| 2021 BEETL Competition: Advancing Transfer Learning for Subject Independence and Heterogenous EEG Data Sets X Wei, AA Faisal, M Grosse-Wentrup, A Gramfort, S Chevallier, V Jayaram, ... https://proceedings.mlr.press/v176/wei22a.html, 2022 | 36 | 2022 |
| Inter-subject deep transfer learning for motor imagery eeg decoding X Wei, P Ortega, AA Faisal 2021 10th international IEEE/EMBS conference on neural engineering (NER), 21-24, 2021 | 29 | 2021 |
| Model-agnostic meta-learning for EEG motor imagery decoding in brain-computer-interfacing D Li, P Ortega, X Wei, A Faisal 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER …, 2021 | 24 | 2021 |
| EEG decoding for datasets with heterogenous electrode configurations using transfer learning graph neural networks J Han, X Wei, AA Faisal Journal of Neural Engineering 20 (6), 066027, 2023 | 14 | 2023 |
| Inter-subject deep transfer learning for motor imagery eeg decoding. In 2021 10th International IEEE X Wei, P Ortega, AA Faisal EMBS Conference on Neural Engineering (NER), 21-24, 0 | 5 | |
| Federated deep transfer learning for EEG decoding using multiple BCI tasks X Wei, AA Faisal 2023 11th International IEEE/EMBS Conference on Neural Engineering (NER), 1-4, 2023 | 4 | 2023 |
| The Sandwich meta-framework for architecture agnostic deep privacy-preserving transfer learning for non-invasive brainwave decoding X Wei, J Narayan, AA Faisal Journal of Neural Engineering, 2025 | 2 | 2025 |
| Survey of Consciousness Theory from Computational Perspective Z Ding, X Wei, Y Xu arXiv preprint arXiv:2309.10063, 2023 | 2 | 2023 |
| Transfer Learning for Non-Invasive BCI EEG Brainwave Decoding X Wei Transfer Learning - Leveraging the Capability of Pre-trained Models Across …, 2024 | | 2024 |
A. Aldo FaisalProfessor in AI & Neuroscience, Imperial College; Chair in Digital Health, University of BayreuthEmail verificata su imperial.ac.uk