Can Wang
Guest PhD candidate
- Name
- C. Wang MSc
- Telephone
- +31 71 527 4799
- c.wang@liacs.leidenuniv.nl
- ORCID iD
- 0000-0002-2865-4626
Can joined LIACS in January, 2018 as a PhD candidate under the supervision of Prof. Holger H. Hoos and Prof. Thomas Bäck. Before joining LIACS, she was a researcher at School of Computing, National University of Singapore. Can received her master degrees from École Centrale Paris (France) and Université libre de Bruxelles (Belgium) by majoring in computer science in 2017.
More information about Can Wang
Research Group
Can's research interests include automated machine learning, dynamic data analytics, data mining and general machine learning. Currently she is working at project 'Dynamic Data Analytics through automatically Constructed Machine Learning Pipelines Acronym: DACCOMPLI'.
Guest PhD candidate
- Science
- Leiden Inst of Advanced Computer Science
- Wang C., Baratchi M., Bäck T.H.W., Hoos H.H., Limmer S. & Olhofer M. (2022), Towards time-series feature engineering in automated machine learning for multi-step-ahead forecasting. Rojas I., Pomares H., Valenzuela O., Rojas F. & Herrera L.J. (Eds.), Engineering Proceedings. The 8th International Conference on Time Series and Forecasting 27 June 2022 - 30 June 2022 no. 18: MDPI. 17.
- Wang C., Bäck T.H.W., Hoos H.H., Baratchi M., Limmer S. & Olhofer M. (2019), Automated Machine Learning for Short-term Electric Load Forecasting, 2019 IEEE Symposium Series on Computational Intelligence (SSCI). 2019 IEEE Symposium Series on Computational Intelligence (SSCI) 6 December 2019 - 9 December 2019: IEEE. 314-321.
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