A Fuzzy Membership Model for FSVR-Based Image Coding. - Qingshan She; Zhizeng Luo; Yaping Zhu (ICNC (2), 2008)

Error Resilient Design for Transmission Control in Wireless Networks. - Qingshan She; Zhizeng Luo; Yaping Zhu (ICNC (6), 2009)

Multiple kernel learning SVM-based EMG pattern classification for lower limb control. - Qingshan She; Zhizeng Luo; Ming Meng; Ping Xu (ICARCV, 2010)

Quantized H∞ Filtering for Different Communication Channels. - Renquan Lu; Hui Li; Anke Xue; Jinchuan Zheng; Qingshan She (Circuits Syst. Signal Process., 2012)

Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification. - Qingshan She; Yuliang Ma 002; Ming Meng; Zhizeng Luo (Comput. Intell. Neurosci., 2015)

Finite-time stability analysis of discrete-time fuzzy Hopfield neural network. - Jianjun Bai; Renquan Lu; Anke Xue; Qingshan She; Zhonghua Shi (Neurocomputing, 2015)

Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization. - Yuliang Ma 002; Xiaohui Ding; Qingshan She; Zhizeng Luo; Tom Potter 001; Yingchun Zhang (Comput. Math. Methods Medicine, 2016)

A risk degree-based safe semi-supervised learning algorithm. - Haitao Gan; Zhizeng Luo; Ming Meng; Yuliang Ma 002; Qingshan She (Int. J. Mach. Learn. Cybern., 2016)

A multi-task collaborative learning method based on auxiliary training and geometric constraints. - Gaoyuan Mu; Qingshan She; Zhuo Tian; Haitao Gan; Peng Jiang (ICPS, 2018)

Gait Recognition Based on EMG Information with Multiple Features. - Yueying Cao; Farong Gao; Liling Yu; Qingshan She (IIP, 2018)

Multi-task Motor Imagery EEG Classification Using Broad Learning and Common Spatial Pattern. - Jie Zou; Qingshan She; Farong Gao; Ming Meng (ICIS, 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)

Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification. - Qingshan She; Kang Chen; Yuliang Ma 002; Thinh Nguyen; Yingchun Zhang (Comput. Intell. Neurosci., 2018)

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)

Driving Fatigue Detection from EEG Using a Modified PCANet Method. - Yuliang Ma 002; Bin Chen; Rihui Li; Chushan Wang; Jun Wang; Qingshan She; Zhizeng Luo; Yingchun Zhang (Comput. Intell. Neurosci., 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)

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)

Generalization improvement for regularized least squares classification. - Haitao Gan; Qingshan She; Yuliang Ma 002; Wei Wu; Ming Meng (Neural Comput. Appl., 2019)

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)

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)

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)

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)

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)

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)

Transfer of semi-supervised broad learning system in electroencephalography signal classification. - Yukai Zhou; Qingshan She; Yuliang Ma 002; Wanzeng Kong; Yingchun Zhang (Neural Comput. Appl., 2021)

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 027; Farong Gao (ROBIO, 2022)

Fractional-order convolutional neural networks with population extremal optimization. - Bi-Peng Chen; Yun Chen; Guo-Qiang Zeng; Qingshan She (Neurocomputing, 2022)

Multi-source manifold feature transfer learning with domain selection for brain-computer interfaces. - Qingshan She; Yinhao Cai; Shengzhi Du; Yun Chen (Neurocomputing, 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)

Similarity constraint style transfer mapping for emotion recognition. - Lei Chen; Qingshan She; Ming Meng; Qizhong Zhang; Jianhai Zhang (Biomed. Signal Process. Control., 2023)

Multisource Associate Domain Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition. - Qingshan She; Chenqi Zhang; Feng Fang; Yuliang Ma 002; Yingchun Zhang (IEEE Trans. Instrum. Meas., 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)

Pulmonary nodule detection based on IR-UNet + +. - Jingchao Lin; Qingshan She; Yun Chen (Medical Biol. Eng. Comput., 2023)

Multi-Source geometric metric transfer learning for EEG classification. - Xianxiong Zhang; Qingshan She; Tongcai Tan; Yunyuan Gao; Yuliang Ma 002; Jianhai Zhang (Biomed. Signal Process. Control., 2023)

Optimal channel and frequency band-based feature selection for motor imagery electroencephalogram classification. - Ming Meng; Zhichao Dong 002; Yunyuan Gao; Qingshan She (Int. J. Imaging Syst. Technol., 2023)

Cross-subject EEG emotion recognition using multi-source domain manifold feature selection. - Qingshan She; Xinsheng Shi; Feng Fang; Yuliang Ma 002; Yingchun Zhang (Comput. Biol. Medicine, 2023)

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)

Multi-source transfer learning via optimal transport feature ranking for EEG classification. - Junhao Li; Qingshan She; Feng Fang; Yun Chen; Yingchun Zhang (Neurocomputing, 2024)

Three-stage transfer learning for motor imagery EEG recognition. - Junhao Li; Qingshan She; Ming Meng; Shengzhi Du; Yingchun Zhang (Medical Biol. Eng. Comput., 2024)

Lesion boundary detection for skin lesion segmentation based on boundary sensing and CNN-transformer fusion networks. - Xuzhen Huang; Yuliang Ma 002; Xiajin Mei; Zizhuo Wu; Mingxu Sun; Qingshan She (Artif. Intell. Medicine, 2025)

EFDFNet: A multimodal deep fusion network based on feature disentanglement for attention state classification. - Haiqi Xu; Qingshan She; Ming Meng; Yunyuan Gao; Yingchun Zhang (Biomed. Signal Process. Control., 2025)

Dual filtration subdomain adaptation network for cross-subject EEG emotion recognition. - Qingshan She; Yipeng Li; Yun Chen; Ming Meng; Su Liu; Yingchun Zhang (Neurocomputing, 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)

LUCF-Net: Lightweight U-Shaped Cascade Fusion Network for Medical Image Segmentation. - Qingshan She; Songkai Sun; Yuliang Ma 002; Rihui Li; Yingchun Zhang (IEEE J. Biomed. Health Informatics, 2025)

Discriminative Adversarial Network Based on Spatial-Temporal-Graph Fusion for Motor Imagery Recognition. - Qingshan She; Tie Chen; Feng Fang; Yunyuan Gao; Yingchun Zhang (IEEE Trans. Comput. Soc. Syst., 2025)

Improved Few-Shot Learning Based on Triplet Metric for Motor Imagery EEG Classification. - Qingshan She; Chengjun Li; Tongcai Tan; Feng Fang; Yingchun Zhang (IEEE Trans. Cogn. Dev. Syst., 2025)