| EMG signals based gait phases recognition using hidden Markov models M Meng, Q She, Y Gao, Z Luo The 2010 IEEE International Conference on Information and Automation, 852-856, 2010 | 75 | 2010 |
| Multiple kernel learning SVM-based EMG pattern classification for lower limb control Q She, Z Luo, M Meng, P Xu 2010 11th International Conference on Control Automation Robotics & Vision …, 2010 | 28 | 2010 |
| Automatic recognition of gait mode from EMG signals of lower limb M Meng, Z Luo, Q She, Y Ma 2010 The 2nd International Conference on Industrial Mechatronics and …, 2010 | 28 | 2010 |
| Dual-Encoder VAE-GAN With Spatiotemporal Features for Emotional EEG Data Augmentation C Tian, Y Ma, J Cammon, F Fang, Y Zhang, M Meng IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 | 25 | 2023 |
| Multiclass posterior probability twin SVM for motor imagery EEG classification Q She, Y Ma, M Meng, Z Luo Computational Intelligence and Neuroscience 2015, 95-95, 2015 | 23 | 2015 |
| A deep subdomain associate adaptation network for cross-session and cross-subject EEG emotion recognition M Meng, J Hu, Y Gao, W Kong, Z Luo Biomedical Signal Processing and Control 78, 103873, 2022 | 19 | 2022 |
| Cross-Subject Emotion Recognition Based on Domain Similarity of EEG Signal Transfer Learning Y Ma, W Zhao, M Meng, Q Zhang, Q She, J Zhang IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 936-943, 2023 | 18 | 2023 |
| Noise-assisted MEMD based relevant IMFs identification and EEG classification Q She, Y Ma, M Meng, X Xi, Z Luo Journal of Central South University 24 (3), 599-608, 2017 | 18 | 2017 |
| Optimal channel-based sparse time-frequency blocks common spatial pattern feature extraction method for motor imagery classification X Yin, M Meng, Q She, Y Gao, Z Luo Mathematical Biosciences and Engineering 18 (4), 4247-4263, 2021 | 16 | 2021 |
| Balanced graph-based regularized semi-supervised extreme learning machine for EEG classification Q She, J Zou, M Meng, Y Fan, Z Luo International Journal of Machine Learning and Cybernetics 12, 903-916, 2021 | 14 | 2021 |
| A risk degree-based safe semi-supervised learning algorithm H Gan, ZZ Luo, M Meng, Y Ma, Q She International Journal of Machine Learning and Cybernetics 7, 85-94, 2016 | 14 | 2016 |
| Two-level feature extraction method for multi-class motor imagery EEG M Meng, J Zhu, Q She, YL Ma, ZZ Luo Acta Automatica Sinica 42 (12), 1915-1922, 2016 | 12 | 2016 |
| EEG-based emotion recognition with cascaded convolutional recurrent neural networks M Meng, Y Zhang, Y Ma, Y Gao, W Kong Pattern Analysis and Applications 26 (2), 783-795, 2023 | 9 | 2023 |
| Generalization improvement for regularized least squares classification H Gan, Q She, Y Ma, W Wu, M Meng Neural Computing and Applications 31, 1045-1051, 2019 | 9 | 2019 |
| Similarity constraint style transfer mapping for emotion recognition L Chen, Q She, M Meng, Q Zhang, J Zhang Biomedical Signal Processing and Control 80, 104314, 2023 | 8 | 2023 |
| Sparse representation-based classification with two-dimensional dictionary optimization for motor imagery EEG pattern recognition M Meng, X Yin, Q She, Y Gao, W Kong, Z Luo Journal of Neuroscience Methods 361, 109274, 2021 | 7 | 2021 |
| Multi-task motor imagery EEG classification using broad learning and common spatial pattern J Zou, Q She, F Gao, M Meng Intelligence Science II: Third IFIP TC 12 International Conference, ICIS …, 2018 | 7 | 2018 |
| Optimal channel and frequency band‐based feature selection for motor imagery electroencephalogram classification M Meng, Z Dong, Y Gao, Q She International Journal of Imaging Systems and Technology 33 (2), 670-679, 2023 | 6 | 2023 |
| Crossing time windows optimization based on mutual information for hybrid BCI M Meng, L Dai, Q She, Y Ma, W Kong Mathe. Biosci. Eng 18, 7919-7935, 2021 | 5 | 2021 |
| Classification of motor imagery EEG based on gaussian process optimized with artificial bee colony X GENG, Q SHE, X HAN, M MENG Chinese Journal of Sensors and Actuators 30 (3), 2017 | 5 | 2017 |
