shuangshuang Zhou; Hong Peng 003; Quanying Liu (ICBBT, 2017)

Research on the Classification and Channel Selection of Emotional EEG. - Jie Dang; Sirui Wang; Cancheng Li; Yongzong Wang; Hong Peng 003 (HCC, 2018)

Cognition-Based Context-Aware Cloud Computing for Intelligent Robotic Systems in Mobile Education. - Jianbo Zheng; Qieshi Zhang; Shihao Xu; Hong Peng 003; Qin Wu (IEEE Access, 2018)

Multivariate Pattern Analysis of EEG-Based Functional Connectivity: A Study on the Identification of Depression. - Hong Peng 003; Chen Xia; Zihan Wang; Jing Zhu 003; Xin Zhang 034; Shuting Sun; Jianxiu Li; Xiaoning Huo; Xiaowei Li 005 (IEEE Access, 2019)

Mobile crowdsourcing based context-aware smart alarm sound for smart living. - Jiaqi Wang; Yanxiang Guo; Wenhan Han; Jianbo Zheng; Hong Peng 003; Xiping Hu; Jun Cheng 002 (Pervasive Mob. Comput., 2019)

Feature-level Fusion for Depression Recognition Based on fNIRS Data. - Shuzhen Zheng; Chang Lei; Tao Wang 049; Chunyun Wu; Jieqiong Sun; Hong Peng 003 (BIBM, 2020)

A Novel Gait Analysis Method Based on The Pseudo-Velocity Model for Depression Detection. - Tao Wang 049; Jieqiong Sun; Jinlong Chao; Shuzhen Zheng; Chengjian Zhao; Chunyun Wu; Hong Peng 003 (HealthCom, 2020)

F-score Based EEG Channel Selection Methods for Emotion Recognition. - Chengjian Zhao; Cancheng Li; Jinlong Chao; Tao Wang 049; Chang Lei; Juan Liu; Hong Peng 003 (HealthCom, 2020)

MODMA dataset: a Multi-model Open Dataset for Mental-disorder Analysis. - Hanshu Cai; Yiwen Gao 006; Shuting Sun; Na Li; Fuze Tian; Han Xiao; Jianxiu Li; Zhengwu Yang; Xiaowei Li 005; Qinglin Zhao; Zhenyu Liu 006; Zhijun Yao; et al. (CoRR, 2020)

Seizure Onset Detection Using Common Spatial Pattern and Discriminative Log-Euclidean Kernel-Based Gaussian Process. - Chang Lei; Dixin Wang; Jinlong Chao; Xuan Zhang; Shuzhen Zheng; Hongtong Wu; Hong Peng 003 (BIBM, 2021)

Identification of Depression with a Semi-supervised GCN based on EEG Data. - Dixin Wang; Chang Lei; Xuan Zhang; Hongtong Wu; Shuzhen Zheng; Jinlong Chao; Hong Peng 003 (BIBM, 2021)

Automatic epileptic seizure detection via Stein kernel-based sparse representation. - Hong Peng 003; Chang Lei; Shuzhen Zheng; Chengjian Zhao; Chunyun Wu; Jieqiong Sun; Bin Hu 001 (Comput. Biol. Medicine, 2021)

A novel automatic classification detection for epileptic seizure based on dictionary learning and sparse representation. - Hong Peng 003; Cancheng Li; Jinlong Chao; Tao Wang 049; Chengjian Zhao; Xiaoning Huo; Bin Hu 001 (Neurocomputing, 2021)

Attention-Based Multilevel Co-Occurrence Graph Convolutional LSTM for 3-D Action Recognition. - Shihao Xu; Haocong Rao; Hong Peng 003; Xin Jiang 004; Yi Guo 007; Xiping Hu; Bin Hu 001 (IEEE Internet Things J., 2021)

Filterable sample consensus based on angle variance for pupil segmentation. - Jitao Zhong; Dixin Wang; Hongtong Wu; Peng Wang; Minqiang Yang; Hong Peng 003; Bin Hu 001 (Digit. Signal Process., 2022)

Abnormal Attentional Bias of Non-Drug Reward in Abstinent Heroin Addicts: An ERP Study. - Yanrong Hao; Yonghui Li; Jianxiu Li; Hong Peng 003; Qinglin Zhao; Bin Hu 001 (IEEE Trans. Affect. Comput., 2022)

A Hybrid Classification to Detect Abstinent Heroin-Addicted Individuals Using EEG Microstates. - Juan Wang; Ru Peng; Quanying Liu; Hong Peng 003 (IEEE Trans. Comput. Soc. Syst., 2022)

Epileptic Seizure Detection in EEG Signals Using Discriminative Stein Kernel-Based Sparse Representation. - Chang Lei; Shuzhen Zheng; Xuan Zhang; Dixin Wang; Hongtong Wu; Hong Peng 003; Bin Hu 001 (IEEE Trans. Instrum. Meas., 2022)

Robust discriminant feature extraction for automatic depression recognition. - Jitao Zhong; Zhengyang Shan; Xuan Zhang; Haifeng Lu; Hong Peng 003; Bin Hu 001 (Biomed. Signal Process. Control., 2023)

Feature extraction based on sparse graphs embedding for automatic depression detection. - Jitao Zhong; Wenyan Du; Lu Zhang; Hong Peng 003; Bin Hu 001 (Biomed. Signal Process. Control., 2023)

Vigilance estimation using truncated l1 distance kernel-based sparse representation regression with physiological signals. - Xuan Zhang; Dixin Wang; Hongtong Wu; Jinlong Chao; Jitao Zhong; Hong Peng 003; Bin Hu 001 (Comput. Methods Programs Biomed., 2023)

A hybrid SVM and kernel function-based sparse representation classification for automated epilepsy detection in EEG signals. - Quanhong Wang; Weizhuang Kong; Jitao Zhong; Zhengyang Shan; Juan Wang; Xiaowei Li 005; Hong Peng 003; Bin Hu 001 (Neurocomputing, 2023)

Exploratory Cross-Frequency Coupling and Scaling Analysis of Neuronal Oscillations Stimulated by Emotional Images: An Evidence From EEG. - Jinlong Chao; Shuzhen Zheng; Chang Lei; Hong Peng 003; Bin Hu 001 (IEEE Trans. Cogn. Dev. Syst., 2023)

Robust sparse graph regularized nonnegative matrix factorization for automatic depression diagnosis. - Lu Zhang; Jitao Zhong; Quanhong Wang; Jinzhou Zhu; Hele Liu; Hong Peng 003; Bin Hu 001 (Biomed. Signal Process. Control., 2024)

Spatio-temporal scale information fusion of Functional Near-Infrared Spectroscopy signal for depression detection. - Jitao Zhong; Guangzhi Ma; Lu Zhang; Quanhong Wang; Shi Qiao 006; Hong Peng 003; Bin Hu 001 (Knowl. Based Syst., 2024)

Exploring functional near-infrared spectroscopy and transfer learning for discriminating major depressive disorder and generalized anxiety disorder. - Hele Liu; Jinzhou Zhu; Jitao Zhong; Shi Qiao 006; Lu Zhang; Jiangang Li; Bin Hu 001; Sujie Ma; Hong Peng 003 (Biomed. Signal Process. Control., 2025)

Robust semi-supervised extraction of information using functional near-infrared spectroscopy for diagnosing depression. - Shi Qiao 006; Jitao Zhong; Lu Zhang; Hele Liu; Jiangang Li; Hong Peng 003; Bin Hu 001 (Biomed. Signal Process. Control., 2025)

Locality-constrained robust discriminant non-negative matrix factorization for depression detection: An fNIRS study. - Yushan Wu; Jitao Zhong; Lu Zhang; Hele Liu; Shuai Shao; Bin Hu 001; Hong Peng 003 (Neurocomputing, 2025)

Fusing spatio-temporal information using supervised local low-rank correlation embedding for depression recognition. - Lu Zhang; Peng Xu; Zhijun Yao; Xinyan Zhang; Juan Wang; Bin Hu 001; Gang Feng; Hong Peng 003 (Neurocomputing, 2025)

Sparse discriminant manifold projections for automatic depression recognition. - Lu Zhang; Jitao Zhong; Qinglin Zhao; Shi Qiao 006; Yushan Wu; Bin Hu 001; Sujie Ma; Hong Peng 003 (Neurocomputing, 2025)

Soft fusion of channel information in depression detection using functional near-infrared spectroscopy. - Jitao Zhong; Yushan Wu; Hele Liu; Jinlong Chao; Bin Hu 001; Sujie Ma; Hong Peng 003 (Inf. Process. Manag., 2025)