个人简历

教育背景
2019 电子科技大学 计算机软件与理论 工学博士
2015 电子科技大学 运筹学与控制论 理学硕士
2012 电子科技大学 数学与应用数学 理学学士
工作教育经历
2017-2018年 美国波士顿大学 国家留学基金委公派联合培养博士合作导师：H. Eugene Stanley
2013-2014年 百度在线网络技术（北京）有限公司 推荐与个性化部门实习

研究领域

云计算与大数据处理
主要研究方向是数据挖掘理论，复杂网络理论、时间学列分析等方法论应用研究互联网、信息推荐、生物医学、社会经济等系统的建模和仿真

近期论文

“Crossover phenomena of percolation transition in evolution networks with hybrid attachment”, Chaos, 26(8), 083114, 2016. （SCI影响因子2.643,引用：17）
“Suppressing epidemic spreading in multiplex networks with social- support”, New Journal of Physics, 20 (1), 013007, 2018.（SCI影响因子3.773, 引用：28）
“Optimal resource diffusion for suppressing disease spreading in multiplex networks”, Journal of Statistical Mechanics: Theory and Experimen,t 2018 (5), 053501, 2018. (SCI影响因子2.371，引用：32)
“Controlling epidemic outbreak based on local dynamic infectiousness on complex networks”, Chaos 28, 123105, 2018. (SCI影响因子2.643, 引用：4)
“Hybrid resource allocation and its impact on the dynamics of disease spreading”, Physica A: Statistical Mechanics and its Applications, 513, 156–165, 2018. (SCI影响因子2.5, 引用：3)
“Local information based resource allocation model for disease suppressing on complex networks”, Physica A: Statistical Mechanics and its Applications, 533 121968, 2019. (SCI影响因子2.5)
“Non-trivial Resource Amount Requirement in the Early Stage for Containing Fatal Diseases”, Accepted By Physical Review E , 2019. (SCI影响因子2.353, 引用：6) .
“Double-edged sword effect of edge overlap on asymmetrically interacting spreading dynamics”, Physica A: Statistical Mechanics and its Applications, 513, 156–165, 2018. (SCI影响因子2.5, 引用：1)
“Heterogeneous behavioral adoption in multiplex networks”, New Journal of Physics, 20, 125002, 2018. (SCI影响因子3.773, 引用：3)
“Social contagions with heterogeneous credibility”, Physica A: Statistical Mechanics and its Applications, 503, 604-610, 2018. (SCI影响因子2.5, 引用：15) .
“Complex contagions with social reinforcement from different layers and neighbors”, Physica A: Statistical Mechanics and its Applications, 503, 516-525, 2018. (SCI影响因子2.5, 引用：2) .
“Identifying the influential nodes via eigen-centrality from the differences and similarities of structure”, Physica A: Statistical Mechanics and its Applications, 510, 77-82, 2018 (SCI影响因子2.5) .