陈勋 教授、博导、系执行主任
中国科学技术大学 信息科学技术学院 电子工程与信息科学系
合肥微尺度物质科学国家研究中心 Bio-X交叉科学研究部
电子邮箱：xunchen@ustc.edu.cn; xunchen@ece.ubc.ca
地址：安徽省合肥市蜀山区黄山路443号中国科大西区电二楼（230027）
个人主页：http://staff.ustc.edu.cn/~xunchen/
简介
陈勋，中国科学技术大学电子工程与信息科学系教授、博士生导师、执行主任，国家优秀青年科学基金获得者。2009年6月本科毕业于中国科学技术大学电子科学与技术系，2014年1月博士毕业于加拿大不列颠哥伦比亚大学电子与计算机工程系，随后在不列颠哥伦比亚大学做博士后研究员。2014年10月至2018年4月为合肥工业大学生物医学工程系教授、博导 、系主任。目前主要从事医学人工智能、自然人机交互、移动健康监护等领域的研究工作，主持国家重点研发计划课题、国家自然科学基金、军委科技委课题等，在IEEE SPM、IEEE TBME、IEEE TIM等国际权威期刊及知名会议上发表论文90余篇，包括5篇ESI高被引论文和1篇Elsevier“Top 5 Highly Cited Articles”，申请国家发明专利26项（已授权6项）。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、Frontiers in Neuroscience等编委及Frontiers in Aging Neuroscience和Sensors客座编委；担任科技部重点研发计划、国家自然科学基金委、加拿大NSERC/MITACS等项目评审专家，多个国际会议组织委员会（OCM）和技术程序委员会（TPC）成员。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。
Recruitment
Faculty Openings
依托类脑智能技术与应用国家工程实验室，课题组拟招聘特任副研究员和博士后若干名，欢迎有志于从事脑信号与图像分析相关科学研究工作的国内外优秀博士毕业生及博士后咨询和加盟，学校和实验室将提供一流研究平台、高质量生源及丰厚待遇，此外，中国科大特设立“墨子****特殊津贴”，重金诚聘海内外青年人才加盟聘期制科研队伍，入选者年薪可达40万元。最好的平台期待最优秀的你！[Link]
Student Openings
课题组每年招收硕士研究生和博士研究生若干名，欢迎信息、计算机、统计、数学、生物医学工程等相关专业的优秀本科生加入。同时，课题组与国外著名大学有稳定合作研究，对研究成果突出的学生，可以推荐赴国外访问学习/联合培养。此外，课题组每年会招收少量本校本科生参与科研，不限专业。由于名额限制，请尽早联系。
研究方向
医学人工智能，自然人机交互，移动健康监护。

学术服务
Area Editor, Signal Processing: Image Communication
Associate Editor, IEEE Signal Processing Letters
Associate Editor, Frontiers in Neuroscience
Associate Editor, IEEE Access
Guest Editors, Frontiers in Aging Neuroscience/Sensors

科研项目
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；
军科委国防科技创新特区课题，“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；
军科委创新培育课题，“非接触式多模态情绪感知”，**ZT**，2017.06-2018.05，负责人；

部分期刊论文（*通讯作者）

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, vol. 69, no. 5, pp. 2105-2119, 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.
K. Wang, Xun Chen*, L. Wu, X. Zhang, X. Chen, Z. Jane Wang, “High-density Surface EMG Denoising using Independent Vector Analysis,” IEEE Transactions on Neural Systems & Rehabilitation Engineering, to appear, 2020. DOI:10.1109/TNSRE.2020.**
J. Zhang, Xun Chen*, A. Liu, X. Chen, X. Zhang, M. Gao, “ECG-based Multi-Class Arrhythmia Detection Using Spatio-Temporal Attention-based Convolutional Recurrent Neural Network,” Artificial Intelligence in Medicine, 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.
R. Song, S. Zhang, C. Li, Y. Zhang, J. Cheng, Xun Chen, “Heart Rate Estimation from Facial Videos Using a Spatiotemporal Representation with Convolutional Neural Networks,” IEEE Transactions on Instrumentation & Measurement, to appear, 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.
C. Li, Y. Liu, J. Cheng, R. Song, J. Ma, C. Sui, Xun Chen*, “Sparse unmixing of hyperspectral data with bandwise model,” Information Sciences, vol. 512, pp. 1424-1441, 2020.
R. Song, S. Zhang, J. Cheng, C. Li, Xun Chen*, “New insights on super-high resolution for video-based heart rate estimation with a semi-blind source separation method,” Computers in Biology and Medicine, vol. 116, p. 103535, 2020.
X. Wang, C. Chen, Y. Cheng, Xun Chen, Y. Liu, “Zero-Shot Learning Based on Deep Weighted Attribute Prediction,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, to appear, 2020.
S. Cao, X. Chen, X. Zhang, Xun Chen, “Effective Audio Signal Arrival Time Detection Algorithm for Realization of Robust Acoustic Indoor Positioning,” IEEE Transactions on Instrumentation & Measurement, to appear, 2020.
S. Cao, X. Chen, X. Zhang, Xun Chen, “Combined Weighted Method for TDOA-based Localization,” IEEE Transactions on Instrumentation & Measurement, 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.
Y. Liu, C. Zhang, J. Cheng, Xun Chen*, Z. J. Wang, “A Multi-Scale Data Fusion Framework for Bone Age Assessment with Convolutional Neural Networks,” Computers in Biology and Medicine, vol. 108, pp. 161-173, 2019.
R. Hu, X. Chen, C. Huang, S. Cao, X. Zhang, Xun Chen, “Elbow-flexion Force Estimation During Arm Posture Dynamically Changing Between Pronation and Supination,” Journal of Neural Engineering, vol.16, 066005, 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.
Y. Liu, Xun Chen*, Z. Wang, Z. J. Wang, R. Ward, X. Wang, “Deep Learning for Pixel-level Image Fusion: Recent Advances and Future Prospects,” Information Fusion, vol. 42, pp. 158–173, 2018.
A. Liu, S. Lin, T. Mi, Xun Chen*, P. Chan, Z. Jane Wang, M. J McKeown, “Decreased subregional specificity of the putamen in Parkinson's Disease revealed by dynamic connectivity-derived parcellation,” NeuroImage: Clinical, vol. 20, pp. 1163-1175, 2018.
J. Cheng, F. Wei, C. Li, Y. Liu, A. Liu, Xun Chen*, “Position-independent gesture recognition using sEMG signals via canonical correlation analysis,” Computers in Biology and Medicine, vol. 103, pp. 44-54, Dec. 2018.
C. Zhang, X. Chen, S. Cao, X. Zhang, Xun Chen, “HD-sEMG-based research on activation heterogeneity of skeletal muscles and the joint force estimation during elbow flexion,” Journal of Neural Engineering, vol. 15, no. 5, p. 056027, 2018.
C. Li, Y. Liu, J. Cheng, R. Song, H. Peng, Q. Chen, Xun Chen*, “Hyperspectral Unmixing with Bandwise Generalized Bilinear Model,” Remote Sensing, vol. 10, Article ID 1600, 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.
Y. Liu, Xun Chen*, H. Peng, Z. Wang, “Multi-focus image fusion with a deep convolutional neural network”, Information Fusion, vol. 36, pp. 191–207, 2017.
Xun Chen, A. Liu, Q. Chen, Y. Liu, L. Zou, “Simultaneous Ocular and Muscle Artifact Removal From EEG Data by Exploiting Diverse Statistics”, Computers in Biology and Medicine, vol. 88, pp. 1-10, 2017.
H. Qi, Z. Guo, Xun Chen*, Z. Shen, Z. J. Wang, “Video-based Human Heart Rate Measurement Using Joint Blind Source Separation”, Biomedical Signal Processing & Control, vol. 31, pp. 309-320, 2017.
S. Cai, W. Chen, D. Liu, M. Tang, Xun Chen*, “Complex network analysis of brain functional connectivity under a multi-step cognitive task,” Physica A, vol. 466, pp. 663-671, 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.
Xun Chen, Z. J. Wang, “Pattern Recognition of Number Gestures Based on A Wireless Surface EMG System,” Biomedical Signal Processing & Control, vol. 8, no. 2, pp. 184–192, 2013.

学生培养
在读学生
吴乐, PhD Candidate, cosupervised with Dr. X. Zhang
Education: B.S., HFUT BME, 2016; Topic: sEMG-based hand guesture pattern recognition; Publication: IEEE Trans. BME 2020
李煜, PhD Candidate, cosupervised with Dr. A. Liu
Education: B.S., AHU EE, 2017; Topic: Brain connectivity analysis; Publication: Autism Research 2020
梁邓, PhD Candidate
Education: B.S., USTC EE (Dept. 23), 2017; Topic: EEG-based epilepic seizure prediction; Publication: coming soon ...
王堃, Master Student
Education: B.S., HFUT BME, 2018; Topic: sEMG denoising; Publication: IEEE Trans. NSRE 2020
张静, Master Student
Education: B.S., AHU EE, 2018; Topic: ECG-based heart disease classification; Publication: Artif. Intell. Med. 2020
刘庆泽, Master Student
Education: B.S., USTC School of the Gifted Young, 2018; Topic: Muscle artifact removal from EEG; Publication: IEEE Trans. IM 2019; J. Healthcare Eng. 2019
景军元, Master Student
Education: B.S., USTC EE (Dept. 6), 2019; Topic: ECG signal analysis via deep learning; Publication: struggling ...
崔恒, Master Student
Education: B.S., HFUT Comp. Sci., 2019; Topic: EEG-based emotion recognition; Publication: coming soon ...
薛博, Master Student
Education: B.S., USTC EE (Dept. 23), 2019; Topic: sEMG-based gesture reconition across subjects; Publication: struggling ...
宋公正, Master Student
Education: B.S., HFUT Stat., 2019; Topic: Blind source separation; Publication: coming soon ...
杨铭, Master Student
Education: B.S., USTC School of the Gifted Young, 2020; Topic: Intracranial EEG analysis; Publication: struggling ...
陈宇航, Master Student
Education: B.S., USTC Auto. (Dept. 10), 2020; Topic: Medical image fusion; Publication: struggling ...
王岱, Master Student
Education: B.S., USTC EE (Dept. 23), 2020; Topic: Brain computer interfaces; Publication: struggling ...
高逸凯, Master Student
Education: B.S., HFUT Comp. Sci., 2020; Topic: EEG-based epilepic seizure detection; Publication: struggling ...
周会会, Master Student
Education: B.S., AHU EE, 2020; Topic: Hardware design for brain computer interfaces; Publication: struggling ...
毕业学生
陶威
Current Position: PhD Candidate, University of Macau.
Education: B.S., HFUT IM, 2017; M.S., HFUT BME, 2020; Topic: Emotion Recognition via EEG; Publication: IEEE Trans. Affect. Comp. 2020; IEEE Sensors J. 2019
张森乐
Current Position: Engineer, National Supercomputing Center-Tianjin
Education: B.S., HFUT BME, 2017; M.S., HFUT BME, 2020; Topic: Video-based Remote PPG Extraction via CNN; Publication: IEEE Trans. IM 2020
张超
Current Position: Engineer, Taiho Optoelectronic
Education: B.S., WNMC BME, 2017; M.S., HFUT BME, 2020; Topic: Bone Age Estimation based on X-ray Images; Publication: Comp. Bio. Med. 2018
李路畅
Current Position: Engineer, Morningcore.
Education: B.S., HFUT EE, 2016; M.S., HFUT BME, 2019; Topic: Artifact Removal in Single-Channel EEG; Publication: IEEE Trans. IM 2019; IEEE Access 2019
徐雪远
Current Position: PhD Candidate, Beijing Normal Univ.
Education: B.S., AHMU BME, 2014; M.S., HFUT BME, 2018; Topic: Muscle Artifact Removal in Few-Channel EEG; Publication: IEEE Trans. IM 2018; Electronics Letters 2018; IEEE Sensors J. 2019
徐灵曦
Current Position: Engineer, iFlytek.
Education: B.S., HFUT EE, 2015; M.S., HFUT BME, 2018; Topic: Remote PPG Estimation via Camera under Dynamic Ambient Light; Publication: IEEE JBHI 2017; Electronics Letters 2018