Qingshan She

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 36

Top Topics

Feature Selection

Emotion Recognition

Top Venues

Comput. Intell. Neurosci.

Medical Biol. Eng. Comput.

Biomed. Signal Process. Control.

Publications

Junhao Li, Qingshan She, Ming Meng, Shengzhi Du, Yingchun Zhang
Three-stage transfer learning for motor imagery EEG recognition. Medical Biol. Eng. Comput. 62 (6) (2024)
Junhao Li, Qingshan She, Feng Fang, Yun Chen, Yingchun Zhang
Multi-source transfer learning via optimal transport feature ranking for EEG classification. Neurocomputing 596 (2024)
Songkai Sun, Qingshan She, Yuliang Ma, Rihui Li, Yingchun Zhang
LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation. CoRR (2024)
Xinsheng Shi, Qingshan She, Feng Fang, Ming Meng, Tongcai Tan, Yingchun Zhang
Enhancing cross-subject EEG emotion recognition through multi-source manifold metric transfer learning. Comput. Biol. Medicine 174 (2024)
Ming Meng, Zhichao Dong, Yunyuan Gao, Qingshan She
Optimal channel and frequency band-based feature selection for motor imagery electroencephalogram classification. Int. J. Imaging Syst. Technol. 33 (2) (2023)
Yunyuan Gao, Yici Liu, Qingshan She, Jianhai Zhang
Domain Adaptive Algorithm Based on Multi-Manifold Embedded Distributed Alignment for Brain-Computer Interfaces. IEEE J. Biomed. Health Informatics 27 (1) (2023)
Lei Chen, Qingshan She, Ming Meng, Qizhong Zhang, Jianhai Zhang
Similarity constraint style transfer mapping for emotion recognition. Biomed. Signal Process. Control. 80 (Part) (2023)
Qingshan She, Xinsheng Shi, Feng Fang, Yuliang Ma, Yingchun Zhang
Cross-subject EEG emotion recognition using multi-source domain manifold feature selection. Comput. Biol. Medicine 159 (2023)
Jingchao Lin, Qingshan She, Yun Chen
Pulmonary nodule detection based on IR-UNet + +. Medical Biol. Eng. Comput. 61 (2) (2023)
Qingshan She, Chenqi Zhang, Feng Fang, Yuliang Ma, Yingchun Zhang
Multisource Associate Domain Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition. IEEE Trans. Instrum. Meas. 72 (2023)
Xianxiong Zhang, Qingshan She, Tongcai Tan, Yunyuan Gao, Yuliang Ma, Jianhai Zhang
Multi-Source geometric metric transfer learning for EEG classification. Biomed. Signal Process. Control. 81 (2023)
Chujie Wei, Tao Fang, Yingle Fan, Wei Wu, Ming Meng, Qingshan She
Contour detection based on binocular parallax perception mechanism. Signal Image Video Process. 16 (7) (2022)
Bi-Peng Chen, Yun Chen, Guo-Qiang Zeng, Qingshan She
Fractional-order convolutional neural networks with population extremal optimization. Neurocomputing 477 (2022)
Qingshan She, Yinhao Cai, Shengzhi Du, Yun Chen
Multi-source manifold feature transfer learning with domain selection for brain-computer interfaces. Neurocomputing 514 (2022)
Liwei Pan, Yan Wu, Qiuxuan Wu, Hongkun Zhou, Qingshan She, Botao Zhang, Jian Wang, Farong Gao
Analysis and Simulation of Modeling for Transformable Robot Bio-inspired by Mimetic Octopus. ROBIO (2022)
Yukai Zhou, Qingshan She, Yuliang Ma, Wanzeng Kong, Yingchun Zhang
Transfer of semi-supervised broad learning system in electroencephalography signal classification. Neural Comput. Appl. 33 (16) (2021)
Tao Fang, Mingqi Zhang, Yingle Fan, Wei Wu, Haitao Gan, Qingshan She
Developing a feature decoder network with low-to-high hierarchies to improve edge detection. Multim. Tools Appl. 80 (1) (2021)
Qingshan She, Jie Zou, Ming Meng, Yingle Fan, Zhizeng Luo
Balanced Graph-based regularized semi-supervised extreme learning machine for EEG classification. Int. J. Mach. Learn. Cybern. 12 (4) (2021)
Xianxiong Zhang, Qingshan She, Yun Chen, Wanzeng Kong, Congli Mei
Sub-band target alignment common spatial pattern in brain-computer interface. Comput. Methods Programs Biomed. 207 (2021)
Qingshan She, Gaoyuan Mu, Haitao Gan, Yingle Fan
Spatio-temporal SRU with global context-aware attention for 3D human action recognition. Multim. Tools Appl. 79 (17-18) (2020)
Qingshan She, Jie Zou, Zhizeng Luo, Thinh Nguyen, Rihui Li, Yingchun Zhang
Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine. Medical Biol. Eng. Comput. 58 (9) (2020)
Qingshan She, Kang Chen, Zhizeng Luo, Thinh Nguyen, Thomas Potter, Yingchun Zhang
Double-Criteria Active Learning for Multiclass Brain-Computer Interfaces. Comput. Intell. Neurosci. 2020 (2020)
Haitao Gan, Qingshan She, Yuliang Ma, Wei Wu, Ming Meng
Generalization improvement for regularized least squares classification. Neural Comput. Appl. 31 (S-2) (2019)
Qingshan She, Hang Zheng, Tongcai Tan, Botao Zhang, Yingle Fan, Zhizeng Luo
Time-Frequency-Domain Copula-Based Granger Causality and Application to Corticomuscular Coupling in Stroke. Int. J. Humanoid Robotics 16 (4) (2019)
Yuliang Ma, Bin Chen, Rihui Li, Chushan Wang, Jun Wang, Qingshan She, Zhizeng Luo, Yingchun Zhang
Driving Fatigue Detection from EEG Using a Modified PCANet Method. Comput. Intell. Neurosci. 2019 (2019)
Qingshan She, Bo Hu, Zhizeng Luo, Thinh Nguyen, Yingchun Zhang
A hierarchical semi-supervised extreme learning machine method for EEG recognition. Medical Biol. Eng. Comput. 57 (1) (2019)
Mingming Tan, Tao Fang, Yingle Fan, Wei Wu, Qingshan She, Haitao Gan
Image-Dehazing Method Based on the Fusion Coding of Contours and Colors. IEEE Access 7 (2019)
Yueying Cao, Farong Gao, Liling Yu, Qingshan She
Gait Recognition Based on EMG Information with Multiple Features. Intelligent Information Processing (2018)
Jie Zou, Qingshan She, Farong Gao, Ming Meng
Multi-task Motor Imagery EEG Classification Using Broad Learning and Common Spatial Pattern. IFIP TC12 ICIS (2018)
Qingshan She, Bo Hu, Haitao Gan, Yingle Fan, Thinh Nguyen, Thomas Potter, Yingchun Zhang
Safe Semi-Supervised Extreme Learning Machine for EEG Signal Classification. IEEE Access 6 (2018)
Qingshan She, Kang Chen, Yuliang Ma, Thinh Nguyen, Yingchun Zhang
Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification. Comput. Intell. Neurosci. 2018 (2018)
Gaoyuan Mu, Qingshan She, Zhuo Tian, Haitao Gan, Peng Jiang
A multi-task collaborative learning method based on auxiliary training and geometric constraints. ICPS (2018)
Haitao Gan, Zhizeng Luo, Ming Meng, Yuliang Ma, Qingshan She
A risk degree-based safe semi-supervised learning algorithm. Int. J. Mach. Learn. Cybern. 7 (1) (2016)
Yuliang Ma, Xiaohui Ding, Qingshan She, Zhizeng Luo, Tom Potter, Yingchun Zhang
Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization. Comput. Math. Methods Medicine 2016 (2016)
Qingshan She, Yuliang Ma, Ming Meng, Zhizeng Luo
Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification. Comput. Intell. Neurosci. 2015 (2015)
Jianjun Bai, Renquan Lu, Anke Xue, Qingshan She, Zhonghua Shi
Finite-time stability analysis of discrete-time fuzzy Hopfield neural network. Neurocomputing 159 (2015)
Renquan Lu, Hui Li, Anke Xue, Jinchuan Zheng, Qingshan She
Filtering for Different Communication Channels. Circuits Syst. Signal Process. 31 (2) (2012)
Qingshan She, Zhizeng Luo, Ming Meng, Ping Xu
Multiple kernel learning SVM-based EMG pattern classification for lower limb control. ICARCV (2010)
Qingshan She, Zhizeng Luo, Yaping Zhu
Error Resilient Design for Transmission Control in Wireless Networks. ICNC (6) (2009)
Qingshan She, Zhizeng Luo, Yaping Zhu
A Fuzzy Membership Model for FSVR-Based Image Coding. ICNC (2) (2008)