CHINESE

Ling Tang

 
Ling TANG
Mailbox 17, School of Economics and Management, Beijing University of Chemical Technology Beisanhuan East Road 15, Chaoyang District, Beijing, 100029, P.R. China
Email: tangling@mail.buct.edu.cn
Research Interests
Associate Professor, School of Economics and Management, Beijing University of Chemical Technology, Beijing, China                         Jul. 2012- Present
Ø  Research Interests: Data Ming; Risk Management; Industry Forecasting; Energy Policy Simulation; Emergency Management
Education
PhD., Graduate University of Chinese Academy of Sciences, Beijing
Ø  Major: Management Science and Engineering
Ø  Research Interests: Data Mining; Policy Simulation
Ø  Advisor: Professor Weixuan Xu
B.E., College of Water Conservancy and Civil Engineering, China Agriculture University, Beijing                                         Sep. 2002- Jun.2006
Ø  Major: Agricultural Architecture, Environment and Energy Engineering
Research Projects
Director, NSFC Project (#71301006): Data-Characteristic-Driven Forecasting Methodology and Application in Clean Energy Market        Jan. 2014- Dec. 2016         
Ø  Propose a novel forecasting methodology for clean energy market based on the concept of "data-characteristic- driven modeling", in order to improve the prediction performance.
Ø  A novel integrated data characteristics testing scheme will be first built for clean energy market.
Ø  A novel data-characteristic- driven forecasting methodology will be proposed accordingly, where related technologies are carefully formulated based on data characteristics of clean energy data in terms of independent variable selection, function design, parameter evaluation.
Ø   
Co-PI, NSFC Key Project (#91224001): Unconventional Emergencies Forecasting and Management,                                         Jan. 2013- Dec. 2015
Ø  Discover efficient policies to control unconventional emergencies, based on various simulation models, e.g. Agent-based model and System Dynamics model.
Prizes and Awards
Ø  Best Doctoral Dissertation Award of Chinese Academy of Sciences, Chinese academy of sciences, 2013.
Ø  Special Prize of President Scholarship for Postgraduate Students, Chinese Academy of Sciences, 2012.
Ø  Second Prize for Nation's Excellent Research Achievements, National Economy Information Center, 2010.
Ø  Best Paper Award of the 8th International Conference on Risk Management & Financial Systems Engineering, 2010
Ø  Best Paper Award of the 5th Annual Congress of Chinese Academy of Management, 2010
Journal Papers
1.       Ling Tang, Shuai Wang*, Kaijian He, Shouyang Wang, A Novel Mode-Characteristic-based Decomposition Ensemble Model for Nuclear Energy Consumption Forecasting, Annals of Operations Research, online, 2014.  (DOI 10.1007/s10479-014-1595-5)
2.       Ling Tang, Wei Dai, Lean Yu*, A novel CEEMD-based EELM ensemble learning paradigm for crude oil price forecasting. International Journal of Information Technology & Decision Making, 2015, 13: 1-29.
3.       Ling Tang, Lean Yu*, Kaijian He. A Novel Data-Characteristic-Driven Modeling Methodology for Nuclear Energy Consumption Forecasting. Applied Energy, 2014, 128: 1-14.
4.       Ling Tang, Lean Yu*, Weixuan Xu, An Integrated Data Characteristic Testing Scheme for Complex Time Series Data Exploration, International Journal of Information Technology & Decision Making, 2013, 12(3): 491-521.
5.       Ling Tang, Zishu Wang, Xinxie Li, Lean Yu*, Guoqing Zhang. A Novel Hybrid FA-based LSSVR Learning Paradigm for Hydropower Consumption Forecasting. Journal of Systems Science and Complexity, accepted, 2015
6.       Ling Tang, Lean Yu*, Jianping Li, Shouyang Wang, A Novel Hybrid Ensemble Learning Paradigm for Nuclear Energy Consumption Forecasting, Applied Energy, Volume 93, Pages 432-443, 2012.
7.       Lean Yu, Yang Zhao, Ling Tang*. A Compressed Sensing based AI Learning Paradigm for Crude Oil Price Forecasting. Energy Economics, 2014, Volume 46, Pages 236-245.
8.       Lean Yu, Jingjing Li, Ling Tang*. Dynamic Volatility Spillover Effect Analysis between Carbon Market and Crude Oil Market: A DCC-ICSS Approach. International Journal of Global Energy Issues, online, 2014.
9.       Xiaolei Sun*, Ling Tang, Yuying Yang, Dengsheng Wu, Jianping Li. Identfying the dynamic relationship between tanker freight rates and oil prices: In the persperctive of multiscale relevance. Economic Modelling, 2014, 42, 287-295.
10.    Qin Bao, Ling Tang, Zhongxiang Zhang*, Shouyang Wang, Impacts of Border Carbon Adjustments on China’s Sectoral Emissions: Simulations with a Dynamic Computable General Equilibrium Model, China Economic Review,2013, Volume 24, Pages 77-94.
11.    Jianping Li, Ling Tang, Xiaolei Sun*, Dengsheng Wu, Oil-importing Optimal Decision Considering Country Risk with Extreme Events: A Multi-Objective Programming Approach. Computers & Operations Research, 2014, 42: 108-115.
12.    Jianping Li, Ling Tang, Xiaolei Sun*, Lean Yu, Wan He, Yuying Yang, Country Risk Forecasting for Major Oil-exporting Countries: A Decomposition Hybrid Approach, Computers & Industrial Engineering, 2012, 63(3): 641-651.
13.    Xiaolei Sun, Jianping Li*, Ling Tang, Dengsheng Wu. Identifying the Risk-return Tradeoff and Exploring the Dynamic Risk Exposure of Country Portfolio of the FSU's Oil Economies, Economic Modelling, 2012, 29: 2494-2503.
14.    Shuai Wang, Lean Yu*, Ling Tang, Shouyang Wang, A Novel Seasonal Decomposition Based Least Squares Support Vector Regression Ensemble Learning Approach for Hydropower Consumption Forecasting in China, Energy, 36(11): 6542-6554, 2011.
15.    Kaijian He*, Yang Xu, Yingchao Zou, Ling Tang. Electricity Price Forecasts using a Curvelet Denoising based Approach. Physica A, accepted, 2015.
16.    Rongdong Chen*, Yang Liu, Wenjin Wang, Ling Tang. Discovering the Impact of Systemic and Idiosyncratic Risk Factors on Credit Spread of Corporate Bond within the Framework of Intelligent Knowledge Management. Annals of Operations Research, online, 2014. (DOI: 10.1007/s10479-014-1727-y)
17.    Jianping Li, Xiaolei Sun, Wan He, Ling Tang, Weixuan Xu*, Modeling Dynamic Correlations and Spillover Effects of Country Risk: Evidence from Russia and Kazakhstan, International Journal of Information Technology & Decision Making, 2009, 8(4): 803-818.
18.    Ling Tang, Shuai Wang, Lean Yu*. A Novel Time Series Forecasting Approach Considering Data Characteristics. International Journal of Knowledge and Systems Science, 2014, 5(3): 46-53.