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中国科学院大学研究生导师简介-王毅军

中国科学院大学 免费考研网/2016-05-09

王毅军 男半导体研究所
职位:研究员,博士生导师
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室
邮政编码:100083
电话:**

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
专利与奖励青年****,2015
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
1. 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., doi:10.1073 / pnas.**, 2015.
2. 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.
3. Y. Wang, X. Gao, S. Gao, "Computational modeling and application of steady-state visual evoked potentials in brain-computer interfaces", Science (supplement), vol. 350, no. 6256, pp. 43-46, 2015.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. Y. Wang, and T. P. Jung, "A Collaborative Brain Computer Interface for Improving Human Performance", PLoS ONE, vol. 6, no. 5, e20422, 2011.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.

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