王毅军  男  博导  中国科学院半导体研究所
电子邮件: wangyj@semi.ac.cn
通信地址: 北京市海淀区清华东路甲35号1号楼524A
邮政编码: 100083
部门/实验室:光电子研究发展中心

研究领域

神经工程,脑-机接口,生物医学信号处理,模式识别

教育背景

2001-09--2007-07   清华大学   博士
1997-09--2001-07   清华大学   学士

工作经历

2015-06--     中国科学院半导体研究所 研究员
2012-03--2015-04 加州大学圣迭戈分校 助理项目科学家
2008-02--2012-02 加州大学圣迭戈分校 博士后研究员

专利与奖励

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

出版信息

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.

 

科研活动

高速率脑机接口方法研究,中国科学院战略性先导科技专项,子课题负责人,300万,2018-01--2022-12

基于脑电的群体脑功能成像方法及其在群体脑-机接口中的应用,国家自然科学基金面上项目,项目主持人,58万,2017-01--2020-12

基于神经电信号的信息反馈计算模型及应用,国家自然科学基金重点项目,主要参与人,480万,2015-01--2019-12

在互动游戏中探索儿童的社会脑:动作意图、概率线索和反馈的认知神经机制,国家自然科学基金青年基金项目,主要参与人,24万,2015-01--2017-12