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Xiang Zhang
Xiang Zhang
University of North Carolina Charlotte
Verified email at hms.harvard.edu - Homepage
Title
Cited by
Cited by
Year
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
390*2021
GNNGuard: Defending graph neural networks against adversarial attacks
X Zhang, M Zitnik
NeurIPS 2020, 2020
2412020
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
1812018
Self-supervised contrastive pre-training for time series via time-frequency consistency
X Zhang, Z Zhao, T Tsiligkaridis, M Zitnik
NeurIPS, 2022
1382022
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
1112018
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
1002019
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
962018
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
902020
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
842018
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
842018
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
842017
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
752017
Graph-guided network for irregularly sampled multivariate time series
X Zhang, M Zeman, T Tsiligkaridis, M Zitnik
NeurIPS 2020, 2021
692021
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
69*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
68*2017
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
492018
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
452019
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
372020
Deep spatial–temporal sequence modeling for multi-step passenger demand prediction
L Bai, L Yao, X Wang, C Li, X Zhang
Future Generation Computer Systems 121, 25-34, 2021
232021
Watching your phone's back: Gesture recognition by sensing acoustical structure-borne propagation
L Wang, X Zhang, Y Jiang, Y Zhang, C Xu, R Gao, D Zhang
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021
182021
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