陈勋 导师介绍
姓名
陈勋


工作单位
中国科学技术大学先进技术研究院/中国科学技术大学信息学院

学位/职称
博士/教授

办公室电话


Email
xunchen@ustc.edu.cn; xunchen@ece.ubc.ca

教育背景
2005.9 - 2009.7 中国科学技术大学电子科学与技术系 学士
2009.9 - 2014.1 不列颠哥伦比亚大学生物医学工程专业 博士

研究方向
医学人工智能，人机交互，移动健康监护。

任职经历
2014.1 - 2014.10 不列颠哥伦比亚大学电气与计算机工程系 博士后
2014.11 - 2018.4 合肥工业大学生物医学工程系 教授、博导
2018.5 - 至今 中国科学技术大学信息科学技术学院 教授、博导、6系执行主任

获得荣誉、奖项
先后获得中国科协“青年人才托举工程”、教育部“王宽诚教育基金”、中国仪器仪表学会金国藩青年学子奖、中国生物医学工程学会优秀青年论文奖、国家优秀留学生奖等学术奖励或荣誉称号。担任中国生物医学工程学会理事，IEEE Senior Member，国际权威期刊IEEE Signal Processing Letters、Signal Processing-Image Communication等编委、Frontiers in Aging Neuroscience和Sensors客座编委 ；担任科技部重点研发计划、国家自然科学基金和加拿大NSERC基金等评审专家，多个国际会议组织委员会（OCM）和技术程序委员会（TPC）成员，担任IEEE SPM、IEEE TBME、IEEE TNSRE等国际权威期刊以及IEEE ICASSP、IEEE GlobalSIP等国际知名会议审稿人。

主持、参与项目
国家重点研发计划课题，“面向移动终端的高效率多通道信息输入和内容编辑", 2018YFB**，2018.8-2021.7，负责人；
国家优秀青年科学基金，“神经生理信号处理与分析”，**，2020.1-2022.12，负责人；
“多模态神经生理信息融合的情绪感知”，**ZT**，2018.10-2020.12，负责人；
中国科协“青年人才托举工程”， 2017.1-2019.12，负责人；
国家自然科学基金面上项目，“基于视频的非接触式生理参数监测关键技术研究”，**，2016.01-2019.12，负责人；
国家自然科学基金青年基金，“脑电信号中肌电噪声去除的新探索”，**，2016.01-2018.12，负责人；
“非接触式多模态情绪感知”，**ZT**，2017.06-2018.05，负责人；

论文、著作
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.
X. Zhang, L. Wu, X. Chen, Xun Chen*, “Adaptive Calibration of Electrode Array Shifts Enables Robust Myoelectric Control,” IEEE Transactions on Biomedical Engineering, to appear, 2020.
L. Zou, X. 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.
B. Yu, X. Zhang, L. Wu, X. Chen, Xun Chen, “A Novel Post-Processing Method for Robust Myoelectric Pattern-Recognition Control through Movement Pattern Transition Detection,” IEEE Transactions on Human-Machine Systems, vol. 50, no. 1, pp. 32-41, 2020.
C. Zhang, X. Chen, S. Cao, X. Zhang, Xun Chen, “A Novel HD-sEMG Preprocessing Method Integrating Muscle Activation Heterogeneity Analysis and Kurtosis-Guided Filtering for High-Accuracy Joint Force Estimation,” IEEE Transactions on Neural Systems & Rehabilitation Engineering, to appear, 2020.
Y. Yu, X. Chen, S. Cao, X. Zhang, Xun Chen, “Exploration of Chinese Sign Language Recognition Using Wearable Sensors Based on Deep Belief Net,” IEEE Journal of Biomedical and Health Informatics, to appear, 2020.
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.
Xun Chen, J. Cheng, R. Song, Y. Liu, R. Ward, Z. J. Wang, “Video-based Heart Rate Measurement: Recent Advances and Future Prospects,” IEEE Transactions on Instrumentation & Measurement, vol. 68, no. 10, pp. 3600-3615, 2019.
Xun Chen, X. Xu, A. Liu, S. Lee, X. Chen, X. Zhang, M. McKeown, Z. J. Wang, “Removal of muscle artifacts from the EEG: a review and recommendations,” IEEE Sensors Journal, vol. 19, no. 14, pp. 5353-5368, 2019.
Xun Chen, Q. Chen, Y. Zhang, Z. J. Wang, “A Novel EEMD-CCA Approach to Removing Muscle Artifacts for Pervasive EEG,” IEEE Sensors Journal, vol. 19, no. 19, pp. 8420-8431, 2019.
C. Li, W. Tao, J. Cheng, Y. Liu, Xun Chen*, “Robust Multichannel EEG Compressed Sensing in the Presence of Mixed Noise,” IEEE Sensors Journal, vol. 19, no. 22, pp. 10574-10583, 2019.
Y. Liu, Xun Chen*, R. Ward, Z. J. Wang, “Medical Image Fusion via Convolutional Sparsity based Morphological Component Analysis,” IEEE Signal Processing Letters, vol. 26, no. 3, pp. 485-489, 2019.
Y. Jiao, Y. Zhang, Xun Chen, E. Yin, J. Jin, X. Wang, and A. Cichocki. "Sparse Group Representation Model for Motor Imagery EEG Classification." IEEE Journal of Biomedical and Health Informatics, 23(2), 631-641, Mar. 2019.
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.
Xun Chen, X. Xu, A. Liu, M. McKeown, Z. J. Wang, “The Use of Multivariate EMD and CCA for Denoising Muscle Artifacts from Few-Channel EEG Recordings,” IEEE Transactions on Instrumentation & Measurement, vol. 67, no. 2, pp. 359-370, 2018.
L. Xu, X. Chen, S. Cao, X. Zhang, Xun Chen, “A Fatigue Involved Modification Framework for Force Estimation in Fatiguing Contraction,” IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 26, no. 11, pp. 2153-2164, 2018.
J. Cheng, Xun Chen*, L. Xu, Z. J. Wang, “Illumination Variation-Resistant Video-Based Heart Rate Measurement Using Joint Blind Source Separation and Ensemble Empirical Mode Decomposition”, IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 5, pp. 1422-1433, 2017.
Xun Chen, H. Peng, F. Yu, K. Wang, “Independent Vector Analysis Applied to Remove Muscle Artifacts in EEG Data,” IEEE Transactions on Instrumentation & Measurement, vol. 66, no. 7, pp. 1770-1779, 2017.
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.
Y. Liu, Xun Chen*, R. Ward, Z. J. Wang, “Image Fusion With Convolutional Sparse Representation”, IEEE Signal Processing Letters, vol. 23, no. 12, pp. 1882-1886, 2016.
A. Liu, Xun Chen*, M. J. McKeown, Z. J. Wang, “A Combined Static and Dynamic Model for Resting State fMRI Brain Connectivity Networks,” IEEE Journal of Selected Topics in Signal Processing, vol. 10, no. 7, pp. 1172-1181, 2016.
Liang Zou, Xun Chen*, Z. Jane Wang, “Underdetermined Joint Blind Source Separation for 2 datasets based on Tensor Decomposition,” IEEE Signal Processing Letters, vol. 23, no. 5, pp. 673-677, 2016.
Xun Chen, A. Liu, Joyce Chiang, Z. Jane Wang, Martin J. McKeown, Rabab K. Ward, “Removing Muscle Artifacts from EEG Data: Multichannel or Single-Channel Techniques?” IEEE Sensors Journal, vol. 16, no. 7, pp. 1986-1997, 2016.
Liang Zou, Xun Chen*, Amir Servati, Saeid Soltanian, Peyman Servati, Z. Jane Wang, “A Blind Source Separation Framework for Monitoring Heart Beat Rate using Nanofiber based Strain Sensors,” IEEE Sensors Journal, vol. 16, no. 3, pp. 762-772, 2016.
A. Liu, Xun Chen*, M. J. Mckeown, Z. J. Wang, "A Sticky Weighted Regression Model for Time-Varying Resting State Brain Connectivity Estimation," IEEE Transactions on Biomedical Engineering, vol. 62, no. 2, pp. 501-510, 2015.
C. He, Xun Chen*, Z. J. Wang, "Performance of General STCs over Spatially Correlated MIMO Single-keyhole Channels," IEEE Transactions on Vehicular Technology, vol. 64, no. 7, pp. 3285-3291, 2015.
Xun Chen, A. Liu, M. J. McKeown, H. Poizner, Z. J. Wang, "An EEMD-IVA Framework for Concurrent Multidimensional EEG and Unidimensional Kinematic Data Analysis," IEEE Transactions on Biomedical Engineering, vol. 61, no. 7, pp. 2187-2198, 2014.
Xun Chen, Z. J. Wang, M. J. Mckeown, " A Three-Step Multimodal Analysis Framework for Modeling Corticomuscular Activity With Application to Parkinson’s Disease," IEEE Journal of Biomedical and Health Informatics, vol. 18, no. 4, pp. 1232-1241, 2014.
Xun Chen, C. He, Z. J. Wang, M. J. Mckeown, "An IC-PLS Framework for Corticomuscular Coupling Analysis," IEEE Transactions on Biomedical Engineering, vol. 60, no. 7, pp. 2022-2033, 2013.
Xun Chen, X. Chen, R. K. Ward, Z. J. Wang, "A Joint Multimodal Group Analysis Framework for Modeling Corticomuscular Activity," IEEE Transactions on Multimedia, vol. 15, no. 5, pp. 1049-1059, 2013.