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.; Ramamohanarao, K. A joint context-aware embedding for trip recommendations. 2019 IEEE 35th International Conference on Data Engineering (ICDE). IEEE. 2019, Vol. 2019-April, pp. 292-303. DOI: 10.1109/ICDE.2019.00034
  2. Shen, A.; Salehi, B.; Baldwin, T.; Qi, J. A joint model for multimodal document quality assessment. 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL). IEEE. 2019, Vol. 2019-June, pp. 107-110. DOI: 10.1109/JCDL.2019.00024
  3. Li, A.; Qi, J.; Zhang, R.; Kotagiri, R. Boosted GAN with Semantically Interpretable Information for Image Inpainting. Proceedings of the International Joint Conference on Neural Networks. IEEE. 2019, Vol. 2019-July. DOI: 10.1109/IJCNN.2019.8851926
  4. Huang, X.; Qi, J.; Sun, Y.; Zhang, R.; Zheng, HT. CARL: Aggregated Search with Context-Aware Module Embedding Learning. Proceedings of the International Joint Conference on Neural Networks. IEEE. 2019, Vol. 2019-July. DOI: 10.1109/IJCNN.2019.8851716
  5. Zhao, Y.; Qi, J.; Zhang, R. CBHE: Corner-based building height estimation for complex street scene images. The World Wide Web Conference on - WWW '19. ACM. 2019, pp. 2436-2447. DOI: 10.1145/3308558.3313394
  6. 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. 2019, Vol. 2019-April, pp. 280-291. DOI: 10.1109/ICDE.2019.00033
  7. Xu, HF.; Gu, Y.; Qi, JZ.; He, JY.; Yu, G. Diversifying Top-k Routes with Spatial Constraints. Journal of Computer Science and Technology. Springer Verlag. 2019, Vol. 34, Issue 4, pp. 818-838. DOI: 10.1007/s11390-019-1944-6
  8. Trisedya, BD.; Qi, J.; Zhang, R. Entity Alignment between Knowledge Graphs Using Attribute Embeddings. THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE. ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE. 2019, Vol. 33, pp. 297-304. DOI: 10.1609/aaai.v33i01.3301297
  9. 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 Verlag. 2019, Vol. 61, Issue 2, pp. 873-903. DOI: 10.1007/s10115-018-1307-6
  10. Jiang, W.; Qi, J.; Yu, JX.; Huang, J.; Zhang, R. HyperX: A Scalable Hypergraph Framework. IEEE Transactions on Knowledge and Data Engineering. IEEE COMPUTER SOC. 2019, Vol. 31, Issue 5, pp. 909-922. DOI: 10.1109/TKDE.2018.2848257
  11. Li, C.; Gu, Y.; Qi, J.; Zhang, R.; Yu, G. Moving kNN query processing in metric space based on influential sets. Information Systems. PERGAMON-ELSEVIER SCIENCE LTD. 2019, Vol. 83, pp. 126-144. DOI: 10.1016/j.is.2019.03.008
  12. He, J.; Qi, J.; Ramamohanarao, K. Query-aware bayesian committee machine for scalable gaussian process regression. SIAM International Conference on Data Mining, SDM 2019. SIAM. 2019, pp. 208-216. DOI: 10.1137/1.9781611975673.24
  13. 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
  14. Chen, D.; Zhang, R.; Qi, J.; Yuan, B. Sequence-Aware recommendation with long-Term and short-Term attention memory networks. 2019 20th IEEE International Conference on Mobile Data Management (MDM). IEEE. 2019, Vol. 2019-June, pp. 437-442. DOI: 10.1109/MDM.2019.000-6
  15. 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
  16. Wang, X.; Qi, J.; Kotagiri, R.; 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
  17. 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
  18. 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
  19. 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
  20. 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

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