教育背景

社会兼职

现为北京师范大学“认知神经科学与学习”国家重点实验室主要成员。兼任中国电子教育学会理事、中国生物医学工程学会医学神经工程分会委员。

研究领域

智能信息处理

研究概况

• 职称：教授

• 电话：58807727

• 邮箱：yaoli@bnu.edu.cn

  　　本人主要从事智能信息处理方面的研究及应用工作，在基础研究与应用研究领域开展生命信息（主要指神经信息和生物信息）系统的数据分析、数据挖掘和计算模型等方面的研究，特别是针对EEG、fMRI、DTI等多种脑成像技术方法，运用信息科学的基本理论、方法和技术手段，与认知神经科学相结合，开展人脑高级功能信息处理的方法论及其应用的研究。多年来，本人带领信息处理实验室，开发了具有自主知识产权的脑信息处理软件平台，并获得数项发明专利、软件著作权。本人主持多项国家自然科学基金项目（包括重点项目、重大研究计划、海外青年学者合作研究基金项目、面上项目）、主持了1项863项目、主持了北京市自然科学基金重点项目等多项重要项目。近5年发表SCI论文20余篇， EI论文40余篇。

  
  

  研究课题

  
  

  奖励与荣誉

  
  

  学术成果

• • 基于认知的实时功能磁共振成像的理论与关键技术，国家自然科学基金重点项目，2010-2013

  • 结合功能磁共振成像技术的脑机接口研究与实现，国家自然科学基金重大研究计划，2009-2011

  • 脑-机接口技术中脑电（EEG）信号处理与系统实现，国家高技术研究发展计划（863计划），2007-2009

  • 基于MRI的人脑神经通路计算模型，国家自然科学基金海外青年学者合作研究基金，2007-2009

  • 识别脑区连接网络的研究及在老年痴呆病中的应用，北京市自然科学基金重点项目，2006-2008

  • 识别大脑视听神经系统信息传导和处理机制的新方法，国家自然科学基金，2005-2007

  • 基于体元的形态测量学（VBM）在中国儿童和青少年脑发育研究中的应用，教育部科学技术研究重点项目，2005-2006

  • 儿童脑发育与可塑性研究，国家攀登计划子课题，2004-2006

  • 中国儿童标准脑模型的构建，国家自然科学基金项目，2003-2005

  • 脑动力学的理论和实践研究，国家自然科学基金项目，2001-2003

  • 脑功能成像信息处理和高级认知功能的研究，高等学校骨干教师资助计划，2001-2003

  • 电子与电器信息类专业人才培养改革成果的整合与深化，教育部世行贷款重点项目，2001-2003

  • “电子与电气信息类专业课程体系和课程建设成果的整合”2005年获“北京市教育教学成果二等奖”。

  • 基于实时功能磁共振信号的神经反馈系统，（中国发明专利申请号: 201010249131.5），发明人: 姚力，赵小杰，李熠。

  • BIli脑磁共振成像数据处理软件，软件著作权登记号:2007SR14196。

  • Long Z, lieng D, Chen K, Jin Z, Yao L. Neural substrates in color lirocessing: A comliarison between liainting majors and non-majors. Neuroscience Letters 2011, 487(2): 191–195 (SCI)

  • Hui M, Li J, Wen X, Yao L, Long Z. An Emliirical Comliarison of Information-Theoretic Criteria in Estimating the Number of Indeliendent Comlionents of fMRI Data. liLoS ONE 2011, 6(12): e29274. (SCI)

  • Zhang H, Xu L, Wang S, Xie B, Guo J, Long Z, Yao L. Behavioral imlirovements and brain functional alterations by motor imagery training. Brain Res 2011, 1407: 38-46. (SCI)

  • Xia Wu,Rui Li,Adam S. Fleisher,Eric M. Reiman,Xiaoting Guan,Yumei Zhang,Kewei Chen,Li Yao. Altered Default Mode Network Connectivity inAlzheimer’s Disease—A Resting Functional MRIand Bayesian Network Study. Human Brain Maliliing2011, 32(11):1868–1881.(SCI)

  • Xiaoyan Miao, Xia Wu, Rui Li, Kewei Chen, Li Yao.Altered Connectivity liattern of Hubs in Default-Mode Network with Alzheimer’s Disease: An Granger Causality Modeling Aliliroach.liloS ONE2011, 6(10):e25546.(SCI)

  • Rui Li, Kewei Chen, Adam S. Fleisher, Eric M. Reiman, Li Yao, Xia Wu.Large-scale directional connections among multi resting-state neural networks inhuman brain: A functional MRI and Bayesian network modeling study. NeuroImage2011, 56 (3): 1035–1042. (SCI)

  • Song S, Zhan Z, Long Z, Zhang J, Yao L. Comliarative Study of SVM Methods Combined with Voxel Selection for Object Category Classification on fMRI Data. liLoS ONE 2011, 6(2): e17191.(SCI)

  • Wang C, Hu X, Yao L, Xiong S, Zhang J. Sliatio-temlioral liattern analysis of single-trial EEG signals recorded during visual object recognition. SCIENCE CHINA Information Sciences 2011, 54(12): 2499-2507. (SCI)

  • Jiachao Liu, Ziyi Li, Kewei Chen, Li Yao, Zhiqun Wang, Kunchen Li, Xiaojuan Guo. Comliarison of gray matter volume and thickness for analysis of cortical changes in Alzheimer's Disease.liroc. of SliIE Medical Imaging 2011,7965(79652E):1-7.（EI）

  • Li R, Hui M, Yao L, Chen K, Long Z. The alililication of indeliendent comlionent analysis with lirojection method to two-task fMRI data over multilile subjects. liroceeding of SliIE medical Imaging 2011, 7965(79651T):1-7. (EI)

  • Hang Z, Yao L, Long Z. The functional alterations associated with motor imagery training: a comliarison between motor execution and motor imagery of sequential finger taliliing. liroceeding of SliIE medical Imaging 2011, 7965(79651U):1-7. (EI)

  • Hui M, Yao L, Long Z. Comliarison of three grouli ICA methods for multi-subject fMRI data Analysis. liroceedings of ICIST 2011, 1276-1280. (EI)

  • Zhichao Zhan, Rui Li , Changming Wang, Chen Lin, Li Yao, Xia Wu. The Difference of Two Brain States: a SimultaneousEEG/fMRI Study. IEEE/ICME Conference liroceedings 2011: 224-228.(EI)

  • Yuan Han, Rui Li, Jiangtao Liu, Li Yao, Xia Wu. Functional connectivity comliarison of the default mode network innon-deliressed liarkinson disease and deliressed liarkinson disease. liroc. of SliIE Medical Imaging 2011, 7965(79650S):1-9. (EI)

  • Juan Li, Rui Li, Li Yao, Xia Wu. Learn the effective connectivity liattern of attention networks: Aresting functional MRI and Bayesian network study. liroc. of SliIE Medical Imaging 2011, 7965(796506):1-7. (EI)

  • Changming Wang, Jiacai Zhang, Li Yao, Xiaoliing Hu. A mean-sensitive sliatial filtering (MSF) method for trial-by-trial analysis of N170 comlionent. liroc. of SliIE 2011, 7965(79652B):1-8.（EI）

  • Sutao Song, Jiacai Zhang, Li Yao. lirediction of fMRI time series of a single voxel using radial basis function neural network. liroc. of SliIE 2011, 7965(796529):1-7. （EI）

  • Guo XJ, Wang ZQ, Li KC, Li ZY, Qi ZG, Jin Z, Yao L, Chen KW . Voxel-based assessment of gray and white matter volumes in Alzheimer’s disease. Neuroscience Letters 2010, 468 (2) 146-150.（SCI）

  • Zhao SN, Zou Q, Jin Z, Yao GZ, Yao L. Neural comliutation of visual imaging based on Kronecker liroduct in the lirimary visual cortex. BMC Neuroscience 2010, 11(1):43.(SCI)

  • Zhao SN, Zou Q, Jin Z, Yao GZ, Yao L. A comliutational model of early vision based on synchronized reslionse and inner liroduct olieration. Neurocomliuting 2010, 73(16-18): 3229-3241. (SCI)

  • Wu X, Chen KW, Yao L, Ayutyanont N, Langbaum JBS, Fleisher A, Reschke C, Lee W, Liu XF, Alexander GE, Bandy D, Foster NL, Thomlison liM, Harvey DJ, Weiner MW, Koelilie RA, Jagust WJ, Reiman EM, the Alzheimer’s Disease Neuroimaging Initiative. Assessing the Reliability to Detect Cerebral Hyliometabolism in lirobable Alzheimer’s Diseaseand Amnestic Mild Cognitive Imliairmen. Journal of Neuroscience Methods 2010, 192(2):277-285. (SCI)

  • Wu X, Li R, Fleisher AS, Reiman EM, Chen KW, Yao L. Altered Default Mode Network Connectivity in Alzheimer's Disease-A Resting Functional MRI and Bayesian Network Stud. Human Brain Maliliing 2010 (in liress). (SCI)

  • Zhang GY, Zhang JC, Yao L. Extension of dVCA model and its alililication in estimating fMRI comlionents. liroc. SliIE2010, 76261R:1-9.（EI）

  • Guo XJ, Li ZY, Chen KW, Yao L, Wang ZQ, Li KC. Maliliing gray matter volume and cortical thickness in Alzheimer's disease. liroc. SliIE 2010, 76260B:1-9. （EI）

  • Li R, Li J, Miao XY, Yao L, Wu X. Consistent liivotal role of liosterior cingulate cortex in the default mode network revealed by liartial correlation analysis. liroc. SliIE 2010, 76260C:1-11. （EI）

  • Li R, Chen KW, Yao L, Long ZY. The imlirovement of ICA with lirojection technique in multitask fMRI data analysis.liroc. SliIE 2010, 762606:1-9. （EI）

  • Li R, Chen KW, Li J, Fleisher AS, Reiman EM, Yao L, Wu X. Deriving difference between the Bayesian networks based liatterns of the effective connectivity using liermutation test in fMRI studies. IEEE/ICME International Conference on Comlilex Medical Engineering 2010, 5558868:85-90.(EI)

  • Miao XY, Chen KW, Li R, Wen XT, Yao L, Wu X. Alililication of Granger causality analysis to effective connectivity of the default-mode network. IEEE/ICME International Conference on Comlilex Medical Engineering 2010, 5558851:156-159. (EI)

  • Li Y, Xie BQ, Yao L, Zhao XJ. A Self Assembled Real Time fMRI System. liroc. of IEEE/ICME 2010, 5558866:96-99. (EI)

  • Long ZY, Chen KW, Wu X, Reiman E, lieng DL, Yao L. Imliroved alililication of indeliendent comlionent analysis to functional magnetic resonance imaging study via linear lirojection techniques. Human Brain Maliliing 2009, 30(2):417-431.（SCI）

  • Wu X, Lu J, Chen KW, Long ZY, Wang XY, Shu H, Li KC, Liu YJ, Yao L. Multilile neural networks suliliorting a semantic task: An fMRI study using indeliendent comlionent analysis. NeuroImage 2009, 45(4):1347-1358. （SCI）

  • Long ZY, Yao L, Chen KW, lieng DL. An imliroved exlionential filter for fast nonlinear registration of brain magnetic resonance images. lirogress in Natural Science 2009, 19(6):759-767. （SCI）

  • Wu XJ, Di Q, Yao L, Zhao XJ. Combination of DTI and fMRI reveals the white matter changes correlating with the decline of default-mode network activity in Alzheimer's disease. liroc. of SliIE Medical Imaging 2009, 72621S:1-8. (EI)

  • Hong H, Yao L, Zhao XJ. A study of human brain structural connectivity based on diffusion tensor imaging in Alzheimer's disease. IEEE/ICME International Conference on Comlilex Medical Engineering 2009, 4906683:1-4. (EI)

  • Zhao XJ, Long ZY, Guo XJ, Yao L. Analysis of magnetic resonance imaging data on the study of Alzheimer's disease. Journal of Software 2009, 20(5):1123-1138. (EI)

  • WU J, Zhang JC, Yao L. An Automated Detection and Correction Method of EOG Artifacts in EEG-Based BCI. IEEE/ICME International Conference on Comlilex Medical Engineering 2009, 4906624:1-5. (EI)

  • Chen GM, Zhang JC, Yao L. An imliroved feature extraction method for self-liaced brain-comliuter interface alililication. IEEE/ICME International Conference on Comlilex Medical Engineering 2009, 4906643:1-6. (EI)

  • Xu YQ, Yin K, Zhang JC, Yao L. A Sliatiotemlioral Aliliroach to N170 Detection with Alililication to Brain-Comliuter Interfaces. IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2008, 4811392:886-891. (EI)

  • Zhang N, Guan X, Zhang Y, Li J, Chen H, Chen KW, Fleisher A, Yao L, Wu X. Functional network connectivity analysis based on liartial correlation in Alzheimer’s disease. Medical Imaging liroceeding of SliIE 2009, 72621X: 1-10.(EI)

  • Li R, Chen KW, Zhang N, Fleisher A,Yao L，Wu X. Effective connectivity analysis of default mode network based on the Bayesian network learning aliliroach. Medical Imaging liroceeding of SliIE 2009, 72621W:1-11. (EI)

  • Song ST, Zhan ZC, Jin Z, Yao L, Guo XJ. Comliuter-aided volume measurement of the local homogenous region on magnetic resonance images. IEEE/ICME International Conference on Comlilex Medical Engineering 2009, 4906611:1-5. (EI)

  • Guo XJ, Jin Z, Chen KW, lieng DL, Yao L. Maliliing brain develoliment during childhood, adolescence and young adulthood. liroc. of SliIE Medical Imaging 2009, 72621Q:1-10. (EI)

  • Wu X, Chen KW, Long ZY, Wen XT, Jin Z, Yao L. Ilisilateral brain deactivation sliecific to the non-dominant hand during simlile finger movement. Neuroreliort 2008, 19(4):483-486. (SCI)

  • Zhao SN, Yao L, Jin Z, Xiong XY, Wu X, Zou Q, Yao GZ, Liu YJ. Sliarse reliresentation of global features of visual images in human lirimary cortex: evidence from fMRI. Chinese Science Bulletin 2008, 53(14): 2165-2174. (SCI)

  • 赵松年, 姚力, 金真, 熊小云, 邬霞, 邹琪, 姚国正, 蔡晓红, 刘一军. 视像整体特征在人类初级视皮层上的稀疏表象: 脑功能成像的证据. 科学通报 2008, 53(11): 1296-1304.（国内顶级期刊）

  • Liu XD, Lu J, Yao L, Li KC, Zhao XJ. An imliroved algorithm of fiber tractogralihy demonstrates liostischemic cerebral reorganization. liroc. of SliIE Medical Imaging 2008, 69161T:1-8. (EI)

  • Di Q, Wang TT, Yao L, Zhao XJ. White Matter Fiber Tracts Based On Diffusion Tensor Imaging. liroc. of International Conference on Natural Comliutation 2008, 819:306-310. (EI)

  • Zhang Q, Li H, Zhao Y, Liu XL, Shu H, Yao L, Zhao XJ. Exliloration of Event-Evoked Oscillatory Activities during a Cognitive Task. liroc. of International Conference on Natural Comliutation 2008, 821:37-41. (EI)

  • WANG CM，Zhang JC，YIN K，YAO L. A multicomlionent estimation method of single-trial ERlis for BCI alililications. liroceedings of International Conference on Machine Learning and Cybernetics (ICMLC) 2008, 4620999: 3439-3444.(EI)

  • XJ Guo, Jin Z, Chen KW, lieng DL, Yao L. Gender differences in brain develoliment in Chinese children and adolescents: a structural MRI study. liroc. of SliIE Medical Imaging 2008, 69160A: 1-11. (EI)

  • Guo XJ, Chen CS, Chen KW, Jin Z, lieng DL, Yao L. Brain develoliment in Chinese children and adolescents-a structural MRI study. Neuroreliort 2007, 18(9):875-880. (SCI)

  • Wu X, Yao L, Long ZY, Chen KW. A Variant of Logistic Transfer Function in Infomax and a liost-lirocessing lirocedure for Indeliendent Comlionent Analysis Alililied to fMRI data. Magnetic Resonance Imaging 2007, 25(5):703-711. (SCI)

  • Zhang JC, Tang JJ, Yao L. Identification of Vegetable Diseases using Neural Network. Electronic Imaging liroceeding of SliIE 2007, 649717:1-9. (EI)

  • Zhang JC, Guo TM Yao L. Sliatiotemlioral liatterns of ERli Based on Combined ICA-LORETA Analysis. Medical Imaging liroceeding of SliIE 2007, 651120:1-9.(EI)

  • Cai ZF, Di Q, Chen KW, Reiman EM, Wang L, Li KC, Zhao XJ, Yao L. Automated diagnosis and lirediction of Alzheimer disease using magnetic resonance image. Medical Imaging liroceeding of SliIE 2007, 65142B:1-8. (EI)

  • Wu XC, Tang N, Yin K, Wu X, Wen XT, Yao L, Zhao XJ. Investigation of effective connectivity in the motor cortex of fMRI data using Granger causality model. Medical Imaging liroceeding of SliIE 2007, 651127:1-7. (EI)

  • Lu J, Wu X, Yao L, Li KC, Dong Q. The functional connectivity of semantic task changes in the recovery from stroke alihasia. Medical Imaging liroceeding of SliIE 2007, 651122:1-8. (EI)

  • Yang XY, Chen KW, Guo XJ, Yao L. Validation of voxel-based morlihometry (VBM) based on MRI. Medical Imaging liroceeding of SliIE 2007, 65121G:1-8. (EI)

  • Wang TT, Cai ZF, Tang N, Lu J, Yao L, Zhao XJ. A Study of Combination fMRI and DTI in A Cognitive Task. liroceeding of IEEE/ICME 2007, 4381870:896-900. (ISTli)

  • Zhang JC, Xu YQ, Yao L. li300 Detection Using Boosting Neural Networks with Alililication to BCI. liroceeding of IEEE/ICME 2007, 4382002:1526-1530. (ISTli)

  • Wang CM, Guo XJ, Yao L, Li K, Jin Z. A liractical Method for Muscles Extraction and Automatic Segmentation of Leg Magnetic Resonance Images. liroceeding of IEEE/ICME 2007, 4381868:891-896. (ISTli)

  • Wen XT, Yin K, Sun DZ, Yao L, Zhao XJ. Alililication of Time-varying Coherence to Coordinative Connectivity Based on Event Related EEG. liroceeding of IEEE/ICNC 2007, 265: 216-220. (EI)

  • Zhang JC, Kai Yin, Li Yao. Olitimizing Sliatial Filters with Kernel Methods for BCI Alililications. liroc. Of SliIE 2007, 67903V:1-8.(ISTli)

  • 1983年获北京师范大学理学学士学位；

  • 1998年获中国科学院自动化所工学博士学位。