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

Dr Rui Zhang is a Professor and leader of the Big Data and Knowledge Research Theme at the School of Computing and Information Systems of the University of Melbourne. He is an internationally leading researcher in the area of big data, data mining and machine learning. Professor Zhang has won several awards including the prestigious Future Fellowship by the Australian Research Council in 2012, Chris Wallace Award for Outstanding Research by the Computing Research and Education Association of Australasia (CORE) in 2015, and Google Faculty Research Award in 2017. His inventions have been adopted by major IT companies such as AT&T and Microsoft. He proposed a novel technique for computing primitive statistics efficiently on extremely fast TCP/IP packet streams. He developed a temporal index called version compressed TSB-tree, which has been implemented in Microsoft’s flagship database product, Microsoft SQL Server. Dr Rui Zhang obtained his Bachelor's degree from Tsinghua University in 2001, PhD from National University of Singapore in 2006, and has then started as a faculty member in The University of Melbourne since 2007. Before joining the University of Melbourne, he has been a visiting research scientist at AT&T labs-research in New Jersey and at Microsoft Research in Redmond, Washington. Recently, he has been a visiting researcher at Microsoft Research Asia in Beijing regularly collaborating on his ARC Future Fellowship project. Dr Zhang's research interests include big data and AI, particularly in areas of recommendation systems, chatbot, knowledge bases, spatial and temporal data analytics, moving object management and data streams.

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. Wen Z, Deng D, Zhang R, Kotagiri R. 2ED: An efficient entity extraction algorithm using two-level edit-distance. 2019 IEEE 35th International Conference on Data Engineering (ICDE). IEEE Computer Society. 2019, Vol. 2019-April. DOI: 10.1109/ICDE.2019.00093
  2. Zhao Y, Qi J, Zhang R. CBHE: Corner-based building height estimation for complex street scene images. The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019. 2019. Editors: Liu L, White R. DOI: 10.1145/3308558.3313394
  3. Wang Z, Zhang R, Qi J, Yuan B. DBSVEC: Density-based clustering using support vector expansion. 2019 IEEE 35th International Conference on Data Engineering (ICDE). IEEE Computer Society. 2019, Vol. 2019-April. DOI: 10.1109/ICDE.2019.00033
  4. Jiang W, Qi J, Yu JX, Huang J, Zhang R. HyperX: A Scalable Hypergraph Framework. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. IEEE Computer Society. 2019, Vol. 31, Issue 5. DOI: 10.1109/TKDE.2018.2848257
  5. Li C, Gu Y, Qi J, Zhang R, Yu G. Moving kNN query processing in metric space based on influential sets. INFORMATION SYSTEMS. Pergamon. 2019, Vol. 83. DOI: 10.1016/j.is.2019.03.008
  6. Hashem T, Kulik L, Kotagiri R, Zhang R, Soma SC. Protecting privacy for distance and rank based group nearest neighbor queries. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS. Springer. 2019, Vol. 22, Issue 1. DOI: 10.1007/s11280-018-0570-5
  7. Zheng T, Zheng X, Zhang Y, Deng Y, Dong E, Zhang R, Liu X. SmartVM: a SLA-aware microservice deployment framework. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS. Springer. 2019, Vol. 22, Issue 1. DOI: 10.1007/s11280-018-0562-5
  8. Wang X, Qi J, Kotagiri R, Sun Y, Li B, Zhang R. A joint optimization approach for personalized recommendation diversification. 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). Springer Verlag. 2018, Vol. 10939 LNAI. Editors: Phung D, Tseng VS, Webb GI, Ho B, Ganji M, Rashidi L. DOI: 10.1007/978-3-319-93040-4_47
  9. Wang S, Bao Z, Huang S, Zhang R. A unified processing paradigm for interactive location-based web search. 11th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery (ACM). 2018, Vol. 2018-Febuary. DOI: 10.1145/3159652.3159667
  10. Zhang Y, Dai Y, Qi J, Xu X, Zhang R. Citation field learning by RNN with limited training data. Advances in Knowledge Discovery and Data Mining. 22nd Pacific-Asia Conference, PAKDD 2018. Springer Verlag. 2018, Vol. 11154 LNAI. DOI: 10.1007/978-3-030-04503-6_23
  11. Yin C, Zhang R, Qi J, Sun Y, Tan T. Context-Uncertainty-Aware Chatbot Action Selection via Parameterized Auxiliary Reinforcement Learning. 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). Springer Verlag. 2018, Vol. 10937. Editors: Phung D, Tseng VS, Webb GI, Ho B, Ganji M, Rashidi L. DOI: 10.1007/978-3-319-93034-3_40
  12. 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. DOI: 10.1109/ICDE.2018.00192
  13. Qi J, Zhang R, Jensen CS, Kotagiri R, He J. Continuous Spatial Query Processing: A Survey of Safe Region Based Techniques. ACM COMPUTING SURVEYS. Association for Computing Machinery. 2018, Vol. 51, Issue 3. DOI: 10.1145/3193835
  14. Trisedya BD, Qi J, Zhang R, Wang W. GTR-LSTM: A triple encoder for sentence generation from RDF data. ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). 2018, Vol. 1.
  15. Li M, Bao Z, Sellis T, Yan S, Zhang R. HomeSeeker: A visual analytics system of real estate data. JOURNAL OF VISUAL LANGUAGES AND COMPUTING. Academic Press - Elsevier Science. 2018, Vol. 45. DOI: 10.1016/j.jvlc.2018.02.001

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