Jixue Liu

Orcid: 0000-0002-0794-0404

Affiliations:
  • University of South Australia, Australia


According to our database1, Jixue Liu authored at least 177 papers between 1999 and 2024.

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

Timeline

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Bibliography

2024
Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

Detecting Coseismic Landslides in GEE Using Machine Learning Algorithms on Combined Optical and Radar Imagery.
Remote. Sens., May, 2024

Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey.
ACM Comput. Surv., May, 2024

Using Surrogate Parameters to Enhance Monitoring of Community Wastewater Management System Performance for Sustainable Operations.
Sensors, March, 2024

Fairmod: making predictions fair in multiple protected attributes.
Knowl. Inf. Syst., March, 2024

When the Past != The Future: Assessing the Impact of Dataset Drift on the Fairness of Learning Analytics Models.
IEEE Trans. Learn. Technol., 2024

Onboard AI for Fire Smoke Detection Using Hyperspectral Imagery: An Emulation for the Upcoming Kanyini Hyperscout-2 Mission.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Linking Model Intervention to Causal Interpretation in Model Explanation.
CoRR, 2024

Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift.
CoRR, 2024

A Deconfounding Approach to Climate Model Bias Correction.
CoRR, 2024

A transformer boosted UNet for smoke segmentation in complex backgrounds in multispectral LandSat imagery.
CoRR, 2024

Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Conditional Instrumental Variable Regression with Representation Learning for Causal Inference.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Integrating Fair Representation Learning with Fairness Regularization for Intersectional Group Fairness.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

TSI: A Multi-view Representation Learning Approach for Time Series Forecasting.
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

Improving Intersectional Group Fairness Using Conditional Generative Adversarial Network and Transfer Learning.
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Personalized Interventions to Increase the Employment Success of People With Disability.
IEEE Trans. Big Data, December, 2023

Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Local Search for Efficient Causal Effect Estimation.
IEEE Trans. Knowl. Data Eng., September, 2023

Should Learning Analytics Models Include Sensitive Attributes? Explaining the Why.
IEEE Trans. Learn. Technol., August, 2023

Causal heterogeneity discovery by bottom-up pattern search for personalised decision making.
Appl. Intell., April, 2023

Learning Class-Specific Spectral Patterns to Improve Deep Learning Based Scene-Level Fire Smoke Detection from Multi-Spectral Satellite Imagery.
CoRR, 2023

Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion.
CoRR, 2023

Linking a predictive model to causal effect estimation.
CoRR, 2023

DATM: A Novel Data Agnostic Topic Modeling Technique With Improved Effectiveness for Both Short and Long Text.
IEEE Access, 2023

Learning Conditional Instrumental Variable Representation for Causal Effect Estimation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Disentangled Representation with Causal Constraints for Counterfactual Fairness.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Assessing the Fairness of Course Success Prediction Models in the Face of (Un)equal Demographic Group Distribution.
Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

Stabilising Job Survival Analysis for Disability Employment Services in Unseen Environments.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference.
Proceedings of the IEEE International Conference on Data Mining, 2023

Improve interpretability of Information Bottlenecks for Attribution with Layer-wise Relevance Propagation.
Proceedings of the IEEE International Conference on Big Data, 2023

Causal Disentanglement for Adversarial Defense.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

Disentangled Representation for Causal Mediation Analysis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Causal Inference with Conditional Instruments Using Deep Generative Models.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Applications of Online UV-Vis Spectrophotometer for Drinking Water Quality Monitoring and Process Control: A Review.
Sensors, 2022

Investigating the Impact of Using IR Bands on Early Fire Smoke Detection from Landsat Imagery with a Lightweight CNN Model.
Remote. Sens., 2022

FastOPM - A practical method for partial match of time series.
Pattern Recognit., 2022

Sufficient dimension reduction for average causal effect estimation.
Data Min. Knowl. Discov., 2022

Explanatory causal effects for model agnostic explanations.
CoRR, 2022

Ancestral instrument method for causal inference without a causal graph.
CoRR, 2022

How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics?
Br. J. Educ. Technol., 2022

Assessing Classifier Fairness with Collider Bias.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker?
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Ancestral Instrument Method for Causal Inference without Complete Knowledge.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Assessing the Causal Impact of Online Instruction due to COVID-19 on Students' Grades and its aftermath on Grade Prediction Models.
Proceedings of the GoodIT 2022: ACM International Conference on Information Technology for Social Good, Limassol, Cyprus, September 7, 2022

Decision Support for Disability Employment using Counterfactual Survival Analysis.
Proceedings of the IEEE International Conference on Big Data, 2022

Randomize Adversarial Defense in a Light Way.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
A general framework for causal classification.
Int. J. Data Sci. Anal., 2021

Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Divide and Conquer: Targeted Adversary Detection using Proximity and Dependency.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Training Neural Networks with Random Noise Images for Adversarial Robustness.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Leveraging burst in twitter network communities for event detection.
World Wide Web, 2020

Accurate data-driven prediction does not mean high reproducibility.
Nat. Mach. Intell., 2020

Dependency-based Anomaly Detection: Framework, Methods and Benchmark.
CoRR, 2020

Assessing the Fairness of Classifiers with Collider Bias.
CoRR, 2020

Sufficient Dimension Reduction for Average Causal Effect Estimation.
CoRR, 2020

Towards precise causal effect estimation from data with hidden variables.
CoRR, 2020

Evidence Weighted Tree Ensembles for Text Classification.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

LoPAD: A Local Prediction Approach to Anomaly Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Causal Query in Observational Data with Hidden Variables.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Intervention Recommendation for Improving Disability Employment.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Building Fair Predictive Models.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

2019
Certus: An Effective Entity Resolution Approach with Graph Differential Dependencies (GDDs).
Proc. VLDB Endow., 2019

On the Expressive Power of Logics on Constraint Databases with Complex Objects.
J. Comput. Sci. Technol., 2019

Privacy preserving serial publication of transactional data.
Inf. Syst., 2019

Identify treatment effect patterns for personalised decisions.
CoRR, 2019

Efficient subgraph search on large anonymized graphs.
Concurr. Comput. Pract. Exp., 2019

A relative privacy model for effective privacy preservation in transactional data.
Concurr. Comput. Pract. Exp., 2019

Semantic Explanations in Ensemble Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Linking Graph Entities with Multiplicity and Provenance.
Proceedings of the 2nd International Workshop on EntitY REtrieval co-located with 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), 2019

A Semantics Aware Random Forest for Text Classification.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Authenticity and credibility aware detection of adverse drug events from social media.
Int. J. Medical Informatics, 2018

An exploration of algorithmic discrimination in data and classification.
CoRR, 2018

FairMod - Making Predictive Models Discrimination Aware.
CoRR, 2018

Supervised signal detection for adverse drug reactions in medication dispensing data.
Comput. Methods Programs Biomed., 2018

Which Type of Classifier to Use for Networked Data, Connectivity Based or Feature Based?
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

SensorTree: Bursty Propagation Trees as Sensors for Protest Event Detection.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Information Propagation Trees for Protest Event Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017
Causal Decision Trees.
IEEE Trans. Knowl. Data Eng., 2017

A revised result on chasing tree patterns under schema graphs.
Inf. Process. Lett., 2017

Building Diversified Multiple Trees for classification in high dimensional noisy biomedical data.
Health Inf. Sci. Syst., 2017

Mobile cloud security: An adversary model for lightweight browser security.
Comput. Stand. Interfaces, 2017

Can Android VoIP voice conversations be decoded? I can eavesdrop on your Android VoIP communication.
Concurr. Comput. Pract. Exp., 2017

Utility Aware Clustering for Publishing Transactional Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Discrimination detection by causal effect estimation.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

An Architecture for Establishing Legal Semantic Workflows in the Context of Integrated Law Enforcement.
Proceedings of the AI Approaches to the Complexity of Legal Systems, 2017

Carbon: Forecasting Civil Unrest Events by Monitoring News and Social Media.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016
From Observational Studies to Causal Rule Mining.
ACM Trans. Intell. Syst. Technol., 2016

A hybrid approach to prevent composition attacks for independent data releases.
Inf. Sci., 2016

Building Diversified Multiple Trees for Classification in High Dimensional Noise Data.
CoRR, 2016

Detecting signals of detrimental prescribing cascades from social media.
Artif. Intell. Medicine, 2016

An Effective Spatio-Temporal Approach for Predicting Future Semantic Locations.
Proceedings of the Databases Theory and Applications, 2016

2015
Technical Correspondence: "Differential Dependencies: Reasoning and Discovery" Revisited.
ACM Trans. Database Syst., 2015

Using causal discovery for feature selection in multivariate numerical time series.
Mach. Learn., 2015

STMM: Semantic and Temporal-Aware Markov Chain Model for Mobility Prediction.
Proceedings of the Data Science - Second International Conference, 2015

Efficient Mining of Non-derivable Emerging Patterns.
Proceedings of the Databases Theory and Applications, 2015

Efficient Discovery of Differential Dependencies Through Association Rules Mining.
Proceedings of the Databases Theory and Applications, 2015

Unifying Spatial, Temporal and Semantic Features for an Effective GPS Trajectory-Based Location Recommendation.
Proceedings of the Databases Theory and Applications, 2015

Conditional Differential Dependencies (CDDs).
Proceedings of the Advances in Databases and Information Systems, 2015

Methods to Mitigate Risk of Composition Attack in Independent Data Publications.
Proceedings of the Medical Data Privacy Handbook, 2015

2014
A probabilistic approach to mitigate composition attacks on privacy in non-coordinated environments.
Knowl. Based Syst., 2014

Discovering statistically non-redundant subgroups.
Knowl. Based Syst., 2014

An improvement of symbolic aggregate approximation distance measure for time series.
Neurocomputing, 2014

Top-k Similarity Matching in Large Graphs with Attributes.
Proceedings of the Database Systems for Advanced Applications, 2014

A Study on the Applications of Emerging Sequential Patterns.
Proceedings of the Databases Theory and Applications, 2014

Logics for Representing Data Mining Tasks in Inductive Databases.
Proceedings of the Databases Theory and Applications, 2014

Mining Differential Dependencies: A Subspace Clustering Approach.
Proceedings of the Databases Theory and Applications, 2014

2013
A general framework for privacy preserving data publishing.
Knowl. Based Syst., 2013

On discovery of functional dependencies from data.
Data Knowl. Eng., 2013

Update XML Views
CoRR, 2013

Discovery of Approximate Differential Dependencies.
CoRR, 2013

Effective Pruning for the Discovery of Conditional Functional Dependencies.
Comput. J., 2013

Exploring Groups from Heterogeneous Data via Sparse Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Mining Causal Association Rules.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Distributed Anonymization for Multiple Data Providers in a Cloud System.
Proceedings of the Database Systems for Advanced Applications, 2013

A Two-Layer Multi-dimensional Trustworthiness Metric for Web Service Composition.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

2012
Discover Dependencies from Data - A Review.
IEEE Trans. Knowl. Data Eng., 2012

The implication problem for 'closest node' functional dependencies in complete XML documents.
J. Comput. Syst. Sci., 2012

Give Rookies A Chance: A Trust-Based Institutional Online Supplier Recommendation Framework.
Proceedings of the Information Security and Privacy Research, 2012

Updating Typical XML Views.
Proceedings of the Database Systems for Advanced Applications, 2012

Data Privacy against Composition Attack.
Proceedings of the Database Systems for Advanced Applications, 2012

2011
Information based data anonymization for classification utility.
Data Knowl. Eng., 2011

A Framework for Reputation Bootstrapping Based on Reputation Utility and Game Theories.
Proceedings of the IEEE 10th International Conference on Trust, 2011

Recognize Trustworthy Web Services Via Institutions.
Proceedings of the ICEIS 2011, 2011

On mining association rules with semantic constraints in XML.
Proceedings of the Sixth IEEE International Conference on Digital Information Management, 2011

Evaluating Contained Rewritings for XPath Queries on Materialized Views.
Proceedings of the Database Systems for Advanced Applications, 2011

Cloning for privacy protection in multiple independent data publications.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Discovering Association Rules Change from Large Databases.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2011

2010
Privacy Protection for Genomic Data: Current Techniques and Challenges.
Proceedings of the Advances in Intelligent Information Systems, 2010

Towards the preservation of functional dependency in XML data transformation.
Int. J. Intell. Inf. Database Syst., 2010

Semantic Constraint-Based XML Updating.
Proceedings of the Database Theory and Application, Bio-Science and Bio-Technology, 2010

2009
Preserving key in XML data transformation.
Acta Informatica, 2009

On Defining Functional Dependency for XML.
Proceedings of the 3rd IEEE International Conference on Semantic Computing (ICSC 2009), 2009

On the Performances of Checking XML Key and Functional Dependency Satisfactions.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2009, 2009

Transformation of Data with Constraints for Integration: An Information System Approach.
Proceedings of the Database Theory and Application, 2009

Preserving Referential Integrity Constraints in XML Data Transformation.
Proceedings of the Database Theory and Application, 2009

Studying Genotype-Phenotype Attack on k-anonymised Medical and Genomic Data.
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

Checking Satisfactions of XML Referential Integrity Constraints.
Proceedings of the Active Media Technology, 5th International Conference, 2009

Towards Evolving Constraints in Data Transformation for XML Data Warehousing.
Proceedings of the Advances in Databases and Information Systems, 2009

2008
An Implementation of XML Data Integration.
Proceedings of the ICEIS 2008, 2008

Key Preserving P2P Data Transformation in XML.
Proceedings of the Databases, 2008

Performance Analysis and Improvement for Transformation Operators in XML Data Integration.
Proceedings of the Progress in WWW Research and Development, 2008

Computing Structural Similarity of Source XML Schemas against Domain XML Schema.
Proceedings of the Database Technologies 2008. Proceedings of the Nineteenth Australasian Database Conference, 2008

Preserving Functional Dependency in XML Data Transformation.
Proceedings of the Advances in Databases and Information Systems, 2008

2007
On the equivalence between FDs in XML and FDs in relations.
Acta Informatica, 2007

2006
Constraint Preserving Transformation from Relational Schema to XML Schema.
World Wide Web, 2006

A Formalism of XML Restructuring Operations.
Proceedings of the Semantic Web, 2006

2005
Checking Functional Dependency Satisfaction in XML.
Proceedings of the Database and XML Technologies, 2005

Radial Projection: A Feature Extraction Method for Topographical Shapes.
Proceedings of the Advances in Multimedia Information Processing, 2005

An XML Approach to Semantically Extract Data from HTML Tables.
Proceedings of the Database and Expert Systems Applications, 16th International Conference, 2005

Checking Multivalued Dependencies in XML.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

2004
Strong functional dependencies and their application to normal forms in XML.
ACM Trans. Database Syst., 2004

Irrelevant updates and self-maintainability in transitive closure database views.
Inf. Process. Lett., 2004

Querying relational databases through XSLT.
Data Knowl. Eng., 2004

Generalized Inclusion Dependencies in XML.
Proceedings of the Advanced Web Technologies and Applications, 2004

2003
Maintaining Views in Object-Relational Databases.
Knowl. Inf. Syst., 2003

Completeness and Decidability Properties for Functional Dependencies in XML
CoRR, 2003

Derivation of Incremental Equations for PNF Nested Relations.
Acta Cybern., 2003

A Redundancy Free 4NF for XML.
Proceedings of the Database and XML Technologies, 2003

A Virtual XML Database Engine for Relational Databases.
Proceedings of the Database and XML Technologies, 2003

Local XML functional dependencies.
Proceedings of the Fifth ACM CIKM International Workshop on Web Information and Data Management (WIDM 2003), 2003

Redundancy Free Mappings from Relations to XML.
Proceedings of the Advances in Web-Age Information Management, 2003

Query Translation from XSLT to SQL.
Proceedings of the 7th International Database Engineering and Applications Symposium (IDEAS 2003), 2003

Functional Dependencies, from Relational to XML.
Proceedings of the Perspectives of Systems Informatics, 2003

Multivalued Dependencies and a 4NF for XML.
Proceedings of the Advanced Information Systems Engineering, 15th International Conference, 2003

Accessing Relational Databases via XML Schema.
Proceedings of the 15th Conference on Advanced Information Systems Engineering (CAiSE '03), 2003

Multivalued Dependencies in XML.
Proceedings of the New Horizons in Information Management, 2003

Functional Dependencies for XML.
Proceedings of the Web Technologies and Applications, 5th Asian-Pacific Web Conference, 2003

On Transformation to Redundancy Free XML Schema from Relational Database Schema.
Proceedings of the Web Technologies and Applications, 5th Asian-Pacific Web Conference, 2003

2002
Containment and disjointedness in partitioned normal form relations.
Acta Informatica, 2002

A Declarative Way of Extracting XML Data in XSL.
Proceedings of the Advances in Databases and Information Systems, 2002

2001
Derivation of incremental equations for nested relations.
Proceedings of the Twelfth Australasian Database Conference, 2001

2000
Implementation and Performance Analysis of Incremental Equations for Nested Relations.
Proceedings of the 2000 International Database Engineering and Applications Symposium, 2000

1999
Incremental Maintenance of Nested Relational Views.
Proceedings of the 1999 International Database Engineering and Applications Symposium, 1999

Incremental Evaluation of Nest and Unnest Operators in Nested Relations.
Proceedings of the Proceedings of the Second International Symposium on Cooperative Database Systems for Advanced Applications, 1999


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