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ORCIDQingshan She
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2020 – today
- 2024
[j32]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: 108445 (2024)- [j31]Junhao Li, Qingshan She, Feng Fang, Yun Chen, Yingchun Zhang:
Multi-source transfer learning via optimal transport feature ranking for EEG classification. Neurocomputing 596: 127944 (2024) - [j30]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): 1689-1701 (2024) - [i1]Songkai Sun, Qingshan She, Yuliang Ma, Rihui Li, Yingchun Zhang:
LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation. CoRR abs/2404.07473 (2024) - 2023
- [j29]Lei Chen, Qingshan She, Ming Meng, Qizhong Zhang, Jianhai Zhang:
Similarity constraint style transfer mapping for emotion recognition. Biomed. Signal Process. Control. 80(Part): 104314 (2023) - [j28]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: 104435 (2023) - [j27]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: 106860 (2023) - [j26]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): 670-679 (2023) - [j25]Jingchao Lin, Qingshan She, Yun Chen:
Pulmonary nodule detection based on IR-UNet + +. Medical Biol. Eng. Comput. 61(2): 485-495 (2023) - [j24]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: 1-12 (2023) - [j23]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): 296-307 (2023) - 2022
- [j22]Bi-Peng Chen, Yun Chen, Guo-Qiang Zeng, Qingshan She:
Fractional-order convolutional neural networks with population extremal optimization. Neurocomputing 477: 36-45 (2022) - [j21]Qingshan She, Yinhao Cai, Shengzhi Du, Yun Chen:
Multi-source manifold feature transfer learning with domain selection for brain-computer interfaces. Neurocomputing 514: 313-327 (2022) - [j20]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): 1935-1943 (2022) - [c7]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: 2183-2188 - 2021
- [j19]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: 106150 (2021) - [j18]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): 903-916 (2021) - [j17]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): 1611-1624 (2021) - [j16]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): 10597-10613 (2021) - 2020
- [j15]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: 3287589:1-3287589:13 (2020) - [j14]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): 2119-2130 (2020) - [j13]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): 12349-12371 (2020)
2010 – 2019
- 2019
- [j12]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: 147857-147871 (2019) - [j11]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: 4721863:1-4721863:9 (2019) - [j10]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): 1950018:1-1950018:18 (2019) - [j9]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): 147-157 (2019) - [j8]Haitao Gan, Qingshan She, Yuliang Ma, Wei Wu, Ming Meng:
Generalization improvement for regularized least squares classification. Neural Comput. Appl. 31(S-2): 1045-1051 (2019) - 2018
- [j7]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: 49399-49407 (2018) - [j6]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: 9593682:1-9593682:9 (2018) - [c6]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: 79-84 - [c5]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: 3-10 - [c4]Yueying Cao, Farong Gao, Liling Yu, Qingshan She:
Gait Recognition Based on EMG Information with Multiple Features. Intelligent Information Processing 2018: 402-411 - 2016
- [j5]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: 4941235:1-4941235:8 (2016) - [j4]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): 85-94 (2016) - 2015
- [j3]Qingshan She, Yuliang Ma, Ming Meng, Zhizeng Luo:
Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification. Comput. Intell. Neurosci. 2015: 251945:1-251945:9 (2015) - [j2]Jianjun Bai, Renquan Lu, Anke Xue, Qingshan She, Zhonghua Shi:
Finite-time stability analysis of discrete-time fuzzy Hopfield neural network. Neurocomputing 159: 263-267 (2015) - 2012
- [j1]Renquan Lu, Hui Li, Anke Xue, Jinchuan Zheng, Qingshan She:
Quantized H∞ Filtering for Different Communication Channels. Circuits Syst. Signal Process. 31(2): 501-519 (2012) - 2010
- [c3]Qingshan She, Zhizeng Luo, Ming Meng, Ping Xu:
Multiple kernel learning SVM-based EMG pattern classification for lower limb control. ICARCV 2010: 2109-2113
2000 – 2009
- 2009
- [c2]Qingshan She, Zhizeng Luo, Yaping Zhu:
Error Resilient Design for Transmission Control in Wireless Networks. ICNC (6) 2009: 124-128 - 2008
- [c1]Qingshan She, Zhizeng Luo, Yaping Zhu:
A Fuzzy Membership Model for FSVR-Based Image Coding. ICNC (2) 2008: 8-12
Coauthor Index
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