X
Xun Chen
Researcher at University of Science and Technology of China
Publications - 230
Citations - 7083
Xun Chen is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 27, co-authored 143 publications receiving 3549 citations. Previous affiliations of Xun Chen include University of British Columbia & Hefei University of Technology.
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MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG
TL;DR: A novel Multi-Lead-Branch Fusion Network (MLBF-Net) architecture for arrhythmia classification by integrating multi-loss optimization to jointly learning diversity and integrity of multi-lead ECG is proposed.
Proceedings ArticleDOI
PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence
TL;DR: A novel method to learn Personalized Implicit Neural Avatars (PINA) from a short RGB-D sequence, which allows non-expert users to create a detailed and personal-ized virtual copy of themselves, which can be animated with realistic clothing deformations.
Journal ArticleDOI
Removal of muscle artefacts from few-channel EEG recordings based on multivariate empirical mode decomposition and independent vector analysis
Xueyuan Xu,Xun Chen,Yu Zhang +2 more
TL;DR: An effective solution by combining multivariate empirical mode decomposition (MEMD) with independent vector analysis (IVA) is proposed, termed as MEMD-IVA, which outperforms other possible existing methods in a few-channel situation.
Journal ArticleDOI
Performance Analysis of the Generalized Likelihood Ratio Test in General Phased Array Radar Configuration
TL;DR: In this article, a generalized likelihood ratio test (GLRT) was proposed for target detection and direction of arrival estimation in a modern radar system which has a general antenna array configuration consisting of primary channels with high gain beams and reference channels with low-gain beams.
Journal ArticleDOI
Green Fluorescent Protein and Phase Contrast Image Fusion Via Detail Preserving Cross Network
TL;DR: Yuliu et al. as mentioned in this paper proposed a detail preserving cross network (DPCN), which consists of a structural-guided functional feature extraction branch (SFFEB), a functional-guided structural feature extract branch (FSFEB), and a detail-preserving module (DPM), to address the GFP and PC image fusion issue.