北京师范大学文理学院

数据科学与大数据技术系

姚力

个人信息简介

姓名:姚力 学历:博士 职称:教授

科研项目

国家自然科学基金重点项目《基于神经影像的立体视觉舒适度神经机制研究》,课题编号:61731003,合同金额339万,执行期:2018.1-2022.12。

国家自然科学基金重大研究计划重点项目《基于神经影像反演的三维图像重构》,课题编号:91320201,合同金额270万,执行期:2014.10-2016.12。

国家自然科学基金重大国际合作项目《神经影像信息处理及应用-老年痴呆的鉴别、早期预测与预防》,课题编号:61210001,合同金额270万,执行期:2012.01-2017.12。

国家自然科学基金重点项目《基于认知的实时功能磁共振成像的理论与关键技术》,课题编号:60931003,合同金额210万,执行期:2009.01-2013.12。

著作论文

[1] Yang ZK, Chen CS, Yao L*, Zhao XJ*. Unsupervised Classifications of Depression Levels Based on Machine Learning Algorithms Perform Well as Compared to Traditional Norm-Based Classifications. Frontiers Psychiatry,14 February 2020.

[2] Long Z, Wang Y, Liu X, Yao L*. Two-step paretial least square regression classifiers in brain-state decoding using functional magnetic resonance imaging. PLoS One. 2019 Apr 10; 14(4):e0214937.

[3] Long Z., Wang Z., Zhang J., Zhao X., Yao L*. Temporally constrained ICA with threshold and its application to fMRI data. BMC Medical Imaging 2019 vol. 19:6, DOI: 10.1186/s12880-018-0300-6.

[4] Zheng YW, Zhao XJ and Yao L*. The assessment of the visual discomfort caused by vergence‐accommodation conflicts based on EEG. Journal of the Society for Information Display 27.10 (2019). DOI: 10.1002/jsid.789.

[5] Li, Q, Wu, X, Xu*, LL, Chen, KW, Yao L*.Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Unimpaired Individuals Using Multi-feature Kernel Discriminant Dictionary Learning. Frontiers in Computational Neuroscience. Jan 9 2018. 11:117, DOI: 10.3389/fncom.2017.00117

[6] Li, Y; Zhang, CC; Hou, CP; Yao L*; Zhang, JC; Long, ZY*. Stereoscopic processing of crossed and uncrossed disparities in the human visual cortex. BMC Neuroscience. DEC.21,2017,18:80 DOI: 10.1186/s12868-017-0395-7

[7] Xu, LL; Wu, X*; Chen, KW; Yao L*. Supervised within-class-similar discriminative dictionary learning for face recognition.Journal of Visual Communication and Image Representation 2016,38:561-572,DOI: 10.1016/j.jvcir.2016.04.003

[8] Guo XJ, Wang Y, Guo TM, Chen KW, Zhang JC, Li K, Jin Z, Yao L*. Structural covariance networks across healthy young adults and their consistency. Journal of Magnetic Resonance Imaging 2015, 42(2): 261-268. DOI: 10.1002/jmri.24780.