If you made any changes in Pure these will be visible here soon.

Fingerprint Dive into the research topics where Yulong Pei is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Sampling Engineering & Materials Science
Streaming Mathematics
Clustering algorithms Engineering & Materials Science
Feature extraction Engineering & Materials Science
Learning systems Engineering & Materials Science
Health Engineering & Materials Science
Kuramoto Model Mathematics
Multilayer neural networks Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2016 2020

  • 42 Citations
  • 11 Conference contribution
  • 6 Article
  • 1 Paper
  • 1 Phd Thesis 1 (Research TU/e / Graduation TU/e)

Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling

Du, X., Pei, Y., Duivesteijn, W. & Pechenizkiy, M., 2020, (Accepted/In press) In : Data Mining and Knowledge Discovery.

Research output: Contribution to journalArticleAcademicpeer-review

Fairness in network representation by latent structural heterogeneity in observational data

Du, X., Pei, Y., Duivesteijn, W. & Pechenizkiy, M., 2020, (Accepted/In press) Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

On local and global graph structure mining

Pei, Y., 5 Feb 2020, (Accepted/In press) Eindhoven: Technische Universiteit Eindhoven. 198 p.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)

Open Access
2 Downloads (Pure)

Cluster-preserving sampling from fully-dynamic streaming graphs

Zhang, J., Zhu, K., Pei, Y., Fletcher, G. & Pechenizkiy, M., 1 May 2019, In : Information Sciences. 482, p. 279-300 22 p.

Research output: Contribution to journalArticleAcademicpeer-review

Graph in graph theory
1 Citation (Scopus)
Kuramoto Model
Complex Networks

Student theses

Implicit feedback based context-aware recommender for music light system

Author: Li, S., 30 Oct 2017

Supervisor: Pechenizkiy, M. (Supervisor 1), Pei, Y. (Supervisor 2) & Aliakseyeu, D. (External coach)

Student thesis: Master


Tink, a temporal graph analytics library for Apache Flink

Author: Ligtenberg, W., 27 Mar 2017

Supervisor: Fletcher, G. (Supervisor 1), Pechenizkiy, M. (Supervisor 2), Pei, Y. (Supervisor 2) & Serebrenik, A. (Supervisor 2)

Student thesis: Master