Incremental Evaluation of Nest and Unnest Operators in Nested Relations. - Jixue Liu; Millist W. Vincent; Mukesh K. Mohania (CODAS, 1999)

Incremental Maintenance of Nested Relational Views. - Jixue Liu; Millist W. Vincent; Mukesh K. Mohania (IDEAS, 1999)

Implementation and Performance Analysis of Incremental Equations for Nested Relations. - Jixue Liu; Millist W. Vincent; Mukesh K. Mohania (IDEAS, 2000)

Derivation of incremental equations for nested relations. - Jixue Liu; Millist W. Vincent (ADC, 2001)

A Declarative Way of Extracting XML Data in XSL. - Jixue Liu; Chengfei Liu (ADBIS, 2002)

Containment and disjointedness in partitioned normal form relations. - Jixue Liu; Millist W. Vincent (Acta Informatica, 2002)

On Transformation to Redundancy Free XML Schema from Relational Database Schema. - Chengfei Liu; Jixue Liu; Minyi Guo (APWeb, 2003)

Functional Dependencies for XML. - Millist W. Vincent; Jixue Liu (APWeb, 2003)

Multivalued Dependencies in XML. - Millist W. Vincent; Jixue Liu (BNCOD, 2003)

Accessing Relational Databases via XML Schema. - Chengfei Liu; Minyi Guo; Jixue Liu (CAiSE Short Paper Proceedings, 2003)

Multivalued Dependencies and a 4NF for XML. - Millist W. Vincent; Jixue Liu (CAiSE, 2003)

Functional Dependencies, from Relational to XML. - Jixue Liu; Millist W. Vincent; Chengfei Liu (Ershov Memorial Conference, 2003)

Query Translation from XSLT to SQL. - Jixue Liu; Millist W. Vincent (IDEAS, 2003)

Redundancy Free Mappings from Relations to XML. - Millist W. Vincent; Jixue Liu; Chengfei Liu (WAIM, 2003)

Local XML functional dependencies. - Jixue Liu; Millist W. Vincent; Chengfei Liu (WIDM, 2003)

A Virtual XML Database Engine for Relational Databases. - Chengfei Liu; Millist W. Vincent; Jixue Liu; Minyi Guo (Xsym, 2003)

A Redundancy Free 4NF for XML. - Millist W. Vincent; Jixue Liu; Chengfei Liu (Xsym, 2003)

Derivation of Incremental Equations for PNF Nested Relations. - Jixue Liu; Millist W. Vincent (Acta Cybern., 2003)

Completeness and Decidability Properties for Functional Dependencies in XML - Millist W. Vincent; Jixue Liu (CoRR, 2003)

Maintaining Views in Object-Relational Databases. - Jixue Liu; Millist W. Vincent; Mukesh K. Mohania (Knowl. Inf. Syst., 2003)

Generalized Inclusion Dependencies in XML. - Millist W. Vincent; Michael Schrefl; Jixue Liu; Chengfei Liu; Solen Dogen (APWeb, 2004)

Querying relational databases through XSLT. - Jixue Liu; Millist W. Vincent (Data Knowl. Eng., 2004)

Irrelevant updates and self-maintainability in transitive closure database views. - Millist W. Vincent; Jixue Liu (Inf. Process. Lett., 2004)

Strong functional dependencies and their application to normal forms in XML. - Millist W. Vincent; Jixue Liu; Chengfei Liu (ACM Trans. Database Syst., 2004)

Checking Multivalued Dependencies in XML. - Jixue Liu; Millist W. Vincent; Chengfei Liu; Mukesh K. Mohania (APWeb, 2005)

An XML Approach to Semantically Extract Data from HTML Tables. - Jixue Liu; Zhuoyun Ao; Ho-Hyun Park; Yongfeng Chen (DEXA, 2005)

Radial Projection: A Feature Extraction Method for Topographical Shapes. - Yong-Il Kwon; Ho-Hyun Park; Jixue Liu; Mario A. Nascimento (PCM (1), 2005)

Checking Functional Dependency Satisfaction in XML. - Millist W. Vincent; Jixue Liu (XSym, 2005)

A Formalism of XML Restructuring Operations. - Jixue Liu; Ho-Hyun Park; Millist W. Vincent; Chengfei Liu (ASWC, 2006)

Constraint Preserving Transformation from Relational Schema to XML Schema. - Chengfei Liu; Millist W. Vincent; Jixue Liu (World Wide Web, 2006)

On the equivalence between FDs in XML and FDs in relations. - Millist W. Vincent; Jixue Liu; Mukesh K. Mohania (Acta Informatica, 2007)

Preserving Functional Dependency in XML Data Transformation. - Md. Sumon Shahriar; Jixue Liu (ADBIS, 2008)

Computing Structural Similarity of Source XML Schemas against Domain XML Schema. - Jianxin Li 001; Chengfei Liu; Jeffrey Xu Yu; Jixue Liu; Guoren Wang; Chi Yang (ADC, 2008)

Performance Analysis and Improvement for Transformation Operators in XML Data Integration. - Jiashen Tian; Jixue Liu; Weidong Pan; Millist W. Vincent; Chengfei Liu (APWeb, 2008)

Key Preserving P2P Data Transformation in XML. - Md. Sumon Shahriar; Jixue Liu (DBISP2P, 2008)

An Implementation of XML Data Integration. - Weidong Pan; Jixue Liu; Jiashen Tian (ICEIS (1), 2008)

Towards Evolving Constraints in Data Transformation for XML Data Warehousing. - Md. Sumon Shahriar; Jixue Liu (ADBIS (Workshops), 2009)

Checking Satisfactions of XML Referential Integrity Constraints. - Md. Sumon Shahriar; Jixue Liu (AMT, 2009)

Studying Genotype-Phenotype Attack on k-anonymised Medical and Genomic Data. - Muzammil M. Baig; Jiuyong Li; Jixue Liu; Hua Wang 002 (AusDM, 2009)

Preserving Referential Integrity Constraints in XML Data Transformation. - Md. Sumon Shahriar; Jixue Liu (FGIT-DTA, 2009)

Transformation of Data with Constraints for Integration: An Information System Approach. - Md. Sumon Shahriar; Jixue Liu (FGIT-DTA, 2009)

On the Performances of Checking XML Key and Functional Dependency Satisfactions. - Md. Sumon Shahriar; Jixue Liu (OTM Conferences (2), 2009)

On Defining Functional Dependency for XML. - Md. Sumon Shahriar; Jixue Liu (ICSC, 2009)

Preserving key in XML data transformation. - Md. Sumon Shahriar; Jixue Liu (Acta Informatica, 2009)

Semantic Constraint-Based XML Updating. - Md. Sumon Shahriar; Jixue Liu (FGIT-DTA/BSBT, 2010)

Towards the preservation of functional dependency in XML data transformation. - Md. Sumon Shahriar; Jixue Liu (Int. J. Intell. Inf. Database Syst., 2010)

Privacy Protection for Genomic Data: Current Techniques and Challenges. - Muzammil M. Baig; Jiuyong Li; Jixue Liu; Hua Wang 002; Junhu Wang (Advances in Intelligent Information Systems, 2010)

Discovering Association Rules Change from Large Databases. - Feiyue Ye; Jixue Liu; Jin Qian; Yuxi Shi (AICI (1), 2011)

Cloning for privacy protection in multiple independent data publications. - Muzammil M. Baig; Jiuyong Li; Jixue Liu; Hua Wang 002 (CIKM, 2011)

Evaluating Contained Rewritings for XPath Queries on Materialized Views. - Rui Zhou 001; Chengfei Liu; Jianxin Li 001; Junhu Wang; Jixue Liu (DASFAA (1), 2011)

On mining association rules with semantic constraints in XML. - Md. Sumon Shahriar; Jixue Liu (ICDIM, 2011)

Recognize Trustworthy Web Services Via Institutions. - Han Jiao 001; Jixue Liu; Jiuyong Li (ICEIS (4), 2011)

A Framework for Reputation Bootstrapping Based on Reputation Utility and Game Theories. - Han Jiao 001; Jixue Liu; Jiuyong Li; Chengfei Liu (TrustCom, 2011)

Information based data anonymization for classification utility. - Jiuyong Li; Jixue Liu; Muzammil M. Baig; Raymond Chi-Wing Wong (Data Knowl. Eng., 2011)

Data Privacy against Composition Attack. - Muzammil M. Baig; Jiuyong Li; Jixue Liu; Xiaofeng Ding 001; Hua Wang 002 (DASFAA (1), 2012)

Updating Typical XML Views. - Jixue Liu; Chengfei Liu; Theo Härder; Jeffrey Xu Yu (DASFAA (1), 2012)

Give Rookies A Chance: A Trust-Based Institutional Online Supplier Recommendation Framework. - Han Jiao 001; Jixue Liu; Jiuyong Li; Chengfei Liu (SEC, 2012)

The implication problem for 'closest node' functional dependencies in complete XML documents. - Millist W. Vincent; Jixue Liu; Mukesh K. Mohania (J. Comput. Syst. Sci., 2012)

Discover Dependencies from Data - A Review. - Jixue Liu; Jiuyong Li; Chengfei Liu; Yongfeng Chen (IEEE Trans. Knowl. Data Eng., 2012)

A Two-Layer Multi-dimensional Trustworthiness Metric for Web Service Composition. - Han Jiao 001; Jixue Liu; Jiuyong Li; Chengfei Liu (APWeb, 2013)

Distributed Anonymization for Multiple Data Providers in a Cloud System. - Xiaofeng Ding 001; Qing Yu; Jiuyong Li; Jixue Liu; Hai Jin 001 (DASFAA (1), 2013)

Mining Causal Association Rules. - Jiuyong Li; Thuc Duy Le; Lin Liu 003; Jixue Liu; Zhou Jin 003; Bing-Yu Sun (ICDM Workshops, 2013)

Exploring Groups from Heterogeneous Data via Sparse Learning. - Huawen Liu; Jiuyong Li; Lin Liu 003; Jixue Liu; Ivan Lee 001; Jianmin Zhao (PAKDD (1), 2013)

Effective Pruning for the Discovery of Conditional Functional Dependencies. - Jiuyong Li; Jixue Liu; Hannu Toivonen; Jianming Yong (Comput. J., 2013)

Discovery of Approximate Differential Dependencies. - Jixue Liu; Selasi Kwashie; Jiuyong Li; Feiyue Ye; Millist W. Vincent (CoRR, 2013)

Update XML Views - Jixue Liu; Chengfei Liu; Theo Härder; Jeffrey Xu Yu (CoRR, 2013)

On discovery of functional dependencies from data. - Jixue Liu; Feiyue Ye; Jiuyong Li; Junhu Wang (Data Knowl. Eng., 2013)

A general framework for privacy preserving data publishing. - A. H. M. Sarowar Sattar; Jiuyong Li; Xiaofeng Ding 001; Jixue Liu; Millist W. Vincent (Knowl. Based Syst., 2013)

Mining Differential Dependencies: A Subspace Clustering Approach. - Selasi Kwashie; Jixue Liu; Jiuyong Li; Feiyue Ye (ADC, 2014)

Logics for Representing Data Mining Tasks in Inductive Databases. - Hong-Cheu Liu; Millist W. Vincent; Jixue Liu; Jiuyong Li (ADC, 2014)

A Study on the Applications of Emerging Sequential Patterns. - Vincent Mwintieru Nofong; Jixue Liu; Jiuyong Li (ADC, 2014)

Top-k Similarity Matching in Large Graphs with Attributes. - Xiaofeng Ding 001; Jianhong Jia; Jiuyong Li; Jixue Liu; Hai Jin 001 (DASFAA (2), 2014)

An improvement of symbolic aggregate approximation distance measure for time series. - Youqiang Sun; Jiuyong Li; Jixue Liu; Bing-Yu Sun; Christopher W. K. Chow (Neurocomputing, 2014)

Discovering statistically non-redundant subgroups. - Jiuyong Li; Jixue Liu; Hannu Toivonen; Kenji Satou; Youqiang Sun; Bing-Yu Sun (Knowl. Based Syst., 2014)

A probabilistic approach to mitigate composition attacks on privacy in non-coordinated environments. - A. H. M. Sarowar Sattar; Jiuyong Li; Jixue Liu; Raymond Heatherly; Bradley A. Malin (Knowl. Based Syst., 2014)

Methods to Mitigate Risk of Composition Attack in Independent Data Publications. - Jiuyong Li; Sarowar A. Sattar; Muzammil M. Baig; Jixue Liu; Raymond Heatherly; Qiang Tang 001; Bradley A. Malin (Medical Data Privacy Handbook, 2015)

Conditional Differential Dependencies (CDDs). - Selasi Kwashie; Jixue Liu; Jiuyong Li; Feiyue Ye (ADBIS, 2015)

Unifying Spatial, Temporal and Semantic Features for an Effective GPS Trajectory-Based Location Recommendation. - Hamidu Abdel-Fatao; Jiuyong Li; Jixue Liu (ADC, 2015)

Efficient Discovery of Differential Dependencies Through Association Rules Mining. - Selasi Kwashie; Jixue Liu; Jiuyong Li; Feiyue Ye (ADC, 2015)

Efficient Mining of Non-derivable Emerging Patterns. - Vincent Mwintieru Nofong; Jixue Liu; Jiuyong Li (ADC, 2015)

STMM: Semantic and Temporal-Aware Markov Chain Model for Mobility Prediction. - Hamidu Abdel-Fatao; Jiuyong Li; Jixue Liu (ICDS, 2015)

Using causal discovery for feature selection in multivariate numerical time series. - Youqiang Sun; Jiuyong Li; Jixue Liu; Christopher W. K. Chow; Bing-Yu Sun; Rujing Wang (Mach. Learn., 2015)

Technical Correspondence: "Differential Dependencies: Reasoning and Discovery" Revisited. - Millist W. Vincent; Jixue Liu; Hong-Cheu Liu; Sebastian Link (ACM Trans. Database Syst., 2015)

An Effective Spatio-Temporal Approach for Predicting Future Semantic Locations. - Hamidu Abdel-Fatao; Jiuyong Li; Jixue Liu; Ashfaqur Rahman (ADC, 2016)

Detecting signals of detrimental prescribing cascades from social media. - Tao Hoang; Jixue Liu; Nicole Pratt; Vincent W. Zheng; Kevin Chen-Chuan Chang; Elizabeth Roughead; Jiuyong Li (Artif. Intell. Medicine, 2016)

Building Diversified Multiple Trees for Classification in High Dimensional Noise Data. - Jiuyong Li; Lin Liu 003; Jixue Liu; Ryan Green (CoRR, 2016)

A hybrid approach to prevent composition attacks for independent data releases. - Jiuyong Li; Muzammil M. Baig; A. H. M. Sarowar Sattar; Xiaofeng Ding 001; Jixue Liu; Millist W. Vincent (Inf. Sci., 2016)

From Observational Studies to Causal Rule Mining. - Jiuyong Li; Thuc Duy Le; Lin Liu 003; Jixue Liu; Zhou Jin 003; Bing-Yu Sun; Saisai Ma (ACM Trans. Intell. Syst. Technol., 2016)

Carbon: Forecasting Civil Unrest Events by Monitoring News and Social Media. - Wei Kang 004; Jie Chen 004; Jiuyong Li; Jixue Liu; Lin Liu 003; Grant Osborne; Nick Lothian; Brenton Cooper; Terry Moschou; Grant Neale (ADMA, 2017)

An Architecture for Establishing Legal Semantic Workflows in the Context of Integrated Law Enforcement. - Markus Stumptner; Wolfgang Mayer; Georg Grossmann; Jixue Liu; Wenhao Li 006; Pompeu Casanovas; Louis de Koker; Danuta Mendelson; David Watts; Bridget Bainbridge (AICOL, 2017)

Discrimination detection by causal effect estimation. - Jiuyong Li; Jixue Liu; Lin Liu 003; Thuc Duy Le; Saisai Ma; Yizhao Han (IEEE BigData, 2017)

Utility Aware Clustering for Publishing Transactional Data. - Michael Bewong; Jixue Liu; Lin Liu 003; Jiuyong Li (PAKDD (2), 2017)

Can Android VoIP voice conversations be decoded? I can eavesdrop on your Android VoIP communication. - Shasi Pokharel; Kim-Kwang Raymond Choo; Jixue Liu (Concurr. Comput. Pract. Exp., 2017)

Mobile cloud security: An adversary model for lightweight browser security. - Shasi Pokharel; Kim-Kwang Raymond Choo; Jixue Liu (Comput. Stand. Interfaces, 2017)

Building Diversified Multiple Trees for classification in high dimensional noisy biomedical data. - Jiuyong Li; Lin Liu 003; Jixue Liu; Ryan Green (Health Inf. Sci. Syst., 2017)

A revised result on chasing tree patterns under schema graphs. - Junhu Wang; Jeffrey Xu Yu; Jixue Liu; Chaoyi Pang (Inf. Process. Lett., 2017)

Causal Decision Trees. - Jiuyong Li; Saisai Ma; Thuc Duy Le; Lin Liu 003; Jixue Liu (IEEE Trans. Knowl. Data Eng., 2017)

Information Propagation Trees for Protest Event Prediction. - Jeffery Ansah; Wei Kang 004; Lin Liu 003; Jixue Liu; Jiuyong Li (PAKDD (3), 2018)

SensorTree: Bursty Propagation Trees as Sensors for Protest Event Detection. - Jeffery Ansah; Wei Kang 004; Lin Liu 003; Jixue Liu; Jiuyong Li (WISE (1), 2018)

Which Type of Classifier to Use for Networked Data, Connectivity Based or Feature Based? - Zan Zhang 002; Jiuyong Li; Hao Wang 008; Lin Liu 003; Jixue Liu (WISE (1), 2018)

Supervised signal detection for adverse drug reactions in medication dispensing data. - Tao Hoang; Jixue Liu; Elizabeth Roughead; Nicole Pratt; Jiuyong Li (Comput. Methods Programs Biomed., 2018)

FairMod - Making Predictive Models Discrimination Aware. - Jixue Liu; Jiuyong Li; Lin Liu 003; Thuc Duy Le; Feiyue Ye; Gefei Li 001 (CoRR, 2018)

An exploration of algorithmic discrimination in data and classification. - Jixue Liu; Jiuyong Li; Feiyue Ye; Lin Liu 003; Thuc Duy Le; Ping Xiong 005 (CoRR, 2018)

Authenticity and credibility aware detection of adverse drug events from social media. - Tao Hoang; Jixue Liu; Nicole Pratt; Vincent W. Zheng; Kevin Chen-Chuan Chang; Elizabeth Roughead; Jiuyong Li (Int. J. Medical Informatics, 2018)

A Semantics Aware Random Forest for Text Classification. - Md Zahidul Islam 001; Jixue Liu; Jiuyong Li; Lin Liu 003; Wei Kang 004 (CIKM, 2019)

Linking Graph Entities with Multiplicity and Provenance. - Jixue Liu; Selasi Kwashie; Jiuyong Li; Lin Liu 003; Michael Bewong (EYRE@CIKM, 2019)

Semantic Explanations in Ensemble Learning. - Md Zahidul Islam 001; Jixue Liu; Lin Liu 003; Jiuyong Li; Wei Kang 004 (PAKDD (1), 2019)

A relative privacy model for effective privacy preservation in transactional data. - Michael Bewong; Jixue Liu; Lin Liu 003; Jiuyong Li; Kim-Kwang Raymond Choo (Concurr. Comput. Pract. Exp., 2019)

Efficient subgraph search on large anonymized graphs. - Xiaofeng Ding 001; Yangling Ou; Jianhong Jia; Hai Jin 001; Jixue Liu (Concurr. Comput. Pract. Exp., 2019)

Identify treatment effect patterns for personalised decisions. - Jiuyong Li; Saisai Ma; Lin Liu 003; Thuc Duy Le; Jixue Liu; Yizhao Han (CoRR, 2019)

Privacy preserving serial publication of transactional data. - Michael Bewong; Jixue Liu; Lin Liu 003; Jiuyong Li (Inf. Syst., 2019)

On the Expressive Power of Logics on Constraint Databases with Complex Objects. - Hong-Cheu Liu; Jixue Liu (J. Comput. Sci. Technol., 2019)

Certus: An Effective Entity Resolution Approach with Graph Differential Dependencies (GDDs). - Selasi Kwashie; Jixue Liu; Jiuyong Li; Lin Liu 003; Markus Stumptner; Lujing Yang (Proc. VLDB Endow., 2019)

Building Fair Predictive Models. - Jixue Liu; Jiuyong Li; Feiyue Ye; Lin Liu 003; Thuc Duy Le; Ping Xiong 005; Hong-Cheu Liu (Australasian Conference on Artificial Intelligence, 2020)

Intervention Recommendation for Improving Disability Employment. - Ha Xuan Tran; Thuc Duy Le; Jiuyong Li; Lin Liu 003; Jixue Liu; Yanchang Zhao; Tony Waters (IEEE BigData, 2020)

Causal Query in Observational Data with Hidden Variables. - Debo Cheng; Jiuyong Li; Lin Liu 003; Jixue Liu; Kui Yu; Thuc Duy Le (ECAI, 2020)

LoPAD: A Local Prediction Approach to Anomaly Detection. - Sha Lu 001; Lin Liu 003; Jiuyong Li; Thuc Duy Le; Jixue Liu (PAKDD (2), 2020)

Evidence Weighted Tree Ensembles for Text Classification. - Md Zahidul Islam 001; Jixue Liu; Jiuyong Li; Lin Liu 003; Wei Kang 004 (SIGIR, 2020)

Towards precise causal effect estimation from data with hidden variables. - Debo Cheng; Jiuyong Li; Lin Liu 003; Kui Yu; Thuc Duy Le; Jixue Liu (CoRR, 2020)

Sufficient Dimension Reduction for Average Causal Effect Estimation. - Debo Cheng; Jiuyong Li; Lin Liu 003; Jixue Liu (CoRR, 2020)

Assessing the Fairness of Classifiers with Collider Bias. - Zhenlong Xu; Jixue Liu; Debo Cheng; Jiuyong Li; Lin Liu 003; Ke Wang 001 (CoRR, 2020)

Dependency-based Anomaly Detection: Framework, Methods and Benchmark. - Sha Lu 001; Lin Liu 003; Jiuyong Li; Thuc Duy Le; Jixue Liu (CoRR, 2020)

Accurate data-driven prediction does not mean high reproducibility. - Jiuyong Li; Lin Liu 003; Thuc Duy Le; Jixue Liu (Nat. Mach. Intell., 2020)

Leveraging burst in twitter network communities for event detection. - Jeffery Ansah; Lin Liu 003; Wei Kang 004; Jixue Liu; Jiuyong Li (World Wide Web, 2020)

Training Neural Networks with Random Noise Images for Adversarial Robustness. - Ji-Young Park; Lin Liu 003; Jiuyong Li; Jixue Liu (CIKM, 2021)

Divide and Conquer: Targeted Adversary Detection using Proximity and Dependency. - Sha Lu 001; Lin Liu 003; Jiuyong Li; Thuc Duy Le; Jixue Liu (ICBK, 2021)

Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability. - Ha Xuan Tran; Thuc Duy Le; Jiuyong Li; Lin Liu 003; Jixue Liu; Yanchang Zhao; Tony Waters (KDD, 2021)

A general framework for causal classification. - Jiuyong Li; Weijia Zhang 001; Lin Liu 003; Kui Yu; Thuc Duy Le; Jixue Liu (Int. J. Data Sci. Anal., 2021)

Randomize Adversarial Defense in a Light Way. - Ji-Young Park; Lin Liu 003; Jixue Liu; Jiuyong Li (IEEE Big Data, 2022)

Decision Support for Disability Employment using Counterfactual Survival Analysis. - Ha Xuan Tran; Thuc Duy Le; Jiuyong Li; Lin Liu 003; Jixue Liu; Yanchang Zhao; Tony Waters (IEEE Big Data, 2022)

Assessing the Causal Impact of Online Instruction due to COVID-19 on Students' Grades and its aftermath on Grade Prediction Models. - Oscar Blessed Deho; Lin Liu 003; Srecko Joksimovic; Jiuyong Li; Chen Zhan; Jixue Liu (GoodIT, 2022)

Ancestral Instrument Method for Causal Inference without Complete Knowledge. - Debo Cheng; Jiuyong Li; Lin Liu 003; Jiji Zhang; Thuc Duy Le; Jixue Liu (IJCAI, 2022)

What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker? - Ha Xuan Tran; Thuc Duy Le; Jiuyong Li; Lin Liu 003; Jixue Liu; Yanchang Zhao; Tony Waters (KDD, 2022)

Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers. - Ha Xuan Tran; Thuc Duy Le; Jiuyong Li; Lin Liu 003; Jixue Liu; Yanchang Zhao; Tony Waters (PAKDD (3), 2022)

Assessing Classifier Fairness with Collider Bias. - Zhenlong Xu; Ziqi Xu 001; Jixue Liu; Debo Cheng; Jiuyong Li; Lin Liu 003; Ke Wang 001 (PAKDD (2), 2022)

How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics? - Oscar Blessed Deho; Chen Zhan; Jiuyong Li; Jixue Liu; Lin Liu 003; Thuc Duy Le (Br. J. Educ. Technol., 2022)

Ancestral instrument method for causal inference without a causal graph. - Debo Cheng; Jiuyong Li; Lin Liu 003; Jiji Zhang; Thuc Duy Le; Jixue Liu (CoRR, 2022)

Explanatory causal effects for model agnostic explanations. - Jiuyong Li; Ha Xuan Tran; Thuc Duy Le; Lin Liu 003; Kui Yu; Jixue Liu (CoRR, 2022)

Sufficient dimension reduction for average causal effect estimation. - Debo Cheng; Jiuyong Li; Lin Liu 003; Thuc Duy Le; Jixue Liu; Kui Yu (Data Min. Knowl. Discov., 2022)

FastOPM - A practical method for partial match of time series. - Jixue Liu; Jiuyong Li; Lin Liu 003 (Pattern Recognit., 2022)

Investigating the Impact of Using IR Bands on Early Fire Smoke Detection from Landsat Imagery with a Lightweight CNN Model. - Liang Zhao; Jixue Liu; Stefan Peters; Jiuyong Li; Simon Oliver; Norman Mueller (Remote. Sens., 2022)

Applications of Online UV-Vis Spectrophotometer for Drinking Water Quality Monitoring and Process Control: A Review. - Zhining Shi; Christopher W. K. Chow; Rolando Fabris; Jixue Liu; Bo Jin (Sensors, 2022)

Causal Inference with Conditional Instruments Using Deep Generative Models. - Debo Cheng; Ziqi Xu 001; Jiuyong Li; Lin Liu 003; Jixue Liu; Thuc Duy Le (AAAI, 2023)

Disentangled Representation for Causal Mediation Analysis. - Ziqi Xu 001; Debo Cheng; Jiuyong Li; Jixue Liu; Lin Liu 003; Ke Wang 001 (AAAI, 2023)

Causal Disentanglement for Adversarial Defense. - Ji-Young Park; Lin Liu 003; Jixue Liu; Jiuyong Li (AI (1), 2023)

Improve interpretability of Information Bottlenecks for Attribution with Layer-wise Relevance Propagation. - Xiongren Chen; Jiuyong Li; Jixue Liu; Stefan Peters; Lin Liu 003; Thuc Duy Le; Anthony Walsh (IEEE Big Data, 2023)

Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference. - Debo Cheng; Yang Xie; Ziqi Xu 001; Jiuyong Li; Lin Liu 003; Jixue Liu; Yinghao Zhang; Zaiwen Feng (ICDM, 2023)

Stabilising Job Survival Analysis for Disability Employment Services in Unseen Environments. - Ha Xuan Tran; Thuc Duy Le; Jiuyong Li; Lin Liu 003; Xiaomei Li; Jixue Liu; Tony Waters (KDD, 2023)

Assessing the Fairness of Course Success Prediction Models in the Face of (Un)equal Demographic Group Distribution. - Oscar Blessed Deho; Srecko Joksimovic; Lin Liu 003; Jiuyong Li; Chen Zhan; Jixue Liu (L@S, 2023)

Disentangled Representation with Causal Constraints for Counterfactual Fairness. - Ziqi Xu 001; Jixue Liu; Debo Cheng; Jiuyong Li; Lin Liu 003; Ke Wang 001 (PAKDD (1), 2023)

Learning Conditional Instrumental Variable Representation for Causal Effect Estimation. - Debo Cheng; Ziqi Xu 001; Jiuyong Li; Lin Liu 003; Thuc Duy Le; Jixue Liu (ECML/PKDD (1), 2023)

DATM: A Novel Data Agnostic Topic Modeling Technique With Improved Effectiveness for Both Short and Long Text. - Michael Bewong; John Wondoh; Selasi Kwashie; Jixue Liu; Lin Liu 003; Jiuyong Li; Md Zahidul Islam 001; David Kernot (IEEE Access, 2023)

Linking a predictive model to causal effect estimation. - Jiuyong Li; Lin Liu 003; Ziqi Xu 001; Ha Xuan Tran; Thuc Duy Le; Jixue Liu (CoRR, 2023)

Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion. - Ziqi Xu 001; Debo Cheng; Jiuyong Li; Jixue Liu; Lin Liu 003; Kui Yu (CoRR, 2023)

Learning Class-Specific Spectral Patterns to Improve Deep Learning Based Scene-Level Fire Smoke Detection from Multi-Spectral Satellite Imagery. - Liang Zhao; Jixue Liu; Stefan Peters; Jiuyong Li; Norman Mueller; Simon Oliver (CoRR, 2023)

Causal heterogeneity discovery by bottom-up pattern search for personalised decision making. - Jiuyong Li; Lin Liu 003; Shisheng Zhang; Saisai Ma; Thuc Duy Le; Jixue Liu (Appl. Intell., 2023)

Should Learning Analytics Models Include Sensitive Attributes? Explaining the Why. - Oscar Blessed Deho; Srecko Joksimovic; Jiuyong Li; Chen Zhan; Jixue Liu; Lin Liu 003 (IEEE Trans. Learn. Technol., 2023)

Local Search for Efficient Causal Effect Estimation. - Debo Cheng; Jiuyong Li; Lin Liu 003; Jiji Zhang; Jixue Liu; Thuc Duy Le (IEEE Trans. Knowl. Data Eng., 2023)

Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables. - Debo Cheng; Jiuyong Li; Lin Liu 003; Kui Yu; Thuc Duy Le; Jixue Liu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Personalized Interventions to Increase the Employment Success of People With Disability. - Ha Xuan Tran; Thuc Duy Le; Jiuyong Li; Lin Liu 003; Jixue Liu; Yanchang Zhao; Tony Waters (IEEE Trans. Big Data, 2023)

Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. - Debo Cheng; Ziqi Xu 001; Jiuyong Li; Lin Liu 003; Jixue Liu; Wentao Gao; Thuc Duy Le (AAAI, 2024)

Improving Intersectional Group Fairness Using Conditional Generative Adversarial Network and Transfer Learning. - David Quashigah Dzakpasu; Jixue Liu; Jiuyong Li; Lin Liu 003 (AI (1), 2024)

TSI: A Multi-view Representation Learning Approach for Time Series Forecasting. - Wentao Gao; Ziqi Xu 001; Jiuyong Li; Lin Liu 003; Jixue Liu; Thuc Duy Le; Debo Cheng; Yanchang Zhao; Yun Chen 010 (AI (1), 2024)

Integrating Fair Representation Learning with Fairness Regularization for Intersectional Group Fairness. - David Quashigah Dzakpasu; Jixue Liu; Jiuyong Li; Lin Liu 003 (CIKM, 2024)

Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. - Debo Cheng; Ziqi Xu 001; Jiuyong Li; Lin Liu 003; Jixue Liu; Thuc Duy Le (ICLR, 2024)

Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. - Ziqi Xu 001; Debo Cheng; Jiuyong Li; Jixue Liu; Lin Liu 003; Kui Yu (ICLR, 2024)

A transformer boosted UNet for smoke segmentation in complex backgrounds in multispectral LandSat imagery. - Jixue Liu; Jiuyong Li; Stefan Peters; Liang Zhao (CoRR, 2024)

A Deconfounding Approach to Climate Model Bias Correction. - Wentao Gao; Jiuyong Li; Debo Cheng; Lin Liu 003; Jixue Liu; Thuc Duy Le; Xiaojing Du; Xiongren Chen; Yanchang Zhao; Yun Chen 010 (CoRR, 2024)

Linking Model Intervention to Causal Interpretation in Model Explanation. - Debo Cheng; Ziqi Xu 001; Jiuyong Li; Lin Liu 003; Kui Yu; Thuc Duy Le; Jixue Liu (CoRR, 2024)

Onboard AI for Fire Smoke Detection Using Hyperspectral Imagery: An Emulation for the Upcoming Kanyini Hyperscout-2 Mission. - Sha Lu 001; Eriita G. Jones; Liang Zhao; Yu Sun; A. Kai Qin; Jixue Liu; Jiuyong Li; Prabath Abeysekara; Norman Mueller; Simon Oliver; Jim O'Hehir; Stefan Peters (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

When the Past != The Future: Assessing the Impact of Dataset Drift on the Fairness of Learning Analytics Models. - Oscar Blessed Deho; Lin Liu 003; Jiuyong Li; Jixue Liu; Chen Zhan; Srecko Joksimovic (IEEE Trans. Learn. Technol., 2024)

Fairmod: making predictions fair in multiple protected attributes. - Jixue Liu; Jiuyong Li; Lin Liu 003; Thuc Duy Le; Feiyue Ye; Gefei Li 001 (Knowl. Inf. Syst., 2024)

Using Surrogate Parameters to Enhance Monitoring of Community Wastewater Management System Performance for Sustainable Operations. - Zhining Shi; Christopher W. K. Chow; Jing Gao 001; Ke Xing; Jixue Liu; Jiuyong Li (Sensors, 2024)

Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey. - Debo Cheng; Jiuyong Li; Lin Liu 003; Jixue Liu; Thuc Duy Le (ACM Comput. Surv., 2024)

Detecting Coseismic Landslides in GEE Using Machine Learning Algorithms on Combined Optical and Radar Imagery. - Stefan Peters; Jixue Liu; Gunnar Keppel; Anna Wendleder; Peiliang Xu (Remote. Sens., 2024)

Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data. - Debo Cheng; Jiuyong Li; Lin Liu 003; Kui Yu; Thuc Duy Le; Jixue Liu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Diffusion Models for Attribution. - Xiongren Chen; Jiuyong Li; Jixue Liu; Lin Liu 003; Stefan Peters; Thuc Duy Le; Wentao Gao; Xiaojing Du; Anthony Walsh (AAAI, 2025)

Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders. - Haolin Wang 003; Lin Liu 003; Jiuyong Li; Ziqi Xu 001; Jixue Liu; Zehong Cao; Debo Cheng (WWW, 2025)

Is it still fair? A comparative evaluation of fairness algorithms through the lens of covariate drift. - Oscar Blessed Deho; Michael Bewong; Selasi Kwashie; Jiuyong Li; Jixue Liu; Lin Liu 003; Srecko Joksimovic (Mach. Learn., 2025)

Disentangled Representation Learning for Causal Inference With Instruments. - Debo Cheng; Jiuyong Li; Lin Liu 003; Ziqi Xu 001; Weijia Zhang 001; Jixue Liu; Thuc Duy Le (IEEE Trans. Neural Networks Learn. Syst., 2025)

Dependency-based anomaly detection: A general framework and comprehensive evaluation. - Sha Lu 001; Lin Liu 003; Kui Yu; Thuc Duy Le; Jixue Liu; Jiuyong Li (Expert Syst. Appl., 2026)