RSTFC: A Novel Algorithm for Spatio-Temporal Filtering and Classification of Single-Trial EEG. - Feifei Qi; Yuanqing Li 001; Wei Wu 022 (IEEE Trans. Neural Networks Learn. Syst., 2015)

An Algorithm Combining Spatial Filtering and Temporal Down-Sampling with Applications to ERP Feature Extraction. - Feifei Qi; Yuanqing Li 001; Zhenfu Wen; Wei Wu 022 (ICONIP (2), 2017)

Complex Network Analysis Of Resting State Electroencephalography in Stroke. - Jiayu Qiu; Wei Wu 022; Feifei Qi; Baiquan Zeng; Yi Guo; Ge Dang (DSP, 2018)

Study on the effect of artefact rejection on BCI performance. - Junjie Zhong; Feifei Qi (DSP, 2018)

Deep learning based on Batch Normalization for P300 signal detection. - Mingfei Liu; Wei Wu 022; Zhenghui Gu; Zhuliang Yu; Feifei Qi; Yuanqing Li 001 (Neurocomputing, 2018)

A Logistic Regression Based Framework for Spatio-Temporal Feature Representation and Classification of Single-Trial EEG. - Feifei Qi; Wei Wu 022; Ke Liu 008; Tianyou Yu; Yang Cao (ICCSIP, 2020)

EEG-Based Emotion Recognition Using Convolutional Neural Network with Functional Connections. - Hongbo Wang; Ke Liu 008; Feifei Qi; Xin Deng 003; Peiyang Li (ICCSIP, 2020)

Electromagnetic Source Imaging via a Data-Synthesis-Based Denoising Autoencoder. - Gexin Huang; Zhu Liang Yu; Wei Wu 022; Ke Liu 008; Zhenghui Gu; Feifei Qi; Yuanqing Li 001; Jiawen Liang (CoRR, 2020)

Simple to complex dictionary learning for action recognition. - Fang Liu 030; Feifei Qi; Xiaofen Xing; Kailing Guo (ACAI, 2021)

Spatiotemporal-Filtering-Based Channel Selection for Single-Trial EEG Classification. - Feifei Qi; Wei Wu 022; Zhu Liang Yu; Zhenghui Gu; Zhenfu Wen; Tianyou Yu; Yuanqing Li 001 (IEEE Trans. Cybern., 2021)

Multiple graph fusion based on Riemannian geometry for motor imagery classification. - Xiaofeng Xie; Xiaokun Zou; Tianyou Yu; Rongnian Tang; Yao Hou; Feifei Qi (Appl. Intell., 2022)

EEG Extended Source Imaging with Variation Sparsity and Lp-Norm Constraint. - Shu Peng; Feifei Qi; Hong Yu 007; Ke Liu 008 (CICAI (2), 2023)

A novel semi-supervised meta learning method for subject-transfer brain-computer interface. - Jingcong Li; Fei Wang 026; Haiyun Huang; Feifei Qi; Jiahui Pan (Neural Networks, 2023)

Sparse Bayesian Learning for End-to-End EEG Decoding. - Wenlong Wang; Feifei Qi; David Paul Wipf; Chang Cai; Tianyou Yu; Yuanqing Li 001; Yu Zhang 009; Zhuliang Yu; Wei Wu 022 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder-Decoder Network. - Gexin Huang; Ke Liu 008; Jiawen Liang; Chang Cai; Zhenghui Gu; Feifei Qi; Yuanqing Li 001; Zhu Liang Yu; Wei Wu 022 (IEEE Trans. Neural Networks Learn. Syst., 2024)

EEG-Based Cross-Subject Emotion Recognition Using Sparse Bayesian Learning With Enhanced Covariance Alignment. - Wenlong Wang; Feifei Qi; Weichen Huang; Yuanqing Li 001; Zhuliang Yu; Wei Wu 022 (IEEE Trans. Affect. Comput., 2025)