• Yingying Bao, a former master student in our group, will be at EDM 2017 to present our accepted short paper in June 2017.
  • I will be at LAK 2017 for my accepted poster paper and the Post-MOOC Development Workshop that I co-organised in March 2017.

About Me

I am a Ph.D. candidate working in the Learning Analytics team of the Web Information Systems (WIS) Group in the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS/EWI), Delft University of Technology. Before joining the WIS group, I received my Bachelor degree and Master degree from the South China University of Technology by majoring in Software Engineering and focusing on the research of Recommender Systems.

My current research domain is Massive Open Online Courses (MOOCs). I explore and analyze the traces generated by MOOC learners and aim to enrich learner models through external data sources, in particular, the Social Web with the goal of improving engagement and retention in MOOCs.

[ My CV ]

Research Interests

  • Data Science
  • Web Science
  • Learning Analytics
  • User Modeling
  • Recommender Systems
  • Text Mining
  • Machine Learning


[ Google Scholar ] [ DBLP ]





  • Guanliang Chen, Li Chen (2014). Recommendation Based on Contextual Opinions. In Proceedings of 22nd International Conference on User Modelling, Adaption and Personalisation, pp. 61-73, Aalborg, Denmark. UMAP'14, Springer. [Best Student Paper Nominee]



Selected Awards

  • UMAP Student Travel Grant (2014, 2016)
  • Research Grant Studentship by Hong Kong Baptist University (2013 - 2014)
  • Chinese Government Scholarship for Graduates (2012 - 2013)


Mailing Address

EEMCS, Web Information Systems
P.O. Box 5031, 2600 GA Delft
The Netherlands

Office: HB 08.120
Email: guanliang.chen[at] or angus.glchen[at]