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Yanfei Kang, Ph.D
Associate Professor 
School of Economics and Management 
Beihang University 
Beijing 100191 China
 
Email: yanfeikang@buaa.edu.cn 
Please feel free to contact me if you are interested in my research areas!

Research Interests

  • Forecasting
  • Statistical Computing
  • Big Data and Machine Learning

Education

Positions

  • November 2016 – Present, Associate Professor, School of Economics and Management, Beihang University.
  • August 2015 – August 2016, Senior R&D Engineer, Big Data Group, Baidu Inc.
  • August 2014 – July 2015, Postdoc Research Fellow, Monash University, Australia.

Working Papers

  1. Yanfei Kang, Evangelos Spiliotis, Fotios Petropoulos, Nikolaos Athiniotis, Feng Li, Vassilios Assimakopoulos (2019). Déjà vu: forecasting with similarity (under review). Working paper.
  2. Thiyanga Talagala, Feng Li, Yanfei Kang (2019). FFORMPP: Feature-based forecast model performance prediction (under review). Working paper.
  3. Xiaoqian Wang, Yanfei Kang, Fotios Petropoulos, Feng Li (2019). Que será será? The uncertainty estimation of feature-based time series forecasts (under review). Working paper.
  4. Xixi Li, Yanfei Kang, Feng Li (2019). Forecasting with time series imaging (under review). Working paper.

Publications

  1. Yanfei Kang, Rob J Hyndman, Feng Li (2020). GRATIS: GeneRAting TIme Series with diverse and controllable characteristics (in press), Statistical Analysis and Data Mining, Working paper. R package. Shiny app.
  2. Yitian Chen, Yanfei Kang*, Yixiong Chen, Zizhuo Wang (2020). Probabilistic Forecasting with Temporal Convolutional Neural Network (in press), Neurocomputing, doi:10.1016/j.neucom.2020.03.011. Online.
  3. 康雁飞、李丰（2019 译）. 预测：方法与实践（第二版）（Hyndman & Athanasopoulos 著. Forecasting: Principles and Practice）. 在线版本.
  4. Feng Li, Yanfei Kang* (2018). Improving forecasting performance using covariate-dependent copula models, International Journal of Forecasting 34(3): 456-476, doi:10.1016/j.ijforecast.2018.01.007. Online.
  5. Yanfei Kang*, Rob J. Hyndman, Kate Smith-Miles. (2017). Visualising Forecasting Algorithm Performance using Time Series Instance Space. International Journal of Forecasting 33(2): 345–358, doi: 10.1016/j.ijforecast.2016.09.004. Online.
  6. Yanfei Kang, Danijel Belusic, Kate Smith-Miles. (2015). Classes of Structures in the Stable Atmospheric Boundary Layer. Quarterly Journal of the Royal Meteorological Society 141(691): 2057–2069, doi: 10.1002/qj.2501. Online.
  7. Yanfei Kang. (2015). Detection, classification and analysis of events in turbulence time series. Bulletin of the Australian Mathematical Society 91(3): 521-522, doi: 10.1017/S0004972715000106. Online.
  8. Yanfei Kang, Danijel Belusic, Kate Smith-Miles. (2014). Detecting and classifying events in noisy time series. Journal of the Atmospheric Sciences 71(3): 1090–1104, doi: 10.1175/JAS-D-13-0182.1. Online.
  9. Yanfei Kang, Danijel Belusic, Kate Smith-Miles. (2014). A note on the relationship between turbulent coherent structures and phase correlation. Chaos: An Interdisciplinary Journal of Nonlinear Science 24(2) 023114: 1-6, doi: 10.1063/1.4875260. Online.
  10. Yanfei Kang, Danijel Belusic, Kate Smith-Miles. (2013). How to extract meaningful shapes from noisy time-series subsequences? In: Proceedings of the 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM). IEEE, pp. 65–72, doi: 10.1109/CIDM.2013.6597219. Online.
  11. Yanfei Kang. (2012). Real-time change detection in time series based on growing feature quantization. In: Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1–6, doi: 10.1109/IJCNN.2012.6252381. Online.

Awards

  • 100-Talent Program, by Beihang University, 2016.
  • Best New Employee, by Baidu, 2015.
  • Ph.D. scholarship for oversea studies, by Chinese Scholarship Council (CSC), 2010.
  • First Class Scholarship, by Renmin University of China, 2009.
  • Outstanding Graduate of Shandong University of Finance and Economics, 2009.
  • National Scholarship, by Ministry of Education of China, 2008.