Fuzzy Bayesian Networks - A General Formalism for Representation, Inference and Learning with Hybrid Bayesian Networks. - Heping Pan; Lin Liu 003 (Int. J. Pattern Recognit. Artif. Intell., 2000)

Tackling the Infinite State Space of a Multimedia Control Protocol Service Specification. - Lin Liu 003; Jonathan Billington (ICATPN, 2002)

Reducing Parametric Automata: A Multimedia Protocol Service Case Study. - Lin Liu 003; Jonathan Billington (ATVA, 2004)

Obtaining the Service Language for H.245's Multimedia Capability Exchange Signalling Protocol: the Final Step. - Lin Liu 003; Jonathan Billington (MMM, 2004)

Symbolic Language Representations for Parametric Verification of the Revised Capability Exchange Signalling Protocol. - Lin Liu 003; Jonathan Billington (PDCAT, 2007)

Verification of the Capability Exchange Signalling protocol. - Lin Liu 003; Jonathan Billington (Int. J. Softw. Tools Technol. Transf., 2007)

Modelling and Analysis of the INVITE Transaction of the Session Initiation Protocol Using Coloured Petri Nets. - Lay G. Ding; Lin Liu 003 (Petri Nets, 2008)

Verification of the SIP Transaction Using Coloured Petri Nets. - Lin Liu 003 (ACSC, 2009)

Recursive Parametric Automata and epsilon-Removal. - Lin Liu 003; Jonathan Billington (FMOODS/FORTE, 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)

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

Uncovering SIP Vulnerabilities to DoS Attacks Using Coloured Petri Nets. - Lin Liu 003 (TrustCom, 2011)

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)

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)

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

A Study of Ten Popular Android Mobile VoIP Applications: Are the Communications Encrypted? - Abdullah Azfar; Kim-Kwang Raymond Choo; Lin Liu 003 (HICSS, 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)

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)

A Coloured Petri Net Approach to the Functional and Performance Analysis of SIP Non-INVITE Transaction. - Junxian Liu; Lin Liu 003 (Trans. Petri Nets Other Model. Concurr., 2014)

Forensic Taxonomy of Popular Android mHealth Apps. - Abdullah Azfar; Kim-Kwang Raymond Choo; Lin Liu 003 (AMCIS, 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)

Practical Approaches to Causal Relationship Exploration - Jiuyong Li; Lin Liu 003; Thuc Duy Le (Springer, 2015)

An Android Social App Forensics Adversary Model. - Abdullah Azfar; Kim-Kwang Raymond Choo; Lin Liu 003 (HICSS, 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)

Android mobile VoIP apps: a survey and examination of their security and privacy. - Abdullah Azfar; Kim-Kwang Raymond Choo; Lin Liu 003 (Electron. Commer. Res., 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)

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)

Evaluating and Improving SIP Non-INVITE Transaction to Alleviate the Losing Race Problem. - Junxian Liu; Lin Liu 003; Tao Chen 013 (Petri Nets, 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)

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)

Forensic taxonomy of android productivity apps. - Abdullah Azfar; Kim-Kwang Raymond Choo; Lin Liu 003 (Multim. Tools Appl., 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)

Preface: The 2018 ACM SIGKDD Workshop on Causal Discovery. - Thuc Duy Le; Kun Zhang 001; Emre Kiciman; Aapo Hyvärinen; Lin Liu 003 (CD@KDD, 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)

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)

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)

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

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 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)

BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection. - Zhaolong Ling; Kui Yu; Hao Wang 008; Lin Liu 003; Wei Ding 003; Xindong Wu 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)

Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery. - Thuc Duy Le; Lin Liu 003; Kun Zhang 001; Emre Kiciman; Peng Cui 001; Aapo Hyvärinen (CD@KDD, 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)

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)

The KDD 2022 Workshop on Causal Discovery (CD2022). - Thuc Duy Le; Lin Liu 003; Emre Kiciman; Sofia Triantafyllou; Huan Liu 001 (KDD, 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)

Preface: The 2022 ACM SIGKDD Workshop on Causal Discovery. - Thuc Duy Le; Lin Liu 003; Emre Kiciman; Sofia Triantafyllou; Huan Liu 001 (CD@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)

Exploring non-traditional learner motivations and characteristics in online learning: A learner profile study. - Andrew Zamecnik; Vitomir Kovanovic; Srecko Joksimovic; Lin Liu 003 (Comput. Educ. Artif. Intell., 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)

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)

How Many Features Do We Need to Identify Bots on Twitter? - Fatima Tabassum; Sameera Mubarak; Lin Liu 003; Jia Tina Du (iConference (1), 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)

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)

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)

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)

PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning. - Muhammad Anwar Ma'sum; Mahardhika Pratama; Savitha Ramasamy; Lin Liu 003; Habibullah Habibullah; Ryszard Kowalczyk (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)

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)

Mixup domain adaptations for dynamic remaining useful life predictions. - Muhammad Tanzil Furqon; Mahardhika Pratama; Lin Liu 003; Habibullah Habibullah; Kutluyil Dogancay (Knowl. Based Syst., 2024)

Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification. - Muhammad Anwar Ma'sum; Mahardhika Pratama; Ramasamy Savitha; Lin Liu 003; Habibullah; Ryszard Kowalczyk (IEEE Trans. Geosci. 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)

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)

Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks. - Muhammad Anwar Ma'sum; Md. Rasel Sarkar; Mahardhika Pratama; Savitha Ramasamy; Sreenatha G. Anavatti; Lin Liu 003; Habibullah Habibullah; Ryszard Kowalczyk (IEEE Trans. Artif. Intell., 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)

Federated Few-Shot Class-Incremental Learning. - Muhammad Anwar Ma'sum; Mahardhika Pratama; Lin Liu 003; Habibullah; Ryszard Kowalczyk (ICLR, 2025)

Vision and Language Synergy for Rehearsal Free Continual Learning. - Muhammad Anwar Ma'sum; Mahardhika Pratama; Savitha Ramasamy; Lin Liu 003; Habibullah; Ryszard Kowalczyk (ICLR, 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)

Time and frequency synergy for source-free time-series domain adaptations. - Muhammad Tanzil Furqon; Mahardhika Pratama; Ary Mazharuddin Shiddiqi; Lin Liu 003; Habibullah Habibullah; Kutluyil Dogancay (Inf. Sci., 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)

Few-Shot Continual Learning via Flat-to-Wide Approaches. - Muhammad Anwar Ma'sum; Mahardhika Pratama; Edwin Lughofer; Lin Liu 003; Habibullah; Ryszard Kowalczyk (IEEE Trans. Neural Networks Learn. Syst., 2025)

PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning. - M. Anwar Ma'sum; Mahardhika Pratama; Savitha Ramasamy; Lin Liu 003; Habibullah Habibullah; Ryszard Kowalczyk (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)