Research Interests:
Big Data Mining, Machine Learning, Social Networks Analysis, Sentiment Analysis, Economic and Financial Forecasting
Education experience:
2016.09-2019.06 Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences Management Science and Engineering Ph.D.
2013.09-2016.06 School of Mathematics and Statistics, Lanzhou University Applied Statistics M.Sc.
2009.09-2013.07 School of Finance and Economics, Qinghai University Information Management and Information Systems B.Sc.
Working experience:
2019.07 till now School of Management, Xi’an Jiaotong University Associate Professor
2018.07-2018.10 City University of Hong Kong, School of Data Science Research Assistant
2017.06-2017.09 University of Hong Kong, Department of Systems Engineering and Engineering Management Research Assistant
Honors and Awards:
1. 2020, Outstanding Doctoral Dissertation Award, granting unit: Chinese Society of Systems Engineering.
2. 2018, Special Prize of Scholarship for the Dean of the Academy of Mathematics and Systems Sciences, granting unit: Chinese Academy of Sciences, Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences.
3. 2018, Tang Lixin Scholarship of University of Chinese Academy of Sciences, granting unit: University of Chinese Academy of Sciences.
4. 2017, Outstanding Paper Award of the 14th National Academic Conference on Youth Management Science and Systems Science (2017), granting unit: Chinese Society of Systems Engineering.
5. 2015, National scholarship, granting unit: Ministry of Education.
Teaching courses
Management research methodology
Statistical analysis of complex data
Data, models, and decisions
Academic Publications:
1. Shaolong Sun, Shouyang Wang, Yunjie Wei*. A new multiscale decomposition ensemble approach for forecasting exchange rates. Economic Modelling, 2019
2. Shaolong Sun, Yunjie Wei, Kwok-Leung Tsui, Shouyang Wang*. Forecasting tourist arrivals with machine learning and internet search index. Tourism Management, 2019, 70:1-10.
3. Shaolong Sun, Yuying Sun, Shouyang Wang, Yunjie Wei*. Interval decomposition ensemble approach for crude oil price forecasting. Energy Economics, 2018, 76:274-287.
4. Shaolong Sun, Shouyang Wang, Yunjie Wei*, Guowei Zhang. A clustering-based nonlinear ensemble approach for exchange rates forecasting. IEEE Transactions on Systems Man Cybernetics: Systems, 2018, DOI: 10.1109/TSMC.2018.2799869.
5. Shaolong Sun, Shouyang Wang*, Guowei Zhang, Jiali Zheng. A decomposition clustering ensemble learning approach for solar radiation forecasting. Solar Energy, 2018, 163: 189-199.
6. Kai Gan, Shaolong Sun*, Shouyang Wang, Yunjie Wei. A secondary decomposition ensemble learning paradigm for forecasting PM2.5 concentration. Atmospheric Pollution Research, 2018, 9: 989-999.
7. Mingfei Niu, Yueyong Hu, Shaolong Sun*, Yu Liu. A novel hybrid decomposition ensemble model based on VMD and HGWO for container throughput forecasting. Applied Mathematical Modelling, 2018, 57:163-178.
8. Shaolong Sun, Han Qiao, Yunjie Wei, Shouyang Wang*. A new dynamic integrated approach for wind speed forecasting. Applied Energy, 2017, 197: 151-162.
9. Shaolong Sun, Han Qiao, Yunjie Wei*, Shouyang Wang, A hybrid approach based on improved relevance vector regression and feature extraction algorithm for stock trend forecasting, Transylvanian Review, 2017, Vol XXV, No. 13, 3698-3709.
10. Mingfei Niu, Kai Gan, Shaolong Sun*, Fengying Li. Application of decomposition-ensemble learning paradigm with phase space reconstruction for day-ahead PM2.5 concentration forecasting. Journal of Environmental Management, 2017, 196:110-118.
11. Mingfei Niu, Shaolong Sun*, Jing Wu, Lean Yu, Jianzhou Wang. An innovative integrated model using the singular spectrum analysis and nonlinear multi-layer perceptron network optimized by hybrid intelligent algorithm for short-term load forecasting. Applied Mathematical Modelling, 2016, 40:4079-4093.
12. Mingfei Niu, Yufang Wang, Shaolong Sun*, Yongwu Li. A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting. Atmospheric Environment, 2016, 137:168-180.
13. Mingfei Niu, Shaolong Sun*, Jie Wu, Yuanlei Zhang. Short-term wind speed hybrid forecasting model based on bias correcting study and its application. Mathematical Problems in Engineering, 2015, Article ID 351354, 13 pages, http://dx.doi.org/10.1155/2015/351354.
14. Yunjie Wei, Shaolong Sun, Quanying Lu, Shouyang Wang. Analysis and calculation of the impact of the Sino-US trade war on my country's related product exports (MER-2018-10), March 2018
15. Yuying Sun, Yunjie Wei, Shaolong Sun, Shouyang Wang. Analysis and forecast of my country's import and export situation in 2018 (MER-2018-02), January 2018-Premier Li Keqiang's instruction
16. Yunjie Wei, Shaolong Sun, He Liu, Xun Zhang, Shouyang Wang. Analysis of the impact of Trump's economic policies on the RMB exchange rate and policy recommendations (MER-2017-03), January 2017
17. Yunjie Wei, Shaolong Sun, Jiali Zheng, Qin Bao, Shouyang Wang. Analysis of the impact of Trump's election as US President on Sino-US economic and trade (MER-2017-02), January 2017-Premier Li Keqiang's instruction
18. Qin Bao, Yuying Sun, Shaolong Sun, Chao Li, Shouyang Wang. Analysis and forecast of my country's import and export situation from 2016 to 2017 (MER-2016-10), December 2016
Academic Projects
1. 2018.07—2018.10 City University of Hong Kong, School of Data Science, Research Assistant
2. 2017.06—2017.09 City University of Hong Kong, Department of Systems Engineering and Engineering Management, Research Assistant
3. 2018.01-now Research on the deep learning prediction method of the bulk commodity market oriented to Internet data (National Natural Science Foundation of China)
4. 2017.04-now Tourism Big Data Forecast and Early Warning Research (Major Research Project of Beijing Tourism Commission)
5. 2017.03-now Economic forecast and policy analysis (National Natural Science Foundation of China Emergency Management Project)
6. 2016.09-now Research on the RMB exchange rate (Key Project of the Center for Forecasting Science and Research, Chinese Academy of Sciences)
7. 2016.09-now Research on Global Port Container Traffic and Passenger and Freight Traffic Forecast of China's Top 20 Airports (Key Project of the Center for Forecasting Science and Technology, Chinese Academy of Sciences)
8. 2018.01-now Research on Port Container Throughput Forecast Based on Decomposition and Integration Methodology and Data Characteristic Analysis (General Project of National Natural Science Foundation of China)
9. 2017.06-now Research on the safety, reliability and emergency management of high-speed railway and subway systems (major research project of the Research Grants Bureau of the Hong Kong Special Administrative Region)
10. 2016.09-now Research on Monitoring and Early Warning of China's Main Business Indicators (Key Project of Ministry of Commerce)