A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers X Zhang, L Yao, X Wang, J Monaghan, D Mcalpine, Y Zhang Journal of neural engineering 18 (3), 031002, 2021 | 471* | 2021 |
GNNGuard: Defending graph neural networks against adversarial attacks X Zhang, M Zitnik NeurIPS 2020, 2020 | 345 | 2020 |
Self-supervised contrastive pre-training for time series via time-frequency consistency X Zhang, Z Zhao, T Tsiligkaridis, M Zitnik NeurIPS, 2022 | 313 | 2022 |
Cascade and parallel convolutional recurrent neural networks on EEG-based intention recognition for brain computer interface D Zhang, L Yao, X Zhang, S Wang, W Chen, R Boots, B Benatallah Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 219 | 2018 |
Graph-guided network for irregularly sampled multivariate time series X Zhang, M Zeman, T Tsiligkaridis, M Zitnik ICLR 2022, 2021 | 141 | 2021 |
Converting your thoughts to texts: Enabling brain typing via deep feature learning of eeg signals X Zhang, L Yao, QZ Sheng, SS Kanhere, T Gu, D Zhang 2018 IEEE international conference on pervasive computing and communications …, 2018 | 130 | 2018 |
Deep neural network hyperparameter optimization with orthogonal array tuning X Zhang, X Chen, L Yao, C Ge, M Dong Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | 129 | 2019 |
Adversarial representation learning for robust patient-independent epileptic seizure detection X Zhang, L Yao, M Dong, Z Liu, Y Zhang, Y Li IEEE journal of biomedical and health informatics 24 (10), 2852-2859, 2020 | 110 | 2020 |
Mindid: Person identification from brain waves through attention-based recurrent neural network X Zhang, L Yao, SS Kanhere, Y Liu, T Gu, K Chen Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 107 | 2018 |
Internet of Things meets brain–computer interface: A unified deep learning framework for enabling human-thing cognitive interactivity X Zhang, L Yao, S Zhang, S Kanhere, M Sheng, Y Liu IEEE Internet of Things Journal 6 (2), 2084-2092, 2018 | 106 | 2018 |
EEG-based motion intention recognition via multi-task RNNs W Chen, S Wang, X Zhang, L Yao, L Yue, B Qian, X Li Proceedings of the 2018 SIAM International Conference on Data Mining, 279-287, 2018 | 97 | 2018 |
Intent recognition in smart living through deep recurrent neural networks X Zhang, L Yao, C Huang, QZ Sheng, X Wang Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 92 | 2017 |
Multi-person brain activity recognition via comprehensive EEG signal analysis X Zhang, L Yao, D Zhang, X Wang, QZ Sheng, T Gu Proceedings of the 14th EAI international conference on mobile and …, 2017 | 84 | 2017 |
Unraveling metric vector spaces with factorization for recommendation S Zhang, L Yao, B Wu, X Xu, X Zhang, L Zhu IEEE Transactions on Industrial Informatics 16 (2), 732-742, 2019 | 81* | 2019 |
DeepKey: A Multimodal Biometric Authentication System via Deep Decoding Gaits and Brainwaves X Zhang, L Yao, C Huang, T Gu, Z Yang, Y Liu ACM Trans. on Intelligent Systems and Technology (TIST) 11, 4, 2017 | 81* | 2017 |
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series Y Wang, Y Han, H Wang, X Zhang NeurIPS 2023, 2023 | 55 | 2023 |
Self-supervised contrastive learning for medical time series: A systematic review Z Liu, A Alavi, M Li, X Zhang Sensors 23 (9), 4221, 2023 | 51 | 2023 |
Adversarial variational embedding for robust semi-supervised learning X Zhang, L Yao, F Yuan Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 51 | 2019 |
Multi-modality sensor data classification with selective attention X Zhang, L Yao, C Huang, S Wang, M Tan, G Long, C Wang IJCAI 2018, 2018 | 50 | 2018 |
A multi-view CNN-based acoustic classification system for automatic animal species identification W Xu, X Zhang, L Yao, W Xue, B Wei Ad Hoc Networks 102, 102115, 2020 | 45 | 2020 |