Yongluan Zhou

Yongluan Zhou

Professor


  1. Published

    Bayesian pairwise learning to rank via one-class collaborative filtering

    Zhou, W., Li, J., Zhou, Yongluan & Memon, M. H., 2019, In: Neurocomputing. 367, p. 176-187

    Research output: Contribution to journalJournal articlepeer-review

  2. Published

    ByteSeries: An In-Memory Time Series Database for Large-Scale Monitoring Systems

    Shi, X., Feng, Z., Li, K., Zhou, Yongluan, Jin, H., Jiang, Y., He, B., Ling, Z. & Li, X., 2020, SoCC '20: Proceedings of the 11th ACM Symposium on Cloud Computing. Association for Computing Machinery, p. 60-73

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  3. CBP: a new parallelization paradigm for massively distributed stream processing

    Guo, Q. & Zhou, Yongluan, 2017, Database Systems for Advanced Applications: 22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part II. Candan, S., Chen, L., Pedersen, T. B., Chang, L. & Hua, W. (eds.). Springer, Vol. Part II. p. 304-320 17 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  4. Cluster-based rank query over multidimensional data streams

    He, D., Zhou, Yongluan, Shou, L. & Chen, G., 2009, Proceedings of the 18th ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 1493-1496 4 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  5. Continuous skyline monitoring over distributed data streams

    Lu, H., Zhou, Yongluan & Haustad, J., 2010, Scientific and Statistical Database Management: 22nd International Conference, SSDBM 2010, Heidelberg, Germany, June 30–July 2, 2010. Proceedings. Gertz, M. & Ludäscher, B. (eds.). Springer, p. 565-583 19 p. (Lecture notes in computer science, Vol. 6187).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  6. Published

    Data Management in Microservices: State of the Practice, Challenges, and Research Directions

    Nunes Laigner, Rodrigo, Zhou, Yongluan, Vaz Salles, M. A., Liu, Yijian & Kalinowski, M., 2021, In: Proceedings of the VLDB Endowment. 14, 13, p. 3348–3361

    Research output: Contribution to journalConference articlepeer-review

  7. Data-driven memory management for stream join

    Wu, J., Tan, K. & Zhou, Yongluan, 1 Jun 2009, In: Information Systems. 34, 4-5, p. 454-467 14 p.

    Research output: Contribution to journalJournal articlepeer-review

  8. Published

    Deca: a Garbage Collection Optimizer for In-memory Data Processing

    Shi, X., Ke, Z., Zhou, Yongluan, Jin, H., Lu, L., Zhang, X., He, L., Hu, Z. & Wang, F., 2019, In: A C M Transactions on Computer Systems. 36, 1, 47 p., 3.

    Research output: Contribution to journalJournal articlepeer-review

  9. Demo: elastic mapreduce-style processing of fast data

    Madsen, K. G. S. & Zhou, Yongluan, 2013, DEBS’13: Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems Arlington, TX, USA — June 29 - July 03, 2013. Association for Computing Machinery, p. 335-336 2 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  10. Disseminating streaming data in a dynamic environment: an adaptive and cost-based approach

    Zhou, Yongluan, Ooi, B. C. & Tan, K., 2008, In: V L D B Journal. 17, 6, p. 1465-1483 19 p.

    Research output: Contribution to journalJournal articlepeer-review

ID: 178773533