教育经历：

访问：北京师范大学，认知神经科学与学习国家重点实验室

博士：德国慕尼黑大学，ISD研究所，脑神经影像处理

主持与参加的科研项目（部分）：

• 国家自然科学基金，61701298，复杂网络二类幂律演化机制及其在fMRI脑网络疾病检测中的应用；

• 国家自然科学基金，61702324，大数据环境下基于生物医学本体的文献无监督分类方法研究；

• 国家自然科学基金，61911540482，大数据环境下生物医学文本信息实时采集架构及文本深度向量聚类方法研究；

• 德国Alzheimer’s Forschung Initiative (AFI)项目，Diagnoseverfahren zur Früherkennung der Alzheimer-Krankheit；

• 欧盟委员会European Commission (ERC)基金项目，PCIG12GA2012334259，Vascular and Aymloid Predictors of Neurodegeneration and Cognitive Decline in Nondemented Subjects；

• 德国慕尼黑大学LMU Excellent Initiative基金项目，Automated Neuroimaging-Based Diagnostics of Alzheimer’s Disease: The Alzheimer’s Disease Computational Medicine (ADDMe) Study；

• 欧盟FP6 ERA-NET NEURON基金项目，01 EW1207， Mechanisms of Small Vessel Related Brain Damage and Cognitive Impairment: Integrating Imaging Findings from Genetic and Sporadic Disease(MESCOG)；

• 教育部博士点基金，20093108110019，基于泛在网络的协同服务传递过程分析与系统研究；

• 上海市教委科研创新重点项目，14ZS085，大数据时代城市智能交通信息服务社会民生发展研究；

发表论文摘录：

• Yifei Zhang, Xuhong Liao, Xiaodan Chen, Xinyuan Liang, Zhijiang Wang, Teng Xie, Xiao Wang, Huali Wang, Yong He. Altered Weibull Degree Distribution in Resting-State Functional Brain Networks in Alzheimer’s disease, Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, 2020.

• Yuhu Shi, Weiming Zeng, Jin Deng, Weifang Nie, Yifei Zhang, The identification of Alzheimer’s disease using functional connectivity between activity voxels in resting-state fMRI data, IEEE Journal of Translational Engineering in Health and Medicine, 2020, 8: 1400211.

• Yifei Zhang, Lee Simon-Vermot, Miguel Ángel Araque Caballero, Benno Gesierich, Alexander N. W. Taylor, Martin Dichgans, Michael Ewers, Alzheimer’s Disease Neuroimaging initiative(ADNI). Enhanced resting-state functional connectivity between core memory-task activation peaks is associated with memory impairment in MCI, Neurobiology of Aging, 2016.

• Yifei Zhang, Shi Shan, Chunning Yan, Junping Qiu, Li Xiong. Herdan-Heaps law Corresponds to Power-law: A Dynamic Perspective from Simon’s Model, Journal of Quantitative Linguistics, 2016.

• Yifei Zhang, Miguel Ángel Araque Caballero, Benno Gesierich, Alexander N. W. Taylor, Lee Simon-Vermot, Michael Ewers, Alzheimer’s Disease Neuroimaging initiative(ADNI). Increased resting state functional connectivity associated with episodic memory impairment in mild cognitive impairment, Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, 2015.

• Yifei Zhang, Shi Shan, Junping Qiu, Chunning Yan. Heaps’ law: A dynamic perspective from Simon’s model, Proceedings of ISSI 2013 – 14th International Society of Scientometrics and Informetrics Conference, Vienna, 2013.

• YiFei Zhang, Shi Shan, JingDa Ding. Some Characterizations for a Class of Skew Distributions and Its Applications, Geomatics and Information Science of Wuhan University, 2012.

• YiFei Zhang, Shi Shan, Shan Xue, JiYang Zhang. Some Characteristics on Economists’ Collaboration Networks, The 8th Chinese Conference of Complex Networks, Nanjing, China, Oct. 12-14, 2012.

• Lee Simon-Vermot, Yifei Zhang, Miguel Ángel Araque Caballero, Benno Gesierich, Kambeitz-llankovic Lana, Brendel Mrendel, Rominger Axel, Bartenstein Peter, Duering Marco, Michael Ewers, Alzheimer’s Disease Neuroimaging initiative(ADNI). Temporo-parietal hypometabolism is associated with reduced functional connectivity of the default mode network in prodromal Alzheimer’s disease, Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, 2015.

• Shi Shan, Dinghua Shi, Yifei Zhang. A relation between power law distributions and heaps’ law, Proceedings of ISSI 2013 – 14th International Society of Scientometrics and Informetrics Conference, Vienna, 2013.

• Shi Shan, Yifei Zhang, JingWei Sun. Towards a Theory of Scale-Free Graphs and Scale-Free Functions, The 8th Chinese Conference of Complex Networks, Nanjing, China, Oct. 12-14, 2012.

• Shi Shan, Yifei Zhang, JingWei Sun. A Class of Power Law Distributions and Densification Power laws, The 7th Chinese Conference of Complex Networks, Chengdu, China, Oct. 21-24, 2011.

• Li Xiong, Yifei Zhang, Changling Han. A research on the relationship between Zipf Law and Heaps’ Law in ubiquitous network collaborative service delivery, CNAIS2011, Shanghai, Dec. 2-4, 2011.

• JinWei. S., Shi S., YiFei Z., Rank-Size Form of Zipf’s Law and Its Probability Interpretation Based on Random Graph Dynamics. Geomatics and Information Science of Wuhan University, 2010.

• Shi S., JinWei. S., YiFei Z., Rank-Size Form and the Size-Frequency Form of Zipf’s Law and Preferential Attachment Graph Processes. Geomatics and Information Science of Wuhan University, 2010.

专利：

• 一种基于可变分组的偏态分布最优参数估计方法；

• 一种阿尔茨海默症早期认知功能下降预测方法；