Papers (back to Jianzhong's homepage)

  1. Jianzhong Qi, Zuqing Li, and Egemen Tanin. MaaSDB: Spatial Databases in the Era of Large Language Models. SIGSPATIAL, 2023.

  2. 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, 35(7): 6548-6560, 2023. (source code)

  3. Xinyu Su, Jianzhong Qi, Egemen Tanin, Yanchuan Chang, and Majid Sarvi. Spatial-temporal Forecasting for Regions without Observations. EDBT, accepted to appear in 2024.

  4. Jianpeng Wei, Yu Gu, Tianyi Li, Jianzhong Qi, Chuanwen Li, Yanfeng Zhang, Christian S. Jensen, and Ge Yu. LTPG: Large-Batch Transaction Processing on GPUs with Deterministic Concurrency Control. ICDE, accepted to appear in 2024.

  5. Rui Zhang, Yixin Su, Bayu Distiawan Trisedya, Xiaoyan Zhao, Min Yang, Hong Cheng, and Jianzhong Qi. AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models. TKDE, accepted to appear in 2024.

  6. Nestor Cabello, Elham Naghizade, Jianzhong Qi, and Lars Kulik. Fast, Accurate and Explainable Time Series Classification Through Randomization. Data Mining and Knowledge Discovery, accepted in 2023.

  7. Guanli Liu, Jianzhong Qi, Christian S. Jensen, James Bailey, and Lars Kulik. Efficiently Learning Spatial Indices. ICDE, 1572-1584, 2023. (source code)

  8. Yanchuan Chang, Jianzhong Qi, Yuxuan Liang, and Egemen Tanin. Contrastive Trajectory Similarity Learning with Dual-Feature Attention. ICDE, 2933-2945, 2023.

  9. Yufan Sheng, Xin Cao, Yixiang Fang, Kaiqi Zhao, Jianzhong Qi, Gao Cong, and Wenjie Zhang. WISK: A Workload-aware Learned Index for Spatial Keyword Queries. Proc. ACM Manag. Data (SIGMOD), 1(2): 187:1-187:27, 2023.

  10. Yunxiang Zhao, Jianzhong Qi, Bayu D. Trisedya, Yixin Su, Rui Zhang, and Hongguang Ren. Learning Region Similarities via Graph-based Deep Metric Learning. TKDE, 35(10): 10237-10250 (2023).

  11. Bayu D. Trisedya, Jianzhong Qi, Haitao Zheng, Flora D. Salim, and Rui Zhang. TransCP: A Transformer Pointer Network for Generic Entity Description Generation with Explicit Content-Planning. TKDE, 35(12): 13070-13082 (2023)

  12. Rongxin Zhu, Jianzhong Qi, and Jey Han Lau. Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization. ACL, 6825-6845, 2023.

  13. Miao Li, Jianzhong Qi, and Jey Han Lau. Compressed Heterogeneous Graph for Abstractive Multi-document Summarization. AAAI, 13085-13093, 2023.

  14. 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, 10271-10278, 2023.

  15. Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi, Chaochao Chen, and Longbiao Chen. INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging. The Web Conference, 673-683, 2023.

  16. Yanchuan Chang, Egemen Tanin, Xin Cao, and Jianzhong Qi. Spatial Structure-Aware Road Network Embedding via Graph Contrastive Learning. EDBT, 144-156, 2023. (notes)

  17. Shuzhi Gong, Richard Sinnott, Jianzhong Qi, and Cecile Paris. Fake News Detection Through Temporally Evolving User Interactions. PAKDD, 137-148, 2023.

  18. Guanli Liu, Jianzhong Qi, Lars Kulik, Kazuya Soga, Renata Borovica-Gajic, and Benjamin I. P. Rubinstein. Efficient Index Learning via Model Reuse and Fine-tuning. International Workshop on Databases and Machine Learning (DBML), 60-66, 2023. (source code)

  19. Xinyu Su, Jianzhong Qi, and Egemen Tanin. A Fast Hybrid Spatial Index with External Memory Support. International Workshop on Databases and Machine Learning (DBML), 67-73, 2023.

  20. 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)

  21. 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.

  22. 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.

  23. 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.

  24. Chuanwen Li, Yu Gu, Jianzhong Qi, and Ge Yu. Parallel Skyline Processing Using Space Pruning on GPU. CIKM, 1074-1083, 2022.

  25. Yunxiang Zhao, Jianzhong Qi, Flip Korn, and Xiangyu Wang. Scalable Building Height Estimation From Street Scene Images. IEEE Transactions on Geoscience and Remote Sensing, 60: 1-18, 2022.

  26. Chuanpan Zheng, Cheng Wang, Xiaoliang Fan, Jianzhong Qi, and Xu Yan. STPC-Net: Learn Massive Geo-sensory Data as Spatio-Temporal Point Clouds. IEEE Transactions on Intelligent Transportation Systems, 23(8): 11314-11324, 2022

  27. Bayu D. Trisedya, Xiaojie Wang, Jianzhong Qi, Rui Zhang and Qingjun Cui. Grouped-Attention for Content-Selection and Content-Plan Generation. Findings of EMNLP, 1935-1944, 2021.

  28. Yanchuan Chang, Jianzhong Qi, Egemen Tanin, Xingjun Ma, and Hanan Samet. Sub-trajectory Similarity Join with Obfuscation. SSDBM, 181-192, 2021 (Best Paper Runner-up).

  29. Rongxin Zhu, Jey Han Lau, and Jianzhong Qi. Findings on Conversation Disentanglement. Australasian Language Technology Association Workshop (ALTA), 2021 (Best Paper).

  30. Xinting Huang, Jianzhong Qi, Yu Sun, and Rui Zhang. Latent Reasoning for Low-Resource Question Generation. Findings of ACL, 3008-3022, 2021.

  31. Yunxiang Zhao, Jianzhong Qi, Qingwei Liu, and Rui Zhang. WGCN: Graph Convolutional Networks with Weighted Structural Features. SIGIR, 624-633, 2021.

  32. Zheng Wang, Xiaoliang Fan, Jianzhong Qi, Chenglu Wen, Cheng Wang, and Rongshan Yu. Federated Learning with Fair Averaging. IJCAI, 1615-1623, 2021.

  33. Aili Shen, Meladel Mistica, Bahar Salehi, Hang Li, Timothy Baldwin, and Jianzhong Qi. Evaluating Document Coherence Modelling. TACL, 9: 621-640, 2021.

  34. Yimeng Dai, Rui Zhang, and Jianzhong Qi. Automatic Webpage Briefing. ICDE, 1727-1738, 2021.

  35. Xiaojie Wang, Rui Zhang, Yu Sun, and Jianzhong Qi. Combating Selection Biases in Recommender Systemswith A Few Unbiased Ratings. WSDM, 427-435, 2021.

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

  37. Tingru Cui, Xinwei Wang, Jianzhong Qi. Designing Anthropomorphic Therapeutic Conversational Agents: An Uncanny Valley Perspective. European Conference on Information Systems (ECIS), 2021

  38. Sadegh Motallebi, Hairuo Xie, Egemen Tanin, Jianzhong Qi, and Kotagiri Ramamohanarao. Route Intersection Reduction with Connected Autonomous Vehicles. Geoinformatica, 25(1): 99-125, 2021.

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

  40. 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.

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

  42. Xinting Huang, Jianzhong Qi, Yu Sun, and Rui Zhang. Generalizable and Explainable Dialogue Generation via Explicit Action Learning. Findings of EMNLP, 3981-3991, 2020.

  43. Aili Shen, Bahar Salehi, Jianzhong Qi, and Timothy Baldwin. A General Approach to Multimodal Document Quality Assessment. Journal of Artificial Intelligence Research (JAIR). 68: 607-632, 2020.

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

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

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

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

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

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

  50. 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.

  51. Nestor Cabello, Elham Naghizade, Jianzhong Qi, and Lars Kulik. Fast and Accurate Time Series ClassificationThrough Supervised Interval Search. ICDM, 2020.

  52. Yunxiang Zhao, Qiuhong Ke, Flip Korn, Jianzhong Qi, and Rui Zhang. HexCNN: A Framework for Native HexagonalConvolutional Neural Networks. ICDM, 2020.

  53. Yixin Xu, Lars Kulik, Renata Borovica-Gajic, Abdullah Aldwyish, and Jianzhong Qi. Highly Efficient and Scalable Multi-hop Ride-sharing. SIGSPATIAL, 2020.

  54. Yixin Xu, Jianzhong Qi, Renata Borovica-Gajic, and Lars Kulik. GeoPrune: Efficiently Matching Trips in Ride-sharing Through Geometric Properties. SSDBM, 5:1-5:12, 2020.

  55. Jiayuan He, Jianzhong Qi and Kotagiri Ramamohanarao. TimeSAN: A Time-Modulated Self-Attentive Network for Next Point-of-Interest Recommendation. International Joint Conference on Neural Networks (IJCNN), 2020.

  56. 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.

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

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

  59. 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.

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

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

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

  63. Jiayuan He, Jianzhong Qi, and Kotagiri Ramamohanarao. Query-aware Bayesian Committee Machine for scalable Gaussian Process Regression. SDM, 208-216, 2019.

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

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

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

  67. Chuanwen Li, Yu Gu, Jianzhong Qi, Rui Zhang, Ge Yu. Moving kNN query processing in metric space based on influential sets. Information Systems, 83:126-144, 2019.

  68. Fangshu Chen, Jianzhong Qi, Huaizhong Lin, Yunjun Gao, and Dongming Lu. GOAL: A Clustering Based Method for the Group Optimal Location Problem. KAIS, 61(2): 873-903, 2019.

  69. Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang, Hai-Tao Zheng. CARL: Aggregated Search with Context-Aware Module Embedding Learning. International Joint Conference on Neural Networks (IJCNN), 2019.

  70. Ang Li, Jianzhong Qi, Rui Zhang, Kotagiri Ramamohanarao. Boosted GAN with Semantically Interpretable Information for Image Inpainting. International Joint Conference on Neural Networks (IJCNN), 2019.

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

  72. 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.

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

  74. 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.

  75. 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.

  76. 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.

  77. 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)

  78. 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.

  79. Xiaojie Wang, Jianzhong Qi, Ramamohanarao Kotagiri, Yu Sun, Bo Li, and Rui Zhang. A Joint Optimization Approach for Personalized Recommendation Diversification. PAKDD, 597-609, 2018.

  80. Chuandong Yin, Rui Zhang, Jianzhong Qi, Yu Sun, and Tenglun Tan. Context-Uncertainty-Aware Chatbot Action Selection via Parameterized Auxiliary Reinforcement Learning. PAKDD, 500-512, 2018.

  81. Chenxu Zhao, Rui Zhang, and Jianzhong Qi. Web Page Template and Data Separation for Better Maintainability. WISE, 439-449, 2018.

  82. Xiaoliang Fan, Chang Xu, Fang Tang, Jianzhong Qi, Xiao Liu, Longbiao Chen, and Cheng Wang. CommuteShare: A Ridesharing Service for Daily Commuters Using Cross-domain Urban Big Data. IEEE International Conference on Web Services (ICWS), 298-301, 2018.

  83. Yixin Xu, Jianzhong Qi, Renata Borovica-Gajic, and Lars Kulik. Finding All Nearest Neighbors with a Single Graph Traversal. DASFAA, 221-238, 2018.

  84. 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)

  85. Aili Shen, Jianzhong Qi, and Timothy Baldwin. A Hybrid Model for Quality Assessment of Wikipedia Articles. 15th Annual Workshop of The Australasian Language Technology Association (ALTA), 43-52, 2017.

  86. Yu Gu, Guanli Liu, Jianzhong Qi, Hongfei Xu, Ge Yu, and Rui Zhang. The Moving K Diversified Nearest Neighbor Query (TKDE invited poster). ICDE, 31-32, 2017.

  87. Sabbir Ahmad, Rafi Kamal, Mohammed Eunus Ali, Jianzhong Qi, Peter Scheuermann, and Egemen Tanin. The Flexible Group Spatial Keyword Query. ADC, 3-16, 2017.

  88. Fangshu Chen, Huaizhong Lin, Jianzhong Qi, Pengfei Li, and Yunjun Gao. Collective-k Optimal Location Selection. SSTD, 339-356, 2017.

  89. 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.

  90. 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.

  91. Gitansh Khirbat, Jianzhong Qi, and Rui Zhang. N-ary Biographical Relation Extraction using Shortest Path Dependencies. 14th Annual Workshop of The Australasian Language Technology Association (ALTA), 74-83, 2016.

  92. Gitansh Khirbat, Jianzhong Qi, and Rui Zhang. Disambiguating Entities Referred by Web Endpoints using Tree Ensembles. 14th Annual Workshop of The Australasian Language Technology Association (ALTA), 165-169, 2016.

  93. 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.

  94. 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).

  95. 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.

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

  97. Birong Jiang, Endong Xun, and Jianzhong Qi. A Domain Independent Approach for Extracting Terms from Research Papers. Australasian Database Conference (ADC), 155-166, 2015.

  98. Yu Sun, Jianzhong Qi, Yu Zheng, and Rui Zhang. K-Nearest Neighbor Temporal Aggregate Queries. EDBT, 493-504, 2015.

  99. 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.

  100. Jin Huang, Jianzhong Qi, Yabo Xu, and Jian Chen. A Privacy-enhancing Model for Location-based Personalized Recommendations. Distributed and Parallel Databases, 33(2): 253-276, 2015.

  101. Yu Sun, Jianzhong Qi, Rui Zhang, Yueguo Chen, and Xiaoyong Du. MapReduce Based Location Selection Algorithm for Utility Maximization with Capacity Constraints. Computing, 97(4): 403-423, 2015.

  102. Chuanwen Li, Yu Gu, Jianzhong Qi, Rui Zhang, and Ge Yu. A Safe Region based Approach to Moving KNN Queries in Obstructed Space. Knowledge and Information Systems, 45(2): 417-451, 2015.

  103. 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.

  104. Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao, Jianzhong Qi, and Kerry Taylor. MASCOT: Fast and Highly Scalable SVM Cross-validation using GPUs and SSDs. ICDM, 580-589, 2014.

  105. 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.

  106. 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.

  107. Xiaojie Lin, Rui Zhang, Zeyi Wen, Hongzhi Wang, and Jianzhong Qi. Efficient Subgraph matching using GPUs. Australasian Database Conference (ADC), 74-85, 2014.

  108. Yanqiu Wang, Rui Zhang, Chuanfei Xu, Jianzhong Qi, Yu Gu, and Ge Yu. Continuous Visible k Nearest Neighbor Query on Moving Objects. Information Systems, 44: 1-21, 2014.

  109. 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.

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

  111. 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.

  112. 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).

  113. Jin Huang, Zeyi Wen, Jianzhong Qi, Rui Zhang, Jian Chen, and Zhen He. Top-k Most Influential Location Selection. CIKM, 2377-2380, 2011 (poster paper).

Proceedings Edited

  1. Renata Borovica-Gajic, Jianzhong Qi, Weiqing Wang: Databases Theory and Applications - Proceedings of the 31st Australasian Database Conference, ADC 2020. Lecture Notes in Computer Science 12008, Springer 2020.

  2. Junhu Wang, Gao Cong, Jinjun Chen, and Jianzhong Qi. Databases Theory and Applications - Proceedings of the 29th Australasian Database Conference, ADC 2018. Lecture Notes in Computer Science 10837, Springer 2018.

  3. Mohamed A. Sharaf, Muhammad Aamir Cheema, and Jianzhong Qi. Databases Theory and Applications - Proceedings of the 26th Australasian Database Conference, ADC 2015. Lecture Notes in Computer Science 9093, Springer 2015.

Book Chapters

  1. Jianzhong Qi and Rui Zhang. Query Processing - kNN (2020 revision), Encyclopedia of Big Data Technologies, 2020.

  2. Jianzhong Qi and Rui Zhang. Indexing (2020 revision), Encyclopedia of Big Data Technologies, 2020.

  3. Jianzhong Qi and Rui Zhang. Query Processing - kNN, Encyclopedia of Big Data Technologies, Eds. Sherif Sakr and Albert Zomaya, Springer, 2018.

  4. Jianzhong Qi and Rui Zhang. Indexing, Encyclopedia of Big Data Technologies, Eds. Sherif Sakr and Albert Zomaya, Springer 2018.

Technical Reports and Other Writings

Created by Jianzhong Qi.
Last modified: 15/12/2023.

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.