Name:Xun Chen
Address:443 Huangshan Road, Hefei 230027, China
Tel:0551-63602140
E-mail:xunchen@ustc.edu.cn
EDUCATION AND RESEARCH EXPERIENCE
2005.9-2009.7B.Sc.   University of Science & Technology of China
2009.9-2014.1Ph.D.   University of British Columbia
2014.1-2014.10Postdoc   University of British Columbia
2014.11-2018.4Professor   Hefei University of Technology
2018.5-presentProfessor  University of Science & Technology of China
RESEARCH INTERESTS
Artificial intelligence in medicine, human-machine interaction, mobile health monitoring, statistical signal processing and machine learning.
SELECTED PUBLICATIONS
1.Xun Chen, Q. Liu, W. Tao, L. Li, S. Lee, A. Liu, Q. Chen, J. Cheng, M. McKeown, Z. J. Wang, “ReMAE: A User-friendly Toolbox for Removing Muscle Artifacts from EEG,” IEEE Transactions on Instrumentation & Measurement, to appear, 2020.
2.L. Zou, Xun Chen*, G. Dang, Y. Gou, Z. J. Wang, “Removing Muscle Artifacts from EEG Data via Underdetermined Joint Blind Source Separation: A Simulation Study,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 67, no. 1, pp. 187-191, 2020.
3.S. Lee, M. McKeown, Z. J. Wang, Xun Chen*, “Removal of High-Voltage Brain Stimulation Artifacts from Simultaneous EEG Recordings,” IEEE Transactions on Biomedical Engineering, vol. 66, no. 1, pp. 50-60, Jan. 2019.
4.M. Yin, X. Liu, Y. Liu, Xun Chen, “Medical Image Fusion With Parameter-Adaptive Pulse Coupled-Neural Network in Nonsubsampled Shearlet Transform Domain,” IEEE Transactions on Instrumentation & Measurement, vol. 65, no. 1, pp. 49-64, Jan. 2019.
5.Xun Chen*, Z. Jane Wang, M. J. McKeown, “Joint Blind Source Separation for Neurophysiological Data Analysis: Multiset and multimodal methods,” IEEE Signal Processing Magazine, vol. 33, no. 3, pp. 86-107, 2016.

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