Ji Zhang

Orcid: 0000-0001-7167-6970

Affiliations:
  • University of Southern Queensland, Faculty of Health Engineering and Sciences, Toowoomba, Australia
  • Dalhousie University, Halifax, NS, Canada (PhD 2008)


According to our database1, Ji Zhang authored at least 234 papers between 2003 and 2025.

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Bibliography

2025
Exploiting optimized forgery representation space for general fake face detection.
Pattern Anal. Appl., March, 2025

LVAST: a lightweight vision transformer for effective arbitrary style transfer.
J. Supercomput., January, 2025

Enhancing learning process modeling for session-aware knowledge tracing.
Knowl. Based Syst., 2025

2024
Toward Learning Joint Inference Tasks for IASS-MTS Using Dual Attention Memory With Stochastic Generative Imputation.
IEEE Trans. Neural Networks Learn. Syst., December, 2024

Class-Level Logit Perturbation.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks.
ACM Trans. Knowl. Discov. Data, September, 2024

Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection.
ACM Trans. Knowl. Discov. Data, September, 2024

ConIS: controllable text-driven image stylization with semantic intensity.
Multim. Syst., August, 2024

Penalized Flow Hypergraph Local Clustering.
IEEE Trans. Knowl. Data Eng., May, 2024

Discriminative boundary generation for effective outlier detection.
Knowl. Inf. Syst., May, 2024

Incremental Maximal Clique Enumeration for Hybrid Edge Changes in Large Dynamic Graphs.
IEEE Trans. Knowl. Data Eng., April, 2024

Pyramid style-attentional network for arbitrary style transfer.
Multim. Tools Appl., February, 2024

A graph-powered large-scale fraud detection system.
Int. J. Mach. Learn. Cybern., January, 2024

Movie recommendation and classification system using block chain.
Web Intell., 2024

CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection.
IEEE Trans. Emerg. Top. Comput., 2024

Generous teacher: Good at distilling knowledge for student learning.
Image Vis. Comput., 2024

A Blockchain-Based Trustworthy Access Control Scheme for Medical Data Sharing.
IET Inf. Secur., 2024

Accelerating Maximal Bicliques Enumeration with GPU on large scale network.
Future Gener. Comput. Syst., 2024

Equivariant Diffusion-Based Sequential Hypergraph Neural Networks with Co-attention Fusion for Information Diffusion Prediction.
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

A Novel Multi-scale Spatiotemporal Graph Neural Network for Epidemic Prediction.
Proceedings of the Database and Expert Systems Applications, 2024

Preference Prototype-Aware Learning for Universal Cross-Domain Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Sentiment Analysis for Detection of Depressive Users on Social Networks.
Proceedings of the 11th International Conference on Behavioural and Social Computing, 2024

2023
DeepSafety: a deep neural network-based edge computing framework for detecting unsafe behaviors of construction workers.
J. Ambient Intell. Humaniz. Comput., December, 2023

Interrelated feature selection from health surveys using domain knowledge graph.
Health Inf. Sci. Syst., December, 2023

Video face forgery detection via facial motion-assisted capturing dense optical flow truncation.
Vis. Comput., November, 2023

RSFace: subject agnostic face swapping with expression high fidelity.
Vis. Comput., November, 2023

GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing.
ACM Trans. Archit. Code Optim., September, 2023

High-Order Correlation-Guided Slide-Level Histology Retrieval With Self-Supervised Hashing.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

FDS_2D: rethinking magnitude-phase features for DeepFake detection.
Multim. Syst., August, 2023

A fast approximate method for <i>k</i>-edge connected component detection in graphs with high accuracy.
Inf. Sci., July, 2023

Towards Cross-Lingual Multi-Modal Misinformation Detection for E-Commerce Management.
IEEE Trans. Netw. Serv. Manag., June, 2023

EGraph: Efficient Concurrent GPU-Based Dynamic Graph Processing.
IEEE Trans. Knowl. Data Eng., June, 2023

SAGES: Scalable Attributed Graph Embedding With Sampling for Unsupervised Learning.
IEEE Trans. Knowl. Data Eng., May, 2023

JointContrast: Skeleton-Based Interaction Recognition with New Representation and Contrastive Learning.
Algorithms, April, 2023

Facial depth forgery detection based on image gradient.
Multim. Tools Appl., 2023

Exploring developments of the AI field from the perspective of methods, datasets, and metrics.
Inf. Process. Manag., 2023

Irregularly Sampled Multivariate Time Series Classification: A Graph Learning Approach.
IEEE Intell. Syst., 2023

Mining Periodic-Frequent Patterns in Irregular Dense Temporal Databases Using Set Complements.
IEEE Access, 2023

The Impact on Employability by COVID-19 Pandemic - AI Case Studies.
Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

AutoBloom: AI-Based Classification of Cognitive Levels in Educational Content.
Proceedings of the IEEE International Conference on Web Intelligence and Intelligent Agent Technology, 2023

Efficient Cross Dynamic Task Assignment in Spatial Crowdsourcing.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Knowledge-Based Nonlinear to Linear Dataset Transformation for Chronic Illness Classification.
Proceedings of the Health Information Science - 12th International Conference, 2023

An Efficient Embedding Framework for Uncertain Attribute Graph.
Proceedings of the Database and Expert Systems Applications, 2023

CoSaR: Combating Label Noise Using Collaborative Sample Selection and Adversarial Regularization.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Dataset for Entity Recognition of COVID-19 Public Opinion in Social Media.
Proceedings of the 10th International Conference on Behavioural and Social Computing, 2023

EventsVista: Enhancing Event Visualization and Interpretation.
Proceedings of the 10th International Conference on Behavioural and Social Computing, 2023

Anomaly Detection in Battery Charging Systems: A Deep Sequence Model Approach.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

GPU-Accelerated Maximal Bicliques Mining Framework for Large E-commerce Networks.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022
A Survey on Contact Tracing: The Latest Advancements and Challenges.
ACM Trans. Spatial Algorithms Syst., June, 2022

OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining.
ACM Trans. Manag. Inf. Syst., 2022

Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes.
IEEE Trans. Intell. Transp. Syst., 2022

Graph-based multi-label disease prediction model learning from medical data and domain knowledge.
Knowl. Based Syst., 2022

Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention.
Knowl. Based Syst., 2022

Distributed Tip Decomposition on Large Bipartite Graphs.
Int. J. Softw. Informatics, 2022

Sparse-Dyn: Sparse dynamic graph multirepresentation learning via event-based sparse temporal attention network.
Int. J. Intell. Syst., 2022

Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification.
Int. J. Intell. Syst., 2022

Intelligent Computing: The Latest Advances, Challenges and Future.
CoRR, 2022

Learning discriminative representation with global and fine-grained features for cross-view gait recognition.
CAAI Trans. Intell. Technol., 2022

An Auto-Encoder with Genetic Algorithm for High Dimensional Data: Towards Accurate and Interpretable Outlier Detection.
Algorithms, 2022

SFIOT: Software-Defined Function for the IoT.
Proceedings of the 23rd IEEE International Symposium on a World of Wireless, 2022

JointContrast: Skeleton-Based Mutual Action Recognition with Contrastive Learning.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

A Generative Adversarial Active Learning Method for Effective Outlier Detection.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Automated Knowledge Graph Construction for Healthcare Domain.
Proceedings of the Health Information Science - 11th International Conference, 2022

Towards Efficient Discovery of Periodic-Frequent Patterns in Dense Temporal Databases Using Complements.
Proceedings of the Database and Expert Systems Applications, 2022

Effective and Robust Boundary-Based Outlier Detection Using Generative Adversarial Networks.
Proceedings of the Database and Expert Systems Applications, 2022

Skeleton-Based Mutual Action Recognition Using Interactive Skeleton Graph and Joint Attention.
Proceedings of the Database and Expert Systems Applications, 2022

Decentralized Blockchain Network.
Proceedings of the Tenth International Conference on Advanced Cloud and Big Data, 2022

Knowledge Tracing Based on Gated Heterogeneous Graph Convolutional Networks.
Proceedings of the IEEE International Conference on Big Data, 2022

IDGMS: a One-Stop Graph Mining System for Infectious Diseases.
Proceedings of the IEEE International Conference on Big Data, 2022

Debiased Learning of Self-Labeled Twitter Data for User Demographic Prediction.
Proceedings of the IEEE International Conference on Big Data, 2022

Fast Fourier Transform and Ensemble Model to Classify Epileptic EEG Signals.
Proceedings of the IEEE International Conference on Big Data, 2022

A Parallel Framework for Streaming Graphs Computing.
Proceedings of the IEEE International Conference on Big Data, 2022

A Secured Movie Recommendation System using Decentralized Blockchain Network.
Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

Hierarchical Aggregation Based Knowledge Graph Embedding for Multi-task Recommendation.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

Hyperspectral Anomaly Detection based on Autoencoder using Superpixel Manifold Constraint.
Proceedings of the 5th International Conference on Artificial Intelligence and Pattern Recognition, 2022

A Deep Learning Framework for Removing Bias from Single-Photon Emission Computerized Tomography.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

Event Detection from Web Data in Chinese Based on Bi-LSTM with Attention.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

Logit Perturbation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
TARA-Net: A Fusion Network for Detecting Takeaway Rider Accidents.
ACM Trans. Intell. Syst. Technol., 2021

A Hierarchical Approach for Advanced Persistent Threat Detection with Attention-Based Graph Neural Networks.
Secur. Commun. Networks, 2021

ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network.
Proc. VLDB Endow., 2021

Generating adversarial examples without specifying a target model.
PeerJ Comput. Sci., 2021

A subgraph-based knowledge reasoning method for collective fraud detection in E-commerce.
Neurocomputing, 2021

Mobile-based learning of drug prescription for medical education using artificial intelligence techniques.
Int. J. Mob. Learn. Organisation, 2021

A Generic Knowledge Based Medical Diagnosis Expert System.
CoRR, 2021

LSTM Based Sentiment Analysis for Cryptocurrency Prediction.
CoRR, 2021

EMM-CLODS: An Effective Microcluster and Minimal Pruning CLustering-Based Technique for Detecting Outliers in Data Streams.
Complex., 2021

Locally differentially private distributed algorithms for set intersection and union.
Sci. China Inf. Sci., 2021

What Happens Behind the Scene? Towards Fraud Community Detection in E-Commerce from Online to Offline.
Proceedings of the Companion of The Web Conference 2021, 2021

ATJ-Net: Auto-Table-Join Network for Automatic Learning on Relational Databases.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning Probabilistic Latent Structure for Outlier Detection from Multi-view Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Enhanced Knowledge Graph Embedding for Multi-Task Recommendation via Integrating Attribute Information and High-Order Connectivity.
Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021

Interactive Quantum Classifier Inspired by Quantum Open System Theory.
Proceedings of the International Joint Conference on Neural Networks, 2021

Quantum Correlation Revealed by Bell State for Classification Tasks.
Proceedings of the International Joint Conference on Neural Networks, 2021

MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Generic Knowledge Based Medical Diagnosis Expert System.
Proceedings of the iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence, Linz, Austria, 29 November 2021, 2021

Discovering Periodic-Frequent Patterns in Uncertain Temporal Databases.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

AdaBoosting Clusters on Graph Neural Networks.
Proceedings of the IEEE International Conference on Data Mining, 2021

Large-scale Fake Click Detection for E-commerce Recommendation Systems.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

TAGCN: Typed Attention Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

AutoEncoder for Neuroimage.
Proceedings of the Database and Expert Systems Applications, 2021

An Effective Algorithm for Classification of Text with Weak Sequential Relationships.
Proceedings of the Database and Expert Systems Applications, 2021

Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

LSTM Based Sentiment Analysis for Cryptocurrency Prediction.
Proceedings of the Database Systems for Advanced Applications, 2021

Improving Irregularly Sampled Time Series Learning with Time-Aware Dual-Attention Memory-Augmented Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

VAGA: Towards Accurate and Interpretable Outlier Detection Based on Variational Auto-Encoder and Genetic Algorithm for High-Dimensional Data.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Mining health knowledge graph for health risk prediction.
World Wide Web, 2020

A general extensible learning approach for multi-disease recommendations in a telehealth environment.
Pattern Recognit. Lett., 2020

Feature-Based Learning in Drug Prescription System for Medical Clinics.
Neural Process. Lett., 2020

High average-utility sequential pattern mining based on uncertain databases.
Knowl. Inf. Syst., 2020

Enhanced sequence labeling based on latent variable conditional random fields.
Neurocomputing, 2020

Constructing a knowledge-based heterogeneous information graph for medical health status classification.
Health Inf. Sci. Syst., 2020

Relational intelligence recognition in online social networks - A survey.
Comput. Sci. Rev., 2020

Distant Supervision for E-commerce Query Segmentation via Attention Network.
CoRR, 2020

A Survey on Contact Tracing: the Latest Advancements and Challenges.
CoRR, 2020

AI Marker-based Large-scale AI Literature Mining.
CoRR, 2020

Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention.
CoRR, 2020

Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation.
Complex., 2020

Proof Learning in PVS With Utility Pattern Mining.
IEEE Access, 2020

Efficient Chain Structure for High-Utility Sequential Pattern Mining.
IEEE Access, 2020

Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Predicting Workplace Injuries Using Machine Learning Algorithms.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Recommendation on Heterogeneous Information Network with Type-Sensitive Sampling.
Proceedings of the Database Systems for Advanced Applications, 2020

Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

A Block-Level RNN Model for Resume Block Classification.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Effective Tuple-based Anonymization for Massive Streaming Categorical Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A Data-driven Human Responsibility Management System.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Context-aware Adaptive Outlier Detection in Trajectory Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Using Machine Learning to Automate Mammogram Images Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
On relational learning and discovery in social networks: a survey.
Int. J. Mach. Learn. Cybern., 2019

Efficient and secure multi-dimensional geometric range query over encrypted data in cloud.
J. Parallel Distributed Comput., 2019

Method and Dataset Mining in Scientific Papers.
CoRR, 2019

The 1st International Workshop on Context-Aware Recommendation Systems with Big Data Analytics (CARS-BDA).
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Learning Relational Fractals for Deep Knowledge Graph Embedding in Online Social Networks.
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

SLIND<sup>+</sup>: Stable LINk Detection.
Proceedings of the Web Information Systems Engineering, 2019

Personalised Drug Prescription for Dental Clinics Using Word Embedding.
Proceedings of the Web Information Systems Engineering, 2019

Mining Multispectral Aerial Images for Automatic Detection of Strategic Bridge Locations for Disaster Relief Missions.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

An Efficient Chain Structure to Mine High-Utility Sequential Patterns.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

MeKG: Building a Medical Knowledge Graph by Data Mining from MEDLINE.
Proceedings of the Brain Informatics - 12th International Conference, 2019

Identification of Stress Impact on Personality Density Distributions.
Proceedings of the Brain Informatics - 12th International Conference, 2019

Method and Dataset Mining in Scientific Papers.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Twitter Analysis for Depression on Social Networks based on Sentiment and Stress.
Proceedings of the 6th International Conference on Behavioral, 2019

2018
A novel social network hybrid recommender system based on hypergraph topologic structure.
World Wide Web, 2018

An infrastructure framework for privacy protection of community medical internet of things - Transmission protection, storage protection and access control.
World Wide Web, 2018

<i>FrauDetector</i><sup>+</sup>: An Incremental Graph-Mining Approach for Efficient Fraudulent Phone Call Detection.
ACM Trans. Knowl. Discov. Data, 2018

Exploiting highly qualified pattern with frequency and weight occupancy.
Knowl. Inf. Syst., 2018

A tourism destination recommender system using users' sentiment and temporal dynamics.
J. Intell. Inf. Syst., 2018

Drug prescription support in dental clinics through drug corpus mining.
Int. J. Data Sci. Anal., 2018

A Novel Differential Privacy Recommendation Method Based on a Distributed Framework.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

PPSF: An Open-Source Privacy-Preserving and Security Mining Framework.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

On Link Stability Detection for Online Social Networks.
Proceedings of the Database and Expert Systems Applications, 2018

A Metaheuristic Algorithm for Hiding Sensitive Itemsets.
Proceedings of the Database and Expert Systems Applications, 2018

A Recommender System with Advanced Time Series Medical Data Analysis for Diabetes Patients in a Telehealth Environment.
Proceedings of the Database and Expert Systems Applications, 2018

Anonymization of Multiple and Personalized Sensitive Attributes.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

SLIND: Identifying Stable Links in Online Social Networks.
Proceedings of the Database Systems for Advanced Applications, 2018

Detecting Relational States in Online Social Networks.
Proceedings of the 5th International Conference on Behavioral, 2018

Exploring the Use of a Network Model in Drug Prescription Support for Dental Clinics.
Proceedings of the 5th International Conference on Behavioral, 2018

A Genetic Algorithm Based Technique for Outlier Detection with Fast Convergence.
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2017
A survey of itemset mining.
WIREs Data Mining Knowl. Discov., 2017

On Efficient and Robust Anonymization for Privacy Protection on Massive Streaming Categorical Information.
IEEE Trans. Dependable Secur. Comput., 2017

A two-phase approach to mine short-period high-utility itemsets in transactional databases.
Adv. Eng. Informatics, 2017

FRIOD: A Deeply Integrated Feature-Rich Interactive System for Effective and Efficient Outlier Detection.
IEEE Access, 2017

Coupling a Fast Fourier Transformation With a Machine Learning Ensemble Model to Support Recommendations for Heart Disease Patients in a Telehealth Environment.
IEEE Access, 2017

Knowledge Graph Embedding by Dynamic Translation.
IEEE Access, 2017

Coupling topic modelling in opinion mining for social media analysis.
Proceedings of the International Conference on Web Intelligence, 2017

An Efficient and Secure Itinerary-Based Data Aggregation Algorithm for WSNs.
Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Mining Drug Properties for Decision Support in Dental Clinics.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2016
An intelligent recommender system based on predictive analysis in telehealthcare environment.
Web Intell., 2016

Decision support systems for adoption in dental clinics: A survey.
Knowl. Based Syst., 2016

Explore Interregional EEG Correlations Changed by Sport Training Using Feature Selection.
Comput. Intell. Neurosci., 2016

PFrauDetector: A Parallelized Graph Mining Approach for Efficient Fraudulent Phone Call Detection.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

NSSSD: A new semantic hierarchical storage for sensor data.
Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 2016

Sentiment Analysis for Depression Detection on Social Networks.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

IRS-HD: An Intelligent Personalized Recommender System for Heart Disease Patients in a Tele-Health Environment.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Adopting Hybrid Descriptors to Recognise Leaf Images for Automatic Plant Specie Identification.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

GO-PEAS: A Scalable Yet Accurate Grid-Based Outlier Detection Method Using Novel Pruning Searching Techniques.
Proceedings of the Artificial Life and Computational Intelligence, 2016

2015
A standardized design methodology for complex digital logic components of cyber-physical systems.
Microprocess. Microsystems, 2015

Detecting anomalies from big network traffic data using an adaptive detection approach.
Inf. Sci., 2015

An Intelligent Recommender System Based on Short-Term Risk Prediction for Heart Disease Patients.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

A Study of Drug Interaction for Personalised Decision Support in Dental Clinics.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Efficient Algorithms for Scheduling XML Data in a Mobile Wireless Broadcast Environment.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

2014
Outlier detection from large distributed databases.
World Wide Web, 2014

A Novel Artificial Immune Algorithm for Spatial Clustering with Obstacle Constraint and Its Applications.
Comput. Intell. Neurosci., 2014

Positive Influence Dominating Set Games.
Proceedings of the IEEE 18th International Conference on Computer Supported Cooperative Work in Design, 2014

2013
SIMS: Self-adaptive Intelligent Monitoring System for Supporting Home-Based Heart Failure Patients.
Proceedings of the Inclusive Society: Health and Wellbeing in the Community, and Care at Home, 2013

SODIT: An innovative system for outlier detection using multiple localized thresholding and interactive feedback.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

A self-stabilizing protocol for minimal weighted dominating sets in arbitrary networks.
Proceedings of the 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2013

An efficient and robust privacy protection technique for massive streaming choice-based information.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Telemedicine and Telemonitoring in Healthcare.
Proceedings of the Brain and Health Informatics - International Conference, 2013

Minimising K-Dominating Set in Arbitrary Network Graphs.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

A Self-Stabilizing Algorithm for Finding a Minimal Positive Influence Dominating Set in Social Networks.
Proceedings of the Twenty-Fourth Australasian Database Conference, 2013

Mapping Semantic Knowledge for Unsupervised Text Categorisation.
Proceedings of the Twenty-Fourth Australasian Database Conference, 2013

2012
An Innovative Outlier Detection Method Using Localized Thresholds.
Proceedings of the Data and Knowledge Engineering - Third International Conference, 2012

A Self-stabilizing Algorithm for Finding a Minimal K-Dominating Set in General Networks.
Proceedings of the Data and Knowledge Engineering - Third International Conference, 2012

Detecting global outliers from large distributed databases.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
Privacy-aware access control with trust management in web service.
World Wide Web, 2011

Detecting anomalies from high-dimensional wireless network data streams: a case study.
Soft Comput., 2011

Web Service management system for bioinformatics research: a case study.
Serv. Oriented Comput. Appl., 2011

A process provenance service system for scientific data analysis and sharing.
Proceedings of the 2011 International Conference on Data and Knowledge Engineering, 2011

Positive Influence Dominating Set in E-Learning Social Networks.
Proceedings of the Advances in Web-Based Learning - ICWL 2011, 2011

A Novel Fuzzy Logic Based Bit Freezing Technique to Improve Gene Specific Co-regulation Discovery from Gene Expression Databases.
Proceedings of the Thirty-Fourth Australasian Computer Science Conference, 2011

2010
A 3D RRAM Using a Stackable Multi-Layer 1TXR Cell.
IEICE Trans. Electron., 2010

A Web-based Interactive Data Visualization System for Outlier Subspace Analysis.
Proceedings of the ISCA 19th International Conference on Software Engineeringand Data Engineering (SEDE-2010) June 16-18, 2010

Privacy-Preserving Protocols for String Matching.
Proceedings of the Fourth International Conference on Network and System Security, 2010

On Memory and I/O Efficient Duplication Detection for Multiple Self-clean Data Sources.
Proceedings of the Database Systems for Advanced Applications, 2010

DISTRO: A System for Detecting Global Outliers from Distributed Data Streams with Privacy Protection.
Proceedings of the Database Systems for Advanced Applications, 2010

2009
Gene Specific Co-regulation Discovery: An Improved Approach.
Proceedings of the Computational Science, 2009

Semi-bipartite Graph Visualization for Gene Ontology Networks.
Proceedings of the Graph Drawing, 17th International Symposium, 2009

Detecting Projected Outliers in High-Dimensional Data Streams.
Proceedings of the Database and Expert Systems Applications, 20th International Conference, 2009

FlowRecommender: A Workflow Recommendation Technique for Process Provenance.
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

A Framework for Efficient Association Rule Mining in XML Data.
Proceedings of the Database Technologies: Concepts, 2009

2008
Discover gene specific local co-regulations from time-course gene expression data.
Sci. Program., 2008

Anomaly detection in high-dimensional network data streams: A case study.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2008

SPOT: A System for Detecting Projected Outliers From High-dimensional Data Streams.
Proceedings of the 24th International Conference on Data Engineering, 2008

Bio-Sense: A System for Supporting Sharing and Exploration in Bioinformatics Using Semantic Web Services.
Proceedings of the Fourth International Conference on e-Science, 2008

2006
Detecting outlying subspaces for high-dimensional data: the new task, algorithms, and performance.
Knowl. Inf. Syst., 2006

A Framework for Efficient Association Rule Mining in XML Data.
J. Database Manag., 2006

Discover Gene Specific Local Co-regulations Using Progressive Genetic Algorithm.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

A Novel Method for Detecting Outlying Subspaces in High-dimensional Databases Using Genetic Algorithm.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
D-GridMST: Clustering Large Distributed Spatial Databases.
Proceedings of the Classification and Clustering for Knowledge Discovery, 2005

XAR-miner: efficient association rules mining for XML data.
Proceedings of the 14th international conference on World Wide Web, 2005

X-warehouse: building query pattern-driven data.
Proceedings of the 14th international conference on World Wide Web, 2005

A Color Indexing Scheme Using Two-level Clustering Processing for Effective and Efficient Image Retrieval.
Proceedings of The 2005 International Conference on Data Mining, 2005

Grid-ODF: Detecting Outliers Effectively and Efficiently in Large Multi-dimensional Databases.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004
HOS-Miner: A System for Detecting Outlying Subspaces of High-dimensional Data.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

An Effective and Efficient Data Cleaning Technique in Large Databases.
Proceedings of the International Conference on Information and Knowledge Engineering. IKE'04, 2004

Generalized Semi-Infinite Optimization and its Application in Robotics' Path Planning Problem.
Proceedings of the International Conference on Artificial Intelligence, 2004

Statistical Issues with Labeled Sample Size Analysis for Semi-Supervised Linear Discriminant Analysis.
Proceedings of the International Conference on Artificial Intelligence, 2004

A Novel Dimensionality Reduction Technique Based on Independent Component Analysis for Modeling Microarray Gene Expression Data.
Proceedings of the International Conference on Artificial Intelligence, 2004

On Efficient and Effective Association Rule Mining from XML Data.
Proceedings of the Database and Expert Systems Applications, 15th International Conference, 2004

PC-Filter: A Robust Filtering Technique for Duplicate Record Detection in Large Databases.
Proceedings of the Database and Expert Systems Applications, 15th International Conference, 2004

2003
Building XML Data Warehouse Based on Frequent Patterns in User Queries.
Proceedings of the Data Warehousing and Knowledge Discovery, 5th International Conference, 2003


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