Contact
E-mail: [my first name] dot [my last name]@unimelb.edu.au
Address: Level 3, Room 3325, Melbourne Connect (Building 290),
The University of Melbourne, 700 Swanston Street, Parkville, VIC 3010
General Information
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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.
- November 2013 - January 2014: Interned at Microsoft
Redmond working on SkyDrive (now
OneDrive).
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February 2009 - May 2009: Interned at Toshiba China R&D Center working on text to speech (TTS) projects.
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I am recruiting PhD students.
To apply, please email me your academic transcripts and CV (including English test results, GPA, and ranking if available).
Selected Papers and Source Code (full paper list)
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Guanli Liu, Jianzhong Qi, Christian S. Jensen, James Bailey, and Lars Kulik. Efficiently Learning Spatial Indices.
ICDE, accepted to appear in 2023.
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Miao Li, Jey Han Lau, and Jianzhong Qi. Compressed Heterogeneous Graph for Abstractive Multi-document Summarization.
AAAI, accepted to appear in 2023.
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Zheng Wang, Xiaoliang Fan, Jianzhong Qi, Haibing Jin, Peizhen Yang, Siqi Shen, and Cheng Wang. FedGS: Federated Graph-based Sampling with Arbitrary Client Availability.
AAAI, accepted to appear in 2023.
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Jianzhong Qi, Zhuowei Zhao, Egemen Tanin, Tingru Cui, Neema Nassir, and Majid Sarvi.
A Graph and Attentive Multi-Path Convolutional Network for Traffic Prediction.
TKDE, accepted in 2022. (source code)
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Rui Zhang, Bayu D. Trisedya, Miao Li, Yong Jiang, and Jianzhong Qi.
A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning.
VLDB Journal, 31(5): 1143-1168, 2022.
(source code)
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Zhen Song, Yu Gu, Jianzhong Qi, Zhigang Wang, and Ge Yu.
EC-Graph: A Distributed Graph Neural Network System with Error-Compensated Compression.
ICDE, 648-660, 2022.
- Yu Gu, Kaiqiang Yu, Zhen Song, Jianzhong Qi, Zhigang Wang, Ge Yu, and Rui Zhang.
Distributed Hypergraph Processing Using Intersection Graphs.
TKDE, 34(7): 3182-3195, 2022.
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Bayu D. Trisedya, Jianzhong Qi, Wei Wang, and Rui Zhang.
GCP: Graph Encoder with Content-Planning for Sentence Generation from Knowledge Base.
TPAMI, 44(11): 7521-7533, 2022.
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Xinting Huang, Jianzhong Qi, Yu Sun, and Rui Zhang.
Latent Reasoning for Low-Resource Question Generation. Findings of ACL, 3008-3022, 2021.
- Yunxiang Zhao, Jianzhong Qi, Qingwei Liu, and Rui Zhang.
WGCN: Graph Convolutional Networks with Weighted Structural Features. SIGIR, 624-633, 2021.
(source code)
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Zheng Wang, Xiaoliang Fan, Jianzhong Qi, Chenglu Wen, Cheng Wang, and Rongshan Yu.
Federated Learning with Fair Averaging. IJCAI, 1615-1623, 2021.
(source code)
- Aili Shen, Meladel Mistica, Bahar Salehi, Hang Li, Timothy Baldwin, and Jianzhong Qi.
Evaluating Document Coherence Modelling. TACL, 9: 621-640, 2021.
- Yimeng Dai, Rui Zhang, and Jianzhong Qi. Automatic Webpage Briefing.
ICDE, 1727-1738, 2021.
- Xiaojie Wang, Rui Zhang, Yu Sun, and Jianzhong Qi. Combating Selection Biases in Recommender Systemswith A Few Unbiased Ratings. WSDM, 427-435, 2021.
- Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi. Adversarial Distillation for Learning with Privileged Provisions. TPAMI, 43(3): 786-797, 2021.
- Jianzhong Qi, Guanli Liu, Christian S. Jensen, and Lars Kulik. Effectively Learning Spatial Indices.
PVLDB, 13(11): 2341-2354, 2020.
(source code)
- 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.
(binary package)
- Jianzhong Qi, Wei Wang, Rui Zhang, and Zhuowei Zhao. A Learning Based Approach to Predict Shortest-Path Distances. EDBT, 367-370,
2020.
(source code)
- Yimeng Dai, Jianzhong Qi, and Rui Zhang. Joint Recognition of Names and Publications in Academic Homepages. WSDM, 133-141, 2020.
- Xinting Huang, Jianzhong Qi, Yu Sun, and Rui Zhang. Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation. ACL, 660-670, 2020.
- Xinting Huang, Jianzhong Qi, Yu Sun, and Rui Zhang. MALA: Cross-Domain Dialogue Generation with Action Learning. AAAI, 7977-7984, 2020.
- Bayu D. Trisedya, Jianzhong Qi, and Rui Zhang. Sentence Generation for Entity Description with Content-plan Attention. AAAI, 9057-9064, 2020.
- Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, and Jianzhong Qi. GMAN: A Graph Multi-Attention Network for Traffic Prediction. AAAI, 1234-1241, 2020.
(source code)
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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.
- 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.
- Bayu D. Trisedya, Gerhard Weikum, Jianzhong Qi, and Rui Zhang. Neural Relation Extraction for Knowledge Base Enrichment. ACL, 229-240, 2019.
(source code)
- Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, and Kotagiri Ramamohanarao. Generative Image Inpainting with Submanifold Alignment. IJCAI, 811-817, 2019.
- 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.
- Yunxiang Zhao, Jianzhong Qi, and Rui Zhang. CBHE: Corner-based Building Height Estimation for Complex Street Scene Images. WWW, 2436-2447, 2019.
- Jiayuan He, Jianzhong Qi, and Kotagiri Ramamohanarao. A Joint Context-Aware Embedding for Trip Recommendations. ICDE, 292-303, 2019.
- Zhen Wang, Rui Zhang, Jianzhong Qi, and Bo Yuan. DBSVEC: Density-Based Clustering Using Support Vector Expansion. ICDE, 280-291,
2019.
- Bayu D. Trisedya, Jianzhong Qi, and Rui Zhang. Entity Alignment between Knowledge Graphs Using Attribute Embeddings. AAAI, 297-304, 2019.
(source code)
- Wenkai Jiang, Jianzhong Qi, Jeffrey Xu Yu, Jin Huang, and Rui Zhang. HyperX: A Scalable Hypergraph Framework. TKDE, 31(5): 909-922, 2019.
(source code)
- Xiaojie Wang, Rui Zhang, Yu Sun, and Jianzhong Qi. KDGAN: Knowledge Distillation with Generative Adversarial Networks. NeurIPS, 775-786, 2018.
- 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.
(source code)
- Yiqing Zhang, Jianzhong Qi, Rui Zhang, and Chuandong Yin. PubSE: A Hierarchical Model for Publication Extraction from Academic Homepages. EMNLP, 1005-1010, 2018.
(data set)
- 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.
- 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.
- 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.
(binary package)
- Jianzhong Qi, Vivek Kumar, Rui Zhang, Egemen Tanin, Goce Trajcevski, and Peter Scheuermann. Continuous Maintenance of Range Sum Heat Maps. ICDE, 1625-1628, 2018.
(source code)
- 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.
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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.
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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.
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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.
(source code)
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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.
(source code)
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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.
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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.
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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.
(source code)
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Jianzhong Qi, Rui Zhang, Lars Kulik, Dan Lin, and Yuan Xue. The Min-dist Location Selection Query. ICDE, 366-377, 2012. (Slides)
(source code)
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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).
(source code)
Professional Services
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Publicity Chair: SIGSPATIAL 2022.
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WSDM Cup Chair: 2019.
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PC Chair: ADC 2020.
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Proceedings Chair: ADC 2015, ADC 2018.
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Track Chair: CSS 2017.
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Session Chair: KDD 2021.
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PC member:
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2023: SIGMOD, WSDM, ICLR, DASFAA, ACSW
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2022: SIGIR, WSDM, ICML, NeurIPS, ICLR, AAAI, ACL, EMNLP, KDD, ICDM, CIKM, SIGSPATIAL, SDM, PAKDD
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2021: SIGIR, WSDM, ICML, NeurIPS, ICLR, EMNLP, KDD, ICDM, CIKM, JCDL, SIGSPATIAL, PAKDD, SSTD, DASFAA, APWeb-WAIM, AusPDC
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2020: SIGIR, ICML, NeurIPS, IJCAI, CIKM, JCDL, SIGSPATIAL, PAKDD, APWeb-WAIM, AusPDC
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2019: NeurIPS, ICDE, SIGSPATIAL, SSTD, APWeb-WAIM, ADC, ACSW, AusDM
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2018: CIKM, SIGSPATIAL, MDM, APWeb-WAIM, ACSW, AusDM
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2017: ICDE, CIKM, SIGSPATIAL, APWeb-WAIM, ACSW, AusDM, BigCom, IWSC
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2016: APWeb
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2015: APWeb
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2014: ICDM-IDP Workshop, HuMoComp.
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Journal reviewer:
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ACM Computing Surveys
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ACM Transactions on Database Systems
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ACM Transactions on Privacy and Security
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ACM Transactions on Spatial Algorithms and Systems
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ACM Transactions on Internet Technology
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ACM Transactions on Intelligent Systems and Technology.
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Distributed and Parallel Databases
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GeoInformatica
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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IEEE Transactions on Image Processing
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IEEE Transactions on Knowledge and Data Engineering
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IEEE Transactions on Neural Networks and Learning Systems
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IEEE Transactions on Mobile Computing
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Journal of Parallel and Distributed Computing
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Parallel Computing
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The VLDB Journal
World Wide Web Journal
Grants and Awards
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2023 - 2025, ARC Discovery Project x 1, Australian Research Council.
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2020, MSE Platform Interdisciplinary Grant, Melbourne School of Engineering.
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2019, ByteDance Research Gift Grant, ByteDance Inc.
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2018 - 2021, ARC Discovery Project x 2, Australian Research Council.
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2017, Eshbach Visiting Scholar Fellowship, Northwestern University.
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2016, Early Career Researcher (ECR) Grant, University of Melbourne.
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2015, Early Career Researcher (ECR) Grant, Melbourne School of Engineering.
- 2022, Excellence in Research, School of Computing and Information Systems.
- 2021, Best Paper Runner-Up, SSDBM.
- 2021, Best Paper, ALTA.
- 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).
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2015, Best Poster, ADC.
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2012, Runner-up for Best Paper, ADC.
Teaching
- Semester 1, 2016 - 2022, Foundations of Algorithms (COMP10002).
- Semester 2, 2022, Intro. to Numerical Computation in C (COMP20005).
- 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
- Xinting Huang (PhD, co-supervised with Dr. Bayu D. Trisedya), 2022
- Yunxiang Zhao (PhD, co-supervised with Dr. Bayu D. Trisedya), 2022
- Yixin Xu (PhD, co-supervised with Prof. Lars Kulik), 2021
- Aili Shen (PhD, co-supervised with Prof. Timothy Baldwin), 2021
- Yimeng Dai (PhD, co-supervised with Prof. Rui Zhang), 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
Miscellaneous
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Created by Jianzhong Qi.
Last modified: 16/01/2023.
Mandatory disclaimer:
This page, its content and style, are the responsibility of the
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