| Eann: Event adversarial neural networks for multi-modal fake news detection Y Wang, F Ma, Z Jin, Y Yuan, G Xun, K Jha, L Su, J Gao Proceedings of the 24th acm sigkdd international conference on knowledge …, 2018 | 195 | 2018 |
| Towards environment independent device free human activity recognition W Jiang, C Miao, F Ma, S Yao, Y Wang, Y Yuan, H Xue, C Song, X Ma, ... Proceedings of the 24th Annual International Conference on Mobile Computing …, 2018 | 120 | 2018 |
| A multi-view deep learning method for epileptic seizure detection using short-time fourier transform Y Yuan, G Xun, K Jia, A Zhang Proceedings of the 8th ACM International Conference on Bioinformatics …, 2017 | 56 | 2017 |
| A multi-view deep learning framework for EEG seizure detection Y Yuan, G Xun, K Jia, A Zhang IEEE journal of biomedical and health informatics 23 (1), 83-94, 2018 | 55 | 2018 |
| Personalized disease prediction using a cnn-based similarity learning method Q Suo, F Ma, Y Yuan, M Huai, W Zhong, A Zhang, J Gao 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 47 | 2017 |
| Deep patient similarity learning for personalized healthcare Q Suo, F Ma, Y Yuan, M Huai, W Zhong, J Gao, A Zhang IEEE transactions on nanobioscience 17 (3), 219-227, 2018 | 41 | 2018 |
| A novel channel-aware attention framework for multi-channel eeg seizure detection via multi-view deep learning Y Yuan, G Xun, F Ma, Q Suo, H Xue, K Jia, A Zhang 2018 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2018 | 35 | 2018 |
| Muvan: A multi-view attention network for multivariate temporal data Y Yuan, G Xun, F Ma, Y Wang, N Du, K Jia, L Su, A Zhang 2018 IEEE International Conference on Data Mining (ICDM), 717-726, 2018 | 31 | 2018 |
| Wave2vec: Deep representation learning for clinical temporal data Y Yuan, G Xun, Q Suo, K Jia, A Zhang Neurocomputing 324, 31-42, 2019 | 24 | 2019 |
| Wave2vec: Learning deep representations for biosignals Y Yuan, G Xun, Q Suo, K Jia, A Zhang 2017 IEEE International Conference on Data Mining (ICDM), 1159-1164, 2017 | 24 | 2017 |
| A novel wavelet-based model for eeg epileptic seizure detection using multi-context learning Y Yuan, G Xun, K Jia, A Zhang 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 20 | 2017 |
| A distributed anomaly detection method of operation energy consumption using smart meter data Y Yuan, K Jia 2015 International Conference on Intelligent Information Hiding and …, 2015 | 20 | 2015 |
| MeSHProbeNet: a self-attentive probe net for MeSH indexing G Xun, K Jha, Y Yuan, Y Wang, A Zhang Bioinformatics 35 (19), 3794-3802, 2019 | 16 | 2019 |
| A multi-context learning approach for EEG epileptic seizure detection Y Yuan, G Xun, K Jia, A Zhang BMC systems biology 12 (6), 47-57, 2018 | 16 | 2018 |
| Multi-task sparse metric learning for monitoring patient similarity progression Q Suo, W Zhong, F Ma, Y Ye, M Huai, A Zhang 2018 IEEE International Conference on Data Mining (ICDM), 477-486, 2018 | 15 | 2018 |
| Application of data mining in mobile health system based on Apriori algorithm K Jia, H Li, Y Yuan Beijing Gongye Daxue Xuebao 43 (3), 394-401, 2017 | 15 | 2017 |
| A general framework for diagnosis prediction via incorporating medical code descriptions F Ma, Y Wang, H Xiao, Y Yuan, R Chitta, J Zhou, J Gao 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 14 | 2018 |
| DeepMorse: A deep convolutional learning method for blind morse signal detection in wideband wireless spectrum Y Yuan, Z Sun, Z Wei, K Jia IEEE Access 7, 80577-80587, 2019 | 13 | 2019 |
| FusionAtt: deep fusional attention networks for multi-channel biomedical signals Y Yuan, K Jia Sensors 19 (11), 2429, 2019 | 11 | 2019 |
| Deepfusion: A deep learning framework for the fusion of heterogeneous sensory data H Xue, W Jiang, C Miao, Y Yuan, F Ma, X Ma, Y Wang, S Yao, W Xu, ... Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc …, 2019 | 8 | 2019 |
Aidong Zhang, Fellow of ACM and IEEEProfessor of Computer Science, University of VirginiaVerified email at virginia.edu
