An Adaptive Method of Numerical Attribute Merging for Quantitative Association Rule Mining. - Jiuyong Li; Hong Shen 001; Rodney W. Topor (ICSC, 1999)

Mining Significant Association Rules (Short Version). - Jiuyong Li; Hong Shen; Paul Pritchard (PDPTA, 1999)

Knowledge Network Based Association Discovery (Preliminary Version). - Jiuyong Li; Hong Shen; Paul Pritchard (PDPTA, 1999)

Mining the Smallest Association Rule Set for Predictions. - Jiuyong Li; Hong Shen 001; Rodney W. Topor (ICDM, 2001)

Construct robust rule sets for classification. - Jiuyong Li; Rodney W. Topor; Hong Shen 001 (KDD, 2002)

Mining the optimal class association rule set. - Jiuyong Li; Hong Shen 001; Rodney W. Topor (Knowl. Based Syst., 2002)

Association Rule Discovery with Unbalanced Class Distributions. - Lifang Gu; Jiuyong Li; Hongxing He; Graham J. Williams; Simon Hawkins; Chris Kelman (Australian Conference on Artificial Intelligence, 2003)

Direct Interesting Rule Generation. - Jiuyong Li; Yanchun Zhang (ICDM, 2003)

Mining Informative Rule Set for Prediction. - Jiuyong Li; Hong Shen 001; Rodney W. Topor (J. Intell. Inf. Syst., 2004)

Using Association Rules to Make Rule-based Classifiers Robust. - Hong Hu; Jiuyong Li (ADC, 2005)

Finding Similar Patterns in Microarray Data. - Xiangsheng Chen; Jiuyong Li; Grant Daggard; Xiaodi Huang (Australian Conference on Artificial Intelligence, 2005)

Mining risk patterns in medical data. - Jiuyong Li; Ada Wai-Chee Fu; Hongxing He; Jie Chen 004; Huidong Jin 001; Damien McAullay; Graham J. Williams; Ross Sparks; Chris Kelman (KDD, 2005)

Representing Association Classification Rules Mined from Health Data. - Jie Chen 004; Hongxing He; Jiuyong Li; Huidong Jin 001; Damien McAullay; Graham J. Williams; Ross Sparks; Chris Kelman (KES (3), 2005)

A framework for role-based group deligation in distributed environments. - Hua Wang 002; Jiuyong Li; Ron Addie; Stijn Dekeyser; Richard Watson 001 (ACSC, 2006)

Analysis of Breast Feeding Data Using Data Mining Methods. - Hongxing He; Huidong Jin 001; Jie Chen 004; Damien McAullay; Jiuyong Li; Tony Fallon (AusDM, 2006)

A Comparative Study of Classification Methods For Microarray Data Analysis. - Hong Hu; Jiuyong Li; Ashley W. Plank; Hua Wang 002; Grant Daggard (AusDM, 2006)

A Framework of Combining Markov Model With Association Rules for Predicting Web Page Accesses. - Faten Khalil; Jiuyong Li; Hua Wang 002 (AusDM, 2006)

Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures. - Jiuyong Li; Raymond Chi-Wing Wong; Ada Wai-Chee Fu; Jian Pei 001 (DaWaK, 2006)

(alpha, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing. - Raymond Chi-Wing Wong; Jiuyong Li; Ada Wai-Chee Fu; Ke Wang 001 (KDD, 2006)

Combined Gene Selection Methods for Microarray Data Analysis. - Hong Hu; Jiuyong Li; Hua Wang 002; Grant Daggard (KES (1), 2006)

Classification Using Multiple and Negative Target Rules. - Jiuyong Li; Jason Jones (KES (1), 2006)

Using multiple and negative target rules to make classifiers more understandable. - Jiuyong Li; Jason Jones (Knowl. Based Syst., 2006)

On Optimal Rule Discovery. - Jiuyong Li (IEEE Trans. Knowl. Data Eng., 2006)

Robust Rule-Based Prediction. - Jiuyong Li (IEEE Trans. Knowl. Data Eng., 2006)

A Fast Algorithm for Finding Correlation Clusters in Noise Data. - Jiuyong Li; Xiaodi Huang; Clinton Selke; Jianming Yong (PAKDD, 2007)

(p+, α)-sensitive k-anonymity: A new enhanced privacy protection model. - Xiaoxun Sun; Hua Wang 002; Jiuyong Li; Traian Marius Truta; Ping Li (CIT, 2008)

Integrating recommendation models for improved web page prediction accuracy. - Faten Khalil; Jiuyong Li; Hua Wang 002 (ACSC, 2008)

On the Complexity of Restricted k-anonymity Problem. - Xiaoxun Sun; Hua Wang 002; Jiuyong Li (APWeb, 2008)

L-Diversity Based Dynamic Update for Large Time-Evolving Microdata. - Xiaoxun Sun; Hua Wang 002; Jiuyong Li (Australasian Conference on Artificial Intelligence, 2008)

Priority Driven K-Anonymisation for Privacy Protection. - Xiaoxun Sun; Hua Wang 002; Jiuyong Li (AusDM, 2008)

Authorization approaches for advanced permission-role assignments. - Hua Wang 002; Jianming Yong; Jiuyong Li; Min Peng 002 (CSCWD, 2008)

Portable devices of security and privacy preservation for e-learning. - Jianming Yong; Jiuyong Li; Hua Wang 002 (CSCWD, 2008)

A Role-Based Framework for Multi-agent Teaming. - Jinsong Leng; Jiuyong Li; Lakhmi C. Jain (KES (3), 2008)

A role-oriented BDI framework for real-time multiagent teaming. - Jinsong Leng; Jiuyong Li; Lakhmi C. Jain (Intell. Decis. Technol., 2008)

Privacy preserving serial data publishing by role composition. - Yingyi Bu; Ada Wai-Chee Fu; Raymond Chi-Wing Wong; Lei Chen 002; Jiuyong Li (Proc. VLDB Endow., 2008)

Enhanced P-Sensitive K-Anonymity Models for Privacy Preserving Data Publishing. - Xiaoxun Sun; Hua Wang 002; Jiuyong Li; Traian Marius Truta (Trans. Data Priv., 2008)

Anonymization by Local Recoding in Data with Attribute Hierarchical Taxonomies. - Jiuyong Li; Raymond Chi-Wing Wong; Ada Wai-Chee Fu; Jian Pei 001 (IEEE Trans. Knowl. Data Eng., 2008)

Microdata Protection Through Approximate Microaggregation. - Xiaoxun Sun; Hua Wang 002; Jiuyong Li (ACSC, 2009)

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

Building a Generic Graph-based Descriptor Set for use in Drug Discovery. - Phillip Lock; Nicolas Le Mercier; Jiuyong Li; Markus Stumptner (AusDM, 2009)

Injecting purpose and trust into data anonymisation. - Xiaoxun Sun; Hua Wang 002; Jiuyong Li (CIKM, 2009)

Achieving P-Sensitive K-Anonymity via Anatomy. - Xiaoxun Sun; Hua Wang 002; Jiuyong Li; David Ross (ICEBE, 2009)

Finding Irredundant Contained Rewritings of Tree Pattern Queries Using Views. - Junhu Wang; Kewen Wang 001; Jiuyong Li (APWeb/WAIM, 2009)

Efficient discovery of risk patterns in medical data. - Jiuyong Li; Ada Wai-Chee Fu; Paul Fahey (Artif. Intell. Medicine, 2009)

Exploring complex miRNA-mRNA interactions with Bayesian networks by splitting-averaging strategy. - Bing Liu 002; Jiuyong Li; Anna Tsykin; Lin Liu 003; Arti B. Gaur; Gregory J. Goodall (BMC Bioinform., 2009)

An integrated model for next page access prediction. - Faten Khalil; Jiuyong Li; Hua Wang 002 (Int. J. Knowl. Web Intell., 2009)

Discovery of functional miRNA-mRNA regulatory modules with computational methods. - Bing Liu 002; Jiuyong Li; Anna Tsykin (J. Biomed. Informatics, 2009)

(alpha, k)-anonymous data publishing. - Raymond Chi-Wing Wong; Jiuyong Li; Ada Wai-Chee Fu; Ke Wang 001 (J. Intell. Inf. Syst., 2009)

On the Effectiveness of Gene Selection for Microarray Classification Methods. - Zhongwei Zhang; Jiuyong Li; Hong Hu; Hong Zhou 005 (ACIIDS (2), 2010)

Spectral representation of DNA sequences and its application. - Zhujin Zhang; Lin Liu 003; Jiuyong Li; Zheng Zhang (BIC-TA, 2010)

Satisfying Privacy Requirements: One Step before Anonymization. - Xiaoxun Sun; Hua Wang 002; Jiuyong Li (PAKDD (1), 2010)

Identifying functional miRNA-mRNA regulatory modules with correspondence latent dirichlet allocation. - Bing Liu 002; Lin Liu 003; Anna Tsykin; Gregory J. Goodall; Jeffrey E. Green; Min Zhu; Chang-Hee Kim; Jiuyong Li (Bioinform., 2010)

Kernel Discriminant Learning for Ordinal Regression. - Bing-Yu Sun; Jiuyong Li; Desheng Dash Wu; Xiaoming Zhang; Wenbo Li 004 (IEEE Trans. Knowl. Data Eng., 2010)

Feature fusion using locally linear embedding for classification. - Bing-Yu Sun; Xiaoming Zhang; Jiuyong Li; Xue-Min Mao (IEEE Trans. Neural Networks, 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)

A Role-Based Cognitive Architecture for Multi-Agent Teaming. - Jinsong Leng; Chee Peng Lim; Jiuyong Li; Dongguang Li; Lakhmi C. Jain (Agent and Multi-agent Technology for Internet and Enterprise Systems, 2010)

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

Injecting purpose and trust into data anonymisation. - Xiaoxun Sun; Hua Wang 002; Jiuyong Li; Yanchun Zhang (Comput. Secur., 2011)

Publishing anonymous survey rating data. - Xiaoxun Sun; Hua Wang 002; Jiuyong Li; Jian Pei 001 (Data Min. Knowl. Discov., 2011)

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

ORPSW: a new classifier for gene expression data based on optimal risk and preventive patterns. - Junpeng Zhang 001; Jianfeng He 001; Lei Ma 010; Jiuyong Li (J. Comput., 2011)

Combined Feature Selection and Cancer Prognosis Using Support Vector Machine Regression. - Bing-Yu Sun; Zhi-Hua Zhu; Jiuyong Li; Bin Linghu (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Validating Privacy Requirements in Large Survey Rating Data. - Xiaoxun Sun; Hua Wang 002; Jiuyong Li (Next Generation Data Technologies for Collective Computational Intelligence, 2011)

A Study of the Single Point Mutation Loci in the Hepatitis B Virus Sequences via Optimal Risk and Preventive Sets with Weights. - Qi Zhang; Junpeng Zhang 001; Jianmei Gao; Jianfeng He 001; Xinmin Yan; Lei Ma 010; Xianwen Zhang; Jiuyong Li (APWeb, 2012)

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

Discovery of Causal Rules Using Partial Association. - Zhou Jin 003; Jiuyong Li; Lin Liu 003; Thuc Duy Le; Bing-Yu Sun; Rujing Wang (ICDM, 2012)

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

Inferring functional miRNA-mRNA regulatory modules in epithelial-mesenchymal transition with a probabilistic topic model. - Junpeng Zhang 001; Bing Liu 002; Jianfeng He 001; Lei Ma 010; Jiuyong Li (Comput. Biol. Medicine, 2012)

Satisfying Privacy Requirements Before Data Anonymization. - Xiaoxun Sun; Hua Wang 002; Jiuyong Li; Yanchun Zhang (Comput. J., 2012)

An approximate microaggregation approach for microdata protection. - Xiaoxun Sun; Hua Wang 002; Jiuyong Li; Yanchun Zhang (Expert Syst. Appl., 2012)

IMPACT: A Novel Clustering Algorithm based on Attraction. - Vu Anh Tran; José Carlos Clemente; Duc Thuan Nguyen; Jiuyong Li; Xuan Tho Dang; Thi Tu Kien Le; Thi Lan Anh Nguyen; Thammakorn Saethang; Mamoru Kubo; Yoichi Yamada; Kenji Satou (J. Comput., 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)

From Association Analysis to Causal Discovery. - Jiuyong Li (MLSDA@AUS-AI, 2013)

Efficient discovery of de-identification policy options through a risk-utility frontier. - Weiyi Xia; Raymond Heatherly; Xiaofeng Ding 001; Jiuyong Li; Bradley A. Malin (CODASPY, 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)

Inferring microRNA-mRNA causal regulatory relationships from expression data. - Thuc Duy Le; Lin Liu 003; Anna Tsykin; Gregory J. Goodall; Bing Liu 002; Bing-Yu Sun; Jiuyong Li (Bioinform., 2013)

Inferring microRNA and transcription factor regulatory networks in heterogeneous data. - Thuc Duy Le; Lin Liu 003; Bing Liu 002; Anna Tsykin; Gregory J. Goodall; Kenji Satou; Jiuyong Li (BMC Bioinform., 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)

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)

Discovering Collective Group Relationships. - S. M. Masud Karim; Lin Liu 003; Jiuyong Li (ADC, 2014)

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)

Identifying miRNAs, targets and functions. - Bing Liu 002; Jiuyong Li; Murray J. Cairns (Briefings Bioinform., 2014)

Inferring condition-specific miRNA activity from matched miRNA and mRNA expression data. - Junpeng Zhang 001; Thuc Duy Le; Lin Liu 003; Bing Liu 002; Jianfeng He 001; Gregory J. Goodall; Jiuyong Li (Bioinform., 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)

Identifying direct miRNA-mRNA causal regulatory relationships in heterogeneous data. - Junpeng Zhang 001; Thuc Duy Le; Lin Liu 003; Bing Liu 002; Jianfeng He 001; Gregory J. Goodall; Jiuyong Li (J. Biomed. Informatics, 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)

Secure Outsourced Frequent Pattern Mining by Fully Homomorphic Encryption. - Junqiang Liu; Jiuyong Li; Shijian Xu; Benjamin C. M. Fung (DaWaK, 2015)

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

From miRNA regulation to miRNA-TF co-regulation: computational approaches and challenges. - Thuc Duy Le; Lin Liu 003; Junpeng Zhang 001; Bing Liu 002; Jiuyong Li (Briefings Bioinform., 2015)

ParallelPC: an R package for efficient constraint based causal exploration. - Thuc Duy Le; Tao Hoang; Jiuyong Li; Lin Liu 003; Shu Hu 001 (CoRR, 2015)

A fast PC algorithm for high dimensional causal discovery with multi-core PCs. - Thuc Duy Le; Tao Hoang; Jiuyong Li; Lin Liu 003; Huawen Liu (CoRR, 2015)

Mining Combined Causes. - Saisai Ma; Jiuyong Li; Lin Liu 003; Thuc Duy Le (CoRR, 2015)

R-U policy frontiers for health data de-identification. - Weiyi Xia; Raymond Heatherly; Xiaofeng Ding 001; Jiuyong Li; Bradley A. Malin (J. Am. Medical Informatics Assoc., 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)

Constructing and Combining Orthogonal Projection Vectors for Ordinal Regression. - Bing-Yu Sun; Hailei Wang; Wenbo Li 004; Hui-Jing Wang; Jiuyong Li; Zhiqiang Du (Neural Process. Lett., 2015)

Practical Approaches to Causal Relationship Exploration - Jiuyong Li; Lin Liu 003; Thuc Duy Le (Springer, 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)

Identification of miRNA-mRNA regulatory modules by exploring collective group relationships. - S. M. Masud Karim; Lin Liu 003; Thuc Duy Le; Jiuyong Li (BMC Genom., 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)

Mining combined causes in large data sets. - Saisai Ma; Jiuyong Li; Lin Liu 003; Thuc Duy Le (Knowl. Based Syst., 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)

Preface to the ACM TIST Special Issue on Causal Discovery and Inference. - Kun Zhang 001; Jiuyong Li; Elias Bareinboim; Bernhard Schölkopf; Judea Pearl (ACM Trans. Intell. Syst. Technol., 2016)

Access Time Oracle for Planar Graphs. - Ke Deng; Jianxin Li 001; Chaoyi Pang; Jiuyong Li; Xiaofang Zhou 001 (IEEE Trans. Knowl. Data Eng., 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)

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

Identifying microRNA targets in epithelial-mesenchymal transition using joint-intervention causal inference. - Thuc Duy Le; Junpeng Zhang 001; Lin Liu 003; Buu Minh Thanh Truong; Shu Hu 001; Taosheng Xu; Jiuyong Li (CSBio, 2017)

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

Beyond Understanding and Prediction: Data Mining for Action. - Jiuyong Li (WWW (Companion Volume), 2017)

Computational methods for identifying miRNA sponge interactions. - Thuc Duy Le; Junpeng Zhang 001; Lin Liu 003; Jiuyong Li (Briefings Bioinform., 2017)

CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization. - Taosheng Xu; Thuc Duy Le; Lin Liu 003; Ning Su; Rujing Wang; Bing-Yu Sun; Antonio Colaprico; Gianluca Bontempi; Jiuyong Li (Bioinform., 2017)

Mining heterogeneous causal effects for personalized cancer treatment. - Weijia Zhang 001; Thuc Duy Le; Lin Liu 003; Zhi-Hua Zhou; Jiuyong Li (Bioinform., 2017)

Identifying miRNA sponge modules using biclustering and regulatory scores. - Junpeng Zhang 001; Thuc Duy Le; Lin Liu 003; Jiuyong Li (BMC Bioinform., 2017)

Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer. - Junpeng Zhang 001; Thuc Duy Le; Lin Liu 003; Jiuyong Li (BMC Bioinform., 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)

Guest editorial: special issue on causal discovery. - Jiuyong Li; Kun Zhang 001; Elias Bareinboim; Lin Liu 003 (Int. J. Data Sci. Anal., 2017)

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

Nonparametric Sparse Matrix Decomposition for Cross-View Dimensionality Reduction. - Huawen Liu; Lin Liu 003; Thuc Duy Le; Ivan Lee 001; Shiliang Sun; Jiuyong Li (IEEE Trans. Multim., 2017)

Effective Outlier Detection based on Bayesian Network and Proximity. - Sha Lu 001; Lin Liu 003; Jiuyong Li; Thuc Duy Le (IEEE BigData, 2018)

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

ParallelPC: An R Package for Efficient Causal Exploration in Genomic Data. - Thuc Duy Le; Taosheng Xu; Lin Liu 003; Hu Shu; Tao Hoang; Jiuyong Li (PAKDD (Workshops), 2018)

Manipulating Visibility of Political and Apolitical Threads on Reddit via Score Boosting. - Mark J. Carman; Mark Koerber; Jiuyong Li; Kim-Kwang Raymond Choo; Helen Ashman (TrustCom/BigDataSE, 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)

LncmiRSRN: identification and analysis of long non-coding RNA related miRNA sponge regulatory network in human cancer. - Junpeng Zhang 001; Lin Liu 003; Jiuyong Li; Thuc Duy Le (Bioinform., 2018)

miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase. - Taosheng Xu; Ning Su; Lin Liu 003; Junpeng Zhang 001; Hongqiang Wang; Weijia Zhang 001; Jie Gui; Kui Yu; Jiuyong Li; Thuc Duy Le (BMC Bioinform., 2018)

Estimating heterogeneous treatment effect by balancing heterogeneity and fitness. - Weijia Zhang 001; Thuc Duy Le; Lin Liu 003; Jiuyong Li (BMC Bioinform., 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)

Discovering Markov Blanket from Multiple interventional Datasets. - Kui Yu; Lin Liu 003; Jiuyong Li (CoRR, 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)

Guest Editorial: Special Issue on Causal Discovery 2017. - Lin Liu 003; Jiuyong Li; Kun Zhang 001; Emre Kiciman; Negar Kiyavash (Int. J. Data Sci. Anal., 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)

Multi-label relational classification via node and label correlation. - Zan Zhang 002; Hao Wang 008; Lin Liu 003; Jiuyong Li (Neurocomputing, 2018)

Opportunistic mining of top-n high utility patterns. - Junqiang Liu; Xingxing Zhang; Benjamin C. M. Fung; Jiuyong Li; Farkhund Iqbal (Inf. Sci., 2018)

A data-driven method to detect adverse drug events from prescription data. - Chen Zhan; Elizabeth Roughead; Lin Liu 003; Nicole Pratt; Jiuyong Li (J. Biomed. Informatics, 2018)

Predicting academic performance by considering student heterogeneity. - Sumyea Helal; Jiuyong Li; Lin Liu 003; Esmaeil Ebrahimie; Shane Dawson; Duncan J. Murray; Qi Long (Knowl. Based Syst., 2018)

Collective behavior learning by differentiating personal preference from peer influence. - Zan Zhang 002; Lin Liu 003; Hao Wang 008; Jiuyong Li; Daning Hu; Jiaqi Yan; René Algesheimer; Markus Meierer (Knowl. Based Syst., 2018)

Mining Markov Blankets Without Causal Sufficiency. - Kui Yu; Lin Liu 003; Jiuyong Li; Huanhuan Chen (IEEE Trans. Neural Networks Learn. Syst., 2018)

Efficient Outlier Detection for High-Dimensional Data. - Huawen Liu; Xuelong Li 001; Jiuyong Li; Shichao Zhang 001 (IEEE Trans. Syst. Man Cybern. Syst., 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)

Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery. - Thuc Duy Le; Jiuyong Li; Kun Zhang 001; Emre Kiciman; Peng Cui 001; Aapo Hyvärinen (CD@KDD, 2019)

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

A Graph is Worth a Thousand Words: Telling Event Stories using Timeline Summarization Graphs. - Jeffery Ansah; Lin Liu 003; Wei Kang 004; Selasi Kwashie; Jixue Li; Jiuyong Li (WWW, 2019)

Inferring and analyzing module-specific lncRNA-mRNA causal regulatory networks in human cancer. - Junpeng Zhang 001; Thuc Duy Le; Lin Liu 003; Jiuyong Li (Briefings Bioinform., 2019)

Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal prediction. - Vu Viet Hoang Pham; Junpeng Zhang 001; Lin Liu 003; Buu Minh Thanh Truong; Taosheng Xu; Trung T. Nguyen; Jiuyong Li; Thuc Duy Le (BMC Bioinform., 2019)

miRspongeR: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules. - Junpeng Zhang 001; Lin Liu 003; Taosheng Xu; Yong Xie; Chunwen Zhao; Jiuyong Li; Thuc Duy Le (BMC Bioinform., 2019)

Identifying miRNA synergism using multiple-intervention causal inference. - Junpeng Zhang 001; Vu Viet Hoang Pham; Lin Liu 003; Taosheng Xu; Buu Minh Thanh Truong; Jiuyong Li; Nini Rao; Thuc Duy Le (BMC Bioinform., 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)

Distributionally Robust Multi-instance Learning with Stable Instances. - Weijia Zhang 001; Jiuyong Li; Lin Liu 003 (CoRR, 2019)

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

Discovering context specific causal relationships. - Saisai Ma; Jiuyong Li; Lin Liu 003; Thuc Duy Le (Intell. Data Anal., 2019)

Identifying key factors of student academic performance by subgroup discovery. - Sumyea Helal; Jiuyong Li; Lin Liu 003; Esmaeil Ebrahimie; Shane Dawson; Duncan J. Murray (Int. J. Data Sci. Anal., 2019)

Data-driven discovery of causal interactions. - Saisai Ma; Lin Liu 003; Jiuyong Li; Thuc Duy Le (Int. J. Data Sci. Anal., 2019)

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

CBNA: A control theory based method for identifying coding and non-coding cancer drivers. - Vu Viet Hoang Pham; Lin Liu 003; Cameron Bracken; Gregory J. Goodall; Qi Long; Jiuyong Li; Thuc Duy Le (PLoS Comput. Biol., 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)

A Fast PC Algorithm for High Dimensional Causal Discovery with Multi-Core PCs. - Thuc Duy Le; Tao Hoang; Jiuyong Li; Lin Liu 003; Huawen Liu; Shu Hu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Introduction to the Special Section on Advances in Causal Discovery and Inference. - Jiuyong Li; Kun Zhang 001; Emre Kiciman; Peng Cui 001 (ACM Trans. Intell. Syst. Technol., 2019)

Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data. - Junpeng Zhang 001; Thin Nguyen; Buu Minh Thanh Truong; Lin Liu 003; Jiuyong Li; Thuc Duy Le (ADMA, 2020)

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)

Robust Multi-Instance Learning with Stable Instances. - Weijia Zhang 001; Lin Liu 003; Jiuyong Li (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)

Detecting potential signals of adverse drug events from prescription data. - Chen Zhan; Elizabeth Roughead; Lin Liu 003; Nicole Pratt; Jiuyong Li (Artif. Intell. Medicine, 2020)

DriverGroup: a novel method for identifying driver gene groups. - Vu Viet Hoang Pham; Lin Liu 003; Cameron Bracken; Gregory J. Goodall; Jiuyong Li; Thuc Duy Le (Bioinform., 2020)

Correction to: Identifying miRNA synergism using multiple-intervention causal inference. - Junpeng Zhang 001; Vu Viet Hoang Pham; Lin Liu 003; Taosheng Xu; Buu Minh Thanh Truong; Jiuyong Li; Nini Rao; Thuc Duy Le (BMC Bioinform., 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)

Computational methods for cancer driver discovery: A survey. - Vu Viet Hoang Pham; Lin Liu 003; Cameron Bracken; Gregory J. Goodall; Jiuyong Li; Thuc Duy Le (CoRR, 2020)

A unified survey on treatment effect heterogeneity modeling and uplift modeling. - Weijia Zhang 001; Jiuyong Li; Lin Liu 003 (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)

Detecting high-quality signals of adverse drug-drug interactions from spontaneous reporting data. - Chen Zhan; Elizabeth Roughead; Lin Liu 003; Nicole Pratt; Jiuyong Li (J. Biomed. Informatics, 2020)

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

Multi-Source Causal Feature Selection. - Kui Yu; Lin Liu 003; Jiuyong Li; Wei Ding 003; Thuc Duy Le (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

A novel single-cell based method for breast cancer prognosis. - Xiaomei Li; Lin Liu 003; Gregory J. Goodall; Andreas W. Schreiber; Taosheng Xu; Jiuyong Li; Thuc Duy Le (PLoS Comput. Biol., 2020)

LMSM: A modular approach for identifying lncRNA related miRNA sponge modules in breast cancer. - Junpeng Zhang 001; Taosheng Xu; Lin Liu 003; Wu Zhang; Chunwen Zhao; Sijing Li; Jiuyong Li; Nini Rao; Thuc Duy Le (PLoS Comput. Biol., 2020)

Learning Markov Blankets From Multiple Interventional Data Sets. - Kui Yu; Lin Liu 003; Jiuyong Li (IEEE Trans. Neural Networks Learn. Syst., 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)

Treatment Effect Estimation with Disentangled Latent Factors. - Weijia Zhang 001; Lin Liu 003; Jiuyong Li (AAAI, 2021)

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)

Message from the IEEE SmartData 2021 General Chairs: iThings-GreenCom-CPSCom-SmartData-Cybermatics 2021. - Jiuyong Li; Aniello Castiglione (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2021)

Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery. - Thuc Duy Le; Jiuyong Li; Gregory F. Cooper; Sofia Triantafyllou; Elias Bareinboim; Huan Liu 001; Negar Kiyavash (CD@KDD, 2021)

The KDD 2021 Workshop on Causal Discovery (CD2021). - Thuc Duy Le; Jiuyong Li; Gregory F. Cooper; Sofia Triantafillou; Elias Bareinboim; Huan Liu 001; Negar Kiyavash (KDD, 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)

The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge. - Vu Viet Hoang Pham; Xiaomei Li; Buu Minh Thanh Truong; Thin Nguyen; Lin Liu 003; Jiuyong Li; Thuc Duy Le (Briefings Bioinform., 2021)

A pseudotemporal causality approach to identifying miRNA-mRNA interactions during biological processes. - Andres M. Cifuentes-Bernal; Vu Viet Hoang Pham; Xiaomei Li; Lin Liu 003; Jiuyong Li; Thuc Duy Le (Bioinform., 2021)

pDriver: a novel method for unravelling personalized coding and miRNA cancer drivers. - Vu Viet Hoang Pham; Lin Liu 003; Cameron Bracken; Thin Nguyen; Gregory J. Goodall; Jiuyong Li; Thuc Duy Le (Bioinform., 2021)

Uncovering the roles of microRNAs/lncRNAs in characterising breast cancer subtypes and prognosis. - Xiaomei Li; Buu Minh Thanh Truong; Taosheng Xu; Lin Liu 003; Jiuyong Li; Thuc Duy Le (BMC Bioinform., 2021)

Exploring cell-specific miRNA regulation with single-cell miRNA-mRNA co-sequencing data. - Junpeng Zhang 001; Lin Liu 003; Taosheng Xu; Wu Zhang; Chunwen Zhao; Sijing Li; Jiuyong Li; Nini Rao; Thuc Duy Le (BMC Bioinform., 2021)

Any Part of Bayesian Network Structure Learning. - Zhaolong Ling; Kui Yu; Hao Wang 008; Lin Liu 003; Jiuyong Li (CoRR, 2021)

Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning. - Kui Yu; Zhaolong Ling; Lin Liu 003; Hao Wang 008; Jiuyong Li (CoRR, 2021)

Causality-based Feature Selection: Methods and Evaluations. - Kui Yu; Xianjie Guo; Lin Liu 003; Jiuyong Li; Hao Wang 008; Zhaolong Ling; Xindong Wu 001 (ACM Comput. Surv., 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)

A Unified View of Causal and Non-causal Feature Selection. - Kui Yu; Lin Liu 003; Jiuyong Li (ACM Trans. Knowl. Discov. Data, 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)

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling. - Weijia Zhang 001; Jiuyong Li; Lin Liu 003 (ACM Comput. Surv., 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)

Causal learner: A toolbox for causal structure and Markov blanket learning. - Zhaolong Ling; Kui Yu; Yiwen Zhang 001; Lin Liu 003; Jiuyong Li (Pattern Recognit. Lett., 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)

PSL: An Algorithm for Partial Bayesian Network Structure Learning. - Zhaolong Ling; Kui Yu; Lin Liu 003; Jiuyong Li; Yiwen Zhang 001; Xindong Wu 001 (ACM Trans. Knowl. Discov. Data, 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)

Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision. - Thuc Duy Le; Jiuyong Li; Robert Osazuwa Ness; Sofia Triantafillou; Shohei Shimizu; Peng Cui 001; Kun Kuang; Jian Pei 001; Fei Wang 001; Mattia Prosperi (CDPD, 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)

A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation. - Tingting Xu; Yinghao Zhang; Jiuyong Li; Lin Liu 003; Ziqi Xu 001; Debo Cheng; Zaiwen Feng (WISE, 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)

Integrating Global and Local Feature Selection for Multi-Label Learning. - Zan Zhang 002; Lin Liu 003; Jiuyong Li; Xindong Wu 001 (ACM Trans. Knowl. Discov. Data, 2023)

Learning Causal Representations for Robust Domain Adaptation. - Shuai Yang 003; Kui Yu; Fuyuan Cao; Lin Liu 003; Hao Wang 008; Jiuyong Li (IEEE Trans. Knowl. Data Eng., 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)

Multilabel Feature Selection: A Local Causal Structure Learning Approach. - Kui Yu; Mingzhu Cai; Xingyu Wu; Lin Liu 003; Jiuyong Li (IEEE Trans. Neural Networks Learn. Syst., 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)

Pan-cancer characterization of ncRNA synergistic competition uncovers potential carcinogenic biomarkers. - Junpeng Zhang 001; Lin Liu 003; Xuemei Wei; Chunwen Zhao; Sijing Li; Jiuyong Li; Thuc Duy Le (PLoS Comput. Biol., 2023)

Adaptive Skeleton Construction for Accurate DAG Learning. - Xianjie Guo; Kui Yu; Lin Liu 003; Pei-Pei Li 001; Jiuyong Li (IEEE Trans. Knowl. Data Eng., 2023)

Multi-Label Feature Selection Via Adaptive Label Correlation Estimation. - Zan Zhang 002; Zhe Zhang; Jialu Yao; Lin Liu 003; Jiuyong Li; Gongqing Wu; Xindong Wu 001 (ACM Trans. Knowl. Discov. Data, 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)

FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning. - Xianjie Guo; Kui Yu; Lin Liu 003; Jiuyong Li (AAAI, 2024)

Multi-view Graph Neural Network for Fair Representation Learning. - Guixian Zhang; Guan Yuan; Debo Cheng; Ludan He; Rui Bing; Jiuyong Li; Shichao Zhang 001 (APWeb/WAIM (3), 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)

A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation Systems. - Qingfeng Chen; Boquan Wei; Debo Cheng; Jiuyong Li; Lin Liu 003; Shichao Zhang 001 (ICDM, 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)

Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables. - Yang Xie; Ziqi Xu 001; Debo Cheng; Jiuyong Li; Lin Liu 003; Yinghao Zhang; Zaiwen Feng (CoRR, 2024)

Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems. - Zhirong Huang; Shichao Zhang 001; Debo Cheng; Jiuyong Li; Lin Liu 003; Guixian Zhang (CoRR, 2024)

Data-driven Conditional Instrumental Variables for Debiasing Recommender Systems. - Zhirong Huang; Shichao Zhang 001; Debo Cheng; Jiuyong Li; Lin Liu 003; Guangquan Lu (CoRR, 2024)

Estimating Peer Direct and Indirect Effects in Observational Network Data. - Xiaojing Du; Jiuyong Li; Debo Cheng; Lin Liu 003; Wentao Gao; Xiongren Chen (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)

Mitigating Propensity Bias of Large Language Models for Recommender Systems. - Guixian Zhang; Guan Yuan; Debo Cheng; Lin Liu 003; Jiuyong Li; Shichao Zhang 001 (CoRR, 2024)

Towards Fair Graph Representation Learning in Social Networks. - Guixian Zhang; Guan Yuan; Debo Cheng; Lin Liu 003; Jiuyong Li; Shichao Zhang 001 (CoRR, 2024)

Multi-Cause Deconfounding for Recommender Systems with Latent Confounders. - Zhirong Huang; Shichao Zhang 001; Debo Cheng; Jiuyong Li; Lin Liu 003; Guixian Zhang (CoRR, 2024)

Mitigating Dual Latent Confounding Biases in Recommender Systems. - Jianfeng Deng; Qingfeng Chen; Debo Cheng; Jiuyong Li; Lin Liu 003; Xiaojing Du (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)

Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data. - Debo Cheng; Ziqi Xu 001; Jiuyong Li; Lin Liu 003; Thuc Duy Le; Xudong Guo; Shichao Zhang 001 (CoRR, 2024)

Counterfactual Samples Constructing and Training for Commonsense Statements Estimation. - Chong Liu; Zaiwen Feng; Lin Liu 003; Zhenyun Deng; Jiuyong Li; Ruifang Zhai; Debo Cheng; Li Qin (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)

Partial Label Feature Selection: An Adaptive Approach. - Zan Zhang 002; Jialu Yao; Lin Liu 003; Jiuyong Li; Lei Li 002; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 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)

Causal Feature Selection With Dual Correction. - Xianjie Guo; Kui Yu; Lin Liu 003; Fuyuan Cao; Jiuyong Li (IEEE Trans. Neural Networks Learn. Syst., 2024)

Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning. - Kui Yu; Zhaolong Ling; Lin Liu 003; Peipei Li 001; Hao Wang 008; Jiuyong Li (ACM Trans. Knowl. Discov. Data, 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)

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)

Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning. - Xianjie Guo; Kui Yu; Lin Liu 003; Jiuyong Li; Jiye Liang; Fuyuan Cao; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 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)

Meta-knowledge random attention update network for few-shot and anti-noise remaining useful life prediction. - Jing Yang; Xiaomin Wang; Minglan Zhang; Lin Liu 003; Jiuyong Li (Adv. Eng. Informatics, 2025)

Disentangled contrastive learning for fair graph representations. - Guixian Zhang; Guan Yuan; Debo Cheng; Lin Liu 003; Jiuyong Li; Shichao Zhang 001 (Neural Networks, 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)

A Novel Generative Model with Causality Constraint for Mitigating Biases in Recommender Systems. - Jianfeng Deng; Qingfeng Chen; Debo Cheng; Jiuyong Li; Lin Liu 003; Shichao Zhang 001 (CoRR, 2025)

Data-driven learning optimal K values for K-nearest neighbour matching in causal inference. - Yinghao Zhang; Tingting Xu; Debo Cheng; Jiuyong Li; Lin Liu 003; Ziqi Xu 001; Zaiwen Feng (Data Min. Knowl. Discov., 2025)

Deconfounding representation learning for mitigating latent confounding effects in recommendation. - Guixian Zhang; Guan Yuan; Debo Cheng; Lin Liu 003; Jiuyong Li; Ziqi Xu 001; Shichao Zhang 001 (Knowl. Inf. Syst., 2025)

Peer Effect Estimation in the Presence of Simultaneous Feedback and Unobserved Confounders. - Xiaojing Du; Jiuyong Li; Lin Liu 003; Debo Cheng; Thuc Duy Le (CoRR, 2025)

Leveraging Channel Coherence in Long-Term iEEG Data for Seizure Prediction. - Sha Lu 001; Lin Liu 003; Jiuyong Li; Jordan D. Chambers; Mark J. Cook; David B. Grayden (IEEE J. Biomed. Health Informatics, 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)