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Guangxu Xun
Researcher at University of Virginia
Publications - 48
Citations - 1811
Guangxu Xun is an academic researcher from University of Virginia. The author has contributed to research in topics: Context (language use) & Deep learning. The author has an hindex of 17, co-authored 43 publications receiving 1022 citations. Previous affiliations of Guangxu Xun include University at Buffalo.
Papers
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Proceedings ArticleDOI
EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection
TL;DR: An end-to-end framework named Event Adversarial Neural Network (EANN), which can derive event-invariant features and thus benefit the detection of fake news on newly arrived events, is proposed.
Journal ArticleDOI
A Multi-View Deep Learning Framework for EEG Seizure Detection
TL;DR: A new autoencoder-based multi-view learning model is constructed by incorporating both inter and intra correlations of EEG channels to unleash the power of multi-channel information by adding a channel-wise competition mechanism in the training phase.
Journal ArticleDOI
A Survey on Context Learning
TL;DR: This survey aims at providing a structured and comprehensive overview of the research on context learning by summarized and group the existing literature into four categories, Explicit Analysis, Implicit Analysis, Neural Network Models, and Composite Models, based on the underlying techniques adopted by them.
Proceedings ArticleDOI
A Correlated Topic Model Using Word Embeddings
TL;DR: The proposed model enables us to exploit the additional word-level correlation information in word embeddings and directly model topic correlation in the continuous word embedding space.
Proceedings ArticleDOI
A Multi-view Deep Learning Method for Epileptic Seizure Detection using Short-time Fourier Transform
TL;DR: A multi-view deep learning model to capture brain abnormality from multi-channel epileptic EEG signals for seizure detection and is effective in detecting epileptic seizure is proposed.