Feature Extraction and Subset Selection for Classifying Single-Trial ECoG during Motor Imagery. - Qingguo Wei; Xiaorong Gao; Shangkai Gao (EMBC, 2006)

Binary multi-objective particle swarm optimization for channel selection in motor imagery based brain-computer interfaces. - Qingguo Wei; Yanmei Wang (BMEI, 2011)

Wavelet packet coefficients weighted for frequency optimization in motor imagery based brain-computer interfaces. - Qingguo Wei; Bin Wan (BMEI, 2011)

Joint selection of time and frequency segments for classifying multiclass EEG data in motor imagery based BCIs. - Renxiang Han; Qingguo Wei (FSKD, 2015)

Maximum Signal Fraction Analysis for Enhancing Signal-to-Noise Ratio of EEG Signals in SSVEP-Based BCIs. - Qingguo Wei; Shan Zhu; Yijun Wang 001; Xiaorong Gao; Hai Guo; Xuan Wu (IEEE Access, 2019)

Transfer Learning Based on Regularized Common Spatial Patterns Using Cosine Similarities of Spatial Filters for Motor-Imagery BCI. - Yilu Xu; Qingguo Wei; Hua Zhang 013; Ronghua Hu; Jizhong Liu; Jing Hua 004; Fumin Guo (J. Circuits Syst. Comput., 2019)

A Training Data-Driven Canonical Correlation Analysis Algorithm for Designing Spatial Filters to Enhance Performance of SSVEP-Based BCIs. - Qingguo Wei; Shan Zhu; Yijun Wang 001; Xiaorong Gao; Hai Guo; Xuan Wu (Int. J. Neural Syst., 2020)

Classification of EEG Signals Based on Filter Bank and Sparse Representation in Motor Imagery Brain-Computer Interfaces. - Jin Wang; Qingguo Wei (J. Circuits Syst. Comput., 2020)

Transfer Learning Based on Hybrid Riemannian and Euclidean Space Data Alignment and Subject Selection in Brain-Computer Interfaces. - Yan Li; Qingguo Wei; Yuebin Chen; Xichen Zhou (IEEE Access, 2021)

Combined Optimization of Frequency Band and Time Segment Using Quantum Particle Swarm Algorithm for Brain-Computer Interfaces. - Lei Zhang; Qingguo Wei; Zongwu Lu (J. Circuits Syst. Comput., 2021)

Combing Multiple Visual Stimuli to Enhance the Performance of VEP-Based Biometrics. - Haomin Qu; Hongze Zhao; Qingguo Wei; Weihua Pei; Xiaorong Gao; Yijun Wang 001 (IEEE Trans. Inf. Forensics Secur., 2024)

A deep learning model combining convolutional neural networks and a selective kernel mechanism for SSVEP-Based BCIs. - Shengwei Huang; Qingguo Wei (Comput. Biol. Medicine, 2025)