Vincent Cheng-Siong Lee

Affiliations:
  • Monash University, Melbourne, Australia


According to our database1, Vincent Cheng-Siong Lee authored at least 101 papers between 2002 and 2024.

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

Timeline

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Bibliography

2024
Cross-entropy-based adaptive fuzzy control for visual tracking of road cracks with unmanned mobile robot.
Comput. Aided Civ. Infrastructure Eng., March, 2024

From Data to Insights: A Comprehensive Survey on Advanced Applications in Thyroid Cancer Research.
CoRR, 2024

2023
Anomaly Detection in Dynamic Graphs via Transformer.
IEEE Trans. Knowl. Data Eng., December, 2023

Compliance Analyses of Australia's Online Household Appliances.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Learning Strong Graph Neural Networks with Weak Information.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs.
Proceedings of the International Conference on Machine Learning, 2023

Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Information resources estimation for accurate distribution-based concept drift detection.
Inf. Process. Manag., 2022

Service resource allocation problem in the IoT driven personalized healthcare information platform.
CoRR, 2022

Dynamic physical activity recommendation on personalised mobile health information service: A deep reinforcement learning approach.
CoRR, 2022

Multi-channel deep convolutional neural networks for multi-classifying thyroid disease.
CoRR, 2022

Deep convolutional neural networks in thyroid disease detection: A multi-classification comparison by ultrasonography and computed tomography.
Comput. Methods Programs Biomed., 2022

A multi-channel deep convolutional neural network for multi-classifying thyroid diseases.
Comput. Biol. Medicine, 2022

Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An Intelligent Hybrid Cloud-Based ANP and AI Model for Development Site Selection.
Proceedings of the Intelligent Systems and Applications, 2022

Unifying Graph Contrastive Learning with Flexible Contextual Scopes.
Proceedings of the IEEE International Conference on Data Mining, 2022

SFPAD: Sentiment-driven Firm Pricing Anomaly Detection Algorithm and Application.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Robotic Hierarchical Graph Neurons. A novel implementation of HGN for swarm robotic behaviour control.
Expert Syst. Appl., 2021

Anomaly Detection in Dynamic Graphs via Transformer.
CoRR, 2021

Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

A Fully Unsupervised and Efficient Anomaly Detection Approach with Drift Detection Capability.
Proceedings of the 2021 International Conference on Data Mining, 2021

2020
DAG: A General Model for Privacy-Preserving Data Mining.
IEEE Trans. Knowl. Data Eng., 2020

Automated pavement crack detection and segmentation based on two-step convolutional neural network.
Comput. Aided Civ. Infrastructure Eng., 2020

Concrete crack detection with handwriting script interferences using faster region-based convolutional neural network.
Comput. Aided Civ. Infrastructure Eng., 2020

MIR_MAD: An Efficient and On-line Approach for Anomaly Detection in Dynamic Data Stream.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

DAG: A General Model for Privacy-Preserving Data Mining : (Extended Abstract).
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Multiple Autonomous Robots Coordination and Navigation.
J. Robotics, 2019

Online Semi-Supervised Concept Drift Detection with Density Estimation.
CoRR, 2019

An Application of Convolutional Neural Networks for the Early Detection of Late-onset Neonatal Sepsis.
Proceedings of the International Joint Conference on Neural Networks, 2019

Data Communication Assistance via Swarm Robotic: A Behaviour Creation Comparison.
Proceedings of the Artificial Intelligence. IJCAI 2019 International Workshops, 2019

A Study of Educational Data Mining: Evidence from a Thai University.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Detecting Student at Risk of Failure: A Case Study of Conceptualizing Mining from Internet Access Log Files.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017
Gov2.0: Public Value Enabler.
Proceedings of the International Conference on Information Systems, 2017

2016
Winning Digital Citizens: a Model and Instrument.
Proceedings of the 20th Pacific Asia Conference on Information Systems, 2016

Delivering Public Value: Synergistic Integration via Gov 2.0.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

2015
Customer Satisfaction: Moderator of e-Business Performance and e-Business Liveability.
J. Softw., 2015

Gov2.0: A Service Science Perspective.
Proceedings of the 19th Pacific Asia Conference on Information Systems, 2015

DAG: A Model for Privacy Preserving Computation.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

2014
Clusters and Innovation: a Case of the Colchagua Wine Cluster.
Proceedings of the 18th Pacific Asia Conference on Information Systems, 2014

Towards Sustainability of eMarketplaces.
Proceedings of the 18th Pacific Asia Conference on Information Systems, 2014

2013
Privacy Preserving Support Vector Machine Using Non-linear Kernels on Hadoop Mahout.
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

Exploring Enterprise Strategic Orientation and Radical Innovation Success.
Proceedings of the Australasian Conference on Information Systems, 2013

2012
Resilient Identity Crime Detection.
IEEE Trans. Knowl. Data Eng., 2012

An Adaptive Algorithm for Finding Frequent Sets in Landmark Windows.
Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012

Why Web-Based Pseudo Relevance Feedback Systems Fail.
Proceedings of the Seventh International Conference on Knowledge, 2012

Demand Response Architectures and Load Management Algorithms for Energy-Efficient Power Grids: A Survey.
Proceedings of the Seventh International Conference on Knowledge, 2012

The Relationship between Complementary Services and Service System Value Creation: A Case Study of eMarketplaces in Saudi Arabia.
Proceedings of the Seventh International Conference on Knowledge, 2012

Towards objective data selection in bankruptcy prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A Study of Efficiency and Accuracy of Secure Multiparty Protocol in Privacy-Preserving Data Mining.
Proceedings of the 26th International Conference on Advanced Information Networking and Applications Workshops, 2012

2011
A microblogging-based approach to terrorism informatics: Exploration and chronicling civilian sentiment and response to terrorism events via Twitter.
Inf. Syst. Frontiers, 2011

Real-Time Detection of Parked Vehicles from Multiple Image Streams.
Proceedings of the Networked Digital Technologies - Third International Conference, 2011

Towards an Explanatory Model of eMarketplaces Utilization - A Case Study of Saudi Arabia.
Proceedings of the ICEIS 2011, 2011

An Integrated BPM-SOA Framework for Agile Enterprises.
Proceedings of the Intelligent Information and Database Systems, 2011

2010
Dissecting Twitter: A Review on Current Microblogging Research and Lessons from Related Fields.
Proceedings of the From Sociology to Computing in Social Networks - Theory, 2010

Twitmographics: Learning the Emergent Properties of the Twitter Community.
Proceedings of the From Sociology to Computing in Social Networks - Theory, 2010

Privacy-Preserving Gradient-Descent Methods.
IEEE Trans. Knowl. Data Eng., 2010

Mining Hierarchical Negative Association Rules.
Comput. Syst. Sci. Eng., 2010

A Comprehensive Survey of Data Mining-based Fraud Detection Research
CoRR, 2010

A Competence-Based Collaborative Network: The West Midlands Collaborative Commerce Marketplace.
Proceedings of the Collaborative Networks for a Sustainable World, 2010

A Study on Detecting Patterns in Twitter Intra-topic User and Message Clustering.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

<i>Twittering</i> for Earth: A Study on the Impact of Microblogging Activism on Earth Hour 2009 in Australia.
Proceedings of the Intelligent Information and Database Systems, 2010

2009
Unsupervised and Supervised Learning of Graph Domains.
Proceedings of the Innovations in Neural Information Paradigms and Applications, 2009

The Personal Name Problem and a Data Mining Solution.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Frequent Sets Mining in Data Stream Environments.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

A new multi-agent system framework for tacit knowledge management in manufacturing supply chains.
J. Intell. Manuf., 2009

On the communal analysis suspicion scoring for identity crime in streaming credit applications.
Eur. J. Oper. Res., 2009

A Machine Learning Approach to Link Prediction for Interlinked Documents.
Proceedings of the Focused Retrieval and Evaluation, 2009

Editorial to the Proceedings of mobile technologies in enterprise computing systems workshop (MTECS 2009).
Proceedings of the Workshops Proceedings of the 12th IEEE International Enterprise Distributed Object Computing Conference, 2009

Incremental and Adaptive Clustering Stream Data over Sliding Window.
Proceedings of the Database and Expert Systems Applications, 20th International Conference, 2009

An EM-Based Algorithm for Clustering Data Streams in Sliding Windows.
Proceedings of the Database Systems for Advanced Applications, 2009

Integrating web-based intelligence retrieval and decision-making from the twitter trends knowledge base.
Proceedings of the 2nd ACM Workshop on Social Web Search and Mining, 2009

A ConceptLink Graph for Text Structure Mining.
Proceedings of the Computer Science 2009, 2009

2008
Exception rules in association rule mining.
Appl. Math. Comput., 2008

2007
An empirical study of AI-based multiple domain models for selecting attributes that drive company wealth.
Soft Comput., 2007

A multivariate neuro-fuzzy system for foreign currency risk management decision making.
Neurocomputing, 2007

Privacy-preservation for gradient descent methods.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Feature Selection Techniques, Company Wealth Assessment and Intra-sectoral Firm Behaviours.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2007

Corporate Culture: A New Challenge to E-Supply Chain Management Systems.
Proceedings of the ICEIS 2007, 2007

Adaptive Spike Detection for Resilient Data Stream Mining.
Proceedings of the Data Mining and Analytics 2007, 2007

Discovering Frequent Sets from Data Streams with CPU Constraint.
Proceedings of the Data Mining and Analytics 2007, 2007

2006
Estimating Potential IT Security Losses: An Alternative Quantitative Approach.
IEEE Secur. Priv., 2006

Temporal Representation in Spike Detection of Sparse Personal Identity Streams.
Proceedings of the Intelligence and Security Informatics, International Workshop, 2006

An Intelligent Algorithm for Modeling and Optimizing Dynamic Supply Chains Complexity.
Proceedings of the Intelligent Computing, 2006

Communal Detection of Implicit Personal Identity Streams.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Modeling Supply Chain Complexity Using a Distributed Multi-objective Genetic Algorithm.
Proceedings of the Computational Science and Its Applications, 2006

2005
Volatility Transmission Between Stock and Bond Markets: Evidence from US and Australia.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

Development and Test of an Artificial-Immune- Abnormal-Trading-Detection System for Financial Markets.
Proceedings of the Advances in Intelligent Computing, 2005

A Hybrid Artificial Intelligent-Based Criteria-Matching with Classification Algorithm.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2004
Minority report in fraud detection: classification of skewed data.
SIGKDD Explor., 2004

An Alternative Methodology for Mining Seasonal Pattern Using Self-Organizing Map.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

A Hybrid Fuzzy-Neuro Model for Preference-Based Decision Analysis.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

An Algorithm for Artificial Intelligence-Based Model Adaptation to Dynamic Data Distribution.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Credit Risks of Interest Rate Swaps: A Comparative Study of CIR and Monte Carlo Simulation Approach.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Contributions of Domain Knowledge and Stacked Generalization in AI-Based Classification Models.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003
A Fuzzy Multi-criteria Decision Model for Information System Security Investment.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

A simple state-space technique for modelling nonlinear load generated harmonics.
Proceedings of the 2003 10th IEEE International Conference on Electronics, 2003

Real data performance analysis of dynamic harmonics behaviour in a DC variable speed drive.
Proceedings of the 2003 10th IEEE International Conference on Electronics, 2003

Testing the Expectations Hypothesis for Interest Rate Term Structure: Some Australian Evidence.
Proceedings of the Computational Science and Its Applications, 2003

A Simplified Neuro-Fuzzy Inference System (S-NFIS) Tool for Criteria Matching.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

2002
An Intelligent Filter for Optimizing Co-Existing Dynamic Harmonics.
Proceedings of the FSDK'02, 2002


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