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. Doan, MT.; 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, pp. 106-111. DOI: 10.1109/BigData.2018.8622122
  2. 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, pp. 881-892. DOI: 10.1109/ICDE.2018.00084
  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. 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
  5. 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, pp. 298-301. DOI: 10.1109/ICWS.2018.00046
  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. Xu, Y.; Qi, J.; Borovica-gajic, R.; Kulik, L. Finding all nearest neighbors with a single graph traversal. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Nature Switzerland. 2018, Vol. 10827 LNCS, pp. 221-238. DOI: 10.1007/978-3-319-91452-7_15
  10. 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 Nature. 2018. DOI: 10.1007/s10115-018-1307-6
  11. 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, pp. 1627-1637.
  12. 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
  13. Qi, J.; Zuo, F.; Samet, H.; Yao, JC. K-Regret Queries Using Multiplicative Utility Functions. ACM Transactions on Database Systems. ASSOC COMPUTING MACHINERY. 2018, Vol. 43, Issue 2. DOI: 10.1145/3230634
  14. Wang, J.; Cong, G.; Chen, J.; Qi, J. Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018, Vol. 10837 LNCS.
  15. 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
  16. 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
  17. 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
  18. Chen, F.; Lin, H.; Qi, J.; Li, P.; Gao, Y. Collective-k Optimal Location Selection. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). SPRINGER INTERNATIONAL PUBLISHING AG. 2017, Vol. 10411, pp. 339-356. DOI: 10.1007/978-3-319-64367-0_18
  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. Ramamohanarao, K.; Qi, J.; Tanin, E.; Motallebi, S. From How to Where: Traffic Optimization in the Era of Automated Vehicles (Vision Paper). Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - SIGSPATIAL'17. Association for Computing Machinery (ACM). 2017, Vol. 2017-November. DOI: 10.1145/3139958.3139997

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