Qingshan She - RankMe

53 papers C 2Journal 46Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Few-Shot Strip Steel Surface Defect Segmentation via Pre-Trained Variational Auto-Encoder-Based Latent Gaussian Process Regression. IEEE Trans. Image Process. Xiaofei Zhou, Xuan Wang, Gongyang Li, Deyang Liu, Qingshan She, Xiaobin Xu, Runmin Cong
2026	J	`jnl`	GMCDA: Graph-Based Multisource Conditional Distribution Domain Adaptation Network for EEG Recognition of Emotions. IEEE Trans. Hum. Mach. Syst. Qingshan She, Senda Gao, Chenqi Zhang, Feng Fang, Jian Wang, Anton A. Zhilenkov, Yingchun Zhang
2026	J	`jnl`	SAMGCN: A self-adaptive multilevel graph convolutional network for motor imagery classification. Biomed. Signal Process. Control. Ming Meng, Peiqi Yu, Shuaibin Zhang, Feng Fang, Yuliang Ma, Qingshan She, Yingchun Zhang
2025	J	`jnl`	3D hand pose estimation based on lightweight CNN and separable self-attention vision transformer. Signal Image Video Process. Tianpei Jin, Qingshan She, Qixiang Wang, Qiang Chen, Xiaofei Zhou
2025	J	`jnl`	Auxiliary classifier adversarial networks with maximum subdomain discrepancy for EEG-based emotion recognition. Medical Biol. Eng. Comput. Zhaowen Xiao, Qingshan She, Feng Fang, Ming Meng, Yingchun Zhang
2025	J	`jnl`	Discriminative Adversarial Network Based on Spatial-Temporal-Graph Fusion for Motor Imagery Recognition. IEEE Trans. Comput. Soc. Syst. Qingshan She, Tie Chen, Feng Fang, Yunyuan Gao, Yingchun Zhang
2025	J	`jnl`	Domain generalization through latent distribution exploration for motor imagery EEG classification. Neurocomputing Hao Song, Qingshan She, Feng Fang, Su Liu, Yun Chen, Yingchun Zhang
2025	J	`jnl`	Dual filtration subdomain adaptation network for cross-subject EEG emotion recognition. Neurocomputing Qingshan She, Yipeng Li, Yun Chen, Ming Meng, Su Liu, Yingchun Zhang
2025	J	`jnl`	Dynamic sparse directed graph convolutional network with attention mechanisms for EEG emotion recognition. Neurocomputing Kaiwei Shen, Qingshan She, Xiaoli Yang, Yunyuan Gao, Yingle Fan
2025	J	`jnl`	EFDFNet: A multimodal deep fusion network based on feature disentanglement for attention state classification. Biomed. Signal Process. Control. Haiqi Xu, Qingshan She, Ming Meng, Yunyuan Gao, Yingchun Zhang
2025	J	`jnl`	Improved Few-Shot Learning Based on Triplet Metric for Motor Imagery EEG Classification. IEEE Trans. Cogn. Dev. Syst. Qingshan She, Chengjun Li, Tongcai Tan, Feng Fang, Yingchun Zhang
2025	J	`jnl`	LUCF-Net: Lightweight U-Shaped Cascade Fusion Network for Medical Image Segmentation. IEEE J. Biomed. Health Informatics Qingshan She, Songkai Sun, Yuliang Ma, Rihui Li, Yingchun Zhang
2025	J	`jnl`	Lesion boundary detection for skin lesion segmentation based on boundary sensing and CNN-transformer fusion networks. Artif. Intell. Medicine Xuzhen Huang, Yuliang Ma, Xiajin Mei, Zizhuo Wu, Mingxu Sun, Qingshan She
2024	J	`jnl`	Enhancing cross-subject EEG emotion recognition through multi-source manifold metric transfer learning. Comput. Biol. Medicine Xinsheng Shi, Qingshan She, Feng Fang, Ming Meng, Tongcai Tan, Yingchun Zhang
2024	J	`jnl`	LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation. CoRR Songkai Sun, Qingshan She, Yuliang Ma, Rihui Li, Yingchun Zhang
2024	J	`jnl`	Multi-source transfer learning via optimal transport feature ranking for EEG classification. Neurocomputing Junhao Li, Qingshan She, Feng Fang, Yun Chen, Yingchun Zhang
2024	J	`jnl`	Three-stage transfer learning for motor imagery EEG recognition. Medical Biol. Eng. Comput. Junhao Li, Qingshan She, Ming Meng, Shengzhi Du, Yingchun Zhang
2023	J	`jnl`	Cross-subject EEG emotion recognition using multi-source domain manifold feature selection. Comput. Biol. Medicine Qingshan She, Xinsheng Shi, Feng Fang, Yuliang Ma, Yingchun Zhang
2023	J	`jnl`	Domain Adaptive Algorithm Based on Multi-Manifold Embedded Distributed Alignment for Brain-Computer Interfaces. IEEE J. Biomed. Health Informatics Yunyuan Gao, Yici Liu, Qingshan She, Jianhai Zhang
2023	J	`jnl`	Multi-Source geometric metric transfer learning for EEG classification. Biomed. Signal Process. Control. Xianxiong Zhang, Qingshan She, Tongcai Tan, Yunyuan Gao, Yuliang Ma, Jianhai Zhang
2023	J	`jnl`	Multisource Associate Domain Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition. IEEE Trans. Instrum. Meas. Qingshan She, Chenqi Zhang, Feng Fang, Yuliang Ma, Yingchun Zhang
2023	J	`jnl`	Optimal channel and frequency band-based feature selection for motor imagery electroencephalogram classification. Int. J. Imaging Syst. Technol. Ming Meng, Zhichao Dong, Yunyuan Gao, Qingshan She
2023	J	`jnl`	Pulmonary nodule detection based on IR-UNet + +. Medical Biol. Eng. Comput. Jingchao Lin, Qingshan She, Yun Chen
2023	J	`jnl`	Similarity constraint style transfer mapping for emotion recognition. Biomed. Signal Process. Control. Lei Chen, Qingshan She, Ming Meng, Qizhong Zhang, Jianhai Zhang
2022	—	`conf`	Analysis and Simulation of Modeling for Transformable Robot Bio-inspired by Mimetic Octopus. ROBIO Liwei Pan, Yan Wu, Qiuxuan Wu, Hongkun Zhou, Qingshan She, Botao Zhang, Jian Wang, Farong Gao
2022	J	`jnl`	Contour detection based on binocular parallax perception mechanism. Signal Image Video Process. Chujie Wei, Tao Fang, Yingle Fan, Wei Wu, Ming Meng, Qingshan She
2022	J	`jnl`	Fractional-order convolutional neural networks with population extremal optimization. Neurocomputing Bi-Peng Chen, Yun Chen, Guo-Qiang Zeng, Qingshan She
2022	J	`jnl`	Multi-source manifold feature transfer learning with domain selection for brain-computer interfaces. Neurocomputing Qingshan She, Yinhao Cai, Shengzhi Du, Yun Chen
2021	J	`jnl`	Balanced Graph-based regularized semi-supervised extreme learning machine for EEG classification. Int. J. Mach. Learn. Cybern. Qingshan She, Jie Zou, Ming Meng, Yingle Fan, Zhizeng Luo
2021	J	`jnl`	Developing a feature decoder network with low-to-high hierarchies to improve edge detection. Multim. Tools Appl. Tao Fang, Mingqi Zhang, Yingle Fan, Wei Wu, Haitao Gan, Qingshan She
2021	J	`jnl`	Sub-band target alignment common spatial pattern in brain-computer interface. Comput. Methods Programs Biomed. Xianxiong Zhang, Qingshan She, Yun Chen, Wanzeng Kong, Congli Mei
2021	J	`jnl`	Transfer of semi-supervised broad learning system in electroencephalography signal classification. Neural Comput. Appl. Yukai Zhou, Qingshan She, Yuliang Ma, Wanzeng Kong, Yingchun Zhang
2020	J	`jnl`	Double-Criteria Active Learning for Multiclass Brain-Computer Interfaces. Comput. Intell. Neurosci. Qingshan She, Kang Chen, Zhizeng Luo, Thinh Nguyen, Thomas Potter, Yingchun Zhang
2020	J	`jnl`	Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine. Medical Biol. Eng. Comput. Qingshan She, Jie Zou, Zhizeng Luo, Thinh Nguyen, Rihui Li, Yingchun Zhang
2020	J	`jnl`	Spatio-temporal SRU with global context-aware attention for 3D human action recognition. Multim. Tools Appl. Qingshan She, Gaoyuan Mu, Haitao Gan, Yingle Fan
2019	J	`jnl`	A hierarchical semi-supervised extreme learning machine method for EEG recognition. Medical Biol. Eng. Comput. Qingshan She, Bo Hu, Zhizeng Luo, Thinh Nguyen, Yingchun Zhang
2019	J	`jnl`	Driving Fatigue Detection from EEG Using a Modified PCANet Method. Comput. Intell. Neurosci. Yuliang Ma, Bin Chen, Rihui Li, Chushan Wang, Jun Wang, Qingshan She, Zhizeng Luo, Yingchun Zhang
2019	J	`jnl`	Generalization improvement for regularized least squares classification. Neural Comput. Appl. Haitao Gan, Qingshan She, Yuliang Ma, Wei Wu, Ming Meng
2019	J	`jnl`	Image-Dehazing Method Based on the Fusion Coding of Contours and Colors. IEEE Access Mingming Tan, Tao Fang, Yingle Fan, Wei Wu, Qingshan She, Haitao Gan
2019	J	`jnl`	Time-Frequency-Domain Copula-Based Granger Causality and Application to Corticomuscular Coupling in Stroke. Int. J. Humanoid Robotics Qingshan She, Hang Zheng, Tongcai Tan, Botao Zhang, Yingle Fan, Zhizeng Luo
2018	—	`conf`	A multi-task collaborative learning method based on auxiliary training and geometric constraints. ICPS Gaoyuan Mu, Qingshan She, Zhuo Tian, Haitao Gan, Peng Jiang
2018	—	`conf`	Gait Recognition Based on EMG Information with Multiple Features. IIP Yueying Cao, Farong Gao, Liling Yu, Qingshan She
2018	C	`conf`	Multi-task Motor Imagery EEG Classification Using Broad Learning and Common Spatial Pattern. ICIS Jie Zou, Qingshan She, Farong Gao, Ming Meng
2018	J	`jnl`	Safe Semi-Supervised Extreme Learning Machine for EEG Signal Classification. IEEE Access Qingshan She, Bo Hu, Haitao Gan, Yingle Fan, Thinh Nguyen, Thomas Potter, Yingchun Zhang
2018	J	`jnl`	Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification. Comput. Intell. Neurosci. Qingshan She, Kang Chen, Yuliang Ma, Thinh Nguyen, Yingchun Zhang
2016	J	`jnl`	A risk degree-based safe semi-supervised learning algorithm. Int. J. Mach. Learn. Cybern. Haitao Gan, Zhizeng Luo, Ming Meng, Yuliang Ma, Qingshan She
2016	J	`jnl`	Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization. Comput. Math. Methods Medicine Yuliang Ma, Xiaohui Ding, Qingshan She, Zhizeng Luo, Tom Potter, Yingchun Zhang
2015	J	`jnl`	Finite-time stability analysis of discrete-time fuzzy Hopfield neural network. Neurocomputing Jianjun Bai, Renquan Lu, Anke Xue, Qingshan She, Zhonghua Shi
2015	J	`jnl`	Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification. Comput. Intell. Neurosci. Qingshan She, Yuliang Ma, Ming Meng, Zhizeng Luo
2012	J	`jnl`	Quantized H Circuits Syst. Signal Process. Renquan Lu, Hui Li, Anke Xue, Jinchuan Zheng, Qingshan She
2010	C	`conf`	Multiple kernel learning SVM-based EMG pattern classification for lower limb control. ICARCV Qingshan She, Zhizeng Luo, Ming Meng, Ping Xu
2009	—	`conf`	Error Resilient Design for Transmission Control in Wireless Networks. ICNC (6) Qingshan She, Zhizeng Luo, Yaping Zhu
2008	—	`conf`	A Fuzzy Membership Model for FSVR-Based Image Coding. ICNC (2) Qingshan She, Zhizeng Luo, Yaping Zhu