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Guangxu Xun
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Title
Cited by
Cited by
Year
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
9752018
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
2262018
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
1272017
A correlated topic model using word embeddings.
G Xun, Y Li, WX Zhao, J Gao, A Zhang
IJCAI 17, 4207-4213, 2017
1182017
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
882018
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
792018
Wave2vec: Deep representation learning for clinical temporal data
Y Yuan, G Xun, Q Suo, K Jia, A Zhang
Neurocomputing 324, 31-42, 2019
642019
Collaboratively improving topic discovery and word embeddings by coordinating global and local contexts
G Xun, Y Li, J Gao, A Zhang
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
642017
Topic discovery for short texts using word embeddings
G Xun, V Gopalakrishnan, F Ma, Y Li, J Gao, A Zhang
2016 IEEE 16th international conference on data mining (ICDM), 1299-1304, 2016
572016
Correlation networks for extreme multi-label text classification
G Xun, K Jha, J Sun, A Zhang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
552020
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
522019
Detecting epileptic seizures with electroencephalogram via a context-learning model
G Xun, X Jia, A Zhang
BMC medical informatics and decision making 16, 97-109, 2016
452016
A hybrid self-attention deep learning framework for multivariate sleep stage classification
Y Yuan, K Jia, F Ma, G Xun, Y Wang, L Su, A Zhang
BMC bioinformatics 20, 1-10, 2019
442019
Recurrent imputation for multivariate time series with missing values
Q Suo, L Yao, G Xun, J Sun, A Zhang
2019 IEEE international conference on healthcare informatics (ICHI), 1-3, 2019
412019
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
392017
Generating medical hypotheses based on evolutionary medical concepts
G Xun, K Jha, V Gopalakrishnan, Y Li, A Zhang
2017 IEEE International Conference on Data Mining (ICDM), 535-544, 2017
392017
A multi-context learning approach for EEG epileptic seizure detection
Y Yuan, G Xun, K Jia, A Zhang
BMC systems biology 12, 47-57, 2018
382018
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
382017
Interpretable word embeddings for medical domain
K Jha, Y Wang, G Xun, A Zhang
2018 IEEE international conference on data mining (ICDM), 1061-1066, 2018
332018
Collaborative restricted Boltzmann machine for social event recommendation
X Jia, X Li, K Li, V Gopalakrishnan, G Xun, A Zhang
2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016
302016
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