Qin Xiwen
 
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- Professor
 - Supervisor of Doctorate Candidates
 - Supervisor of Master's Candidates
 - Name (Pinyin):Qin Xiwen
 - E-Mail:
 - Date of Employment:2002-07-01
 - Administrative Position:大数据科学研究院院长兼学科办副主任
 - Education Level:Postgraduate (Postdoctoral)
 - Business Address:南湖校区办公楼1429
 - Contact Information:0431-85716300
 - Degree:Doctoral degree
 - Professional Title:Professor
 - Status:Employed
 - Alma Mater:中国科学院研究生院
 - Teacher College:研究生院
 - Discipline:Other specialties in Statistics
Probability and Mathematical Statistics 
                Contact Information
            - ZipCode:
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 - Email:
 
- Paper Publications
 
- Qin Xiwen,【SCI3区通讯作者秦喜文来源自选课题】China's Carbon Dioxide Emissions Forecast Based on Improved Marine Predator Algorithm and Multi-kernel Support Vector Regression.Environmental Science and Pollution Research,2022:1
 - Qin Xiwen,A novel dimension reduction algorithm based on weighted kernel principal analysis for gene expression data.plos one,2021:1
 - Qin Xiwen,Correlation Analysis and Prediction of Stock Based on VMD-LASSO Model.Economic Computation and Economic Cybernetics Studies and Research,2021:1
 - Qin Xiwen,The Fault Diagnosis of Rolling Bearing Based on Improved Deep Forest.Shock and Vibration,2021:1
 - Qin Xiwen,(会EI)Facial feature location based on improved ASM.2012 International Conference on Electrical Insulating Materials and Electrical Engineering, EIMEE 2012,2012:1
 - Qin Xiwen,董小刚.【SCI】The Fault Diagnosis of Rolling Bearing Based on Variational Mode Decomposition and Iterative Random Forest.Shock and Vibration,2020:1
 - Qin Xiwen,The Fault Diagnosis of Rolling Bearing Based on Ensemble Empirical Mode Decomposition and Random Forest.Shock and Vibration,2017:1
 - Qin Xiwen,【重要】基于EMD的中国股票市场分形特征研究.吉林大学学报(信息科学版),2016:2
 - Qin Xiwen,【没检索】Volatility and Periodicity of Shanghai Composite Index Based on Ensemble Empirical Mode Decomposition.Conference Proceedings of The 7th International Institute of Statistics & Management Engineering Symposium,2015:2
 - Qin Xiwen,[会议没检索]Cross wavelet Analysis for the Time-frequency Effects of Money Supply and Consumption Volatility.International Journal of Applied Mathematics & Statistics (IJAMAS),2014:1
 
        