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Jun Sun

B 122
+49 261 287-2786

Research area:

  • Network theory
  • Machine learning and data mining

Open thesis topic:

Competed thesis:


Sun, J., Staab, S., & Karimi, F. (2018). Decay of Relevance in Exponentially Growing Networks. In H. Akkermans, Fontaine, K., Vermeulen, I., Houben, G. -J., & Weber, M. S. (Eds.), Proceedings of the 10th ACM Conference on Web Science (WebSci '18) (pp. 343-351). ACM. [Link]
Sun, J., Staab, S., & Kunegis, J. (2018). Understanding Social Networks Using Transfer Learning. Computer, 51(6), 52-60. doi:10.1109/MC.2018.2701640
Sengupta, K., Sun, J., Menges, R., Kumar, C., & Staab, S. (2017). Analyzing the Impact of Cognitive Load in Evaluating Gaze-based Typing. In 30th IEEE International Symposium on Computer-based Medical Systems (Vol. Special Track on Multimodal Interfaces for Natural Human Computer Interaction: Theory and Applications). IEEE.
Kunegis, J., Karimi, F., & Jun, S. (2017). The Problem of Action at a Distance in Networks and the Emergence of Preferential Attachment from Triadic Closure. Journal Of Interdisciplinary Methodologies And Issues In Science, 2. doi:10.18713/JIMIS-140417-2-4
Sun, J., Kunegis, J., & Staab, S. (2016). Predicting User Roles in Social Networks using Transfer Learning with Feature Transformation. In Proc. ICDM Workshop on Data Mining in Networks. IEEE. doi:10.1109/ICDMW.2016.0026
Ji, Y., Sun, J., Nica, A., Jerzak, Z., Hackenbroich, G., & Fetzer, C. (2016). Quality-Driven Disorder Handling for M-way Sliding Window Stream Joins. In 2016 IEEE 32nd International Conference on Data Engineering (ICDE) (p. 493--504). IEEE. doi:10.1109/ICDE.2016.7498265
Sun, J., & Kunegis, J. (2016). Wiki-talk Datasets. doi:10.5281/zenodo.49561