Jingyi (Rina) Cheng

PhD student

Jingyi Cheng is a PhD student in SUM lab from June, 2023. Her research interests are related to real time decision making with reinforcement learning hybrid methods, complex-system inspired learning in networks and real time predictions with machine learning methods. 

Jingyi obtained her BSc degree in Econometrics and Operation Research at Erasmus University Rotterdam, 2021. And she is obtaining the MSc degree in Computational Science (joint degree) at University of Amsterdam and Vrije Universiteit Amsterdam in 2023.

 

Publication: 

• A hybrid approach for aspect-based sentiment analysis using a double rotatory attention model (https://www.inderscienceonline.com/doi/abs/10.1504/IJWET.2022.125085) (APA citation: Zhou, G., Cheng, J., & Frasincar, F. (2022). A hybrid approach for aspect-based sentiment analysis using a double rotatory attention model. International Journal of Web Engineering and Technology, 17(1), 3-28.)

Working paper:

• Data-driven real-time demand forecasting and dynamic hot spot clustering for an on-demand meal delivery platform ( Cheng, J. and Sharif Azadeh, S.)