Professor Rui Zhang

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

Research interests

  • Big Data
  • Cloud Computing
  • Data Mining
  • Data analysis Data analytics
  • Database systems
  • Management of Data and Information

Personal webpage


Rui Zhang is an Associate Professor and Reader in the Department of Computing and Information Systems at The University of Melbourne. He is an Australian Research Council Future Fellow ( He is also the Assistant Dean (Collaboration), Melbourne School of Engineering.

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 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. Sun Y, Yuan NJ, Xie X, McDonald K, Zhang R. Collaborative Intent Prediction with Real-Time Contextual Data. ACM TRANSACTIONS ON INFORMATION SYSTEMS. Association for Computing Machinery Inc.. 2017, Vol. 35, Issue 4.
  2. Aljubayrin S, Qi J, Jensen CS, Zhang R, He Z, Li Y. Finding lowest-cost paths in settings with safe and preferred zones. VLDB JOURNAL. Springer. 2017, Vol. 26, Issue 3.
  3. Wen Z, Zhang R, Kotagiri R, Yang L. Scalable and fast SVM regression using modern hardware. World Wide Web. Springer. 2017.
  4. Kotagiri R, Xie H, Kulik L, Karunasekera S, Tanin E, Zhang R, Bin Khunayn E. SMARTS: Scalable Microscopic Adaptive Road Traffic Simulator. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY. ACM Press. 2017, Vol. 8, Issue 2.
  5. Gu Y, Liu G, Qi J, Xu H, Yu G, Zhang R. The Moving K Diversified Nearest Neighbor Query (Extended Abstract). 2017 IEEE 33RD INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2017). IEEE Computer Society. 2017.
  6. Sun Y, Yuan NJ, Wang Y, Xie X, McDonald K, Zhang R. Contextual intent tracking for personal assistants. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2016, Vol. 13-17-August-2016.
  7. Aljubayrin S, Yang B, Jensen CS, Zhang R. Finding Non-Dominated Paths in Uncertain Road Networks. 24TH ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2016). Association for Computing Machinery Inc.. 2016. Editors: Ali M, Newsam S, Ravada S, Renz M, Trajcevski G.
  8. Huang J, Zhang R, Buyya R, Chen J, Wu Y. HEADS-JOIN: Efficient Earth Mover's Distance Similarity Joins on Hadoop. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS. IEEE Press. 2016, Vol. 27, Issue 6.
  9. Li C, Gu Y, Qi J, Yu G, Zhang R, Deng Q. INSQ: An Influential Neighbor Set Based Moving kNN Query Processing System. 2016 32ND IEEE INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE). IEEE Computer Society. 2016.
  10. Lin X, Gu Y, Zhang R, Fan J. Linking News and Tweets. 27th Australasian Database Conference (ADC). Springer Verlag. 2016, Vol. 9877. Editors: Cheema MA, Zhang W, Chang L.
  11. Guo W, Chen K, Feng H, Wu Y, Zhang R, Zheng W. MARS: Mobile Application Relaunching Speed-Up through Flash-Aware Page Swapping. IEEE TRANSACTIONS ON COMPUTERS. IEEE - Institute of Electrical and Electronic Engineers. 2016, Vol. 65, Issue 3.
  12. He J, Rubinstein B, Bailey J, Zhang R, Milligan S, Chan J. MOOCs meet measurement theory: A topic-modelling approach. 30th AAAI Conference on Artificial Intelligence (AAAI). 2016.
  13. Sun Y, Zhang R, Xue AY, Qi J, Dut X. Reverse Nearest Neighbor Heat Maps: A Tool for Influence Exploration. 2016 32ND IEEE INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE). IEEE Computer Society. 2016.
  14. Gu Y, Liu G, Qi J, Xu H, Yu G, Zhang R. The Moving K Diversified Nearest Neighbor Query. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. IEEE Computer Society. 2016, Vol. 28, Issue 10.
  15. Milligan S, He J, Bailey J, Zhang R, Rubinstein B. Validity: a framework for cross-disciplinary collaboration in mining indicators of learning from MOOC forums. 6th International Conference on Learning Analytics and Knowledge (LAK). Association for Computing Machinery Inc.. 2016, Vol. 25-29-April-2016.

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