Qingshan She

According to our database, Qingshan She authored at least 41 papers between 2008 and 2025.

Collaborative distances:

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

2025

Domain generalization through latent distribution exploration for motor imagery EEG classification.

Hao Song, Qingshan She, Feng Fang, Su Liu, Yun Chen, Yingchun Zhang

Neurocomputing, 2025

2024

Three-stage transfer learning for motor imagery EEG recognition.

Junhao Li, Qingshan She, Ming Meng, Shengzhi Du, Yingchun Zhang

Medical Biol. Eng. Comput., June, 2024

Multi-source transfer learning via optimal transport feature ranking for EEG classification.

Junhao Li, Qingshan She, Feng Fang, Yun Chen, Yingchun Zhang

Neurocomputing, 2024

LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation.

Songkai Sun, Qingshan She, Yuliang Ma, Rihui Li, Yingchun Zhang

CoRR, 2024

Enhancing cross-subject EEG emotion recognition through multi-source manifold metric transfer learning.

Xinsheng Shi, Qingshan She, Feng Fang, Ming Meng, Tongcai Tan, Yingchun Zhang

Comput. Biol. Medicine, 2024

2023

Cross-subject EEG emotion recognition using multi-source domain manifold feature selection.

Qingshan She, Xinsheng Shi, Feng Fang, Yuliang Ma, Yingchun Zhang

Comput. Biol. Medicine, June, 2023

Optimal channel and frequency band-based feature selection for motor imagery electroencephalogram classification.

Ming Meng, Zhichao Dong, Yunyuan Gao, Qingshan She

Int. J. Imaging Syst. Technol., March, 2023

Multi-Source geometric metric transfer learning for EEG classification.

Xianxiong Zhang, Qingshan She, Tongcai Tan, Yunyuan Gao, Yuliang Ma, Jianhai Zhang

Biomed. Signal Process. Control., March, 2023

Pulmonary nodule detection based on IR-UNet + +.

Jingchao Lin, Qingshan She, Yun Chen

Medical Biol. Eng. Comput., February, 2023

Domain Adaptive Algorithm Based on Multi-Manifold Embedded Distributed Alignment for Brain-Computer Interfaces.

Yunyuan Gao, Yici Liu, Qingshan She, Jianhai Zhang

IEEE J. Biomed. Health Informatics, 2023

Multisource Associate Domain Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition.

Qingshan She, Chenqi Zhang, Feng Fang, Yuliang Ma, Yingchun Zhang

IEEE Trans. Instrum. Meas., 2023

Similarity constraint style transfer mapping for emotion recognition.

Lei Chen, Qingshan She, Ming Meng, Qizhong Zhang, Jianhai Zhang

Biomed. Signal Process. Control., 2023

2022

Contour detection based on binocular parallax perception mechanism.

Chujie Wei, Tao Fang, Yingle Fan, Wei Wu, Ming Meng, Qingshan She

Signal Image Video Process., 2022

Multi-source manifold feature transfer learning with domain selection for brain-computer interfaces.

Qingshan She, Yinhao Cai, Shengzhi Du, Yun Chen

Neurocomputing, 2022

Fractional-order convolutional neural networks with population extremal optimization.

Bi-Peng Chen, Yun Chen, Guo-Qiang Zeng, Qingshan She

Neurocomputing, 2022

Analysis and Simulation of Modeling for Transformable Robot Bio-inspired by Mimetic Octopus.

Liwei Pan, Yan Wu, Qiuxuan Wu, Hongkun Zhou, Qingshan She, Botao Zhang, Jian Wang, Farong Gao

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

2021

Transfer of semi-supervised broad learning system in electroencephalography signal classification.

Yukai Zhou, Qingshan She, Yuliang Ma, Wanzeng Kong, Yingchun Zhang

Neural Comput. Appl., 2021

Developing a feature decoder network with low-to-high hierarchies to improve edge detection.

Tao Fang, Mingqi Zhang, Yingle Fan, Wei Wu, Haitao Gan, Qingshan She

Multim. Tools Appl., 2021

Balanced Graph-based regularized semi-supervised extreme learning machine for EEG classification.

Qingshan She, Jie Zou, Ming Meng, Yingle Fan, Zhizeng Luo

Int. J. Mach. Learn. Cybern., 2021

Sub-band target alignment common spatial pattern in brain-computer interface.

Xianxiong Zhang, Qingshan She, Yun Chen, Wanzeng Kong, Congli Mei

Comput. Methods Programs Biomed., 2021

2020

Spatio-temporal SRU with global context-aware attention for 3D human action recognition.

Qingshan She, Gaoyuan Mu, Haitao Gan, Yingle Fan

Multim. Tools Appl., 2020

Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine.

Qingshan She, Jie Zou, Zhizeng Luo, Thinh Nguyen, Rihui Li, Yingchun Zhang

Medical Biol. Eng. Comput., 2020

Double-Criteria Active Learning for Multiclass Brain-Computer Interfaces.

Qingshan She, Kang Chen, Zhizeng Luo, Thinh Nguyen, Thomas Potter, Yingchun Zhang

Comput. Intell. Neurosci., 2020

2019

Generalization improvement for regularized least squares classification.

Haitao Gan, Qingshan She, Yuliang Ma, Wei Wu, Ming Meng

Neural Comput. Appl., 2019

A hierarchical semi-supervised extreme learning machine method for EEG recognition.

Qingshan She, Bo Hu, Zhizeng Luo, Thinh Nguyen, Yingchun Zhang

Medical Biol. Eng. Comput., 2019

Time-Frequency-Domain Copula-Based Granger Causality and Application to Corticomuscular Coupling in Stroke.

Qingshan She, Hang Zheng, Tongcai Tan, Botao Zhang, Yingle Fan, Zhizeng Luo

Int. J. Humanoid Robotics, 2019

Driving Fatigue Detection from EEG Using a Modified PCANet Method.

Yuliang Ma, Bin Chen, Rihui Li, Chushan Wang, Jun Wang, Qingshan She, Zhizeng Luo, Yingchun Zhang

Comput. Intell. Neurosci., 2019

Image-Dehazing Method Based on the Fusion Coding of Contours and Colors.

Mingming Tan, Tao Fang, Yingle Fan, Wei Wu, Qingshan She, Haitao Gan

IEEE Access, 2019

2018

Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification.

Qingshan She, Kang Chen, Yuliang Ma, Thinh Nguyen, Yingchun Zhang

Comput. Intell. Neurosci., 2018

Safe Semi-Supervised Extreme Learning Machine for EEG Signal Classification.

Qingshan She, Bo Hu, Haitao Gan, Yingle Fan, Thinh Nguyen, Thomas Potter, Yingchun Zhang

IEEE Access, 2018

Multi-task Motor Imagery EEG Classification Using Broad Learning and Common Spatial Pattern.

Jie Zou, Qingshan She, Farong Gao, Ming Meng

Proceedings of the Intelligence Science II, 2018

Gait Recognition Based on EMG Information with Multiple Features.

Yueying Cao, Farong Gao, Liling Yu, Qingshan She

Proceedings of the Intelligent Information Processing IX, 2018

A multi-task collaborative learning method based on auxiliary training and geometric constraints.

Gaoyuan Mu, Qingshan She, Zhuo Tian, Haitao Gan, Peng Jiang

Proceedings of the IEEE Industrial Cyber-Physical Systems, 2018

2016

A risk degree-based safe semi-supervised learning algorithm.

Haitao Gan, Zhizeng Luo, Ming Meng, Yuliang Ma, Qingshan She

Int. J. Mach. Learn. Cybern., 2016

Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization.

Yuliang Ma, Xiaohui Ding, Qingshan She, Zhizeng Luo, Tom Potter, Yingchun Zhang

Comput. Math. Methods Medicine, 2016

2015

Finite-time stability analysis of discrete-time fuzzy Hopfield neural network.

Jianjun Bai, Renquan Lu, Anke Xue, Qingshan She, Zhonghua Shi

Neurocomputing, 2015

Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification.

Qingshan She, Yuliang Ma, Ming Meng, Zhizeng Luo

Comput. Intell. Neurosci., 2015

2012

Quantized H_∞ Filtering for Different Communication Channels.

Renquan Lu, Hui Li, Anke Xue, Jinchuan Zheng, Qingshan She

Circuits Syst. Signal Process., 2012

2010

Multiple kernel learning SVM-based EMG pattern classification for lower limb control.

Qingshan She, Zhizeng Luo, Ming Meng, Ping Xu

Proceedings of the 11th International Conference on Control, 2010

2009

Error Resilient Design for Transmission Control in Wireless Networks.

Qingshan She, Zhizeng Luo, Yaping Zhu

Proceedings of the Fifth International Conference on Natural Computation, 2009

2008

A Fuzzy Membership Model for FSVR-Based Image Coding.

Qingshan She, Zhizeng Luo, Yaping Zhu

Proceedings of the Fourth International Conference on Natural Computation, 2008