个人简历

2009/9 至 2014/7 太原理工大学计算机科学与技术学院，讲师
2014/8 至 2017/12 太原理工大学计算机科学与技术学院，副教授
2015/8 至 今 中国科学院自动化研究所，博士后
2018/1 至 今 太原理工大学信息与计算机学院，副教授
2018/5 至 2018/11新加坡南洋理工大学，访问学者

研究领域

智能信息处理、大数据、脑信息学、智慧医疗      

近期论文

1、Guo H, Li Y, Xu Y, et al. Resting-State Brain Functional Hyper-Network Construction Based on Elastic Net and Group Lasso Methods[J]. Frontiers in neuroinformatics, 2018, 12. (Index by SCI, IF=3.074, 二区)
2、Guo H, Yan P, Cheng C, et al. fMRI classification method with multiple feature fusion based on minimum spanning tree analysis[J]. Psychiatry research: Neuroimaging, 2018, 277: 14. (Index by SCI, IF= 2.455, 三区)
3、Hao Guo, Mengna Qin, Junjie Chen, Yong Xu and Jie Xiang. Machine-learning classifier for patients with major depressive disorder: multi-feature approach based on a high-order minimum spanning tree functional brain network[J]. Computational and Mathematical Methods in Medicine. 2017,12 (Index by SCI, IF=1.545, 四区)
4、Hao Guo, Fan Zhang, Junjie Chen, Yong Xu and Jie Xiang. Machine Learning Classification Combining Multiple Features of A Hyper-network of fMRI Data in Alzheimer’s Disease[J]. Frontiers in neuroscience, 2017,11:615(Index by SCI, IF=3.877, 二区)
5、Guo H, Liu L, Chen J, et al. Alzheimer classification using a minimum spanning tree of high-order functional network on fMRI Dataset[J]. Frontiers in neuroscience, 2017, 11: 639. (Index by SCI, IF=3.877, 二区)
6、Cheng C, Chen J, Cao X, Guo H*. Comparison of local information indices applied in resting state functional brain network connectivity prediction[J]. Frontiers in Neuroscience, 2016, 10. (Index by SCI, IF=3.877，二区)
7、Chen D W, Han N, Chen J J, Guo H*. Novel Algorithm for Measuring the Complexity of Electroencephalographic Signals in Emotion Recognition[J]. Journal of Medical Imaging and Health Informatics, 2017, 7(1): 203-210. (Index by SCI, IF=0.549, 四区)
8、Guo, H., et al., Resting-state functional connectivity abnormalities in first-onset unmedicated depression[J]. Neural Regen Res. 2014;9(01):153-163. (Index by SCI, IF=2.234, 四区)\