Li, Yuanqing

A Hybrid BCI System Combining P300 and SSVEP and Its Application to Wheelchair Control

Li, Y., Pan, J., Wang, F., & Yu, Z. (2013) · IEEE Transactions on Biomedical Engineering

EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Cited by 421

Deep learning based on Batch Normalization for P300 signal detection

Liu, M., Wu, W., Gu, Z., Yu, Z., Qi, F., & Li, Y. (2018) · Neurocomputing

EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Cited by 230

Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation

Zhuang, Z., Li, R., Jia, K., Wang, Q., Li, Y., & Tan, M. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 216

Multimodal BCIs: Target Detection, Multidimensional Control, and Awareness Evaluation in Patients With Disorder of Consciousness

Li, Y., Pan, J., Long, J., Yu, T., Wang, F., Yu, Z., & Wu, W. (2016) · Proceedings of the IEEE

EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Cited by 117

Capsule Network for ERP Detection in Brain-Computer Interface

Ma, R., Yu, T., Zhong, X., Yu, Z. L., Li, Y., & Gu, Z. (2021) · IEEE Transactions on Neural Systems and Rehabilitation Engineering

EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Cited by 47

A comparison study of two P300 speller paradigms for brain–computer interface

Pan, J., Li, Y., Gu, Z., & Yu, Z. (2013) · Cognitive Neurodynamics

EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Cited by 46