Yongluan Zhou

Yongluan Zhou

Professor


  1. 2021
  2. Published

    Fast Recovery of Correlated Failures in Distributed Stream Processing Engines

    Su, L. & Zhou, Yongluan, 2021, Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems, DEBS 2021 . Association for Computing Machinery, p. 66-77

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

  3. Published

    Holding a Conference Online and Live due to Covid-19: Experiences and Lessons Learned from EDBT / ICDT 2020

    Bonifati, A., Guerrini, G., Lutz, C., Martens, W., Mazilu, L., Paton, N. W., Vaz Salles, M. A., Scholl, M. H. & Zhou, Yongluan, 2021, In: S I G M O D Record. 49, 4, p. 28-32

    Research output: Contribution to journalJournal articlepeer-review

  4. 2020
  5. Published

    Maxson: Reduce duplicate parsing overhead on raw data

    Shi, X., Zhang, Y., Huang, H., Hu, Z., Jin, H., Shen, H., Zhou, Yongluan, He, B., Li, R. & Zhou, K., Apr 2020, Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020. IEEE, p. 1621-1632 9101499

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

  6. Published

    Advances in Database Technology - EDBT 2020, 23rd International Conference on Extending Database Technology, Copenhagen, Denmark, March 30 - April 02, Proceedings

    Bonifati, A. (ed.), Zhou, Yongluan (ed.), Vaz Salles, M. A. (ed.), Boehm, A. (ed.), Olteanu, D. (ed.), Fletcher, G. (ed.), Khan, A. (ed.) & Yang, B. (ed.), 2020, OpenProceedings. 663 p.

    Research output: Book/ReportBookpeer-review

  7. 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

  8. Published

    From a Monolithic Big Data System to a Microservices Event-Driven Architecture

    Nunes Laigner, Rodrigo, Kalinowski, M., Diniz, P., Barros, L., Cassino, C., Lemos, M., Arruda, D., Lifschitz, S. & Zhou, Yongluan, 2020, Proceedings of 46th Euromicro Conference on Software Engineering and Advanced Applications. IEEE, p. 213-220 9226286

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

  9. Published

    LsRec: Large-scale social recommendation with online update

    Zhou, W., Zhou, Yongluan, Li, J. & Memon, M. H., 2020, In: Expert Systems with Applications. 162, 113739.

    Research output: Contribution to journalJournal articlepeer-review

  10. 2019
  11. 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

  12. 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

  13. Published

    Location-Centric View Selection in a Location-Based Feed-Following System

    Chen, K. & Zhou, Yongluan, 2019, Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems, DEBS 2019, Darmstadt, Germany, June 24-28, 2019.. Association for Computing Machinery, p. 67-78

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

ID: 178773533