Feifei Qi

According to our database, Feifei Qi authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder-Decoder Network.

Gexin Huang, Ke Liu, Jiawen Liang, Chang Cai, Zhenghui Gu, Feifei Qi, Yuanqing Li, Zhu Liang Yu, Wei Wu

IEEE Trans. Neural Networks Learn. Syst., May, 2024

2023

Sparse Bayesian Learning for End-to-End EEG Decoding.

Wenlong Wang, Feifei Qi, David Paul Wipf, Chang Cai, Tianyou Yu, Yuanqing Li, Yu Zhang, Zhuliang Yu, Wei Wu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

A novel semi-supervised meta learning method for subject-transfer brain-computer interface.

Jingcong Li, Fei Wang, Haiyun Huang, Feifei Qi, Jiahui Pan

Neural Networks, 2023

EEG Extended Source Imaging with Variation Sparsity and L_p-Norm Constraint.

Shu Peng, Feifei Qi, Hong Yu, Ke Liu

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022

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

2021

Spatiotemporal-Filtering-Based Channel Selection for Single-Trial EEG Classification.

Feifei Qi, Wei Wu, Zhu Liang Yu, Zhenghui Gu, Zhenfu Wen, Tianyou Yu, Yuanqing Li

IEEE Trans. Cybern., 2021

Simple to complex dictionary learning for action recognition.

Fang Liu, Feifei Qi, Xiaofen Xing, Kailing Guo

Proceedings of the ACAI 2021: 4th International Conference on Algorithms, Computing and Artificial Intelligence, Sanya, China, December 22, 2021

2020

Electromagnetic Source Imaging via a Data-Synthesis-Based Denoising Autoencoder.

Gexin Huang, Zhu Liang Yu, Wei Wu, Ke Liu, Zhenghui Gu, Feifei Qi, Yuanqing Li, Jiawen Liang

CoRR, 2020

EEG-Based Emotion Recognition Using Convolutional Neural Network with Functional Connections.

Hongbo Wang, Ke Liu, Feifei Qi, Xin Deng, Peiyang Li

Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020

A Logistic Regression Based Framework for Spatio-Temporal Feature Representation and Classification of Single-Trial EEG.

Feifei Qi, Wei Wu, Ke Liu, Tianyou Yu, Yang Cao

Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020

2018

Deep learning based on Batch Normalization for P300 signal detection.

Mingfei Liu, Wei Wu, Zhenghui Gu, Zhuliang Yu, Feifei Qi, Yuanqing Li

Neurocomputing, 2018

Study on the effect of artefact rejection on BCI performance.

Junjie Zhong, Feifei Qi

Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

Complex Network Analysis Of Resting State Electroencephalography in Stroke.

Jiayu Qiu, Wei Wu, Feifei Qi, Baiquan Zeng, Yi Guo, Ge Dang

Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

2017

An Algorithm Combining Spatial Filtering and Temporal Down-Sampling with Applications to ERP Feature Extraction.

Feifei Qi, Yuanqing Li, Zhenfu Wen, Wei Wu

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2015

RSTFC: A Novel Algorithm for Spatio-Temporal Filtering and Classification of Single-Trial EEG.

Feifei Qi, Yuanqing Li, Wei Wu

IEEE Trans. Neural Networks Learn. Syst., 2015