Dr Jianzhong Qi

  • Room: Level: 08 Room: 21
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

  • Location-based social networks
  • Spatio-temporal databases
  • Text mining

Personal webpage

http://people.eng.unimelb.edu.au/jianzhongq/

Biography

June 2017 - July 2017: Visited the Department of Electrical Engineering and Computer Science, Northwestern University, as a Visiting Assistant Professor.

July 2015: Joined the School of Computing and Information Systems, The University of Melbourne, as a lecturer.

March 2014: Received my PhD degree from The University of Melbourne.

November 2013 - January 2014: Interned at Microsoft Redmond working on SkyDrive (now OneDrive).

February 2009 - May 2009: Interned at Toshiba China R&D Center working on text to speech (TTS) projects.

Recent publications

  1. He J, Qi J, Kotagiri R. A joint context-aware embedding for trip recommendations. 2019 IEEE 35th International Conference on Data Engineering (ICDE). IEEE Computer Society. 2019, Vol. 2019-April. DOI: 10.1109/ICDE.2019.00034
  2. Shen A, Salehi B, Baldwin T, Qi J. A joint model for multimodal document quality assessment. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries. 2019, Vol. 2019-June. DOI: 10.1109/JCDL.2019.00024
  3. 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
  4. 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
  5. Xu HF, Gu Y, Qi J, He J, Yu G. Diversifying Top-k Routes with Spatial Constraints. Journal of Computer Science and Technology. 2019, Vol. 34, Issue 4. DOI: 10.1007/s11390-019-1944-6
  6. Chen F, Qi J, Lin H, Gao Y, Lu D. GOAL: a clustering-based method for the group optimal location problem. Knowledge and Information Systems. Springer London. 2019, Vol. 61, Issue 2. DOI: 10.1007/s10115-018-1307-6
  7. 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
  8. 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
  9. He J, Qi J, Kotagiri R. Query-aware bayesian committee machine for scalable gaussian process regression. Proceedings of the 2019 SIAM International Conference on Data Mining. SIAM Publications. 2019. DOI: 10.1137/1.9781611975673.24
  10. Doan M, Qi J, Rajasegarar S, Leckie C. Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data. 2018 IEEE International Conference on Big Data (Big Data). IEEE. 2019. DOI: 10.1109/BigData.2018.8622122
  11. Chen D, Zhang R, Qi J, Yuan B. Sequence-Aware recommendation with long-Term and short-Term attention memory networks. Proceedings - IEEE International Conference on Mobile Data Management. 2019, Vol. 2019-June. DOI: 10.1109/MDM.2019.000-6
  12. Li C, Gu Y, Qi J, He J, Deng Q, Yu G. A GPU accelerated update efficient index for Îșnn queries in road networks. 2018 IEEE 34th International Conference on Data Engineering (ICDE). IEEE. 2018. DOI: 10.1109/ICDE.2018.00084
  13. 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
  14. 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
  15. Fan X, Xu C, Tang F, Qi J, Liu X, Chen L, Wang C. CommuteShare: A Ridesharing Service for Daily Commuters Using Cross-Domain Urban Big Data. 2018 IEEE International Conference on Web Services (ICWS). IEEE. 2018. DOI: 10.1109/ICWS.2018.00046

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