Jianzhong Qi

Orcid: 0000-0001-6501-9050

Affiliations:
  • University of Melbourne, School of Computing and Information Systems, Australia


According to our database1, Jianzhong Qi authored at least 147 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network.
IEEE Trans. Knowl. Data Eng., September, 2024

AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment Enabled by Large Language Models.
IEEE Trans. Knowl. Data Eng., June, 2024

Trajectory Similarity Measurement: An Efficiency Perspective.
Proc. VLDB Endow., May, 2024

Fast, accurate and explainable time series classification through randomization.
Data Min. Knowl. Discov., 2024

Federated Graph Learning for Cross-Domain Recommendation.
CoRR, 2024

Learned Indexes with Distribution Smoothing via Virtual Points.
CoRR, 2024

Factual Dialogue Summarization via Learning from Large Language Models.
CoRR, 2024

Learning with Style: Improving Student Code-Style Through Better Automated Feedback.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Sample-specific Masks for Visual Reprogramming-based Prompting.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Efficient Example-Guided Interactive Graph Search.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

LTPG: Large-Batch Transaction Processing on GPUs with Deterministic Concurrency Control.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Urban Region Representation Learning with Attentive Fusion.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Chameleon: Towards Update-Efficient Learned Indexing for Locally Skewed Data.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Spatial-temporal Forecasting for Regions without Observations.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023
TransCP: A Transformer Pointer Network for Generic Entity Description Generation With Explicit Content-Planning.
IEEE Trans. Knowl. Data Eng., December, 2023

Learning Region Similarities via Graph-Based Deep Metric Learning.
IEEE Trans. Knowl. Data Eng., October, 2023

A Graph and Attentive Multi-Path Convolutional Network for Traffic Prediction.
IEEE Trans. Knowl. Data Eng., July, 2023

WISK: A Workload-aware Learned Index for Spatial Keyword Queries.
Proc. ACM Manag. Data, 2023

Efficient Cost Modeling of Space-filling Curves.
CoRR, 2023

Fake News Detection Through Graph-based Neural Networks: A Survey.
CoRR, 2023

INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging.
Proceedings of the ACM Web Conference 2023, 2023

Fake News Detection Through Temporally Evolving User Interactions.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

A Fast Hybrid Spatial Index with External Memory Support.
Proceedings of the 39th IEEE International Conference on Data Engineering, ICDE 2023, 2023

Efficient Index Learning via Model Reuse and Fine-tuning.
Proceedings of the 39th IEEE International Conference on Data Engineering, ICDE 2023, 2023

Efficiently Learning Spatial Indices.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Contrastive Trajectory Similarity Learning with Dual-Feature Attention.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

MaaSDB: Spatial Databases in the Era of Large Language Models (Vision Paper).
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Spatial Structure-Aware Road Network Embedding via Graph Contrastive Learning.
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A benchmark and comprehensive survey on knowledge graph entity alignment via representation learning.
VLDB J., 2022

Distributed Hypergraph Processing Using Intersection Graphs.
IEEE Trans. Knowl. Data Eng., 2022

STPC-Net: Learn Massive Geo-Sensory Data as Spatio-Temporal Point Clouds.
IEEE Trans. Intell. Transp. Syst., 2022

Scalable Building Height Estimation From Street Scene Images.
IEEE Trans. Geosci. Remote. Sens., 2022

GCP: Graph Encoder With Content-Planning for Sentence Generation From Knowledge Bases.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs.
CoRR, 2022

EC-Graph: A Distributed Graph Neural Network System with Error-Compensated Compression.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Parallel Skyline Processing Using Space Pruning on GPU.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
OpenDrop: Open-source software for pendant drop tensiometry & contact angle measurements.
Dataset, February, 2021

Evaluating Document Coherence Modelling.
Trans. Assoc. Comput. Linguistics, 2021

Adversarial Distillation for Learning with Privileged Provisions.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

OpenDrop: Open-source software for pendant drop tensiometry & contact angle measurements.
J. Open Source Softw., 2021

Route intersection reduction with connected autonomous vehicles.
GeoInformatica, 2021

Findings on Conversation Disentanglement.
CoRR, 2021

SkyCell: A Space-Pruning Based Parallel Skyline Algorithm.
CoRR, 2021

Fast, Accurate and Interpretable Time Series Classification Through Randomization.
CoRR, 2021

A Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning.
CoRR, 2021

A Lazy Approach for Efficient Index Learning.
CoRR, 2021

Combating Selection Biases in Recommender Systems with a Few Unbiased Ratings.
Proceedings of the WSDM '21, 2021

Sub-trajectory Similarity Join with Obfuscation.
Proceedings of the SSDBM 2021: 33rd International Conference on Scientific and Statistical Database Management, 2021

WGCN: Graph Convolutional Networks with Weighted Structural Features.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Federated Learning with Fair Averaging.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Automatic Webpage Briefing.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Grouped-Attention for Content-Selection and Content-Plan Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Designing Anthropomorphic Therapeutic Conversational Agents: An Uncanny Valley Perspective.
Proceedings of the 29th European Conference on Information Systems, 2021

Latent Reasoning for Low-Resource Question Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Efficient processing of moving collective spatial keyword queries.
VLDB J., 2020

Packing R-trees with Space-filling Curves: Theoretical Optimality, Empirical Efficiency, and Bulk-loading Parallelizability.
ACM Trans. Database Syst., 2020

Effectively Learning Spatial Indices.
Proc. VLDB Endow., 2020

A General Approach to Multimodal Document Quality Assessment.
J. Artif. Intell. Res., 2020

SANST: A Self-Attentive Network for Next Point-of-Interest Recommendation.
CoRR, 2020

Joint Recognition of Names and Publications in Academic Homepages.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

GeoPrune: Efficiently Matching Trips in Ride-sharing Through Geometric Properties.
Proceedings of the SSDBM 2020: 32nd International Conference on Scientific and Statistical Database Management, 2020

Person Name Recognition with Fine-grained Annotation.
Proceedings of the JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020

TimeSAN: A Time-Modulated Self-Attentive Network for Next Point-of-Interest Recommendation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Fast and Accurate Time Series Classification Through Supervised Interval Search.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Highly Efficient and Scalable Multi-hop Ride-sharing.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Generalizable and Explainable Dialogue Generation via Explicit Action Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

A Learning Based Approach to Predict Shortest-Path Distances.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

Short-Term and Long-Term Context Aggregation Network for Video Inpainting.
Proceedings of the Computer Vision - ECCV 2020, 2020

Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

GMAN: A Graph Multi-Attention Network for Traffic Prediction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Sentence Generation for Entity Description with Content-Plan Attention.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

MALA: Cross-Domain Dialogue Generation with Action Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Query Processing - <i>k</i>NN.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

Indexing.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

HyperX: A Scalable Hypergraph Framework.
IEEE Trans. Knowl. Data Eng., 2019

Generating traffic data for any city using SMARTS simulator.
ACM SIGSPATIAL Special, 2019

GOAL: a clustering-based method for the group optimal location problem.
Knowl. Inf. Syst., 2019

Diversifying Top-k Routes with Spatial Constraints.
J. Comput. Sci. Technol., 2019

Moving <i>k</i>NN query processing in metric space based on influential sets.
Inf. Syst., 2019

GeoPrune: Efficiently Finding Shareable Vehicles Based on Geometric Properties.
CoRR, 2019

CBHE: Corner-based Building Height Estimation for Complex Street Scene Images.
Proceedings of the World Wide Web Conference, 2019

Query-Aware Bayesian Committee Machine for Scalable Gaussian Process Regression.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

A Joint Model for Multimodal Document Quality Assessment.
Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries, 2019

Boosted GAN with Semantically Interpretable Information for Image Inpainting.
Proceedings of the International Joint Conference on Neural Networks, 2019

CARL: Aggregated Search with Context-Aware Module Embedding Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Generative Image Inpainting with Submanifold Alignment.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random.
Proceedings of the 36th International Conference on Machine Learning, 2019

DBSVEC: Density-Based Clustering Using Support Vector Expansion.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

A Joint Context-Aware Embedding for Trip Recommendations.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Quantifying the Impact of Autonomous Vehicles using Microscopic Simulations.
Proceedings of the 12th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2019

Streaming Route Assignment for Connected Autonomous Vehicles (Systems Paper).
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Modelling Uncertainty in Collaborative Document Quality Assessment.
Proceedings of the 5th Workshop on Noisy User-generated Text, 2019

Neural Relation Extraction for Knowledge Base Enrichment.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Feature-guided Neural Model Training for Supervised Document Representation Learning.
Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association, 2019

Entity Alignment between Knowledge Graphs Using Attribute Embeddings.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
K-Regret Queries Using Multiplicative Utility Functions.
ACM Trans. Database Syst., 2018

Theoretically Optimal and Empirically Efficient R-trees with Strong Parallelizability.
Proc. VLDB Endow., 2018

Continuous Spatial Query Processing: A Survey of Safe Region Based Techniques.
ACM Comput. Surv., 2018

A Jointly Learned Context-Aware Place of Interest Embedding for Trip Recommendations.
CoRR, 2018

Web Page Template and Data Separation for Better Maintainability.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Citation Field Learning by RNN with Limited Training Data.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

Context-Uncertainty-Aware Chatbot Action Selection via Parameterized Auxiliary Reinforcement Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

A Joint Optimization Approach for Personalized Recommendation Diversification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

KDGAN: Knowledge Distillation with Generative Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

CommuteShare: A Ridesharing Service for Daily Commuters Using Cross-Domain Urban Big Data.
Proceedings of the 2018 IEEE International Conference on Web Services, 2018

Continuous Maintenance of Range Sum Heat Maps.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

A GPU Accelerated Update Efficient Index for kNN Queries in Road Networks.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Studying transportation problems with the SMARTS simulator (demo paper).
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

PubSE: A Hierarchical Model for Publication Extraction from Academic Homepages.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Finding All Nearest Neighbors with a Single Graph Traversal.
Proceedings of the Database Systems for Advanced Applications, 2018

Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

GTR-LSTM: A Triple Encoder for Sentence Generation from RDF Data.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Finding lowest-cost paths in settings with safe and preferred zones.
VLDB J., 2017

Collective-k Optimal Location Selection.
Proceedings of the Advances in Spatial and Temporal Databases, 2017

From How to Where: Traffic Optimization in the Era of Automated Vehicles.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

The Flexible Group Spatial Keyword Query.
Proceedings of the Databases Theory and Applications, 2017

A Hybrid Model for Quality Assessment of Wikipedia Articles.
Proceedings of the Australasian Language Technology Association Workshop, 2017

2016
The Moving K Diversified Nearest Neighbor Query.
IEEE Trans. Knowl. Data Eng., 2016

K-Regret Queries: From Additive to Multiplicative Utilities.
CoRR, 2016

Reverse nearest neighbor heat maps: A tool for influence exploration.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

INSQ: An influential neighbor set based moving kNN query processing system.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Disambiguating Entities Referred by Web Endpoints using Tree Ensembles.
Proceedings of the Australasian Language Technology Association Workshop 2016, Melbourne, Australia, December 5, 2016

N-ary Biographical Relation Extraction using Shortest Path Dependencies.
Proceedings of the Australasian Language Technology Association Workshop 2016, Melbourne, Australia, December 5, 2016

2015
Indexable online time series segmentation with error bound guarantee.
World Wide Web, 2015

Solving the data sparsity problem in destination prediction.
VLDB J., 2015

A safe region based approach to moving KNN queries in obstructed space.
Knowl. Inf. Syst., 2015

A privacy-enhancing model for location-based personalized recommendations.
Distributed Parallel Databases, 2015

MapReduce based location selection algorithm for utility maximization with capacity constraints.
Computing, 2015

The safest path via safe zones.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

K-Nearest Neighbor Temporal Aggregate Queries.
Proceedings of the 18th International Conference on Extending Database Technology, 2015

A Domain Independent Approach for Extracting Terms from Research Papers.
Proceedings of the Databases Theory and Applications, 2015

2014
The min-dist location selection and facility replacement queries.
World Wide Web, 2014

Real-time continuous intersection joins over large sets of moving objects using graphic processing units.
VLDB J., 2014

Towards a Painless Index for Spatial Objects.
ACM Trans. Database Syst., 2014

Processing Moving kNN Queries Using Influential Neighbor Sets.
Proc. VLDB Endow., 2014

Continuous visible k nearest neighbor query on moving objects.
Inf. Syst., 2014

MASCOT: Fast and Highly Scalable SVM Cross-Validation Using GPUs and SSDs.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Efficient Subgraph Matching Using GPUs.
Proceedings of the Databases Theory and Applications, 2014

2013
Towards realtime multiset correlation in large scale geosimulation.
PhD thesis, 2013

2012
A highly optimized algorithm for continuous intersection join queries over moving objects.
VLDB J., 2012

The Min-dist Location Selection Query.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

A Branch and Bound Method for Min-dist Location Selection Queries.
Proceedings of the Twenty-Third Australasian Database Conference, 2012

2011
Top-k most influential locations selection.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011


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