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

    A Two-Layer Blockchain Sharding Protocol Leveraging Safety and Liveness for Enhanced Performance

    Xu, Yibin, Zheng, J., Duedder, Boris, Slaats, Tijs & Zhou, Yongluan, 26 Feb 2024, Network and Distributed System Security (NDSS) Symposium 2024.

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

  3. Query allocation in wireless sensor networks with multiple base stations

    Xiang, S., Zhou, Yongluan, Lim, H. B. & Tan, K., 2009, Database Systems for Advanced Applications: 14th International Conference, DASFAA 2009, Brisbane, Australia, April 21-23, 2009. Proceedings. Zhou, X., Yokota, H., Ding, K. & Liu, Q. (eds.). Springer Science+Business Media, p. 107-122 16 p.

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

  4. Two-tier multiple query optimization for sensor networks

    Xiang, S., Lim, H. B., Tan, K. & Zhou, Yongluan, 2007, 27th International Conference on Distributed Computing Systems, 2007. IEEE, 9 p.

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

  5. Similarity-aware query allocation in sensor networks with multiple base stations

    Xiang, S., Lim, H. B., Tan, K. & Zhou, Yongluan, 2007, Proceedings of the 4th Workshop on Data Management for Sensor Networks: in conjunction with 33rd International Conference on Very Large Data Bases. Association for Computing Machinery, p. 1-6 6 p.

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  6. QoS-oriented multi-query scheduling over data streams

    Wu, J., Tan, K. & Zhou, Yongluan, 2009, Database Systems for Advanced Applications: 14th International Conference, DASFAA 2009, Brisbane, Australia, April 21-23, 2009. Proceedings. Zhou, X., Yokota, H., Deng, K. & Liu, Q. (eds.). Springer Science+Business Media, p. 215-229 15 p. (Lecture notes in computer science, Vol. 5463).

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

  7. Towards integrated and efficient scientific sensor data processing: a database approach

    Wu, J., Zhou, Yongluan, Aberer, K. & Tan, K., 2009, Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology. Association for Computing Machinery, p. 922-933 12 p.

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

  8. Window-oblivious join: a data-driven memory management scheme for stream join

    Wu, J., Tan, K. & Zhou, Yongluan, 2007, 19th International Conference on Scientific and Statistical Database Management, 2007. IEEE, 10 p.

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

  9. 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

  10. Parallel SPARQL query optimization

    Wu, B., Zhou, Yongluan, Jin, H. & Deshpande, A., 2017, Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE). IEEE Press, p. 547-558 12 p.

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

ID: 178773533