Jianzhong Qi Senior Lecturer School of Computing and Information Systems The University of Melbourne

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General Information

• My research interests include machine learning and data management and analytics, with a focus on spatial, temporal, and textual data.


• February 2018: Visited the School of Computer Science and Engineering, University of New South Wales.
• 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.


• I have a PhD student position available, on traffic data analysis. To apply for the position, please email me your academic transcripts and CV (including English test results, GPA, and ranking if available).

Selected Papers (full paper list)

1. Yunxiang Zhao, Jianzhong Qi, Qingwei Liu, and Rui Zhang. WGCN: Graph Convolutional Networks with Weighted Structural Features. SIGIR, accepted in 2021.


2. Aili Shen, Meladel Mistica, Bahar Salehi, Hang Li, Timothy Baldwin, and Jianzhong Qi. Evaluating Document Coherence Modelling. TACL, accepted in 2021.


3. Yimeng Dai, Rui Zhang, and Jianzhong Qi. Automatic Webpage Briefing. ICDE, 2021.


4. Xiaojie Wang, Rui Zhang, Yu Sun, and Jianzhong Qi. Combating Selection Biases in Recommender Systemswith A Few Unbiased Ratings. WSDM, 2021.


5. Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi. Adversarial Distillation for Learning with Privileged Provisions. TPAMI, 43(3): 786-797, 2021.


6. Jianzhong Qi, Guanli Liu, Christian S. Jensen, and Lars Kulik. Effectively Learning Spatial Indices. PVLDB, 13(11): 2341-2354, 2020. (source code)


7. Jianzhong Qi, Yufei Tao, Yanchuan Chang, and Rui Zhang. Packing R-trees with Space-Filling Curves: Theoretical Optimality, Empirical Efficiency, and Bulk-loading Parallelizability. ACM TODS, 14:1-14:47, 2020.


8. Jianzhong Qi, Wei Wang, Rui Zhang, and Zhuowei Zhao. A Learning Based Approach to Predict Shortest-Path Distances. EDBT, 367-370, 2020.


9. Yimeng Dai, Jianzhong Qi, and Rui Zhang. Joint Recognition of Names and Publications in Academic Homepages. WSDM, 133-141, 2020.


10. Yimeng Dai, Rui Zhang, and Jianzhong Qi. Person Name Recognition with Fine-grained Name Annotation. JCDL, 243-252 , 2020.


11. Xinting Huang, Jianzhong Qi, Yu Sun, and Rui Zhang. Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation. ACL, 660-670, 2020.


12. Xinting Huang, Jianzhong Qi, Yu Sun, and Rui Zhang. MALA: Cross-Domain Dialogue Generation with Action Learning. AAAI, 7977-7984, 2020.


13. Bayu D. Trisedya, Jianzhong Qi, and Rui Zhang. Sentence Generation for Entity Description with Content-plan Attention. AAAI, 9057-9064, 2020.


14. Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, and Jianzhong Qi. GMAN: A Graph Multi-Attention Network for Traffic Prediction. AAAI, 1234-1241, 2020.


15. Yu Gu, Kaiqiang Yu, Zhen Song, Jianzhong Qi, Zhigang Wang, Ge Yu, and Rui Zhang. Distributed Hypergraph Processing Using Intersection Graphs. TKDE, accepted in August 2020.


16. Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, and Ramamohanarao Kotagiri. Short-Term and Long-Term Context Aggregation Network for Video Inpainting. ECCV, 728-743, 2020.


17. Hongfei Xu, Yu Gu, Yu Sun, Jianzhong Qi, Ge Yu, and Rui Zhang. Efficient Processing of Moving Collective Spatial Keyword Queries. VLDB Journal, 29(4): 841-865, 2020.


18. Bayu D. Trisedya, Gerhard Weikum, Jianzhong Qi, and Rui Zhang. Neural Relation Extraction for Knowledge Base Enrichment. ACL, 229-240, 2019.


19. Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, and Kotagiri Ramamohanarao. Generative Image Inpainting with Submanifold Alignment. IJCAI, 811-817, 2019.


20. Xiaojie Wang, Rui Zhang, Yu Sun, and Jianzhong Qi. Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random. ICML, 6638-6647, 2019.


21. Yunxiang Zhao, Jianzhong Qi, and Rui Zhang. CBHE: Corner-based Building Height Estimation for Complex Street Scene Images. WWW, 2436-2447, 2019.


22. Jiayuan He, Jianzhong Qi, and Kotagiri Ramamohanarao. A Joint Context-Aware Embedding for Trip Recommendations. ICDE, 292-303, 2019.


23. Zhen Wang, Rui Zhang, Jianzhong Qi, and Bo Yuan. DBSVEC: Density-Based Clustering Using Support Vector Expansion. ICDE, 280-291, 2019.


24. Bayu D. Trisedya, Jianzhong Qi, and Rui Zhang. Entity Alignment between Knowledge Graphs Using Attribute Embeddings. AAAI, 297-304, 2019.


25. Aili Shen, Bahar Salehi, Timothy Baldwin, Jianzhong Qi. A Joint Model for Multimodal Document Quality Assessment. JCDL, 107-110, 2019.


26. Wenkai Jiang, Jianzhong Qi, Jeffrey Xu Yu, Jin Huang, and Rui Zhang. HyperX: A Scalable Hypergraph Framework. TKDE, 31(5): 909-922, 2019.


27. Xiaojie Wang, Rui Zhang, Yu Sun, and Jianzhong Qi. KDGAN: Knowledge Distillation with Generative Adversarial Networks. NeurIPS, 775-786, 2018.


28. Bayu D. Trisedya, Jianzhong Qi, Rui Zhang, and Wei Wang. GTR-LSTM: A Triple Encoder for Sentence Generation from RDF Data. ACL, 1627-1637, 2018.


29. Yiqing Zhang, Jianzhong Qi, Rui Zhang, and Chuandong Yin. PubSE: A Hierarchical Model for Publication Extraction from Academic Homepages. EMNLP, 1005-1010, 2018.


30. Jianzhong Qi, Fei Zuo, Hanan Samet, Jia Cheng Yao. K-Regret Queries Using Multiplicative Utility Functions. ACM TODS, 43(2): 10:1-10:41, 2018.


31. Jianzhong Qi, Rui Zhang, Christian S. Jensen, Kotagiri Ramamohanarao, and Jiayuan He. Continuous Spatial Query Processing: A Survey of Safe Region Based Techniques. ACM Computing Surveys, 51(3): 64:1-64:39, 2018.


32. Jianzhong Qi, Yufei Tao, Yanchuan Chang, and Rui Zhang. Theoretically Optimal and Empirically Efficient R-trees with Strong Parallelizability. PVLDB, 11(5): 621-634, 2018.


33. Jianzhong Qi, Vivek Kumar, Rui Zhang, Egemen Tanin, Goce Trajcevski, and Peter Scheuermann. Continuous Maintenance of Range Sum Heat Maps. ICDE, 1625-1628, 2018. (demo)


34. Chuanwen Li, Yu Gu, Jianzhong Qi, Jiayuan He, Qingxu Deng, and Ge Yu. A GPU Accelerated Update Efficient Index for kNN Queries in Road Networks. ICDE, 881-892, 2018.


35. Kotagiri Ramamohanarao, Jianzhong Qi, Egemen Tanin, and Sadegh Motallebi. From How to Where: Traffic Optimization in the Era of Automated Vehicles (Vision Paper). SIGSPATIAL, 10:1-10:4, 2017. (Best Vision Paper)


36. Saad Aljubayrin, Jianzhong Qi, Christian S. Jensen, Rui Zhang, Zhen He, and Yuan Li. Finding Lowest-Cost Paths in Settings with Safe and Preferred Zones. VLDB Journal, 26(3): 373-397, 2017.


37. Yu Gu, Guanli Liu, Jianzhong Qi, Hongfei Xu, Ge Yu, and Rui Zhang. The Moving K Diversified Nearest Neighbor Query. TKDE, 28(10): 2778-2792, 2016.


38. Yu Sun, Rui Zhang, Andy Yuan Xue, Jianzhong Qi, and Xiaoyong Du. Reverse Nearest Neighbor Heat Maps: A Tool for Influence Exploration. ICDE, 966-977, 2016.


39. Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, and Qingxu Deng. INSQ: An Influential Neighbor Set Based Moving kNN Query Processing System. ICDE, 1338-1341, 2016 (demo).


40. Saad Aljubayrin, Jianzhong Qi, Christian Jensen, Rui Zhang, Zhen He, and Zeyi Wen. The Safest Path via Safe Zones. ICDE, 531-542, 2015.


41. Andy Yuan Xue, Jianzhong Qi, Xing Xie, Rui Zhang, Jin Huang, and Yuan Li. Solving the Data Sparsity Problem in Destination Prediction. VLDB Journal, 24(2): 219-243, 2015.


42. Jianzhong Qi, Rui Zhang, Kotagiri Ramamohanarao, Hongzhi Wang, Zeyi Wen, and Dan Wu. Indexable Online Time Series Segmentation with Error Bound Guarantee. World Wide Web, 18(2): 359-401, 2015.


43. Jianzhong Qi, Rui Zhang, Yanqiu Wang, Andy Yuan Xue, Ge Yu, and Lars Kulik. The Min-dist Location Selection and Facility Replacement Queries. World Wide Web, 17(6): 1261-1293, 2014.


44. Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, and Wang Yi. Processing Moving kNN Queries Using Influential Neighbor Sets. PVLDB, 8(2): 113-124, 2014.


45. Phillip G. D. Ward, Zhen He, Rui Zhang, and Jianzhong Qi. Real-time Continuous Intersection Joins over Large Sets of Moving Objects using Graphic Processing Units. VLDB Journal, 23(6): 965-985, 2014.


46. Rui Zhang, Jianzhong Qi, Martin Stradling, and Jin Huang. Towards a Painless Index for Spatial Objects. ACM TODS, 39(3): 19:1-19:42, 2014.


47. Rui Zhang, Jianzhong Qi, Dan Lin, Wei Wang, and Raymond Chi-Wing Wong. A Highly Optimized Algorithm for Continuous Intersection Join Queries over Moving Objects. VLDB Journal, 21(4): 561-586, 2012.


48. Jianzhong Qi, Rui Zhang, Lars Kulik, Dan Lin, and Yuan Xue. The Min-dist Location Selection Query. ICDE, 366-377, 2012. (Slides)


49. Jianzhong Qi, Zhenghua Xu, Yuan Xue, and Zeyi Wen. A Branch and Bound Method for Min-dist Location Selection Queries. Australasian Database Conference (ADC), 51-60, 2012 (Runner-up for Best Paper).

Professional Services

• WSDM Cup Chair: 2019.
• PC Chair: ADC 2020.
• Proceedings Chair: ADC 2015, ADC 2018.
• Track Chair: CSS 2017.
• PC member:
  • 2021: SIGIR, WSDM, ICML, NeurIPS, ICLR, ACL, CIKM, JCDL, PAKDD, SSTD, DASFAA, APWeb-WAIM, AusPDC
  • 2020: SIGIR, ICML, NeurIPS, IJCAI, CIKM, JCDL, SIGSPATIAL, PAKDD, APWeb-WAIM, AusPDC
  • 2019: NeurIPS, ICDE, SIGSPATIAL, SSTD, APWeb-WAIM, ADC, ACSW, AusDM
  • 2018: CIKM, SIGSPATIAL, MDM, APWeb-WAIM, ACSW, AusDM
  • 2017: ICDE, CIKM, SIGSPATIAL, APWeb-WAIM, ACSW, AusDM, BigCom, IWSC
  • 2016: APWeb
  • 2015: APWeb
  • 2014: ICDM-IDP Workshop, HuMoComp.
• Journal reviewer:
  • ACM Computing Surveys
  • ACM Transactions on Database Systems
  • ACM Transactions on Privacy and Security
  • ACM Transactions on Spatial Algorithms and Systems
  • ACM Transactions on Internet Technology
  • Distributed and Parallel Databases
  • GeoInformatica
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Mobile Computing
  • Journal of Parallel and Distributed Computing
  • Parallel Computing
  • World Wide Web Journal

Grants and Awards

• 2020, MSE Platform Interdisciplinary Grant, Melbourne School of Engineering.
• 2019, ByteDance Research Gift Grant, ByteDance Inc.
• 2018 - 2020, ARC Discovery Project x 2, Australian Research Council.
• 2017, Eshbach Visiting Scholar Fellowship, Northwestern University.
• 2016, Early Career Researcher (ECR) Grant, University of Melbourne.
• 2015, Early Career Researcher (ECR) Grant, Melbourne School of Engineering.


• 2017, Best Vision Paper, SIGSPATIAL.
• 2015, Nominee, MERIT Prize for the Best PhD Thesis in Engineering, Melbourne School of Engineering.
• 2015, Nominee, John Makepeace Bennett Best PhD Thesis Award, Computing Research and Education Association of Australasia (CORE).
• 2015, Best Poster Award, ADC.
• 2012, Runner-up for Best Paper, ADC.

Teaching

• Semester 1, 2016 - 2021, Foundations of Algorithms (COMP10002).
• Semester 2, 2015 - 2021, Engineering Computation (COMP20005).
• Semester 1, 2015, Advanced Database Systems (COMP90050).
• Semester 1, 2014 - 2016, Programming and Software Development (COMP90041).

Graduated Research Students

• Yixin Xu (PhD, co-supervised with Prof. Lars Kulik), 2021
• Aili Shen (PhD, co-supervised with Prof. Timothy Baldwin), 2021
• Bayu D. Trisedya (PhD, co-supervised with Prof. Rui Zhang), 2021
• Xiaojie Wang (PhD, co-supervised with Prof. Rui Zhang), 2021
• Minh Tuan Doan (PhD, co-supervised with Prof. Christopher Leckie), 2020
• Zhuowei Zhao (MPhil), 2020
• Jiayuan He (PhD), 2020
• Wenkai Jiang (MPhil), 2019
• Yiqing Zhang (MPhil), 2019
• Chenxu Zhao (MPhil), 2019
• Chuandong Yin (MPhil), 2018
• Yu Sun (PhD, co-supervised with Prof. Rui Zhang), 2017
• Gitansh Khirbat (MPhil), 2017
• Han Li (MPhil), 2016
• Jin Huang (PhD, co-supervised with Prof. Rui Zhang), 2016
• Andy Yuan Xue (PhD, co-supervised with Prof. Rui Zhang), 2016

Released Code

• Painless Index for Large Scale Spatial Objects
  Related paper:
  • Towards a Painless Index for Spatial Objects. ACM TODS, 2014.
• Min-dist Location Selection and Facility Replacement
  Version 2.0 (941KB).
  With three datasets C, F and P (source code for the data generator, 177KB).
  |C|: 100, 000, |F|: 5, 000, |P|: 5, 000.
  All the datasets follow uniform distribution.
  Space domain: 1000*1000.
  Related papers:
  • The Min-dist Location Selection Query. ICDE, 2012.
  • A Branch and Bound Method for Min-dist Location Selection Queries. ADC, 2012.
  • The Min-dist Location Selection and Facility Replacement Queries. WWWJ, 2014.
• Continuous Intersection Join on Moving Objects
  Version 1.1 (4.5MB).
  With two moving object sets and an object update set.
  Every object set has 10, 000 objects with uniform distribution in a 1000*1000 space domain.
  Object velocities follow a uniform distribution with the maximum speed being 1.
  Every object issues an update every T_M timestamps (source code for the object update generator, 248KB).
  Related papers:
  • A Highly Optimized Algorithm for Continuous Intersection Join Queries over Moving Objects. VLDB Journal, 2012.
  • Continuous Intersection Joins Over Moving Objects, ICDE, 2008.
  • Continuous Intersection Joins Over Moving Objects, March 2007 (a technical report).

Miscellaneous

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Created by Jianzhong Qi.
Last modified: 15/04/2021.

Mandatory disclaimer: This page, its content and style, are the responsibility of the author and do not necessarily represent the views, policies, or opinions of The University of Melbourne.