Yanbin He

20 papers C 1Misc 4Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
A Hierarchical View of Structured Sparsity in Kronecker Compressive Sensing.
EUSIPCO
Yanbin He, Geethu Joseph
2025 J jnl
A Multimodal Consistency-Based Self-Supervised Contrastive Learning Framework for Automated Sleep Staging in Patients With Disorders of Consciousness.
IEEE J. Biomed. Health Informatics
Jiahui Pan, Yangzuyi Yu, Man Li, Wanxin Wei, Shuyu Chen, Heyi Zheng, Yanbin He, Yuanqing Li
2025 J jnl
Bayesian Algorithms for Kronecker-Structured Sparse Vector Recovery With Application to IRS-MIMO Channel Estimation.
IEEE Trans. Signal Process.
Yanbin He, Geethu Joseph
2025 J jnl
Efficient Off-Grid Bayesian Parameter Estimation for Kronecker-Structured Signals.
IEEE Trans. Signal Process.
Yanbin He, Geethu Joseph
2025 J jnl
EmotionMIL: An End-to-End Multiple Instance Learning Framework for Emotion Recognition From EEG Signals.
IEEE Trans. Affect. Comput.
Jun Xiao, Feifei Qi, Lingli Wang, Yanbin He, Jingang Yu, Wei Wu, Zhuliang Yu, Yuanqing Li, Zhenghui Gu, Tianyou Yu
2025 Misc conf
Kronecker-structured Sparse Vector Recovery with Application to IRS-MIMO Channel Estimation.
ICASSP
Yanbin He, Geethu Joseph
2025 J jnl
Multi-View Self-Supervised Learning Enhances Automatic Sleep Staging From EEG Signals.
IEEE Trans. Biomed. Eng.
Tianyou Yu, Xinxin Hu, Yanbin He, Wei Wu, Zhenghui Gu, Zhuliang Yu, Yuanqing Li, Fei Wang, Jun Xiao
2025 Misc conf
On the Restricted Isometry Property of Kronecker-structured Matrices.
ICASSP
Yanbin He, Geethu Joseph
2024 J jnl
Deep Neural Networks for Automatic Sleep Stage Classification and Consciousness Assessment in Patients With Disorder of Consciousness.
IEEE Trans. Cogn. Dev. Syst.
Jiahui Pan, Yangzuyi Yu, Jianhui Wu, Xinjie Zhou, Yanbin He, Yuanqing Li
2024 J jnl
ST-SCGNN: A Spatio-Temporal Self-Constructing Graph Neural Network for Cross-Subject EEG-Based Emotion Recognition and Consciousness Detection.
IEEE J. Biomed. Health Informatics
Jiahui Pan, Rongming Liang, Zhipeng He, Jingcong Li, Yan Liang, Xinjie Zhou, Yanbin He, Yuanqing Li
2023 J jnl
Multiple Scale Convolutional Few-Shot Learning Networks for Online P300-Based Brain-Computer Interface and Its Application to Patients With Disorder of Consciousness.
IEEE Trans. Instrum. Meas.
Jiahui Pan, Honghua Cai, Haiyun Huang, Yanbin He, Yuanqing Li
2023 Misc conf
Structure-Aware Sparse Bayesian Learning-Based Channel Estimation for Intelligent Reflecting Surface-Aided MIMO.
ICASSP
Yanbin He, Geethu Joseph
2022 Misc conf
A Channel Attention Based MLP-Mixer Network for Motor Imagery Decoding With EEG.
ICASSP
Yanbin He, Zhiyang Lu, Jun Wang, Jun Shi
2022 — conf
Dynamic Bi-Colored Graph Partitioning.
EUSIPCO
Yanbin He, Mario Coutino, Elvin Isufi, Geert Leus
2021 J jnl
A channel attention based MLP-Mixer network for motor imagery decoding with EEG.
CoRR
Yanbin He, Zhiyang Lu, Jun Wang, Jun Shi
2021 J jnl
An EEG-Based Brain Computer Interface for Emotion Recognition and Its Application in Patients with Disorder of Consciousness.
IEEE Trans. Affect. Comput.
Haiyun Huang, Qiuyou Xie, Jiahui Pan, Yanbin He, Zhenfu Wen, Ronghao Yu, Yuanqing Li
2019 — conf
Research on Computer Network Information Security and Protection Countermeasure in Big Data Era.
DPTA
Jiyan He, Yanbin He
2017 — conf
A novel BCI based on 3D stereo stimuli and its application for clinical object recognition assessment.
GlobalSIP
Fei Wang, Yalin Liu, Yuan Cao, Jun Qu, Yanbin He, Ronghao Yu, Yuanqing Li
2016 — conf
An audiovisual BCI system for assisting clinical communication assessment in patients with disorders of consciousness: A case study.
EMBC
Fei Wang, Yanbin He, Jun Qu, Qiuyou Xie, Qing Lin, Xiaoxiao Ni, Yan Chen, Ronghao Yu, Chin-Teng Lin, Yuanqing Li
2010 C conf
Inferring User Search Intention Based on Situation Analysis of the Physical World.
UIC
Zhu Wang, Xingshe Zhou, Zhiwen Yu, Yanbin He, Daqing Zhang