Photo credit: Emilie Orgler

Yanjie Wang


B6, 26, Room B 003

y{lastname} (at)


I am a research assistant at the Chair of Data Analytics.


  • Data Mining and Matrices, FSS 2017, FSS 2018
  • Hot Topics for Machine Learning, HWS 2017
  • Data and Web Science Seminar, FSS 2017, HWS 2017, FSS 2018


  • Meilicke, C., Fink, M., Wang, Y., Ruffinelli, D., Gemulla, R. and Stuckenschmidt, H. (2018). Fine-grained evaluation of rule- and embedding-based systems for knowledge graph completion. In , The Semantic Web – ISWC 2018 : 17th International Semantic Web Conference, October 8 - 12, 2018 Monterey, California, USA : proceedings, part ... (S. tba). Lecture Notes in Computer Science, Springer: Cham.
  • Wang, Y., Gemulla, R. and Li, H. (2018). On multi-relational link prediction with bilinear models. In , The Thirty-Second AAAI Conference on Artificial Intelligence, The Thirtieth Innovative Applications of Artificial Intelligence Conference, The Eighth AAAI Symposium on Educational Advances in Artificial Intelligence : New Orleans, Louisiana USA (S. 4227-4234). , AAAI Press: Palo Alto, CA.


Y. Wang, S. Broscheit, R. Gemulla

A Relational Tucker Decomposition for Multi-Relational Link Prediction [arXiv]


Y. Wang, D. Ruffinelli, R. Gemulla, S. Broscheit, C. Meilicke
On Evaluating Embedding Models for Knowledge Base Completion [arXiv]