Rui Zhang

Orcid: 0000-0002-8132-6250

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


According to our database1, Rui Zhang authored at least 261 papers between 2004 and 2024.

Collaborative distances:

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Bibliography

2024
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers.
ACM Comput. Surv., November, 2024

BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data.
Proc. ACM Manag. Data, September, 2024

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

Embedding Compression in Recommender Systems: A Survey.
ACM Comput. Surv., May, 2024

ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation.
CoRR, 2024

Multimodal Pretraining and Generation for Recommendation: A Tutorial.
CoRR, 2024

A Survey on Self-Supervised Pre-Training of Graph Foundation Models: A Knowledge-Based Perspective.
CoRR, 2024

Multimodal Pretraining and Generation for Recommendation: A Tutorial.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

PMG : Personalized Multimodal Generation with Large Language Models.
Proceedings of the ACM on Web Conference 2024, 2024

RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Multi-sourced Integrated Ranking with Exposure Fairness.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

MAJL: A Model-Agnostic Joint Learning Framework for Music Source Separation and Pitch Estimation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Separation Is for Better Reunion: Data Lake Storage at Huawei.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Enhancing Multi-Task Models For Recommendation with Tensor Trace Norm.
Proceedings of the IEEE International Conference on Acoustics, 2024

PACAR: Automated Fact-Checking with Planning and Customized Action Reasoning Using Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Strategic Decisions: Survey, Taxonomy, and Future Directions from Artificial Intelligence Perspective.
ACM Comput. Surv., December, 2023

Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset.
ACM Trans. Inf. Syst., October, 2023

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

Precondition and effect reasoning for action recognition.
Comput. Vis. Image Underst., July, 2023

Video Joint Modelling Based on Hierarchical Transformer for Co-Summarization.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

An Anchor Learning Approach for Citation Field Learning.
CoRR, 2023

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models.
CoRR, 2023

A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers.
CoRR, 2023

Denoising Multi-modal Sequential Recommenders with Contrastive Learning.
CoRR, 2023

REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation.
CoRR, 2023

Recommendation with Causality enhanced Natural Language Explanations.
Proceedings of the ACM Web Conference 2023, 2023

Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Compressed Interaction Graph based Framework for Multi-behavior Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

A Bird's-eye View of Reranking: From List Level to Page Level.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

FINAL: Factorized Interaction Layer for CTR Prediction.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Data-free Knowledge Distillation for Reusing Recommendation Models.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Gradient Matching for Categorical Data Distillation in CTR Prediction.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

On-device Integrated Re-ranking with Heterogeneous Behavior Modeling.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Hierarchical Projection Enhanced Multi-behavior Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

CSGCL: Community-Strength-Enhanced Graph Contrastive Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Personalized Diversification for Neural Re-ranking in Recommendation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Multi-domain Recommendation with Embedding Disentangling and Domain Alignment.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Fair-CDA: Continuous and Directional Augmentation for Group Fairness.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Special Issue of Graph Data Management, Mining, and Applications (APWeb-WAIM 2020).
World Wide Web, 2022

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

BrePartition: Optimized High-Dimensional kNN Search With Bregman Distances.
IEEE Trans. Knowl. Data Eng., 2022

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

Video Crowd Localization With Multifocus Gaussian Neighborhood Attention and a Large-Scale Benchmark.
IEEE Trans. Image Process., 2022

Action-ViT: Pedestrian Intent Prediction in Traffic Scenes.
IEEE Signal Process. Lett., 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

Performance Analysis of OMP in Super-Resolution.
CoRR, 2022

Video Summarization Based on Video-text Modelling.
CoRR, 2022

Contrastive Learning with Positive-Negative Frame Mask for Music Representation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

BARS: Towards Open Benchmarking for Recommender Systems.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Multi-Level Interaction Reranking with User Behavior History.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Unsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

GiTS: Gist-driven Text Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2022

LordBERT: Embedding Long Text by Segment Ordering with BERT.
Proceedings of the International Joint Conference on Neural Networks, 2022

Neural Re-ranking in Multi-stage Recommender Systems: A Review.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

LCD: Adaptive Label Correction for Denoising Music Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Numerical Feature Representation with Hybrid <i>N</i>-ary Encoding.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Next-Item Recommendation With Deep Adaptable Co-Embedding Neural Networks.
IEEE Signal Process. Lett., 2021

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

Mining Express Service Innovation Opportunity From Online Reviews.
J. Organ. End User Comput., 2021

Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark.
CoRR, 2021

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

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

Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Consistent and Flexible Selectivity Estimation for High-Dimensional Data.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 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

Neural Graph Matching based Collaborative Filtering.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases intoEnd-to-End Task-Oriented Dialogue Systems.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Prototypical Representation Learning for Relation Extraction.
Proceedings of the 9th International Conference on Learning Representations, 2021

ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index.
Proceedings of the 37th IEEE International Conference on Data Engineering, 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

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

Detecting Beneficial Feature Interactions for Recommender Systems.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 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

Landmark Graph-Based Indoor Localization.
IEEE Internet Things J., 2020

Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks.
CoRR, 2020

Consistent and Flexible Selectivity Estimation for High-dimensional Data.
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

Learning Based Distributed Tracking.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

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

GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 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

Entity Extraction with Knowledge from Web Scale Corpora.
Proceedings of the Databases Theory and Applications, 2020

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

SmartVM: a SLA-aware microservice deployment framework.
World Wide Web, 2019

Protecting privacy for distance and rank based group nearest neighbor queries.
World Wide Web, 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

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

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

Sequence-Aware Recommendation with Long-Term and Short-Term Attention Memory Networks.
Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019

LambdaGAN: Generative Adversarial Nets for Recommendation Task with Lambda Strategy.
Proceedings of the International Joint Conference on Neural Networks, 2019

MMF: Attribute Interpretable Collaborative Filtering.
Proceedings of the International Joint Conference on Neural Networks, 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

Utilizing Generative Adversarial Networks for Recommendation based on Ratings and Reviews.
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

2ED: An Efficient Entity Extraction Algorithm Using Two-Level Edit-Distance.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

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

SCHONA: A Scholar Persona System Based on Academic Social Network.
Proceedings of the Human Centered Computing - 5th International Conference, 2019

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

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

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

2018
Scalable and fast SVM regression using modern hardware.
World Wide Web, 2018

HomeSeeker: A visual analytics system of real estate data.
J. Vis. Lang. Comput., 2018

Search Result Diversity Evaluation Based on Intent Hierarchies.
IEEE Trans. Knowl. Data Eng., 2018

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

Locomotion Activity Recognition Using Stacked Denoising Autoencoders.
IEEE Internet Things J., 2018

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

A Unified Processing Paradigm for Interactive Location-based Web Search.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 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

Predicting Complex Activities from Ongoing Multivariate Time Series.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Continuous Maintenance of Range Sum Heat Maps.
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

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

Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
iDistance Techniques.
Proceedings of the Encyclopedia of GIS., 2017

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

Collaborative Intent Prediction with Real-Time Contextual Data.
ACM Trans. Inf. Syst., 2017

SMARTS: Scalable Microscopic Adaptive Road Traffic Simulator.
ACM Trans. Intell. Syst. Technol., 2017

A Technical Report: Entity Extraction using Both Character-based and Token-based Similarity.
CoRR, 2017

A Simulation Study of Emergency Vehicle Prioritization in Intelligent Transportation Systems.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Accurate Recognition of the Current Activity in the Presence of Multiple Activities.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Markov Dynamic Subsequence Ensemble for Energy-Efficient Activity Recognition.
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

Implementation and Application of Open API Based on Academic Social Networking Site.
Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing, 2017

Improving Efficiency of SVM <i>k</i>-Fold Cross-Validation by Alpha Seeding.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Heads-Join: Efficient Earth Mover's Distance Similarity Joins on Hadoop.
IEEE Trans. Parallel Distributed Syst., 2016

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

<i>MARS</i>: Mobile Application Relaunching Speed-Up through Flash-Aware Page Swapping.
IEEE Trans. Computers, 2016

Improving Efficiency of SVM k-fold Cross-validation by Alpha Seeding.
CoRR, 2016

TopicResponse: A Marriage of Topic Modelling and Rasch Modelling for Automatic Measurement in MOOCs.
CoRR, 2016

Collaborative Nowcasting for Contextual Recommendation.
Proceedings of the 25th International Conference on World Wide Web, 2016

Validity: a framework for cross-disciplinary collaboration in mining indicators of learning from MOOC forums.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

Contextual Intent Tracking for Personal Assistants.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 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

Finding non-dominated paths in uncertain road networks.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

Linking News and Tweets.
Proceedings of the Databases Theory and Applications, 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

MOOCs Meet Measurement Theory: A Topic-Modelling Approach.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 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

Destination Prediction by Identifying and Clustering Prominent Features from Public Trajectory Datasets.
EAI Endorsed Trans. Scalable Inf. Syst., 2015

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

Analysis and evaluation of the top-k most influential location selection query.
Knowl. Inf. Syst., 2015

Exploiting velocity distribution skew to speed up moving object indexing.
Inf. Syst., 2015

Guest Editorial: Data Management and Analysis in Location-Based Social Networks.
Distributed Parallel Databases, 2015

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

Scalable Hypergraph Learning and Processing.
Proceedings of the 2015 IEEE International Conference on Data Mining, 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

Skyline Trips of Multiple POIs Categories.
Proceedings of the Database Systems for Advanced Applications, 2015

Identifying At-Risk Students in Massive Open Online Courses.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 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

LIMTopic: A Framework of Incorporating Link Based Importance into Topic Modeling.
IEEE Trans. Knowl. Data Eng., 2014

Traffic Information Publication with Privacy Preservation.
ACM Trans. Intell. Syst. Technol., 2014

Efficient Graph Based Approach to Large Scale Role Engineering.
Trans. Data Priv., 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

MELODY-JOIN: Efficient Earth Mover's Distance similarity joins using MapReduce.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Exploiting Transitive Similarity and Temporal Dynamics for Similarity Search in Heterogeneous Information Networks.
Proceedings of the Database Systems for Advanced Applications, 2014

Enabling Precision/Recall Preferences for Semi-supervised SVM Training.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

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

2013
Activities of ACM SIGSPATIAL Australia chapter in 2012.
ACM SIGSPATIAL Special, 2013

DesTeller: A System for Destination Prediction Based on Trajectories with Privacy Protection.
Proc. VLDB Endow., 2013

Countering overlapping rectangle privacy attack for moving kNN queries.
Inf. Syst., 2013

ComMapReduce: An improvement of MapReduce with lightweight communication mechanisms.
Data Knowl. Eng., 2013

Destination prediction by sub-trajectory synthesis and privacy protection against such prediction.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Feel Free to Check-in: Privacy Alert against Hidden Location Inference Attacks in GeoSNs.
Proceedings of the Database Systems for Advanced Applications, 2013

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

Continuous Detour Queries in Spatial Networks.
IEEE Trans. Knowl. Data Eng., 2012

Boosting Moving Object Indexing through Velocity Partitioning.
Proc. VLDB Endow., 2012

DuoWave: Mitigating the curse of dimensionality for uncertain data.
Data Knowl. Eng., 2012

Probabilistic Voronoi diagrams for probabilistic moving nearest neighbor queries.
Data Knowl. Eng., 2012

Top-k Most Incremental Location Selection with Capacity Constraint.
Proceedings of the Web-Age Information Management - 13th International Conference, 2012

RankTopic: Ranking Based Topic Modeling.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

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

An adaptive algorithm for online time series segmentation with error bound guarantee.
Proceedings of the 15th International Conference on Extending Database Technology, 2012

Location selection for utility maximization with capacity constraints.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Clustering Web video search results based on integration of multiple features.
World Wide Web, 2011

A MovingObject Index for Efficient Query Processing with Peer-Wise Location Privacy.
Proc. VLDB Endow., 2011

Privacy Preserving Moving KNN Queries
CoRR, 2011

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

Accelerating Spatial Join Operations using Bit-Indices.
Proceedings of the Twenty-Second Australasian Database Conference, 2011

Processing Spatio-Temporal Queries in a Streaming Fashion.
Proceedings of the Twenty-Second Australasian Database Conference, 2011

2010
Analysis and evaluation of V*-<i>k</i>NN: an efficient algorithm for moving <i>k</i>NN queries.
VLDB J., 2010

A motion-aware approach for efficient evaluation of continuous queries on 3D object databases.
VLDB J., 2010

Streaming multiple aggregations using phantoms.
VLDB J., 2010

Incremental Evaluation of Visible Nearest Neighbor Queries.
IEEE Trans. Knowl. Data Eng., 2010

The HV-tree: a Memory Hierarchy Aware Version Index.
Proc. VLDB Endow., 2010

Dominating sets in directed graphs.
Inf. Sci., 2010

Optimized algorithms for predictive range and KNN queries on moving objects.
Inf. Syst., 2010

Enhancing the B<sup>+</sup>-tree by dynamic node popularity caching.
Inf. Process. Lett., 2010

High-dimensional kNN joins with incremental updates.
GeoInformatica, 2010

Mining distribution change in stock order streams.
Proceedings of the 26th International Conference on Data Engineering, 2010

Privacy preserving group nearest neighbor queries.
Proceedings of the EDBT 2010, 2010

Graph based strategies to role engineering.
Proceedings of the 6th Cyber Security and Information Intelligence Research Workshop, 2010

Recursive partitioning method for trajectory indexing.
Proceedings of the Database Technologies 2010, 2010

2009
Parametric Data Reduction Techniques.
Proceedings of the Encyclopedia of Database Systems, 2009

Nonparametric Data Reduction Techniques.
Proceedings of the Encyclopedia of Database Systems, 2009

Data Reduction.
Proceedings of the Encyclopedia of Database Systems, 2009

Spatio-temporal database research at the University of Melbourne.
SIGMOD Rec., 2009

V*-kNN: An Efficient Algorithm for Moving k Nearest Neighbor Queries.
Proceedings of the 25th International Conference on Data Engineering, 2009

RoleVAT: Visual Assessment of Practical Need for Role Based Access Control.
Proceedings of the Twenty-Fifth Annual Computer Security Applications Conference, 2009

2008
iDistance Techniques.
Proceedings of the Encyclopedia of GIS., 2008

The V*-Diagram: a query-dependent approach to moving KNN queries.
Proc. VLDB Endow., 2008

Transaction time indexing with version compression.
Proc. VLDB Endow., 2008

Continuous Intersection Joins Over Moving Objects.
Proceedings of the 24th International Conference on Data Engineering, 2008

A Motion-Aware Approach to Continuous Retrieval of 3D Objects.
Proceedings of the 24th International Conference on Data Engineering, 2008

Load Balancing for Moving Object Management in a P2P Network.
Proceedings of the Database Systems for Advanced Applications, 2008

2007
Visible Nearest Neighbor Queries.
Proceedings of the Advances in Databases: Concepts, 2007

2006
Indexing Fast Moving Objects for kNN Queries Based on Nearest Landmarks.
GeoInformatica, 2006

Similarity Search: A Matching Based Approach.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Effective Density Queries on ContinuouslyMoving Objects.
Proceedings of the 22nd International Conference on Data Engineering, 2006

2005
Generalized multidimensional data mapping and query processing.
ACM Trans. Database Syst., 2005

iDistance: An adaptive B<sup>+</sup>-tree based indexing method for nearest neighbor search.
ACM Trans. Database Syst., 2005

Multiple Aggregations Over Data Streams.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

2004
Approximate NN queries on Streams with Guaranteed Error/performance Bounds.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

Making the Pyramid Technique Robust to Query Types and Workloads.
Proceedings of the 20th International Conference on Data Engineering, 2004


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