王毅军

工作经历

2008.2 - 2012.2  美国加州大学圣迭戈分校神经计算研究所（Institute for Neural Computation, University of California San Diego），博士后研究员（Postdoctoral Fellow），导师：钟子平教授（Supervisor: Prof. Tzyy-Ping Jung）

2012.3 - 2015.4  美国加州大学圣迭戈分校神经计算研究所（Institute for Neural Computation, University of California San Diego），助理项目科学家（Assistant Project Scientist）

2015.6 - 至今（to present） 中国科学院半导体研究所（Institute of Semiconductors, Chinese Academy of Sciences），研究员（Research Fellow）

获得荣誉

1. 清华大学优秀博士学位论文一等奖（First Prize of Outstanding Doctoral Dissertation Award of Tsinghua University），2007

2. 全国百篇优秀博士学位论文提名奖（Nominee Award of Best 100 Doctoral Dissertations in China），2009

3. 青年千人计划（Thousand Youth Talents Plan），2015

发表论文

[34] Y. Wang, X. Chen, X. Gao, S. Gao, "A benchmark data set for SSVEP-based brain-computer interfaces", IEEE Trans. Neural Syst. Rehab. Eng., in press.

[33] 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, in press.

[32] 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.

[31] 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.

[30] 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.

[29] 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.

[28] 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.

[27] 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.

[26] 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.

[25] 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.

[24] 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.

[23] 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.

[22] 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.

[21] 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.

[20] 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.

[19] 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.

[18] 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.

[17] 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.

[16] 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.

[15] 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.

[14] Y. P. Lin, Y. Wang, T. P. Jung, "Assessing the feasibility of online SSVEP decoding for moving humans using a consumer EEG headset", J. Neuroeng. Rehab., vol.11, p. 119, 2014.

[13] 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.

[11] 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.

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

[9] 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.

[8] G. Bin, X. Gao, Y. Wang, Y. Li, B. Hong and S. Gao, "A High Speed BCI Based on Code Modulation VEP ", J. Neural Eng., vol. 8, p. 025015(5pp), 2011.

[7] 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.

[6] G. Bin, X. Gao, Y. Wang, B. Hong, and S. Gao, "VEP-Based Brain-Computer Interfaces: Time, Frequency, and Code Modulations", IEEE Comput. Intell. Mag., vol.4, no.4, pp.22-26, 2009.

[5] 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.

[4] 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.

[3] Y. Wang, B. Hong, X. Gao, and S. Gao, "Design of Electrode Layout for Motor Imagery Based Brain-Computer Interface", Electron. Lett., vol.43, no.10, pp.557-558, 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.