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

http://www.ruizhang.info

Biography

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 (http://www.arc.gov.au/ncgp/futurefel/future_default.htm).

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 (http://www.ruizhang.info) 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. Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM '18. ASSOC COMPUTING MACHINERY. 2018, Vol. 2018-Febuary, pp. 601-609. DOI: 10.1145/3159652.3159667
  5. Zhang, Y.; Dai, Y.; Qi, J.; Xu, X.; Zhang, R. Citation field learning by RNN with limited training data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer. 2018, Vol. 11154 LNAI, pp. 219-232. DOI: 10.1007/978-3-030-04503-6_23
  6. 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
  7. Qi, J.; Kumar, V.; Zhang, R.; Tanin, E.; Trajcevski, G.; Scheuermann, P. Continuous maintenance of range sum heat maps. 2018 IEEE 34th International Conference on Data Engineering (ICDE). IEEE. 2018, pp. 1625-1628. DOI: 10.1109/ICDE.2018.00192
  8. 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
  9. 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
  10. Jiang, W.; Qi, J.; Yu, JX.; Huang, J.; Zhang, R. HyperX: A Scalable Hypergraph Framework. IEEE Transactions on Knowledge and Data Engineering. Institute of Electrical and Electronics Engineers (IEEE). 2018, pp. 1-1. DOI: 10.1109/TKDE.2018.2848257
  11. Cheng, W.; Erfani, S.; Zhang, R.; Ramamohanarao, K. Learning datum-wise sampling frequency for energy-efficient human activity recognition. 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. 2018, pp. 2143-2150.
  12. 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
  13. 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.
  14. 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
  15. 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
  16. Xie, H.; Kulik, L.; Tanin, E.; Zhang, R.; Ramamohanarao, K.; Karunasekera, S.; Qi, J. Studying transportation problems with the SMARTS simulator. Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - SIGSPATIAL '18. ACM Press. 2018, pp. 580-583. DOI: 10.1145/3274895.3274939
  17. 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
  18. 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
  19. Xie, H.; Karunasekera, S.; Kulik, L.; Tanin, E.; Zhang, R.; Ramamohanarao, K. A Simulation Study of Emergency Vehicle Prioritization in Intelligent Transportation Systems. 2017 IEEE 85th Vehicular Technology Conference (VTC Spring). IEEE. 2017, Vol. 2017-June. DOI: 10.1109/VTCSpring.2017.8108282
  20. 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

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