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
研究领域
招生信息
招生专业
招生方向
教育背景
学位
1997-09--2001-07 清华大学 生物医学工程 学士
工作经历
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
工作简历
教授课程
奖励
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)
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
出版信息
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 1st 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.
发表论文
科研活动
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
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
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
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
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
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
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