Research output per year
Research output per year
Personal profile
Short presentation
Yongluan Zhou is Associate Professor in the Department of Computer Science at the University of Copenhagen (UCPH). He is the co-head of the Data Management Systems Lab (DMS Lab), and the Head of Studies of the MSc in Computer Science.
Before joining UCPH, he had been an Associate Professor at the University of Southern Denmark (SDU) and a postdoc at Ecole Polytechnique Fédérale de Lausanne (EPFL). He obtained his PhD in Computer Science at the National University of Singapore (NUS). He also held visiting positions at several international institutes, including the University of Maryland at College Park, the Advanced Digital Sciences Center at the University of Illinois at Urbana-Champaign and INRIA Rennes.
His research interests span database systems and distributed systems. His recent research focuses on scalable streaming data processing and graph data processing. He has published over 60 research articles in international journals and conference proceedings.
Primary fields of research
Database Systems, Distributed Systems, Big Data, Cloud Computing
Current research
Consistent and efficient event-driven systems
Scalable stream processing systems
Big graph analysis systems
CV
Education
2002-2007 PhD in Computer Science, National University of Singapore
Academic Positions
| 2017-present | Associate Professor, University of Copenhagen |
| 2011 - 2017 | Associate Professor, University of Southern Denmark |
| 2008 - 2011 | Assistant Professor, University of Southern Denmark |
| 2007 - 2008 | Postdoc, École Polytechnique Fédérale de Lausanne |
Teaching
Knowledge of languages
English (fluent)
Danish (conversational)
Mandarin (native)
Education/Academic qualification
National University of Singapore
Aug 2002 → Jan 2007
Award Date: 14 Feb 2007
External positions
University of Southern Denmark
Jun 2008 → May 2017
Swiss Federal Institute of Technology Lausanne
Feb 2007 → May 2008
Fingerprint
Dive into the research topics where Yongluan Zhou is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
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Bayesian pairwise learning to rank via one-class collaborative filtering
Zhou, W., Li, J., Zhou, Y. & Memon, M. H., 20 Nov 2019, In: Neurocomputing. 367, p. 176-187Research output: Contribution to journal › Journal article › Research › peer-review
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Deca: a Garbage Collection Optimizer for In-memory Data Processing
Shi, X., Ke, Z., Zhou, Y., Jin, H., Lu, L., Zhang, X., He, L., Hu, Z. & Wang, F., Mar 2019, In: A C M Transactions on Computer Systems. 36, 1, 47 p., 3.Research output: Contribution to journal › Journal article › Research › peer-review
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Location-Centric View Selection in a Location-Based Feed-Following System
Chen, K. & Zhou, Y., 24 Jun 2019, Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems, DEBS 2019, Darmstadt, Germany, June 24-28, 2019.. p. 67-78 12 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Modeling and Building IoT Data Platforms with Actor-Oriented Databases
Wang, Y., Dos Reis, J. C., Borggren, K. M., Vaz Salles, M. A., Medeiros, C. B. & Zhou, Y., 2019, Proceedings of the International Conference on Extending Database Technology (EDBT). Kaoudi, Z., Galhardas, H., Fundulaki, I., Reinwald, B., Herschel, M. & Binnig, C. (eds.). OpenProceedings.org, p. 512-523 12 p. (Advances in Database Technology - EDBT, Vol. 2019-March).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Passive and partially active fault tolerance for massively parallel stream processing engines
Su, L. & Zhou, Y., 1 Jan 2019, In: IEEE Transactions on Knowledge and Data Engineering. 31, 1, p. 32-45Research output: Contribution to journal › Journal article › Research › peer-review
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Towards Low-Latency Batched Stream Processing by Pre-Scheduling
Jin, H., Chen, F., Wu, S., Yao, Y., Liu, Z., Gu, L. & Zhou, Y., 1 Mar 2019, In: IEEE Transactions on Parallel and Distributed Systems. 30, 3, p. 710-722 8444732.Research output: Contribution to journal › Journal article › Research › peer-review
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Graph Processing on GPUs: A Survey
Shi, X., Zheng, Z., Zhou, Y., Jin, H., He, L., Liu, B. & Hua, Q.-S., Jan 2018, In: A C M Computing Surveys. 50, 6, 35 p., 81.Research output: Contribution to journal › Review › peer-review
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Query-centric failure recovery for distributed stream processing engines
Su, L. & Zhou, Y., 24 Oct 2018, In: Proceedings - International Conference on Data Engineering. 2018, p. 1280-1283 4 p.Research output: Contribution to journal › Conference article › Research › peer-review