-
Yanchuan Chang, Egemen Tanin, Gao Cong, Christian S. Jensen, and Jianzhong Qi.
Trajectory Similarity Measurement: An Efficiency Perspective. PVLDB, 17(9): 2293-2306, 2024.
-
Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, and Feng Liu.
Sample-specific Masks for Visual Reprogramming-based Prompting.
ICML, 2024.
-
Zhuowei Zhao, Junhao Gan, Jianzhong Qi, and Zhifeng Bao.
Efficient Example-Guided Interactive Graph Search. ICDE, 342-354, 2024.
-
Fengze Sun, Jianzhong Qi, Yanchuan Chang, Xiaoliang Fan, Shanika Karunasekera, and Egemen Tanin.
Urban Region Representation Learning with Attentive Fusion. ICDE, 4409-4421, 2024.
-
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, 3865-3877, 2024.
-
Na Guo, Yaqi Wang, Wenli Sun, Yu Gu, Jianzhong Qi, Zhenghao Liu, Xiufeng Xia, and Ge Yu.
Chameleon: Towards Update-Efficient Learned Indexing for Locally Skewed Data. ICDE, 4316-4328, 2024.
-
Xinyu Su, Jianzhong Qi, Egemen Tanin, Yanchuan Chang, and Majid Sarvi.
Spatial-temporal Forecasting for Regions without Observations.
EDBT, 488-500, 2024.
-
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, 36(6): 2357-2371, 2024.
-
Nestor Cabello, Elham Naghizade, Jianzhong Qi, and Lars Kulik.
Fast, Accurate and Explainable Time Series Classification Through Randomization.
Data Mining and Knowledge Discovery, 38(2): 748-811, 2024.
-
Jianzhong Qi, Zuqing Li, and Egemen Tanin.
MaaSDB: Spatial Databases in the Era of Large Language Models.
SIGSPATIAL, 2023.
-
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)
-
Guanli Liu, Jianzhong Qi, Christian S. Jensen, James Bailey, and Lars Kulik.
Efficiently Learning Spatial Indices.
ICDE, 1572-1584, 2023.
(source code)
-
Yanchuan Chang, Jianzhong Qi, Yuxuan Liang, and Egemen Tanin.
Contrastive Trajectory Similarity Learning with Dual-Feature Attention.
ICDE, 2933-2945, 2023.
-
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.
-
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).
-
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)
-
Rongxin Zhu, Jianzhong Qi, and Jey Han Lau.
Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization.
ACL, 6825-6845, 2023.
-
Miao Li, Jianzhong Qi, and Jey Han Lau.
Compressed Heterogeneous Graph for Abstractive Multi-document Summarization.
AAAI, 13085-13093, 2023.
-
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.
-
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.
-
Yanchuan Chang, Egemen Tanin, Xin Cao, and Jianzhong Qi.
Spatial Structure-Aware Road Network Embedding via Graph Contrastive Learning.
EDBT, 144-156, 2023. (notes)
- Shuzhi Gong, Richard Sinnott, Jianzhong Qi, and Cecile Paris.
Fake News Detection Through Temporally Evolving User Interactions.
PAKDD, 137-148, 2023.
-
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)
-
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.
-
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)
-
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.
-
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.
-
Chuanwen Li, Yu Gu, Jianzhong Qi, and Ge Yu.
Parallel Skyline Processing Using Space Pruning on GPU.
CIKM, 1074-1083, 2022.
-
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.
-
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
-
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.
-
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).
-
Rongxin Zhu, Jey Han Lau, and Jianzhong Qi.
Findings on Conversation Disentanglement.
Australasian Language Technology Association Workshop (ALTA), 2021 (Best Paper).
-
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.
-
Zheng Wang, Xiaoliang Fan, Jianzhong Qi, Chenglu Wen, Cheng Wang, and Rongshan Yu.
Federated Learning with Fair Averaging. IJCAI, 1615-1623, 2021.
- 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.
-
Tingru Cui, Xinwei Wang, Jianzhong Qi.
Designing Anthropomorphic Therapeutic Conversational Agents: An Uncanny Valley Perspective. European Conference on Information Systems (ECIS), 2021
-
Sadegh Motallebi, Hairuo Xie, Egemen Tanin, Jianzhong Qi, and Kotagiri Ramamohanarao.
Route Intersection Reduction with Connected Autonomous Vehicles.
Geoinformatica, 25(1): 99-125, 2021.
- Jianzhong Qi, Guanli Liu, Christian S. Jensen, and Lars Kulik. Effectively Learning Spatial Indices.
PVLDB, 13(11): 2341-2354, 2020.
- 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.
- Jianzhong Qi, Wei Wang, Rui Zhang, and Zhuowei Zhao. A Learning Based Approach to Predict Shortest-Path Distances. EDBT, 367-370,
2020.
- Xinting Huang, Jianzhong Qi, Yu Sun, and Rui Zhang.
Generalizable and Explainable Dialogue Generation via Explicit Action Learning. Findings of EMNLP, 3981-3991, 2020.
- 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.
- Yimeng Dai, Jianzhong Qi, and Rui Zhang. Joint Recognition of Names and Publications in Academic Homepages. WSDM, 133-141, 2020.
- Yimeng Dai, Rui Zhang, and Jianzhong Qi. Person Name Recognition with Fine-grained Name Annotation. JCDL, 243-252
, 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.
-
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.
-
Nestor Cabello, Elham Naghizade, Jianzhong Qi, and Lars Kulik.
Fast and Accurate Time Series ClassificationThrough Supervised Interval Search.
ICDM, 2020.
-
Yunxiang Zhao, Qiuhong Ke, Flip Korn, Jianzhong Qi, and Rui Zhang.
HexCNN: A Framework for Native HexagonalConvolutional Neural Networks.
ICDM, 2020.
-
Yixin Xu, Lars Kulik, Renata Borovica-Gajic, Abdullah Aldwyish, and Jianzhong Qi.
Highly Efficient and Scalable Multi-hop Ride-sharing.
SIGSPATIAL, 2020.
-
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.
- 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.
- 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.
- 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.
- Jiayuan He, Jianzhong Qi, and Kotagiri Ramamohanarao. Query-aware Bayesian Committee Machine for scalable Gaussian Process Regression. SDM, 208-216, 2019.
- Bayu D. Trisedya, Jianzhong Qi, and Rui Zhang. Entity Alignment between Knowledge Graphs Using Attribute Embeddings. AAAI, 297-304, 2019.
- Aili Shen, Bahar Salehi, Timothy Baldwin, Jianzhong Qi. A Joint Model for Multimodal Document Quality Assessment. JCDL, 107-110, 2019.
- Wenkai Jiang, Jianzhong Qi, Jeffrey Xu Yu, Jin Huang, and Rui Zhang. HyperX: A Scalable Hypergraph Framework. TKDE, 31(5): 909-922, 2019.
- 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.
- 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.
- 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.
- 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.
- 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.
- Yiqing Zhang, Jianzhong Qi, Rui Zhang, and Chuandong Yin. PubSE: A Hierarchical Model for Publication Extraction from Academic Homepages. EMNLP, 1005-1010, 2018.
- 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.
- 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)
- 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.
- 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.
- 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.
- Chenxu Zhao, Rui Zhang, and Jianzhong Qi. Web Page Template and Data Separation for Better Maintainability. WISE, 439-449, 2018.
- 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.
- Yixin Xu, Jianzhong Qi, Renata Borovica-Gajic, and Lars Kulik. Finding All Nearest Neighbors with a Single Graph Traversal. DASFAA, 221-238, 2018.
- 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)
- 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.
- 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.
- Sabbir Ahmad, Rafi Kamal, Mohammed Eunus Ali, Jianzhong Qi, Peter Scheuermann, and Egemen Tanin. The Flexible Group Spatial Keyword Query. ADC, 3-16, 2017.
- Fangshu Chen, Huaizhong Lin, Jianzhong Qi, Pengfei Li, and Yunjun Gao. Collective-k Optimal Location Selection. SSTD, 339-356, 2017.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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).
-
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.
-
Saad Aljubayrin, Jianzhong Qi, Christian Jensen, Rui Zhang, Zhen He, and Zeyi Wen. The Safest Path via Safe Zones. ICDE,
531-542, 2015.
-
Birong Jiang, Endong Xun, and Jianzhong Qi. A Domain Independent Approach for Extracting Terms from Research Papers. Australasian Database Conference (ADC),
155-166, 2015.
-
Yu Sun, Jianzhong Qi, Yu Zheng, and Rui Zhang. K-Nearest Neighbor Temporal Aggregate Queries. EDBT, 493-504, 2015.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
Xiaojie Lin, Rui Zhang, Zeyi Wen, Hongzhi Wang, and Jianzhong Qi. Efficient Subgraph matching using GPUs. Australasian Database Conference (ADC), 74-85, 2014.
-
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.
-
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.
-
Jianzhong Qi, Rui Zhang, Lars Kulik, Dan Lin, and Yuan Xue. The Min-dist Location Selection Query. ICDE, 366-377, 2012. (Slides)
-
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.
-
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).
-
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
-
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.
-
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.
-
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
-
Jianzhong Qi and Rui Zhang. Query Processing - kNN (2020 revision), Encyclopedia of Big Data
Technologies, 2020.
-
Jianzhong Qi and Rui Zhang. Indexing (2020 revision), Encyclopedia of Big Data Technologies, 2020.
-
Jianzhong Qi and Rui Zhang. Query Processing - kNN, Encyclopedia of Big Data
Technologies, Eds. Sherif Sakr and Albert Zomaya, Springer, 2018.
-
Jianzhong Qi and Rui Zhang. Indexing, Encyclopedia of Big Data Technologies, Eds.
Sherif Sakr and Albert Zomaya, Springer 2018.
Technical Reports and Other Writings
- Naiqi Li, Jianzhong Qi, and Rui Zhang. Summary of a Few Recent Papers on Spatio-temporal Data Management and Mining, 2016.
-
Yu Sun, Jianzhong Qi, Rui Zhang, Yueguo Chen, and Xiaoyong Du. MapReduce Based Location Selection Algorithm for Utility Maximization with Capacity Constraints, 2013.
- Jin Huang, Zeyi Wen, Jianzhong Qi, Rui Zhang, Jian Chen, and Zhen He. Top-k Most Influential Location Selection, 2011.
Created by Jianzhong Qi.
Last modified: 02/08/2024.
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This page, its content and style, are the responsibility of the
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