Xue Li

Orcid: 0000-0002-4515-6792

Affiliations:
  • University of Queensland, Brisbane, Australia


According to our database1, Xue Li authored at least 250 papers between 2003 and 2024.

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Bibliography

2024
Disentanglement then reconstruction: Unsupervised domain adaptation by twice distribution alignments.
Expert Syst. Appl., March, 2024

Adaptive class augmented prototype network for few-shot relation extraction.
Neural Networks, January, 2024

CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs.
Proceedings of the Advances in Information Retrieval, 2024

2023
GS-InGAT: An interaction graph attention network with global semantic for knowledge graph completion.
Expert Syst. Appl., October, 2023

360° Image Saliency Prediction by Embedding Self-Supervised Proxy Task.
IEEE Trans. Broadcast., September, 2023

Dual-core mutual learning between scoring systems and clinical features for ICU mortality prediction.
Inf. Sci., August, 2023

MTED: multiple teachers ensemble distillation for compact semantic segmentation.
Neural Comput. Appl., June, 2023

Multi-view knowledge distillation for efficient semantic segmentation.
J. Real Time Image Process., April, 2023

OVQE: Omniscient Network for Compressed Video Quality Enhancement.
IEEE Trans. Broadcast., March, 2023

Channel Correlation Distillation for Compact Semantic Segmentation.
Int. J. Pattern Recognit. Artif. Intell., March, 2023

Artificial Intelligence in Evidence-based Medicine: Challenges and Opportunities.
World Sci. Annu. Rev. Artif. Intell., 2023

Spatio-Temporal Detail Information Retrieval for Compressed Video Quality Enhancement.
IEEE Trans. Multim., 2023

Preserving Privacy for Distributed Genome-Wide Analysis Against Identity Tracing Attacks.
IEEE Trans. Dependable Secur. Comput., 2023

Multi-Frame Compressed Video Quality Enhancement by Spatio-Temporal Information Balance.
IEEE Signal Process. Lett., 2023

Object Detection Difficulty: Suppressing Over-aggregation for Faster and Better Video Object Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Joint Learning-based Multiple Documents Heterogeneous Graph Inference for Biomedical Entity Linking.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Context-Based Masking for Spontaneous Venous Pulsations Detection.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022
Social Boosted Recommendation With Folded Bipartite Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Coarse-to-Fine Spatio-Temporal Information Fusion for Compressed Video Quality Enhancement.
IEEE Signal Process. Lett., 2022

Self-Alignment for Black-Box Domain Adaptation of Image Classification.
IEEE Signal Process. Lett., 2022

Suicidal ideation and mental disorder detection with attentive relation networks.
Neural Comput. Appl., 2022

Heterogenous affinity graph inference network for document-level relation extraction.
Knowl. Based Syst., 2022

Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning.
IEEE Intell. Syst., 2022

KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Content Adaptive Compressed Screen Content Video Quality Enhancement.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Fast Spectral Clustering of Multi-Relational Data.
Proceedings of the 5th IEEE International Conference on Information Systems and Computer Aided Education, 2022

Integrating Dependency Tree into Self-Attention for Sentence Representation.
Proceedings of the IEEE International Conference on Acoustics, 2022

Causality Discovery Based on Combined Causes and Multiple Causes in Drug-Drug Interaction.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

2021
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications.
IEEE Trans. Comput. Soc. Syst., 2021

Bidirectional generative transductive zero-shot learning.
Neural Comput. Appl., 2021

Deep dynamic imputation of clinical time series for mortality prediction.
Inf. Sci., 2021

Learning various length dependence by dual recurrent neural networks.
Neurocomputing, 2021

Source data-free domain adaptation of object detector through domain-specific perturbation.
Int. J. Intell. Syst., 2021

Differentially Private Collaborative Coupling Learning for Recommender Systems.
IEEE Intell. Syst., 2021

Alignment-Free Video Compression Artifact Reduction.
Proceedings of the International Conference on Visual Communications and Image Processing, 2021

Source-Style Transferred Mean Teacher for Source-data Free Object Detection.
Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Privacy-Preserving Gradient Descent for Distributed Genome-Wide Analysis.
Proceedings of the Computer Security - ESORICS 2021, 2021

Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Editorial for application-driven knowledge acquisition.
World Wide Web, 2020

A Time-Critical Topic Model for Predicting the Survival Time of Sepsis Patients.
Sci. Program., 2020

Optimizing streaming graph partitioning via a heuristic greedy method and caching strategy.
Optim. Methods Softw., 2020

Online sales prediction via trend alignment-based multitask recurrent neural networks.
Knowl. Inf. Syst., 2020

A unified model for recommendation with selective neighborhood modeling.
Inf. Process. Manag., 2020

Joint Personalized Markov Chains with social network embedding for cold-start recommendation.
Neurocomputing, 2020

A Unified Model for Recommendation with Selective Neighborhood Modeling.
CoRR, 2020

Disentanglement Then Reconstruction: Learning Compact Features for Unsupervised Domain Adaptation.
CoRR, 2020

Temporal tree representation for similarity computation between medical patients.
Artif. Intell. Medicine, 2020

IDDSAM: An Integrated Disease Diagnosis and Severity Assessment Model for Intensive Care Units.
IEEE Access, 2020

Sequence-Aware Factorization Machines for Temporal Predictive Analytics.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

PrivColl: Practical Privacy-Preserving Collaborative Machine Learning.
Proceedings of the Computer Security - ESORICS 2020, 2020

Adaptive Two-Dimensional Embedded Image Clustering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification.
IEEE Trans. Multim., 2019

Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition.
IEEE Trans. Cybern., 2019

Adaptive recognition of different accents conversations based on convolutional neural network.
Multim. Tools Appl., 2019

A survey of sentiment analysis in social media.
Knowl. Inf. Syst., 2019

Real-time multi-class object detection using two-dimensional index.
J. Real Time Image Process., 2019

Modelling user attitudes using hierarchical sentiment-topic model.
Data Knowl. Eng., 2019

MMM: Multi-source Multi-net Micro-video Recommendation with Clustered Hidden Item Representation Learning.
Data Sci. Eng., 2019

Decentralized Learning with Average Difference Aggregation for Proactive Online Social Care.
CoRR, 2019

Enabling Privacy-Preserving Sharing of Genomic Data for GWASs in Decentralized Networks.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Identification of Functional Connectivity Features in Depression Subtypes Using a Data-Driven Approach.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

Learning Private Neural Language Modeling with Attentive Aggregation.
Proceedings of the International Joint Conference on Neural Networks, 2019

AIR: Attentional Intention-Aware Recommender Systems.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Exploiting Centrality Information with Graph Convolutions for Network Representation Learning.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

DBRec: Dual-Bridging Recommendation via Discovering Latent Groups.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Personalised Medicine in Critical Care Using Bayesian Reinforcement Learning.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

Causality Discovery with Domain Knowledge for Drug-Drug Interactions Discovery.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

RecKGC: Integrating Recommendation with Knowledge Graph Completion.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

2018
Collaborative text categorization via exploiting sparse coefficients.
World Wide Web, 2018

Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength.
IEEE Trans. Mob. Comput., 2018

A Multiview Learning Framework With a Linear Computational Cost.
IEEE Trans. Cybern., 2018

What-and-where to match: Deep spatially multiplicative integration networks for person re-identification.
Pattern Recognit., 2018

Deep adaptive feature embedding with local sample distributions for person re-identification.
Pattern Recognit., 2018

Answering why-not questions on semantic multimedia queries.
Multim. Tools Appl., 2018

LGA: latent genre aware micro-video recommendation on social media.
Multim. Tools Appl., 2018

Device-free human localization and tracking with UHF passive RFID tags: A data-driven approach.
J. Netw. Comput. Appl., 2018

GRIP: A Group Recommender Based on Interactive Preference Model.
J. Comput. Sci. Technol., 2018

Social event detection with retweeting behavior correlation.
Expert Syst. Appl., 2018

Structured deep hashing with convolutional neural networks for fast person re-identification.
Comput. Vis. Image Underst., 2018

Bio-inspired learning approach for electronic nose.
Computing, 2018

Learning Concept Hierarchy from Short Texts Using Context Coherence.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

EEG-based Motion Intention Recognition via Multi-task RNNs.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Automated Explanations of User-Expected Trends for Aggregate Queries.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Interesting Recommendations Based on Hierarchical Visualizations of Medical Data.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

Rumor Detection via Recurrent Neural Networks: A Case Study on Adaptivity with Varied Data Compositions.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

Similarity Computing on Electronic Health Records.
Proceedings of the 22nd Pacific Asia Conference on Information Systems, 2018

PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Treatment Recommendation in Critical Care: A Scalable and Interpretable Approach in Partially Observable Health States.
Proceedings of the International Conference on Information Systems, 2018

TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018

Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit.
Proceedings of the IEEE International Conference on Data Mining, 2018

Vertical and Sequential Sentiment Analysis of Micro-blog Topic.
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

Feature Extraction for Smart Sensing Using Multi-perspectives Transformation.
Proceedings of the Databases Theory and Applications, 2018

2017
Learning Multiple Diagnosis Codes for ICU Patients with Local Disease Correlation Mining.
ACM Trans. Knowl. Discov. Data, 2017

Unveiling Correlations via Mining Human-Thing Interactions in the Web of Things.
ACM Trans. Intell. Syst. Technol., 2017

Fast distant support vector data description.
Memetic Comput., 2017

Constrained recommendations for query visualizations.
Knowl. Inf. Syst., 2017

Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection.
CoRR, 2017

People Opinion Topic Model: Opinion based User Clustering in Social Networks.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking.
Proceedings of the Semantic Web - ISWC 2017, 2017

A Combined Feature Approach for Speaker Segmentation Using Convolution Neural Network.
Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

Streaming Graph Partitioning for Large Graphs with Limited Memory.
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

Recovering Missing Values from Corrupted Spatio-Temporal Sensory Data via Robust Low-Rank Tensor Completion.
Proceedings of the Database Systems for Advanced Applications, 2017

Group Recommender Model Based on Preference Interaction.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection of Social Disadvantage.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

Predicting Clinical Outcomes of Alzheimer's Disease from Complex Brain Networks.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

Structured Sentiment Analysis.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

Building Entity Graphs for the Web of Things Management.
Proceedings of the Managing the Web of Things: Linking the Real World to the Web, 2017

2016
Multi-label classification via learning a unified object-label graph with sparse representation.
World Wide Web, 2016

Compact representation for large-scale unconstrained video analysis.
World Wide Web, 2016

Things of Interest Recommendation by Leveraging Heterogeneous Relations in the Internet of Things.
ACM Trans. Internet Techn., 2016

Diagnosis Code Assignment Using Sparsity-Based Disease Correlation Embedding.
IEEE Trans. Knowl. Data Eng., 2016

Mining Health Examination Records - A Graph-Based Approach.
IEEE Trans. Knowl. Data Eng., 2016

Multi-task support vector machines for feature selection with shared knowledge discovery.
Signal Process., 2016

Guest editorial: web of things.
Inf. Syst. Frontiers, 2016

Personal health indexing based on medical examinations: A data mining approach.
Decis. Support Syst., 2016

Uncovering Locally Discriminative Structure for Feature Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Classification with Quantification for Air Quality Monitoring.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Advancing public health genomics.
Proceedings of the International Workshop on Big Data and Information Security, 2016

Learning from less for better: semi-supervised activity recognition via shared structure discovery.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Empowering Truth Discovery with Multi-Truth Prediction.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Truth Discovery via Exploiting Implications from Multi-Source Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

When Sensor Meets Tensor: Filling Missing Sensor Values Through a Tensor Approach.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Forecasting Seasonal Time Series Using Weighted Gradient RBF Network based Autoregressive Model.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Classification Based on Compressive Multivariate Time Series.
Proceedings of the Databases Theory and Applications, 2016

2015
Emerging event detection in social networks with location sensitivity.
World Wide Web, 2015

Unveiling Contextual Similarity of Things via Mining Human-Thing Interactions in the Internet of Things.
CoRR, 2015

RF-Care: Device-Free Posture Recognition for Elderly People Using A Passive RFID Tag Array.
EAI Endorsed Trans. Ambient Syst., 2015

Unsupervised Feature Analysis with Class Margin Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags.
Proceedings of the 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2015

Unobtrusive Posture Recognition via Online Learning of Multi-dimensional RFID Received Signal Strength.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

Freedom: Online Activity Recognition via Dictionary-Based Sparse Representation of RFID Sensing Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Invariant Event Tracking on Social Networks.
Proceedings of the Database Systems for Advanced Applications, 2015

An Integrated Bayesian Approach for Effective Multi-Truth Discovery.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Approximate Truth Discovery via Problem Scale Reduction.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Detecting cyberbullying in social networks using multi-agent system.
Web Intell. Agent Syst., 2014

Structured Streaming Skeleton - A New Feature for Online Human Gesture Recognition.
ACM Trans. Multim. Comput. Commun. Appl., 2014

Semi-Supervised Multiple Feature Analysis for Action Recognition.
IEEE Trans. Multim., 2014

Privacy Preservation for Associative Classification.
Comput. Intell., 2014

An effective approach to offline Arabic handwriting recognition.
Comput. Electr. Eng., 2014

Predicting Elections from Social Networks Based on Sub-event Detection and Sentiment Analysis.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Exploring recommendations in internet of things.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Real Time Unobtrusive Human Behaviours Recognition.
Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, 2014

Semi-supervised Feature Analysis for Multimedia Annotation by Mining Label Correlation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

TagTrack: device-free localization and tracking using passive RFID tags.
Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, 2014

Dynamic Background Learning through Deep Auto-encoder Networks.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Mining Personal Health Index from Annual Geriatric Medical Examinations.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Exploring Tag-Free RFID-Based Passive Localization and Tracking via Learning-Based Probabilistic Approaches.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Semi-supervised Learning for Cyberbullying Detection in Social Networks.
Proceedings of the Databases Theory and Applications, 2014

An Effective Approach to Handling Noise and Drift in Electronic Noses.
Proceedings of the Databases Theory and Applications, 2014

2013
Learning from data streams with only positive and unlabeled data.
J. Intell. Inf. Syst., 2013

Human action recognition based on semi-supervised discriminant analysis with global constraint.
Neurocomputing, 2013

Context-aware web services for security control and privacy preservation in an RFID supply chain.
Int. J. Inf. Technol. Manag., 2013

Incremental processing and indexing for (k, e)-anonymisation.
Int. J. Inf. Comput. Secur., 2013

Automated discovery of multi-faceted ontologies for accurate query answering and future semantic reasoning.
Data Knowl. Eng., 2013

Clothing-to-words mapping using word separation method.
Comput. Electr. Eng., 2013

Rapid vehicle logo region detection based on information theory.
Comput. Electr. Eng., 2013

Feature Extraction from Micro-blogs for Comparison of Products and Services.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

RNRank: Network-Based Ranking on Relational Tuples.
Proceedings of the Behavior and Social Computing, 2013

Online human gesture recognition from motion data streams.
Proceedings of the ACM Multimedia Conference, 2013

Fall detection in multi-camera surveillance videos: experimentations and observations.
Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare, 2013

A Model for Discovering Correlations of Ubiquitous Things.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Online Action Recognition by Template Matching.
Proceedings of the Health Information Science - Second International Conference, 2013

Location-Based Emerging Event Detection in Social Networks.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

MedRank: Discovering Influential Medical Treatments from Literature by Information Network Analysis.
Proceedings of the Twenty-Fourth Australasian Database Conference, 2013

2012
Abnormal crowd behavior detection using high-frequency and spatio-temporal features.
Mach. Vis. Appl., 2012

Dynamic classifier ensemble for positive unlabeled text stream classification.
Knowl. Inf. Syst., 2012

Introducing Cloud Computing Topics in Curricula.
J. Inf. Syst. Educ., 2012

Learning naive Bayes classifiers from positive and unlabelled examples with uncertainty.
Int. J. Syst. Sci., 2012

On the Prediction of Re-tweeting Activities in Social Networks - A Report on WISE 2012 Challenge.
Proceedings of the Web Information Systems Engineering - WISE 2012, 2012

Context Sensitive Tag Expansion with Information Inference.
Proceedings of the Database Systems for Advanced Applications, 2012

Action recognition by exploring data distribution and feature correlation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Sentiment Analysis for Effective Detection of Cyber Bullying.
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012

2011
Toward a semantic granularity model for domain-specific information retrieval.
ACM Trans. Inf. Syst., 2011

Best papers from the Fifth International Conference on Advanced Data Mining and Applications (ADMA 2009).
Knowl. Inf. Syst., 2011

TMS-RFID: Temporal management of large-scale RFID applications.
Inf. Syst. Frontiers, 2011

Security and privacy protection in RFID-enabled supply chain management.
Int. J. Radio Freq. Identif. Technol. Appl., 2011

Associative classification rules hiding for privacy preservation.
Int. J. Intell. Inf. Database Syst., 2011

Classifying text streams by keywords using classifier ensemble.
Data Knowl. Eng., 2011

Bayesian Classifiers for Positive Unlabeled Learning.
Proceedings of the Web-Age Information Management - 12th International Conference, 2011

Approximate Record Matching Using Hash Grams.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Ontology Guided Data Linkage Framework for Discovering Meaningful Data Facts.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010
Trust in RFID-enabled Supply-Chain Management.
Int. J. Secur. Networks, 2010

Unified collaborative filtering model based on combination of latent features.
Expert Syst. Appl., 2010

Associative Classifier for Uncertain Data.
Proceedings of the Web-Age Information Management, 11th International Conference, 2010

Naive Bayes Classifier for Positive Unlabeled Learning with Uncertainty.
Proceedings of the SIAM International Conference on Data Mining, 2010

Classifier Ensemble for Uncertain Data Stream Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

A Novel Chinese Text Feature Selection Method Based on Probability Latent Semantic Analysis.
Proceedings of the Advances in Neural Networks, 2010

On Improving Learning Outcomes Through Sharing of Learning Experiences.
Proceedings of the ICALT 2010, 2010

2009
K-Means and K-Medoids.
Proceedings of the Encyclopedia of Database Systems, 2009

Database Clustering Methods.
Proceedings of the Encyclopedia of Database Systems, 2009

Instance optimal query processing in spatial networks.
VLDB J., 2009

Ambiguous decision trees for mining concept-drifting data streams.
Pattern Recognit. Lett., 2009

RFID Infrastructure Design: A Case Study of Two Australian RFID Projects.
IEEE Internet Comput., 2009

Projected outlier detection in high-dimensional mixed-attributes data set.
Expert Syst. Appl., 2009

Computational Model for Trust Management in RFID Supply Chains.
Proceedings of the IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, 2009

OcVFDT: one-class very fast decision tree for one-class classification of data streams.
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009

Dimension-Specific Search for Multimedia Retrieval.
Proceedings of the Database Systems for Advanced Applications, 2009

Ranking-Constrained Keyword Sequence Extraction from Web Documents.
Proceedings of the Database Technologies 2009, 2009

2008
Moving Block Sequence and Organizational Evolutionary Algorithm for General Floorplanning With Arbitrarily Shaped Rectilinear Blocks.
IEEE Trans. Evol. Comput., 2008

Enabling Next-Generation RFID Applications: Solutions and Challenges.
Computer, 2008

A Heuristic Data Reduction Approach for Associative Classification Rule Hiding.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

An Intrinsic Subsequence Decomposition Algorithm for Network Intrusion Detection.
Proceedings of the Fourth International Conference on Natural Computation, 2008

One-Class Classification of Text Streams with Concept Drift.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Data Quality in Privacy Preservation for Associative Classification.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

Graph Mining based on a Data Partitioning Approach.
Proceedings of the Database Technologies 2008. Proceedings of the Nineteenth Australasian Database Conference, 2008

Data Reduction Approach for Sensitive Association Classification Rule Hiding.
Proceedings of the Database Technologies 2008. Proceedings of the Nineteenth Australasian Database Conference, 2008

2007
An Efficient Measure of Signal Temporal Predictability for Blind Source Separation.
Neural Process. Lett., 2007

Design a Knowledge-Based System to Automatically Assess Commercial Websites.
Int. J. Inf. Technol. Decis. Mak., 2007

An improved Naive Bayesian classifier with advanced discretisation method.
Int. J. Intell. Syst. Technol. Appl., 2007

Collaborative filtering on streaming data with interest-drifting.
Intell. Data Anal., 2007

A Recommender System with Interest-Drifting.
Proceedings of the Web Information Systems Engineering, 2007

Online Rare Events Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Discovering Correlated Items in Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Blind Separation of Positive Signals by Using Genetic Algorithm.
Proceedings of the Advances in Neural Networks, 2007

Supervised Dimensionality Reduction on Streaming Data.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006
A Class of Self-Stabilizing MCA Learning Algorithms.
IEEE Trans. Neural Networks, 2006

Can exclusive clustering on streaming data be achieved?
SIGKDD Explor., 2006

Categorizing web features and functions to evaluate commercial web sites: An assessment framework and an empirical investigation of Australian companies.
Ind. Manag. Data Syst., 2006

Special issue on advances in data mining and its applications.
Int. J. Syst. Sci., 2006

Fitness assessment of document model.
Int. J. Syst. Sci., 2006

Incremental Learning for Interactive E-Mail Filtering.
Int. J. Inf. Technol. Web Eng., 2006

Convergence Analysis of a Discrete-Time Single-Unit Gradient ICA Algorithm.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A Neural Network based Technique for Automatic Classification of Road Cracks.
Proceedings of the International Joint Conference on Neural Networks, 2006

Concept-based document readability in domain specific information retrieval.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

Document generality: its computation for ranking.
Proceedings of the Database Technologies 2006, 2006

A reconstruction-based algorithm for classification rules hiding.
Proceedings of the Database Technologies 2006, 2006

Recency-based collaborative filtering.
Proceedings of the Database Technologies 2006, 2006

2005
Document Re-ranking by Generality in Bio-medical Information Retrieval.
Proceedings of the Web Information Systems Engineering, 2005

Collaborative Filtering on Data Streams.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Finding Temporal Features of Event-Oriented Patterns.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Direct Fingerprinting on Multicasting Compressed Video.
Proceedings of the 11th International Conference on Multi Media Modeling (MMM 2005), 2005

Efficient Spatial Clustering Algorithm Using Binary Tree.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

Hiding Classification Rules for Data Sharing with Privacy Preservation.
Proceedings of the Data Warehousing and Knowledge Discovery, 2005

Effectiveness of Document Representation for Classification.
Proceedings of the Data Warehousing and Knowledge Discovery, 2005

Time weight collaborative filtering.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

Determining the Fitness of a Document Model by Using Conflict Instances.
Proceedings of the Database Technologies 2005, 2005

2004
A Lightweight Encryption Algorithm for Mobile Online Multimedia Devices.
Proceedings of the Web Information Systems, 2004

PLD: A Distillation Algorithm for Misclassified Documents.
Proceedings of the Advances in Web-Age Information Management: 5th International Conference, 2004

Finding Negative Event-Oriented Patterns in Long Temporal Sequences.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Multimedia authentication with sensor-based watermarking.
Proceedings of the 6th workshop on Multimedia & Security, 2004

Motion Vector Encryption in Multimedia Streaming.
Proceedings of the 10th International Multimedia Modeling Conference (MMM 2004), 2004

Enhancing security of frequency domain video encryption.
Proceedings of the 12th ACM International Conference on Multimedia, 2004

A sensor-based multimedia authentication system.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

A Correlation Analysis on LSA and HAL Semantic Space Models.
Proceedings of the Computational and Information Science, First International Symposium, 2004

Knowledge Maintenance on Data Streams with Concept Drifting.
Proceedings of the Computational and Information Science, First International Symposium, 2004

Reflective Web Interface Agent.
Proceedings of the Advanced Web Technologies and Applications, 2004

2003
Fuzzy Logic in Web Data Mining for Website Assessment.
Int. J. Comput. Intell. Appl., 2003

Introducing Uncertainty into Pattern Discovery in Temporal Event Sequences.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Web Wrapper Validation.
Proceedings of the Web Technologies and Applications, 5th Asian-Pacific Web Conference, 2003


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