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. Li, C.; Gu, Y.; Qi, J.; He, J.; Deng, Q.; Yu, G. A GPU accelerated update efficient index for Îșnn queries in road networks. Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. IEEE. 2018, pp. 881-892. DOI: 10.1109/ICDE.2018.00084
  2. 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
  3. 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. Proceedings - 2018 IEEE International Conference on Web Services, ICWS 2018 - Part of the 2018 IEEE World Congress on Services. IEEE. 2018, pp. 298-301. DOI: 10.1109/ICWS.2018.00046
  4. 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
  5. Qi, J.; Kumar, V.; Zhang, R.; Tanin, E.; Trajcevski, G.; Scheuermann, P. Continuous maintenance of range sum heat maps. Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. IEEE. 2018, pp. 1625-1628. DOI: 10.1109/ICDE.2018.00192
  6. 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
  7. 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
  8. 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. 2018. DOI: 10.1007/s10115-018-1307-6
  9. Jiang, W.; Qi, J.; Yu, JX.; Huang, J.; Zhang, R. HyperX: A Scalable Hypergraph Framework. IEEE Transactions on Knowledge and Data Engineering. 2018, pp. 1-1. DOI: 10.1109/TKDE.2018.2848257
  10. 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
  11. 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.
  12. 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
  13. 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
  14. 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
  15. 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
  16. Ramamohanarao, K.; Qi, J.; Tanin, E.; Motallebi, S. From How to Where: Traffic Optimization in the Era of Automated Vehicles (Vision Paper). GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems. Association for Computing Machinery (ACM). 2017, Vol. 2017-November. DOI: 10.1145/3139958.3139997
  17. Ahmad, S.; Kamal, R.; Ali, ME.; Qi, J.; Scheuermann, P.; Tanin, E. The Flexible Group Spatial Keyword Query. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). SPRINGER INTERNATIONAL PUBLISHING AG. 2017, Vol. 10538, pp. 3-16. DOI: 10.1007/978-3-319-68155-9_1
  18. Gu, Y.; Liu, G.; Qi, J.; Xu, H.; Yu, G.; Zhang, R. The Moving K Diversified Nearest Neighbor Query (Extended Abstract). Proceedings - International Conference on Data Engineering. IEEE. 2017, pp. 31-32. DOI: 10.1109/ICDE.2017.22
  19. Li, C.; Gu, Y.; Qi, J.; Yu, G.; Zhang, R.; Deng, Q. INSQ: An Influential Neighbor Set Based Moving kNN Query Processing System. 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016. IEEE. 2016, pp. 1338-1341. DOI: 10.1109/ICDE.2016.7498339
  20. Sun, Y.; Zhang, R.; Xue, AY.; Qi, J.; Dut, X. Reverse Nearest Neighbor Heat Maps: A Tool for Influence Exploration. 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016. IEEE. 2016, pp. 966-977. DOI: 10.1109/ICDE.2016.7498305

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