刘亚亚

作者: 时间:2024-03-20 点击数:

名:刘亚亚

职称:讲师

学历:博士研究生

研究方向:数据挖掘、智慧医疗、人工智能等。

个人简介:

刘亚亚,女,1990.01,出生于河北省石家庄市,博士研究生学历,讲师,2022年07月毕业于上海大学计算机应用技术专业,目前承担《计算机应用技术基础》等课程的教学工作,主要从事数据挖掘、智慧医疗、人工智能等方向的科学研究,在国内外著名学术期刊或会议公开发表多篇学术论文,其中以第一作者或通讯作者公开发表4篇,包括3篇SCI检索论文、1篇EI检索论文,参与1项国家重点研发计划项目,1项省级科研项目。

研究成果简述如下

[1] Xu Lingyu, Liu Yaya, Yu Jie, Li Xinjuan, Yu Xuan, Cheng Huiyi, Li Jun. Characterizing autism spectrum disorder by deep learning spontaneous brain activity from functional near-infrared spectroscopy [J]. Journal of neuroscience methods, 2020, 331:108538. (SCI)

[2] Liu Yaya, Xu Lingyu, Li Jun, Yu Jie, Yu Xuan. Attentional Connectivity-based Prediction of Autism Using Heterogeneous rs-fMRI Data from CC200 Atlas [J]. Experimental Neurobiology, 2020, 29(1): 27-37. (SCI)

[3] Liu Yaya, Xu Lingyu, Yu Jie, Li Jun, Yu Xuan. Identification of autism spectrum disorder using multi-regional resting-state data through an attention learning approach [J]. Biomedical Signal Processing and Control, 2021, 69(2):102833. (SCI)

[4] Liu Yaya, Jiang Jiulei, Xu Lingyu, Zhao Lishuang. Formalization of Business Process with Flexibility Based on Service Interaction [C].  IEEE International Conference on Dependable, Autonomic and Secure Computing; IEEE International Conference on Big Data Intelligence and Computing; IEEE International Conference on Pervasive Intelligence and Computing; IEEE Cyber Science and Technology Congress. 2017. (EI)

[5] Yu Xuan, Shi Suixiang, Xu Lingyu, Yu Jie, Liu Yaya, Wang Lei. A directed limited penetrable visibility graph (DLPVG)-based method of analysing sea surface temperature [J]. Remote Sensing Letters, 2019, 10(7): 609-618. (SCI)

[6] Yu Xuan, Shi Suixiang, Xu Lingyu, Yu Jie, Liu Yaya. Analyzing dynamic association of multivariate time series based on method of directed limited penetrable visibility graph [J]. Physica A: Statistical Mechanics and its Applications, 2020, 545: 123381. (SCI)

[7] Yu Xuan, Shi Suixiang, Xu Lingyu, Liu Yaya, Miao Qingsheng, Sun Miao. A Novel Method for Sea Surface Temperature Prediction Based on Deep Learning [J]. Mathematical Problems in Engineering, 2020, 2020(7): 1-9. (SCI)

 

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