| Neurophysiological substrates of stroke patients with motor imagery-based brain-computer interface training M Li, Y Liu, Y Wu, S Liu, J Jia, L Zhang International Journal of Neuroscience 124 (6), 403-415, 2014 | 120 | 2014 |
| A tensor-based scheme for stroke patients’ motor imagery EEG analysis in BCI-FES rehabilitation training Y Liu, M Li, H Zhang, H Wang, J Li, J Jia, Y Wu, L Zhang Journal of neuroscience methods 222, 238-249, 2014 | 74 | 2014 |
| A boosting-based spatial-spectral model for stroke patients’ EEG analysis in rehabilitation training Y Liu, H Zhang, M Chen, L Zhang IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (1 …, 2015 | 63 | 2015 |
| Exploring motor imagery EEG patterns for stroke patients with deep neural networks D Cheng, Y Liu, L Zhang 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 32 | 2018 |
| Uncorrelated multiway discriminant analysis for motor imagery EEG classification Y Liu, Q Zhao, L Zhang International journal of neural systems 25 (04), 1550013, 2015 | 29 | 2015 |
| A competitive brain computer interface: Multi-person car racing system J Li, Y Liu, Z Lu, L Zhang 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 24 | 2013 |
| Modeling similarities among multi-dimensional financial time series D Cheng, Y Liu, Z Niu, L Zhang IEEE Access 6, 43404-43413, 2018 | 15 | 2018 |
| An iterative method for classifying stroke subjects’ motor imagery EEG data in the BCI-FES rehabilitation training system H Zhang, J Liang, Y Liu, H Wang, L Zhang Foundations and Practical Applications of Cognitive Systems and Information …, 2014 | 14 | 2014 |
| Gaussian mixture modeling in stroke patients' rehabilitation EEG data analysis H Zhang, Y Liu, J Liang, J Cao, L Zhang 2013 35th annual international conference of the IEEE engineering in …, 2013 | 14 | 2013 |
| Os-msl: One stage multimodal sequential link framework for scene segmentation and classification Y Liu, L Qiao, D Yin, Z Jiang, X Jiang, D Jiang, B Ren Proceedings of the 30th ACM International Conference on Multimedia, 6269-6277, 2022 | 7 | 2022 |
| Separation and recognition of electroencephalogram patterns using temporal independent component analysis Y Liu, M Li, Y Wu, J Jia, L Zhang International Journal of Pattern Recognition and Artificial Intelligence 29 …, 2015 | 7 | 2015 |
| Classification of stroke patients’ motor imagery EEG with autoencoders in BCI-FES rehabilitation training system M Chen, Y Liu, L Zhang Neural Information Processing: 21st International Conference, ICONIP 2014 …, 2014 | 7 | 2014 |
| Single-trial discrimination of EEG signals for stroke patients: a general multi-way analysis Y Liu, M Li, H Zhang, J Li, J Jia, Y Wu, J Cao, L Zhang 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 6 | 2013 |
| A frequency boosting method for motor imagery EEG classification in BCI-FES rehabilitation training system J Liang, H Zhang, Y Liu, H Wang, J Li, L Zhang Advances in Neural Networks–ISNN 2013: 10th International Symposium on …, 2013 | 6 | 2013 |
| OSAN: A One-Stage Alignment Network to Unify Multimodal Alignment and Unsupervised Domain Adaptation Y Liu, L Qiao, C Lu, D Yin, C Lin, H Peng, B Ren Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| BCI-FES rehabilitation training platform integrated with active training mechanism Y Liu, H Zhang, H Wang, J Li, L Zhang IJCAI 2013 Workshop on Intelligence Science, 1-6, 2013 | 5 | 2013 |
| Causal neurofeedback based BCI-FES rehabilitation for post-stroke patients H Wang, Y Liu, H Zhang, J Li, L Zhang Neural Information Processing: 20th International Conference, ICONIP 2013 …, 2013 | 5 | 2013 |
| Common spatial-spectral boosting pattern for brain-computer interface Y Liu, H Zhang, Q Zhao, L Zhang ECAI 2014, 537-542, 2014 | 4 | 2014 |
| Grafting pre-trained models for multimodal headline generation L Qiao, C Wu, Y Liu, H Peng, D Yin, B Ren arXiv preprint arXiv:2211.07210, 2022 | 2 | 2022 |
| Entropy-based Optimization on Individual and Global Predictions for Semi-Supervised Learning Z Zhao, M Zhao, Y Liu, D Yin, L Zhou Proceedings of the 31st ACM International Conference on Multimedia, 8346-8355, 2023 | 1 | 2023 |
Liqing Zhang （张丽清）Professor, Department of Computer Science, Shanghai Jiao Tong UniversityVerified email at cs.sjtu.edu.cn
