神经工程，脑－机接口，生物医学信号处理，模式识别

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

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

2023年  中国脑-机接口“华瑙学者奖”杰出青年奖

2022年  2022年度IEEE EMBS Best Paper Award第一名（TBME）

2022年  全球前2%顶尖科学家榜单

2022年  中国科学院首届职工技能大赛人工智能领域二等奖

2021年  北京脑科学与类脑研究中心“北脑学者”

2021年  2021年度IOP China Top Cited Paper Award

2021年  微软学术脑机接口全球顶尖前100名学者（第10名）

2021年  全球前2%顶尖科学家榜单

2019年  第三届中国脑机接口比赛技术赛一等奖

2015年  第二届中国脑机接口比赛第一名（视频展示）

2015年  国家高层次人才计划青年项目

2013年  UC Proof of Concept Commercialization Gap Grant Award

2010年  Beyond BMI Workshop Young Investigator Travel Award

2009年  全国百篇优秀博士学位论文提名奖

2007年  教育部高等学校科学技术奖自然科学奖二等奖

2007年  清华大学优秀博士学位论文一等奖

2005年  第三届国际脑-机接口竞赛数据集I/IVa/IVc第一名

2003年  第二届国际脑-机接口竞赛数据集IV第一名

2003年  中国生物医学电子学年会青年论文竞赛一等奖

Q. Sun, S. Zhang, G. Dong, W. Pei, X. Gao, Y. Wang*, High-Density Electroencephalogram Facilitates the Detection of Small Stimuli in Code-Modulated Visual Evoked Potential Brain-Computer Interfaces. Sensors, 24(11):3521, 2024.

L. Zheng, Y. Dong, S. Tian, W. Pei, X. Gao, Y. Wang*, A calibration-free c-VEP based BCI employing narrow-band random sequences, J. Neural Eng., 21(2):026023, 2024.

M. Gu, W. Pei, X. Gao, Y. Wang*, Optimizing Visual Stimulation Paradigms for User-Friendly SSVEP-Based BCIs, IEEE Trans. Neural Syst. Rehab. Eng., 32:1090-1099, 2024.

M. Gu, W. Pei, X. Gao, Y. Wang*, An open dataset for human SSVEPs in the frequency range of 1-60 Hz, Sci. Data, 11:196, 2024.

K. Liu, Z. Yao, L. Zheng, Q. Wei*, W. Pei, X. Gao, Y. Wang*, A high-frequency SSVEP-BCI system based on a 360 Hz refresh rate, J. Neural Eng., 20(4):046042, 2023.

R. Hu, G. Ming, Y. Wang*, X. Gao*, A sub-region combination scheme for spatial coding in a high-frequency SSVEP-based BCI, J. Neural Eng., 20(4):046018, 2023.

Y. Huang, Y. Huan, Z. Zou, W. Pei, X. Gao, Y. Wang* and L. Zheng*, A Wearable Group-synchronized EEG System for Multi-subject Brain-Computer Interfaces, Front. Neurosci., 17:1176344, 2023.

Y. Deng, Q. Sun, C. Wang, Y. Wang*, S. Zhou*, TRCA-Net: Using TRCA filters to boost the SSVEP classification with convolutional neural network, J. Neural Eng., 20(4):046005, 2023.

G. Ming, H. Zhong, W. Pei, X. Gao, Y. Wang*, A new grid stimulus with subtle flicker perception for user-friendly SSVEP-based BCIs, J. Neural Eng., 20(2):026010, 2023.

G. Ming, W. Pei, X. Gao, Y. Wang*, A high-performance SSVEP-based BCI using imperceptible flickers, J. Neural Eng., 20(1):016042, 2023.

X. Chen*, B. Liu, Y. Wang*, X. Gao, A Spectrally-dense Encoding Method for Designing A High-speed SSVEP-BCI with 120 Stimuli, IEEE Trans. Neural Syst. Rehab. Eng., 30:2764-2772, 2022.

L. Zheng, W. Pei, X. Gao, L. Zhang, Y. Wang*, A High-Performance Brain Switch Based on Code-Modulated Visual Evoked Potentials, J. Neural Eng., 19(1):016002, 2022.

B. Liu, X. Chen, X. Li, Y. Wang*, X. Gao*, S. Gao, Align and Pool for EEG Headset Domain Adaptation (ALPHA) to Facilitate Dry Electrode Based SSVEP-BCI, IEEE Trans. Biomed. Eng., 69(2), 795-806, 2022. (IEEE TBME feature article)

X. Liu, B. Liu, G. Dong*, X. Gao, Y. Wang*, Facilitating Applications of SSVEP-based BCIs by Within-subject Information Transfer, Front. Neurosci., 16:863359, 2022.

Q. Sun, L. Zheng, W. Pei, X. Gao, Y. Wang*, A 120-Target BCI Based on Code Modulated Visual Evoked Potentials, J. Neurosci. Meth., 375:109597, 2022.

S. Zhao, C. Wang, C. Feng, Y. Wang*, W. Feng*, The interplay between audiovisual semantic congruency and temporal synchrony in the cross-modal boost on attentional blink, Hum. Brain Mapp., 43(8):2478-2494, 2022.

L. Jiang, X. Li, W. Pei, X. Gao, Y. Wang*, A hybrid brain-computer interface based on visual evoked potential and pupillary response, Front. Hum. Neurosci., 16:834959, 2022.

L. Jiang, W. Pei, Y. Wang*, A User-friendly SSVEP-based BCI Using Imperceptible Phase-coded Flickers at 60Hz, China Commun., 19(2):1-14, 2022.

G. Ming, W. Pei, H. Chen, X. Gao, Y. Wang*, Optimizing Spatial Properties of a New Checkerboard-Like Visual Stimulus for User-Friendly SSVEP-Based BCIs, J. Neural Eng., 18:056046, 2021.

X. Gao#, Y. Wang#, X. Chen, S. Gao*, Interface, Interaction, and Intelligence in Generalized Brain-Computer Interfaces, Trends Cogn. Sci., 25(8):671-684, 2021.

H. Zhao, Y. Chen, W. Pei, H. Chen, Y. Wang*, Towards Online Applications of Visual Evoked Potentials-Based Biometrics, Expert Syst. Appl., 177:114961, 2021.

F. Zhu, L. Jiang, G. Dong*, X. Gao, Y. Wang*, An Open Dataset for Wearable SSVEP-Based Brain-Computer Interfaces, Sensors, 21(4), 1256, 2021.

S. Zhao, C. Feng, X. Huang, Y. Wang*, W. Feng*, Neural basis of semantically dependent and independent cross-modal boosts on the attentional blink, Cereb. Cortex, 31(4):2291-2304, 2021.

X. Chen*, X. Huang, Y. Wang*, X. Gao, Combination of augmented reality based brain-computer interface and computer vision for high-level control of a robotic arm, IEEE Trans. Neural Syst. Rehab. Eng., 28(12):3140-3147, 2020.

L. Zheng, S. Sun, H. Zhao, W. Pei, H. Chen, X. Gao, L. Zhang, Y. Wang*, A cross-session dataset for a collaborative BCI based on RSVP, Front. Neurosci., 14:579469, 2020.

S. Zhang, Y. Wang*, L. Zhang, X. Gao*, A Benchmark Dataset for RSVP-Based Brain-Computer Interfaces, Front. Neurosci., vol. 14, p. 568000, 2020.

X. Chen*, N. Hu, Y. Wang*, X. Gao, Validity of a brain-computer interface version of the digit symbol substitution test in healthy subjects, Comput. Biol. Med., 120:103729, 2020.

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., 67(11):3073-3082, 2020.

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., 67(8):2266-2275, 2020.

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., 17(1):016033, 2020.

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., 16(6):066007, 2019.

H. Zhao, Y. Wang*, Z. Liu, W. Pei, H. Chen, Individual identification based on code modulated visual evoked potentials, IEEE Trans. Inf. Forensics Security, 14(12):3206-3216, 2019.

Z. Yao, Y. Wang*, C. Yang, W. Pei, X. Gao, H. Chen, An online brain-computer interface in mobile virtual reality environments, Integr. Comput.-Aid. E., 26(4):345-360, 2019.

Z. Yao, X. Ma, Y. Wang*, W. Pei, H. Chen, High-speed spelling in virtual reality with sequential hybrid BCIs, IEICE Trans. Inf. Syst., E101-D(11):2859-2862, 2018.

X. Xing, Y. Wang*, W. Pei*, X. Guo, Z. Liu, F. Wang, G. Ming, H. Zhao, Q. Gui, and H. Chen, A high-speed SSVEP-based BCI using dry EEG electrodes, Sci. Rep., 8:14708, 2018.

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., 65(1):104-112, 2018. (ESI highly cited paper, 2022 IEEE EMBS Best Paper Award 1^st place)

Y. Wang, X. Chen, X. Gao*, S. Gao, A benchmark data set for SSVEP-based brain-computer interfaces, IEEE Trans. Neural Syst. Rehab. Eng., 25(10):1746-1752, 2017. (ESI highly cited paper, IEEE TNSRE feature article)

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., 14(2):026013, 2017.

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., 37(9):2504-2515, 2017.

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., 13(6):066003, 2016.

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., 112(44):E6058-E6067, 2015. (ESI highly cited paper)

Y. Wang, X. Gao, S. Gao*, Computational modeling and application of steady-state visual evoked potentials in brain-computer interfaces, Science (supplement), 350(6256):43-46, 2015.

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, 10(10):e140703, 2015.

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., 12:046008, 2015. (ESI highly cited paper)

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, 9(6):e99235, 2014.

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., 24(6):1-18, 2014.

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., 8:182, 2014.

Y. Wang*, Y. T. Wang, T. P. Jung, Translation of EEG Spatial Filters from Resting to Motor Imagery Using Independent Component Analysis, PLoS ONE, 7(5):e37665, 2012.

Y. Wang*, and T. P. Jung, A Collaborative Brain Computer Interface for Improving Human Performance, PLoS ONE, 6(5):e20422, 2011.

Y. T. Wang*, Y. Wang*, and T. P. Jung, A Cell-phone based Brain Computer Interface for Communication in Daily Life, J. Neural Eng., 8:025018, 2011. (JNE highlight paper)

Y. Wang*, Y. T. Wang, and T. P. Jung, Visual Stimulus Design for High-Rate SSVEP BCI, Electron. Lett., 46(15):1057-1058, 2010. (EL feature article)

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., 27(5):64-71, 2008.

D. Zhang, Y. Wang*, X. Gao, B. Hong, and S. Gao, An Algorithm for Idle State Detection in Motor Imagery Based Brain-Computer Interface, Comput. Intel. Neurosci., 2007:39714, 2007.

Y. Wang*, B. Hong, X. Gao, and S. Gao, Design of Electrode Layout for Motor Imagery Based Brain-Computer Interface, Electron. Lett., 43(10):557-558, 2007.

Y. Wang*, R. Wang, B. Hong, X. Gao, and S. Gao, A Practical VEP-Based Brain-Computer Interface, IEEE Trans. Neural Syst. Rehab. Eng., 14(2):234-239, 2006. (ESI highly cited paper)

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., 51(6):1081-1086, 2004.

2023-2026      高通量脑电信息读译控关键技术，国家重点研发计划“超微生机交互系统高通量读译控关键技术及应用”课题，子课题负责人，90 万元

2022-2025      高密度脑电信号精细解析算法研究，国家重点研发计划“柔性高密度主动式头皮生物电极设计与仪器开发”课题，课题负责人，400 万元

2022-2026      面向智能显示的高速率脑机交互技术研发，江苏省重点研发计划（产业前瞻与关键核心技术），项目负责人，300 万元

2021-2024      CIBR创新人才项目，北京脑科学与类脑研究中心，项目负责人，60 万元

2021-2024      基于个性化空间编码调制的视觉脑-机接口方法研究，国家自然科学基金面上项目，项目负责人，64 万元

2020-2021      亚秒级非侵入式脑机接口技术及通用系统研发，北京科技计划，课题负责人，120 万元

2018-2023      高速率脑机接口方法研究，中科院B类战略性先导科技专项，子课题负责人，300 万元

2017-2020      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，项目负责人，58 万元

2015-2018      脑机接口，国家高层次人才计划青年项目，项目负责人，300 万元