王毅军，男，博士，研究员，博士生导师。

2001年和2007年在清华大学分别获得生物医学工程学士和博士学位。2008年至2015年在加州大学圣迭戈分校神经计算研究所先后任博士后研究员和助理项目科学家。长期从事神经工程和计算神经科学的研究，研究兴趣包括脑-机接口、生物医学信号处理和基于脑电信号的脑成像方法。已在学术期刊和会议上发表了70多篇学术论文，多篇论文发表在生物医学工程和神经工程的顶级期刊上。研究成果获得国际同行的高度评价，论文在Google Scholar中被引用近2000次，H-index: 22。目前担任了40余种知名学术期刊的特邀审稿人。在历届国际脑－机接口竞赛中获4个单项第一名，曾获清华大学优秀博士学位论文一等奖和全国百篇优秀博士学位论文提名奖。近年来参与并主持了多项重大科研项目，首次提出并开发了高通讯速率脑－机接口、移动式脑－机接口、群体脑－机接口等多项脑－机接口新技术。

联系地址：北京市海淀区清华东路甲35号1号楼524A

个人主页：https://people.ucas.ac.cn/~0040955

主要研究方向、学术成就及创新点：

神经工程，脑-机接口，生物医学信号处理，模式识别

重要科研获奖情况：

University of California Proof of Concept Commercialization Gap Grant Award，2013

TATRC/Qualcomm Wireless Health Innovation Challenge Finalist，2011

Beyond Brain-Machine Interface Workshop Young Investigator Travel Award，2010

全国百篇优秀博士学位论文提名奖，2009

教育部高等学校科学技术奖自然科学奖二等奖，2007

清华大学优秀博士学位论文一等奖，2007

第三届国际脑－机接口竞赛数据集I/IVa/IVc第一名， 2005

第二届国际脑－机接口竞赛数据集IV第一名，2003

中国生物医学电子学年会青年论文竞赛一等奖，2003

学术论文及著作：

代表性论文

[53] Y. Chen, C. Yang, X. Chen, Y. Wang, X. Gao*, A dynamic window length recognition method for training-free SSVEP-based BCIs, J. Neural Eng., 2020.

[52] X. Chen*, N. Hu, Y. Wang*, X. Gao, Validity of a brain-computer interface version of the digit symbol substitution test in healthy subjects, Computers in Biology and Medicine, 2020.

[51] M. Nakanishi, M. Xu, Y. Wang, K. Chiang, J. Han and T. Jung, "Questionable Classification Accuracy Reported in ”Designing a Sum of Squared Correlations Framework for Enhancing SSVEP-Based BCIs”," IEEE Trans. Neural Syst. Rehab. Eng., 2020.

[50] Q. Wei*, S. Zhu, Y. Wang, X. Gao, H. Guo, and X. Wu, A Novel Training Data-Driven Canonical Correlation Analysis Algorithm for Designing Spatial Filters to Enhance Performance of SSVEP-Based BCIs, Int. J. Neural Syst., 2020.

[49] M. Xu, J. Han, Y. Wang*, T. P. Jung, D. Ming*, Implementing over 100 command codes for a high-speed hybrid brain-computer interface using concurrent P300 and SSVEP features, IEEE Trans. Biomed. Eng., 2020.

[48] X. Xiao, M. Xu, J. Jin, Y. Wang*, T. P. Jung, D. Ming*, Discriminative canonical pattern matching for single-trial classification of ERP components, IEEE Trans. Biomed. Eng., 2020.

[47] K. Wang, M. Xu, Y. Wang*, S. Zhang, L. Chen, D. Ming*, Enhance Decoding of Pre-movement EEG Patterns for Brain-Computer Interfaces, J. Neural Eng., 2020.

[46] J. Chen, A. Maye, A. K. Engel, Y. Wang, X. Gao, D. Zhang, Towards fully visual spatial information decoding: an SSVEP BCI Study, Electronics, vol. 8, no. 12, p. 1554, 2019.

[45] X. Wu, L. Zheng, L. Jiang, X. Huang, Y. Liu, L. Xing, X. Xing, Y. Wang, W. Pei *, X. Yang, Z. Liu, C. Wei, Y. Li, M. Yuan, H. Chen, A Dry Electrode Cap and Its Application in SSVEP Based BCI, Electronics, vol. 8, no. 10, p. 1080, 2019.

[44] Y. Zheng, D. Zhang, L. Wang, Y. Wang, et al. Resting-state based spatial filtering for an fNIRS-based motor imagery brain-computer interface, IEEE Access, vol. 7, pp. 120603-120615, 2019.

[43] Q. Wei*, S. Zhu, Y. Wang, X. Gao, H. Guo, and X. Wu, Maximum Signal Fraction Analysis for Enhancing Signal-to-Noise Ratio of EEG Signals in SSVEP-Based BCIs, IEEE Access, vol. 7, pp. 85452-85461, 2019.

[42] X. Chen, Y. Wang*, S. Zhang, S. Xu, X. Gao*, Effects of stimulation frequency and waveform on steady state visual evoked potentials, J. Neural Eng., vol. 16, no.6, p. 066007, 2019.

[41] H. Zhao, Y. Wang*, Z. Liu, W. Pei, H. Chen, Individual identification based on code modulated visual evoked potentials, IEEE Trans. Inf. Forensics Security, vol. 14, no. 12, pp. 3206-3216, 2019.

[40] X. Chen, B. Zhao, Y. Wang, X. Gao, "Combination of high-frequency SSVEP-based BCI and computer vision for controlling a robotic arm" J. Neural Eng., vol.16, no.2, p. 026012, 2019.

[39] Z. Yao, Y. Wang*, C. Yang, W. Pei, X. Gao, H. Chen, "An online BCI in mobile VR environments", Integrated Computer-Aided Engineering, p. 180586, 2019.

[38] Z. Yao, X. Ma, Y. Wang*, W. Pei, H. Chen, High-speed spelling in virtual reality with sequential hybrid BCIs, IEICE Trans. Inf. Syst., vol. E101-D, No. 11, pp. 2859-2862, 2018.

[37] Q. Wei, Y. Liu, X. Gao, Y. Wang, C. Yang, Z. Lu, H. Gong, “A high-speed c-VEP BCI based on grouping modulation with different codes”, IEEE Trans. Neural Syst. Rehab. Eng., vol. 26, no. 6, pp. 1178-1187, 2018.

[36] S. Zhang, X. Han, X. Chen, Y. Wang, S. Gao, X. Gao, "A study on dynamic model of steady-state visual evoked potentials", Journal of Neural Engineering, vol.15, no.4, p. 046010, 2018.

[35] X. Xing, Y. Wang*, W. Pei*, X. Guo, and H. Chen, "A high-speed SSVEP-based BCI using dry electrodes", Scientific Reports, vol. 8, p. 14708, 2018.

[34] C. Yang, X. Han, Y. Wang, R. Saab, S. Gao, and X. Gao*, "A Dynamic Window Recognition Algorithm for SSVEP-Based Brain-Computer Interfaces Using Spatio-Temporal Equalizer", Int. J. Neural Syst., p. 1850028, 2018.

[33] X. Chen, B. Zhao, Y. Wang, S. Xu*, X. Gao*, "Control of a 7-DOF Robotic Arm System with an SSVEP-based BCI", Int. J. Neural Syst., vol. 28, no. 8, p. 1850018, 2018.

[32] M. Xu*, X. Xiao, Y. Wang, H. Qi, T. P. Jung and D. Ming, " A brain computer interface based on miniature event-related potentials induced by very small lateral visual stimuli ", IEEE Trans. Biomed. Eng., vol. 65, no. 5, pp. 1166-1175, 2018.

[31] X. Xing, W. Pei*, Y. Wang, X. Guo, H. Zhang, Y. Xie, Q. Gui, H. Chen, "Assessing a novel Micro-seepage electrode with flexible tips for wearable EEG acquisition", Sensors & Actuators: A. Physical, v. 270, pp. 262-270, 2018.

[30] M. Nakanishi, Y. Wang*, X. Chen, Y. T. Wang, X. Gao, T. P. Jung, "Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis", IEEE Trans. Biomed. Eng., vol. 65, no. 1, pp. 104-112, 2018.

[29] Y. Wang, X. Chen, X. Gao*, S. Gao, "A benchmark data set for SSVEP-based brain-computer interfaces", IEEE Trans. Neural Syst. Rehab. Eng., vol. 25, no. 10, pp.1746-1752, 2017.

[28] X. Guo, W. Pei*, Y. Wang, Q. Gong, H. Zhang, X. Xing, Y. Xie, Q. Gui, and H. Chen, "A self-wetting paper electrode for ubiquitous biopotential recording", IEEE Sensors Journal, vol. 17, no. 9, pp. 2654-2661, 2017.

[27] X. Chen, Y. Wang*, S. Zhang, S. Gao, Y. Hu, X. Gao*, "A novel stimulation method for multi-class SSVEP-BCI using inter-modulation frequencies", J. Neural Eng., vol.14, no.2, p. 026013, 2017.

[26] T. Töllner*#, Y. Wang#, T. P. Jung, S. Makeig, H. J. Müller, and K. Gramann, "Two Independent Frontal Midline Theta Oscillations During Conflict Detection and Adaptation in the Simon Task", J. Neurosci., vol. 37, no. 9, pp. 2504-2515, 2017.

[25] W. Pei*, H. Zhang, Y. Wang, X. Guo, X. Xing, Y. Huang, Y. Xie, X. Yang, H. Chen, "Skin-potential variation insensitive dry electrodes for ECG recording", IEEE Trans. Biomed. Eng., vol. 64, no. 2, pp. 463-470, 2017.

[24] Y. T. Wang, M. Nakanishi, Y. Wang, C. K. Cheng, T. P. Jung*, "An Online Brain-Computer Interface Based on SSVEPs Measured From Non-Hair-Bearing Areas ", IEEE Trans. Neural Syst. Rehab. Eng., vol. 25, no. 1, pp. 11-18, 2017.

[23] M. Xu, Y. Wang*, M. Nakanishi, Y. T. Wang, H. Qi, T. P. Jung, D. Ming*, "Fast detection of covert visuospatial attention using hybrid N2pc and SSVEP features ", J. Neural Eng., vol.13, no.6, p. 066003, 2016.

[22] X. Guo, W. Pei, Y. Wang, Y. Chen, H. Zhang, X. Wu, X. Yang, H. Chen, "A human-machine interface based on single channel EOG and patchable sensor", Biomedical Signal Processing and Control, vol. 30, pp. 98-105, 2016.

[21] J. Li, Y. Wang, L. Zhang, A. Cichocki, T. P. Jung, " Decoding EEG in Cognitive Tasks with Time-frequency and Connectivity Masks", IEEE Transactions on Cognitive and Mental Systems, vol.8, no. 4, pp. 298-308, 2016.

[20] K. Lin, A. Cinetto, Y. Wang, X. Chen, S. Gao, X. Gao, "An online hybrid BCI system based on SSVEP and EMG", J. Neural Eng., vol. 13, p. 026020, 2016.

[19] X. Chen, Y. Wang*, M. Nakanishi, X. Gao*, T. P. Jung, S. Gao, "High-speed spelling with a noninvasive brain-computer interface", Proc. Natl. Acad. Sci. U.S.A., vol.112, no.44, E6058-E6067, 2015.

[18] M. Nakanishi, Y. Wang*, Y. T. Wang, T. P. Jung, "A comparison study of canonical correlation analysis based methods for detecting steady-state visual evoked potentials", PLoS ONE, vol. 10, no. 10, e140703, 2015.

[17] X. Chen, Y. Wang*, S. Gao, T. P. Jung, X. Gao*, "Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain-computer interface", J. Neural Eng., vol. 12, p. 046008, 2015.

[16] P. Yuan, X. Chen, Y. Wang, X. Gao, S. Gao*, "Enhancing Performances of SSVEP-based Brain-computer Interfaces via Exploiting Inter-subject Information", J. Neural Eng., vol. 12, p.046006, 2015.

[15] X. Zhang, Y. T. Wang, Y. Wang, T. P. Jung, M. Huang, C. K. Cheng, A. J. Mandell, "Ultra-slow frequency bands reflecting potential coherence between neocortical brain regions", Neuroscience, vol. 289, pp. 71-84, 2015.

[14] M. Nakanishi, Y. Wang*, Y. T. Wang, Y. Mitsukura, T. P. Jung, "Generating visual flickers for eliciting robust steady-state visual evoked potentials at flexible frequencies using monitor refresh rate", PLoS ONE, vol. 9, no. 6, e99235, 2014.

[13] M. Nakanishi, Y. Wang*, Y. T. Wang, Y. Mitsukura, T. P. Jung, "A high-speed brain speller using steady-state visual evoked potentials", Int. J. Neural Syst., vol. 24, no. 6, pp. 1-18, 2014.

[12] S. Gao, Y. Wang, X. Gao, B. Hong, "Visual and Auditory Brain-Computer Interfaces", IEEE Trans. Biomed. Eng., vol. 61, no. 5, pp. 1436-1447, 2014.

[11] Y. P. Lin, Y. Wang*, C. S. Wei, T. P. Jung*, "Assessing the Quality of Steady-state Visual-evoked Potential for Moving Human Using a Mobile Electroencephalogram Headset", Front. Hum. Neurosci., vol. 8, p. 182, 2014.

[10] P. Yuan, X. Gao, B. Allison, Y. Wang, G. Bin, S. Gao, "A Study on Existing Problems of Information Transfer Rate Estimation in Online Brain-computer Interfaces", J. Neural Eng., vol. 10, p. 026014, 2013.

[9] Y. Wang, Y. T. Wang, T. P. Jung, "Translation of EEG Spatial Filters from Resting to Motor Imagery Using Independent Component Analysis", PLoS ONE, vol. 7, no. 5, e37665, 2012.

[8] Y. M. Chi, Y. T. Wang, Y. Wang, C. Maier, T. P. Jung, G. Cauwenberghs, "Dry and Non-contact EEG Sensors for Mobile Brain-Computer Interfaces", IEEE Trans. Neural Syst. Rehab. Eng., vol. 22, pp. 228-235, 2012.

[7] Y. Wang, and T. P. Jung, "A Collaborative Brain Computer Interface for Improving Human Performance", PLoS ONE, vol. 6, no. 5, e20422, 2011.

[6] Y. T. Wang*, Y. Wang*, and T. P. Jung, "A Cell-phone based Brain Computer Interface for Communication in Daily Life", J. Neural Eng., vol. 8, p. 025018(5pp), 2011.

[5] Y. Wang, Y. T. Wang, and T. P. Jung, "Visual Stimulus Design for High-Rate SSVEP BCI", Electron. Lett., vol.46, no. 15, pp. 1057-1058, 2010.

[4] Y. Wang, X. Gao, B. Hong, C. Jia, and S. Gao, "Brain-Computer Interfaces Based on Visual Evoked Potentials: Feasibility of Practical System Designs", IEEE EMB. Mag., vol.27, no.5, pp.64-71, 2008.

[3] Q. Wei, Y. Wang, X. Gao, and S. Gao, "Amplitude and Phase Coupling Measures for Feature Extraction in An EEG-based Brain-Computer Interface", J. Neural Eng., vol.4, pp.120-129, 2007.

[2] Y. Wang, R. Wang, B. Hong, X. Gao, and S. Gao, "A Practical VEP-Based Brain-Computer Interface", IEEE Trans. Neural Syst. Rehab. Eng.,vol.14, no.2, pp.234-239, 2006.

[1] Y. Wang, Z. Zhang, Y. Li, X. Gao, S. Gao, F. Yang, "BCI Competition 2003 Dataset IV: An Algorithm Based on CSSD and FDA for Classifying Single-Trial EEG", IEEE Trans. Biomed. Eng., vol.51, no.6, pp.1081-1086, 2004.