Professor Rui Zhang

  • Room: Level: 07 Room: 7.05
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

  • Artificial Intelligence (AI)
  • Big Data Analytics
  • Data Mining
  • Data analysis and Data analytics
  • Database systems
  • Management of Data and Information

Personal webpage


Rui Zhang is a Professor and Reader in the Department of Computing and Information Systems at The University of Melbourne. He has been an Australian Research Council Future Fellow (

He obtained his Bachelor Degree from Tsinghua University and PhD from National University of Singapore. He has been a visiting scientist at AT&T labs-research New Jersey, Microsoft Research Redmond, and Microsoft Research Asia.

His research interest includes big data, cloud computing, database, data mining, artificial intelligence, deep learning and information management in general, particularly in areas of indexing techniques, moving object management, web services, data streams and sequence databases.

If you are looking for a PhD supervisor, please visit my personal website ( before sending me an email.

Recent publications

  1. Hashem, T.; Kulik, L.; Ramamohanarao, K.; Zhang, R.; Soma, SC. Protecting privacy for distance and rank based group nearest neighbor queries. World Wide Web. SPRINGER. 2019, Vol. 22, Issue 1, pp. 375-416. DOI: 10.1007/s11280-018-0570-5
  2. Zheng, T.; Zheng, X.; Zhang, Y.; Deng, Y.; Dong, E.; Zhang, R.; Liu, X. SmartVM: a SLA-aware microservice deployment framework. World Wide Web. SPRINGER. 2019, Vol. 22, Issue 1, pp. 275-293. DOI: 10.1007/s11280-018-0562-5
  3. Wang, X.; Qi, J.; Ramamohanarao, K.; Sun, Y.; Li, B.; Zhang, R. A joint optimization approach for personalized recommendation diversification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer. 2018, Vol. 10939 LNAI, pp. 597-609. DOI: 10.1007/978-3-319-93040-4_47
  4. Wang, S.; Bao, Z.; Huang, S.; Zhang, R. A Unified Processing Paradigm for Interactive Location-based Web Search. WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining. ASSOC COMPUTING MACHINERY. 2018, Vol. 2018-Febuary, pp. 601-609. DOI: 10.1145/3159652.3159667
  5. Yin, C.; Zhang, R.; Qi, J.; Sun, Y.; Tan, T. Context-Uncertainty-Aware Chatbot Action Selection via Parameterized Auxiliary Reinforcement Learning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). SPRINGER INTERNATIONAL PUBLISHING AG. 2018, Vol. 10937, pp. 500-512. DOI: 10.1007/978-3-319-93034-3_40
  6. Qi, J.; Kumar, V.; Zhang, R.; Tanin, E.; Trajcevski, G.; Scheuermann, P. Continuous maintenance of range sum heat maps. Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. IEEE. 2018, pp. 1625-1628. DOI: 10.1109/ICDE.2018.00192
  7. Qi, J.; Zhang, R.; Jensen, CS.; Ramamohanarao, K.; He, J. Continuous Spatial Query Processing: A Survey of Safe Region Based Techniques. ACM Computing Surveys. ASSOC COMPUTING MACHINERY. 2018, Vol. 51, Issue 3. DOI: 10.1145/3193835
  8. Li, M.; Bao, Z.; Sellis, T.; Yan, S.; Zhang, R. HomeSeeker: A visual analytics system of real estate data. Journal of Visual Languages & Computing. ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD. 2018, Vol. 45, pp. 1-16. DOI: 10.1016/j.jvlc.2018.02.001
  9. Jiang, W.; Qi, J.; Yu, JX.; Huang, J.; Zhang, R. HyperX: A Scalable Hypergraph Framework. IEEE Transactions on Knowledge and Data Engineering. 2018, pp. 1-1. DOI: 10.1109/TKDE.2018.2848257
  10. Gu, F.; Khoshelham, K.; Valaee, S.; Shang, J.; Zhang, R. Locomotion Activity Recognition Using Stacked Denoising Autoencoders. IEEE Internet of Things Journal. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. 2018, Vol. 5, Issue 3, pp. 2085-2093. DOI: 10.1109/JIOT.2018.2823084
  11. Cheng, W.; Erfani, S.; Zhang, R.; Ramamohanarao, K. Predicting complex activities from ongoing multivariate time series. IJCAI International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence. 2018, Vol. 2018-July, pp. 3322-3328.
  12. Wen, Z.; Zhang, R.; Ramamohanarao, K.; Yang, L. Scalable and fast SVM regression using modern hardware. World Wide Web. SPRINGER. 2018, Vol. 21, Issue 2, pp. 261-287. DOI: 10.1007/s11280-017-0445-1
  13. Wang, X.; Wen, J-R.; Dou, Z.; Sakai, T.; Zhang, R. Search Result Diversity Evaluation Based on Intent Hierarchies. IEEE Transactions on Knowledge and Data Engineering. IEEE COMPUTER SOC. 2018, Vol. 30, Issue 1, pp. 156-169. DOI: 10.1109/TKDE.2017.2729559
  14. Qi, J.; Tao, Y.; Chang, Y.; Zhang, R. Theoretically Optimal and Empirically Efficient R-trees with Strong Parallelizability. PROCEEDINGS OF THE VLDB ENDOWMENT. ASSOC COMPUTING MACHINERY. 2018, Vol. 11, Issue 5, pp. 621-634. DOI: 10.1145/3177732.3177738
  15. Zhao, C.; Zhang, R.; Qi, J. Web Page Template and Data Separation for Better Maintainability. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). SpringerLink. 2018, Vol. 11233 LNCS, pp. 439-449. DOI: 10.1007/978-3-030-02922-7_30
  16. Xie, H.; Karunasekera, S.; Kulik, L.; Tanin, E.; Zhang, R.; Ramamohanarao, K. A Simulation Study of Emergency Vehicle Prioritization in Intelligent Transportation Systems. IEEE Vehicular Technology Conference. IEEE. 2017, Vol. 2017-June. DOI: 10.1109/VTCSpring.2017.8108282
  17. Cheng, W.; Erfani, S.; Zhang, R.; Kotagiri, R. Accurate recognition of the current activity in the presence of multiple activities. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer. 2017, Vol. 10235 LNAI, pp. 39-50. DOI: 10.1007/978-3-319-57529-2_4
  18. Sun, Y.; Yuan, NJ.; Xie, X.; Mcdonald, K.; Zhang, R. Collaborative Intent Prediction with Real-Time Contextual Data. ACM Transactions on Information Systems. ASSOC COMPUTING MACHINERY. 2017, Vol. 35, Issue 4. DOI: 10.1145/3041659
  19. Aljubayrin, S.; Qi, J.; Jensen, CS.; Zhang, R.; He, Z.; Li, Y. Finding lowest-cost paths in settings with safe and preferred zones. The VLDB Journal. SPRINGER. 2017, Vol. 26, Issue 3, pp. 373-397. DOI: 10.1007/s00778-017-0455-8
  20. Wen, Z.; Li, B.; Ramamohanarao, K.; Chen, J.; Chen, Y.; Zhang, R. Improving efficiency of SVM k-fold cross-validation by alpha seeding. 31st AAAI Conference on Artificial Intelligence, AAAI 2017. Unknown. 2017, pp. 2768-2774.

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile