Inferring User Search Intention Based on Situation Analysis of the Physical World. - Zhu Wang 001; Xingshe Zhou 001; Zhiwen Yu 001; Yanbin He; Daqing Zhang 001 (UIC, 2010)

An audiovisual BCI system for assisting clinical communication assessment in patients with disorders of consciousness: A case study. - Fei Wang 026; Yanbin He; Jun Qu; Qiuyou Xie; Qing Lin; Xiaoxiao Ni; Yan Chen; Ronghao Yu; Chin-Teng Lin; Yuanqing Li 001 (EMBC, 2016)

A novel BCI based on 3D stereo stimuli and its application for clinical object recognition assessment. - Fei Wang 026; Yalin Liu; Yuan Cao; Jun Qu; Yanbin He; Ronghao Yu; Yuanqing Li 001 (GlobalSIP, 2017)

Research on Computer Network Information Security and Protection Countermeasure in Big Data Era. - Jiyan He; Yanbin He (DPTA, 2019)

An EEG-Based Brain Computer Interface for Emotion Recognition and Its Application in Patients with Disorder of Consciousness. - Haiyun Huang; Qiuyou Xie; Jiahui Pan; Yanbin He; Zhenfu Wen; Ronghao Yu; Yuanqing Li 001 (IEEE Trans. Affect. Comput., 2021)

Dynamic Bi-Colored Graph Partitioning. - Yanbin He; Mario Coutino; Elvin Isufi; Geert Leus (EUSIPCO, 2022)

A Channel Attention Based MLP-Mixer Network for Motor Imagery Decoding With EEG. - Yanbin He; Zhiyang Lu; Jun Wang 024; Jun Shi 004 (ICASSP, 2022)

Structure-Aware Sparse Bayesian Learning-Based Channel Estimation for Intelligent Reflecting Surface-Aided MIMO. - Yanbin He; Geethu Joseph (ICASSP, 2023)

Multiple Scale Convolutional Few-Shot Learning Networks for Online P300-Based Brain-Computer Interface and Its Application to Patients With Disorder of Consciousness. - Jiahui Pan; Honghua Cai; Haiyun Huang; Yanbin He; Yuanqing Li 001 (IEEE Trans. Instrum. Meas., 2023)

ST-SCGNN: A Spatio-Temporal Self-Constructing Graph Neural Network for Cross-Subject EEG-Based Emotion Recognition and Consciousness Detection. - Jiahui Pan; Rongming Liang; Zhipeng He 001; Jingcong Li; Yan Liang; Xinjie Zhou; Yanbin He; Yuanqing Li 001 (IEEE J. Biomed. Health Informatics, 2024)

Deep Neural Networks for Automatic Sleep Stage Classification and Consciousness Assessment in Patients With Disorder of Consciousness. - Jiahui Pan; Yangzuyi Yu; Jianhui Wu; Xinjie Zhou; Yanbin He; Yuanqing Li 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Kronecker-structured Sparse Vector Recovery with Application to IRS-MIMO Channel Estimation. - Yanbin He; Geethu Joseph (ICASSP, 2025)

On the Restricted Isometry Property of Kronecker-structured Matrices. - Yanbin He; Geethu Joseph (ICASSP, 2025)

Bayesian Algorithms for Kronecker-Structured Sparse Vector Recovery With Application to IRS-MIMO Channel Estimation. - Yanbin He; Geethu Joseph (IEEE Trans. Signal Process., 2025)

Efficient Off-Grid Bayesian Parameter Estimation for Kronecker-Structured Signals. - Yanbin He; Geethu Joseph (IEEE Trans. Signal Process., 2025)

A Multimodal Consistency-Based Self-Supervised Contrastive Learning Framework for Automated Sleep Staging in Patients With Disorders of Consciousness. - Jiahui Pan; Yangzuyi Yu; Man Li; Wanxin Wei; Shuyu Chen; Heyi Zheng; Yanbin He; Yuanqing Li 001 (IEEE J. Biomed. Health Informatics, 2025)