Jiuyong Li

According to our database, Jiuyong Li authored at least 272 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey.

Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le

ACM Comput. Surv., May, 2024

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

Zhining Shi, Christopher W. K. Chow, Jing Gao, Ke Xing, Jixue Liu, Jiuyong Li

Sensors, March, 2024

Fairmod: making predictions fair in multiple protected attributes.

Jixue Liu, Jiuyong Li, Lin Liu, Thuc Duy Le, Feiyue Ye, Gefei Li

Knowl. Inf. Syst., March, 2024

Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning.

Kui Yu, Zhaolong Ling, Lin Liu, Peipei Li, Hao Wang, Jiuyong Li

ACM Trans. Knowl. Discov. Data, February, 2024

Causal Feature Selection With Dual Correction.

Xianjie Guo, Kui Yu, Lin Liu, Fuyuan Cao, Jiuyong Li

IEEE Trans. Neural Networks Learn. Syst., January, 2024

When the Past != The Future: Assessing the Impact of Dataset Drift on the Fairness of Learning Analytics Models.

Oscar Blessed Deho, Lin Liu, Jiuyong Li, Jixue Liu, Chen Zhan, Srecko Joksimovic

IEEE Trans. Learn. Technol., 2024

FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning.

Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Personalized Interventions to Increase the Employment Success of People With Disability.

Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters

IEEE Trans. Big Data, December, 2023

Multi-Label Feature Selection Via Adaptive Label Correlation Estimation.

Zan Zhang, Zhe Zhang, Jialu Yao, Lin Liu, Jiuyong Li, Gongqing Wu, Xindong Wu

ACM Trans. Knowl. Discov. Data, November, 2023

Adaptive Skeleton Construction for Accurate DAG Learning.

Xianjie Guo, Kui Yu, Lin Liu, Pei-Pei Li, Jiuyong Li

IEEE Trans. Knowl. Data Eng., October, 2023

Pan-cancer characterization of ncRNA synergistic competition uncovers potential carcinogenic biomarkers.

Junpeng Zhang, Lin Liu, Xuemei Wei, Chunwen Zhao, Sijing Li, Jiuyong Li, Thuc Duy Le

PLoS Comput. Biol., October, 2023

Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables.

Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Local Search for Efficient Causal Effect Estimation.

Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Jixue Liu, Thuc Duy Le

IEEE Trans. Knowl. Data Eng., September, 2023

Should Learning Analytics Models Include Sensitive Attributes? Explaining the Why.

Oscar Blessed Deho, Srecko Joksimovic, Jiuyong Li, Chen Zhan, Jixue Liu, Lin Liu

IEEE Trans. Learn. Technol., August, 2023

Multilabel Feature Selection: A Local Causal Structure Learning Approach.

Kui Yu, Mingzhu Cai, Xingyu Wu, Lin Liu, Jiuyong Li

IEEE Trans. Neural Networks Learn. Syst., June, 2023

Causal heterogeneity discovery by bottom-up pattern search for personalised decision making.

Jiuyong Li, Lin Liu, Shisheng Zhang, Saisai Ma, Thuc Duy Le, Jixue Liu

Appl. Intell., April, 2023

Learning Causal Representations for Robust Domain Adaptation.

Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li

IEEE Trans. Knowl. Data Eng., March, 2023

Integrating Global and Local Feature Selection for Multi-Label Learning.

Zan Zhang, Lin Liu, Jiuyong Li, Xindong Wu

ACM Trans. Knowl. Discov. Data, January, 2023

Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le

CoRR, 2023

Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference.

Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng

CoRR, 2023

Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder.

Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu

CoRR, 2023

Conditional Instrumental Variable Regression with Representation Learning for Causal Inference.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le

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 Effect Estimation with Variational AutoEncoder and the Front Door Criterion.

Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu

CoRR, 2023

Linking a predictive model to causal effect estimation.

Jiuyong Li, Lin Liu, Ziqi Xu, Ha Xuan Tran, Thuc Duy Le, Jixue Liu

CoRR, 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, Jiuyong Li, Md Zahidul Islam, David Kernot

IEEE Access, 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, Ziqi Xu, Debo Cheng, Zaiwen Feng

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Learning Conditional Instrumental Variable Representation for Causal Effect Estimation.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Disentangled Representation with Causal Constraints for Counterfactual Fairness.

Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Assessing the Fairness of Course Success Prediction Models in the Face of (Un)equal Demographic Group Distribution.

Oscar Blessed Deho, Srecko Joksimovic, Lin Liu, Jiuyong Li, Chen Zhan, Jixue Liu

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision.

Thuc Duy Le, Jiuyong Li, Robert Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi

Proceedings of the KDD'23 Workshop on Causal Discovery, 2023

Stabilising Job Survival Analysis for Disability Employment Services in Unseen Environments.

Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Xiaomei Li, Jixue Liu, Tony Waters

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference.

Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng

Proceedings of the IEEE International Conference on Data Mining, 2023

Improve interpretability of Information Bottlenecks for Attribution with Layer-wise Relevance Propagation.

Xiongren Chen, Jiuyong Li, Jixue Liu, Stefan Peters, Lin Liu, Thuc Duy Le, Anthony Walsh

Proceedings of the IEEE International Conference on Big Data, 2023

Causal Disentanglement for Adversarial Defense.

Ji-Young Park, Lin Liu, Jixue Liu, Jiuyong Li

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

Disentangled Representation for Causal Mediation Analysis.

Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Causal Inference with Conditional Instruments Using Deep Generative Models.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

PSL: An Algorithm for Partial Bayesian Network Structure Learning.

Zhaolong Ling, Kui Yu, Lin Liu, Jiuyong Li, Yiwen Zhang, Xindong Wu

ACM Trans. Knowl. Discov. Data, 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

Causal learner: A toolbox for causal structure and Markov blanket learning.

Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li

Pattern Recognit. Lett., 2022

FastOPM - A practical method for partial match of time series.

Jixue Liu, Jiuyong Li, Lin Liu

Pattern Recognit., 2022

Sufficient dimension reduction for average causal effect estimation.

Debo Cheng, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu, Kui Yu

Data Min. Knowl. Discov., 2022

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling.

Weijia Zhang, Jiuyong Li, Lin Liu

ACM Comput. Surv., 2022

Explanatory causal effects for model agnostic explanations.

Jiuyong Li, Ha Xuan Tran, Thuc Duy Le, Lin Liu, Kui Yu, Jixue Liu

CoRR, 2022

Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data.

Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

CoRR, 2022

Ancestral instrument method for causal inference without a causal graph.

Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu

CoRR, 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, Thuc Duy Le

Br. J. Educ. Technol., 2022

Assessing Classifier Fairness with Collider Bias.

Zhenlong Xu, Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers.

Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker?

Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Ancestral Instrument Method for Causal Inference without Complete Knowledge.

Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Assessing the Causal Impact of Online Instruction due to COVID-19 on Students' Grades and its aftermath on Grade Prediction Models.

Oscar Blessed Deho, Lin Liu, Srecko Joksimovic, Jiuyong Li, Chen Zhan, Jixue Liu

Proceedings of the GoodIT 2022: ACM International Conference on Information Technology for Social Good, Limassol, Cyprus, September 7, 2022

Decision Support for Disability Employment using Counterfactual Survival Analysis.

Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters

Proceedings of the IEEE International Conference on Big Data, 2022

Randomize Adversarial Defense in a Light Way.

Ji-Young Park, Lin Liu, Jixue Liu, Jiuyong Li

Proceedings of the IEEE International Conference on Big Data, 2022

2021

A Unified View of Causal and Non-causal Feature Selection.

Kui Yu, Lin Liu, Jiuyong Li

ACM Trans. Knowl. Discov. Data, 2021

A general framework for causal classification.

Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

Int. J. Data Sci. Anal., 2021

Causality-based Feature Selection: Methods and Evaluations.

Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu

ACM Comput. Surv., 2021

Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning.

Kui Yu, Zhaolong Ling, Lin Liu, Hao Wang, Jiuyong Li

CoRR, 2021

Any Part of Bayesian Network Structure Learning.

Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Jiuyong Li

CoRR, 2021

Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning.

Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li

CoRR, 2021

Exploring cell-specific miRNA regulation with single-cell miRNA-mRNA co-sequencing data.

Junpeng Zhang, Lin Liu, Taosheng Xu, Wu Zhang, Chunwen Zhao, Sijing Li, Jiuyong Li, Nini Rao, Thuc Duy Le

BMC 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, Jiuyong Li, Thuc Duy Le

BMC Bioinform., 2021

pDriver: a novel method for unravelling personalized coding and miRNA cancer drivers.

Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Thin Nguyen, Gregory J. Goodall, Jiuyong Li, Thuc Duy Le

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, Jiuyong Li, Thuc Duy Le

Bioinform., 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, Jiuyong Li, Thuc Duy Le

Briefings Bioinform., 2021

Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability.

Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

The KDD 2021 Workshop on Causal Discovery (CD2021).

Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery.

Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash

Proceedings of the KDD 2021 Workshop on Causal Discovery, 2021

Message from the IEEE SmartData 2021 General Chairs: iThings-GreenCom-CPSCom-SmartData-Cybermatics 2021.

Jiuyong Li, Aniello Castiglione

Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021

Divide and Conquer: Targeted Adversary Detection using Proximity and Dependency.

Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Training Neural Networks with Random Noise Images for Adversarial Robustness.

Ji-Young Park, Lin Liu, Jiuyong Li, Jixue Liu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Treatment Effect Estimation with Disentangled Latent Factors.

Weijia Zhang, Lin Liu, Jiuyong Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Leveraging burst in twitter network communities for event detection.

Jeffery Ansah, Lin Liu, Wei Kang, Jixue Liu, Jiuyong Li

World Wide Web, 2020

Learning Markov Blankets From Multiple Interventional Data Sets.

Kui Yu, Lin Liu, Jiuyong Li

IEEE Trans. Neural Networks Learn. Syst., 2020

LMSM: A modular approach for identifying lncRNA related miRNA sponge modules in breast cancer.

Junpeng Zhang, Taosheng Xu, Lin Liu, Wu Zhang, Chunwen Zhao, Sijing Li, Jiuyong Li, Nini Rao, Thuc Duy Le

PLoS Comput. Biol., 2020

A novel single-cell based method for breast cancer prognosis.

Xiaomei Li, Lin Liu, Gregory J. Goodall, Andreas W. Schreiber, Taosheng Xu, Jiuyong Li, Thuc Duy Le

PLoS Comput. Biol., 2020

Multi-Source Causal Feature Selection.

Kui Yu, Lin Liu, Jiuyong Li, Wei Ding, Thuc Duy Le

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Accurate data-driven prediction does not mean high reproducibility.

Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu

Nat. Mach. Intell., 2020

Detecting high-quality signals of adverse drug-drug interactions from spontaneous reporting data.

Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li

J. Biomed. Informatics, 2020

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

Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu

CoRR, 2020

Assessing the Fairness of Classifiers with Collider Bias.

Zhenlong Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang

CoRR, 2020

Sufficient Dimension Reduction for Average Causal Effect Estimation.

Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu

CoRR, 2020

A unified survey on treatment effect heterogeneity modeling and uplift modeling.

Weijia Zhang, Jiuyong Li, Lin Liu

CoRR, 2020

Computational methods for cancer driver discovery: A survey.

Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Gregory J. Goodall, Jiuyong Li, Thuc Duy Le

CoRR, 2020

Towards precise causal effect estimation from data with hidden variables.

Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

CoRR, 2020

Correction to: Identifying miRNA synergism using multiple-intervention causal inference.

Junpeng Zhang, Vu Viet Hoang Pham, Lin Liu, Taosheng Xu, Buu Minh Thanh Truong, Jiuyong Li, Nini Rao, Thuc Duy Le

BMC Bioinform., 2020

Detecting potential signals of adverse drug events from prescription data.

Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li

Artif. Intell. Medicine, 2020

Evidence Weighted Tree Ensembles for Text Classification.

Md. Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

LoPAD: A Local Prediction Approach to Anomaly Detection.

Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Robust Multi-Instance Learning with Stable Instances.

Weijia Zhang, Lin Liu, Jiuyong Li

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Causal Query in Observational Data with Hidden Variables.

Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Intervention Recommendation for Improving Disability Employment.

Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Building Fair Predictive Models.

Jixue Liu, Jiuyong Li, Feiyue Ye, Lin Liu, Thuc Duy Le, Ping Xiong, Hong-Cheu Liu

Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data.

Junpeng Zhang, Thin Nguyen, Buu Minh Thanh Truong, Lin Liu, Jiuyong Li, Thuc Duy Le

Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

2019

Introduction to the Special Section on Advances in Causal Discovery and Inference.

Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui

ACM Trans. Intell. Syst. Technol., 2019

A Fast PC Algorithm for High Dimensional Causal Discovery with Multi-Core PCs.

Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Huawen Liu, Shu Hu

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Certus: An Effective Entity Resolution Approach with Graph Differential Dependencies (GDDs).

Selasi Kwashie, Jixue Liu, Jiuyong Li, Lin Liu, Markus Stumptner, Lujing Yang

Proc. VLDB Endow., 2019

CBNA: A control theory based method for identifying coding and non-coding cancer drivers.

Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Gregory J. Goodall, Qi Long, Jiuyong Li, Thuc Duy Le

PLoS Comput. Biol., 2019

Privacy preserving serial publication of transactional data.

Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li

Inf. Syst., 2019

Data-driven discovery of causal interactions.

Saisai Ma, Lin Liu, Jiuyong Li, Thuc Duy Le

Int. J. Data Sci. Anal., 2019

Identifying key factors of student academic performance by subgroup discovery.

Sumyea Helal, Jiuyong Li, Lin Liu, Esmaeil Ebrahimie, Shane Dawson, Duncan J. Murray

Int. J. Data Sci. Anal., 2019

Discovering context specific causal relationships.

Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le

Intell. Data Anal., 2019

Linking Graph Entities with Multiplicity and Provenance.

Jixue Liu, Selasi Kwashie, Jiuyong Li, Lin Liu, Michael Bewong

CoRR, 2019

Identify treatment effect patterns for personalised decisions.

Jiuyong Li, Saisai Ma, Lin Liu, Thuc Duy Le, Jixue Liu, Yizhao Han

CoRR, 2019

Distributionally Robust Multi-instance Learning with Stable Instances.

Weijia Zhang, Jiuyong Li, Lin Liu

CoRR, 2019

A relative privacy model for effective privacy preservation in transactional data.

Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li, Kim-Kwang Raymond Choo

Concurr. Comput. Pract. Exp., 2019

Identifying miRNA synergism using multiple-intervention causal inference.

Junpeng Zhang, Vu Viet Hoang Pham, Lin Liu, Taosheng Xu, Buu Minh Thanh Truong, Jiuyong Li, Nini Rao, 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, Lin Liu, Taosheng Xu, Yong Xie, Chunwen Zhao, Jiuyong Li, Thuc Duy Le

BMC Bioinform., 2019

Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal prediction.

Vu Viet Hoang Pham, Junpeng Zhang, Lin Liu, Buu Minh Thanh Truong, Taosheng Xu, Trung T. Nguyen, Jiuyong Li, Thuc Duy Le

BMC Bioinform., 2019

Inferring and analyzing module-specific lncRNA-mRNA causal regulatory networks in human cancer.

Junpeng Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li

Briefings Bioinform., 2019

A Graph is Worth a Thousand Words: Telling Event Stories using Timeline Summarization Graphs.

Jeffery Ansah, Lin Liu, Wei Kang, Selasi Kwashie, Jixue Li, Jiuyong Li

Proceedings of the World Wide Web Conference, 2019

Semantic Explanations in Ensemble Learning.

Md. Zahidul Islam, Jixue Liu, Lin Liu, Jiuyong Li, Wei Kang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery.

Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen

Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, 2019

A Semantics Aware Random Forest for Text Classification.

Md. Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Efficient Outlier Detection for High-Dimensional Data.

Huawen Liu, Xuelong Li, Jiuyong Li, Shichao Zhang

IEEE Trans. Syst. Man Cybern. Syst., 2018

Mining Markov Blankets Without Causal Sufficiency.

Kui Yu, Lin Liu, Jiuyong Li, Huanhuan Chen

IEEE Trans. Neural Networks Learn. Syst., 2018

Collective behavior learning by differentiating personal preference from peer influence.

Zan Zhang, Lin Liu, Hao Wang, Jiuyong Li, Daning Hu, Jiaqi Yan, René Algesheimer, Markus Meierer

Knowl. Based Syst., 2018

Predicting academic performance by considering student heterogeneity.

Sumyea Helal, Jiuyong Li, Lin Liu, Esmaeil Ebrahimie, Shane Dawson, Duncan J. Murray, Qi Long

Knowl. Based Syst., 2018

A data-driven method to detect adverse drug events from prescription data.

Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li

J. Biomed. Informatics, 2018

Opportunistic mining of top-<i>n</i> high utility patterns.

Junqiang Liu, Xingxing Zhang, Benjamin C. M. Fung, Jiuyong Li, Farkhund Iqbal

Inf. Sci., 2018

Multi-label relational classification via node and label correlation.

Zan Zhang, Hao Wang, Lin Liu, Jiuyong Li

Neurocomputing, 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

Guest Editorial: Special Issue on Causal Discovery 2017.

Lin Liu, Jiuyong Li, Kun Zhang, Emre Kiciman, Negar Kiyavash

Int. J. Data Sci. Anal., 2018

An exploration of algorithmic discrimination in data and classification.

Jixue Liu, Jiuyong Li, Feiyue Ye, Lin Liu, Thuc Duy Le, Ping Xiong

CoRR, 2018

FairMod - Making Predictive Models Discrimination Aware.

Jixue Liu, Jiuyong Li, Lin Liu, Thuc Duy Le, Feiyue Ye, Gefei Li

CoRR, 2018

Discovering Markov Blanket from Multiple interventional Datasets.

Kui Yu, Lin Liu, Jiuyong Li

CoRR, 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

Estimating heterogeneous treatment effect by balancing heterogeneity and fitness.

Weijia Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li

BMC 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, Junpeng Zhang, Hongqiang Wang, Weijia Zhang, Jie Gui, Kui Yu, Jiuyong Li, Thuc Duy Le

BMC Bioinform., 2018

LncmiRSRN: identification and analysis of long non-coding RNA related miRNA sponge regulatory network in human cancer.

Junpeng Zhang, Lin Liu, Jiuyong Li, Thuc Duy Le

Bioinform., 2018

Which Type of Classifier to Use for Networked Data, Connectivity Based or Feature Based?

Zan Zhang, Jiuyong Li, Hao Wang, Lin Liu, Jixue Liu

Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

SensorTree: Bursty Propagation Trees as Sensors for Protest Event Detection.

Jeffery Ansah, Wei Kang, Lin Liu, Jixue Liu, Jiuyong Li

Proceedings of the Web Information Systems Engineering - WISE 2018, 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

Proceedings of the 17th IEEE International Conference On Trust, 2018

ParallelPC: An R Package for Efficient Causal Exploration in Genomic Data.

Thuc Duy Le, Taosheng Xu, Lin Liu, Hu Shu, Tao Hoang, Jiuyong Li

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

Information Propagation Trees for Protest Event Prediction.

Jeffery Ansah, Wei Kang, Lin Liu, Jixue Liu, Jiuyong Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Effective Outlier Detection based on Bayesian Network and Proximity.

Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Nonparametric Sparse Matrix Decomposition for Cross-View Dimensionality Reduction.

Huawen Liu, Lin Liu, Thuc Duy Le, Ivan Lee, Shiliang Sun, Jiuyong Li

IEEE Trans. Multim., 2017

Causal Decision Trees.

Jiuyong Li, Saisai Ma, Thuc Duy Le, Lin Liu, Jixue Liu

IEEE Trans. Knowl. Data Eng., 2017

Guest editorial: special issue on causal discovery.

Jiuyong Li, Kun Zhang, Elias Bareinboim, Lin Liu

Int. J. Data Sci. Anal., 2017

Building Diversified Multiple Trees for classification in high dimensional noisy biomedical data.

Jiuyong Li, Lin Liu, Jixue Liu, Ryan Green

Health Inf. Sci. Syst., 2017

Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer.

Junpeng Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li

BMC Bioinform., 2017

Identifying miRNA sponge modules using biclustering and regulatory scores.

Junpeng Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li

BMC Bioinform., 2017

Mining heterogeneous causal effects for personalized cancer treatment.

Weijia Zhang, Thuc Duy Le, Lin Liu, Zhi-Hua Zhou, Jiuyong Li

Bioinform., 2017

CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization.

Taosheng Xu, Thuc Duy Le, Lin Liu, Ning Su, Rujing Wang, Bing-Yu Sun, Antonio Colaprico, Gianluca Bontempi, Jiuyong Li

Bioinform., 2017

Computational methods for identifying miRNA sponge interactions.

Thuc Duy Le, Junpeng Zhang, Lin Liu, Jiuyong Li

Briefings Bioinform., 2017

Beyond Understanding and Prediction: Data Mining for Action.

Jiuyong Li

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Utility Aware Clustering for Publishing Transactional Data.

Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Identifying microRNA targets in epithelial-mesenchymal transition using joint-intervention causal inference.

Thuc Duy Le, Junpeng Zhang, Lin Liu, Buu Minh Thanh Truong, Shu Hu, Taosheng Xu, Jiuyong Li

Proceedings of the 8th International Conference on Computational Systems-Biology and Bioinformatics, 2017

Discrimination detection by causal effect estimation.

Jiuyong Li, Jixue Liu, Lin Liu, Thuc Duy Le, Saisai Ma, Yizhao Han

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Carbon: Forecasting Civil Unrest Events by Monitoring News and Social Media.

Wei Kang, Jie Chen, Jiuyong Li, Jixue Liu, Lin Liu, Grant Osborne, Nick Lothian, Brenton Cooper, Terry Moschou, Grant Neale

Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016

Access Time Oracle for Planar Graphs.

Ke Deng, Jianxin Li, Chaoyi Pang, Jiuyong Li, Xiaofang Zhou

IEEE Trans. Knowl. Data Eng., 2016

Preface to the ACM TIST Special Issue on Causal Discovery and Inference.

Kun Zhang, Jiuyong Li, Elias Bareinboim, Bernhard Schölkopf, Judea Pearl

ACM Trans. Intell. Syst. Technol., 2016

From Observational Studies to Causal Rule Mining.

Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun, Saisai Ma

ACM Trans. Intell. Syst. Technol., 2016

Mining combined causes in large data sets.

Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le

Knowl. Based Syst., 2016

A hybrid approach to prevent composition attacks for independent data releases.

Jiuyong Li, Muzammil M. Baig, A. H. M. Sarowar Sattar, Xiaofeng Ding, Jixue Liu, Millist W. Vincent

Inf. Sci., 2016

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

Jiuyong Li, Lin Liu, Jixue Liu, Ryan Green

CoRR, 2016

Identification of miRNA-mRNA regulatory modules by exploring collective group relationships.

S. M. Masud Karim, Lin Liu, Thuc Duy Le, Jiuyong Li

BMC Genom., 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

An Effective Spatio-Temporal Approach for Predicting Future Semantic Locations.

Hamidu Abdel-Fatao, Jiuyong Li, Jixue Liu, Ashfaqur Rahman

Proceedings of the Databases Theory and Applications, 2016

2015

Practical Approaches to Causal Relationship Exploration

Jiuyong Li, Lin Liu, Thuc Duy Le

Springer Briefs in Electrical and Computer Engineering, Springer, ISBN: 978-3-319-14433-7, 2015

Constructing and Combining Orthogonal Projection Vectors for Ordinal Regression.

Bing-Yu Sun, Hailei Wang, Wenbo Li, Hui-Jing Wang, Jiuyong Li, Zhiqiang Du

Neural Process. Lett., 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

R-U policy frontiers for health data de-identification.

Weiyi Xia, Raymond Heatherly, Xiaofeng Ding, Jiuyong Li, Bradley A. Malin

J. Am. Medical Informatics Assoc., 2015

Mining Combined Causes.

Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le

CoRR, 2015

A fast PC algorithm for high dimensional causal discovery with multi-core PCs.

Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Huawen Liu

CoRR, 2015

ParallelPC: an R package for efficient constraint based causal exploration.

Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Shu Hu

CoRR, 2015

From miRNA regulation to miRNA-TF co-regulation: computational approaches and challenges.

Thuc Duy Le, Lin Liu, Junpeng Zhang, Bing Liu, Jiuyong Li

Briefings Bioinform., 2015

STMM: Semantic and Temporal-Aware Markov Chain Model for Mobility Prediction.

Hamidu Abdel-Fatao, Jiuyong Li, Jixue Liu

Proceedings of the Data Science - Second International Conference, 2015

Secure Outsourced Frequent Pattern Mining by Fully Homomorphic Encryption.

Junqiang Liu, Jiuyong Li, Shijian Xu, Benjamin C. M. Fung

Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

Efficient Mining of Non-derivable Emerging Patterns.

Vincent Mwintieru Nofong, Jixue Liu, Jiuyong Li

Proceedings of the Databases Theory and Applications, 2015

Efficient Discovery of Differential Dependencies Through Association Rules Mining.

Selasi Kwashie, Jixue Liu, Jiuyong Li, Feiyue Ye

Proceedings of the Databases Theory and Applications, 2015

Unifying Spatial, Temporal and Semantic Features for an Effective GPS Trajectory-Based Location Recommendation.

Hamidu Abdel-Fatao, Jiuyong Li, Jixue Liu

Proceedings of the Databases Theory and Applications, 2015

Conditional Differential Dependencies (CDDs).

Selasi Kwashie, Jixue Liu, Jiuyong Li, Feiyue Ye

Proceedings of the Advances in Databases and Information Systems, 2015

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, Bradley A. Malin

Proceedings of the Medical Data Privacy Handbook, 2015

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

Discovering statistically non-redundant subgroups.

Jiuyong Li, Jixue Liu, Hannu Toivonen, Kenji Satou, Youqiang Sun, Bing-Yu Sun

Knowl. Based Syst., 2014

Identifying direct miRNA-mRNA causal regulatory relationships in heterogeneous data.

Junpeng Zhang, Thuc Duy Le, Lin Liu, Bing Liu, Jianfeng He, Gregory J. Goodall, Jiuyong Li

J. Biomed. Informatics, 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

Inferring condition-specific miRNA activity from matched miRNA and mRNA expression data.

Junpeng Zhang, Thuc Duy Le, Lin Liu, Bing Liu, Jianfeng He, Gregory J. Goodall, Jiuyong Li

Bioinform., 2014

Identifying miRNAs, targets and functions.

Bing Liu, Jiuyong Li, Murray J. Cairns

Briefings Bioinform., 2014

Top-k Similarity Matching in Large Graphs with Attributes.

Xiaofeng Ding, Jianhong Jia, Jiuyong Li, Jixue Liu, Hai Jin

Proceedings of the Database Systems for Advanced Applications, 2014

A Study on the Applications of Emerging Sequential Patterns.

Vincent Mwintieru Nofong, Jixue Liu, Jiuyong Li

Proceedings of the Databases Theory and Applications, 2014

Logics for Representing Data Mining Tasks in Inductive Databases.

Hong-Cheu Liu, Millist W. Vincent, Jixue Liu, Jiuyong Li

Proceedings of the Databases Theory and Applications, 2014

Mining Differential Dependencies: A Subspace Clustering Approach.

Selasi Kwashie, Jixue Liu, Jiuyong Li, Feiyue Ye

Proceedings of the Databases Theory and Applications, 2014

Discovering Collective Group Relationships.

S. M. Masud Karim, Lin Liu, Jiuyong Li

Proceedings of the Databases Theory and Applications, 2014

2013

A general framework for privacy preserving data publishing.

A. H. M. Sarowar Sattar, Jiuyong Li, Xiaofeng Ding, Jixue Liu, Millist W. Vincent

Knowl. Based Syst., 2013

On discovery of functional dependencies from data.

Jixue Liu, Feiyue Ye, Jiuyong Li, Junhu Wang

Data Knowl. Eng., 2013

Discovery of Approximate Differential Dependencies.

Jixue Liu, Selasi Kwashie, Jiuyong Li, Feiyue Ye, Millist W. Vincent

CoRR, 2013

Effective Pruning for the Discovery of Conditional Functional Dependencies.

Jiuyong Li, Jixue Liu, Hannu Toivonen, Jianming Yong

Comput. J., 2013

Inferring microRNA and transcription factor regulatory networks in heterogeneous data.

Thuc Duy Le, Lin Liu, Bing Liu, Anna Tsykin, Gregory J. Goodall, Kenji Satou, Jiuyong Li

BMC Bioinform., 2013

Inferring microRNA-mRNA causal regulatory relationships from expression data.

Thuc Duy Le, Lin Liu, Anna Tsykin, Gregory J. Goodall, Bing Liu, Bing-Yu Sun, Jiuyong Li

Bioinform., 2013

Exploring Groups from Heterogeneous Data via Sparse Learning.

Huawen Liu, Jiuyong Li, Lin Liu, Jixue Liu, Ivan Lee, Jianmin Zhao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Mining Causal Association Rules.

Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Distributed Anonymization for Multiple Data Providers in a Cloud System.

Xiaofeng Ding, Qing Yu, Jiuyong Li, Jixue Liu, Hai Jin

Proceedings of the Database Systems for Advanced Applications, 2013

Efficient discovery of de-identification policy options through a risk-utility frontier.

Weiyi Xia, Raymond Heatherly, Xiaofeng Ding, Jiuyong Li, Bradley A. Malin

Proceedings of the Third ACM Conference on Data and Application Security and Privacy, 2013

From Association Analysis to Causal Discovery.

Jiuyong Li

Proceedings of the Workshop on Machine Learning for Sensory Data Analysis, 2013

A Two-Layer Multi-dimensional Trustworthiness Metric for Web Service Composition.

Han Jiao, Jixue Liu, Jiuyong Li, Chengfei Liu

Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

2012

Discover Dependencies from Data - A Review.

Jixue Liu, Jiuyong Li, Chengfei Liu, Yongfeng Chen

IEEE Trans. Knowl. Data Eng., 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

An approximate microaggregation approach for microdata protection.

Xiaoxun Sun, Hua Wang, Jiuyong Li, Yanchun Zhang

Expert Syst. Appl., 2012

Satisfying Privacy Requirements Before Data Anonymization.

Xiaoxun Sun, Hua Wang, Jiuyong Li, Yanchun Zhang

Comput. J., 2012

Inferring functional miRNA-mRNA regulatory modules in epithelial-mesenchymal transition with a probabilistic topic model.

Junpeng Zhang, Bing Liu, Jianfeng He, Lei Ma, Jiuyong Li

Comput. Biol. Medicine, 2012

Give Rookies A Chance: A Trust-Based Institutional Online Supplier Recommendation Framework.

Han Jiao, Jixue Liu, Jiuyong Li, Chengfei Liu

Proceedings of the Information Security and Privacy Research, 2012

Discovery of Causal Rules Using Partial Association.

Zhou Jin, Jiuyong Li, Lin Liu, Thuc Duy Le, Bing-Yu Sun, Rujing Wang

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Data Privacy against Composition Attack.

Muzammil M. Baig, Jiuyong Li, Jixue Liu, Xiaofeng Ding, Hua Wang

Proceedings of the Database Systems for Advanced Applications, 2012

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, Jianmei Gao, Jianfeng He, Xinmin Yan, Lei Ma, Xianwen Zhang, Jiuyong Li

Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012

2011

Validating Privacy Requirements in Large Survey Rating Data.

Xiaoxun Sun, Hua Wang, Jiuyong Li

Proceedings of the Next Generation Data Technologies for Collective Computational Intelligence, 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

ORPSW: a new classifier for gene expression data based on optimal risk and preventive patterns.

Junpeng Zhang, Jianfeng He, Lei Ma, Jiuyong Li

J. Comput., 2011

Information based data anonymization for classification utility.

Jiuyong Li, Jixue Liu, Muzammil M. Baig, Raymond Chi-Wing Wong

Data Knowl. Eng., 2011

Publishing anonymous survey rating data.

Xiaoxun Sun, Hua Wang, Jiuyong Li, Jian Pei

Data Min. Knowl. Discov., 2011

Injecting purpose and trust into data anonymisation.

Xiaoxun Sun, Hua Wang, Jiuyong Li, Yanchun Zhang

Comput. Secur., 2011

A Framework for Reputation Bootstrapping Based on Reputation Utility and Game Theories.

Han Jiao, Jixue Liu, Jiuyong Li, Chengfei Liu

Proceedings of the IEEE 10th International Conference on Trust, 2011

Recognize Trustworthy Web Services Via Institutions.

Han Jiao, Jixue Liu, Jiuyong Li

Proceedings of the ICEIS 2011, 2011

Cloning for privacy protection in multiple independent data publications.

Muzammil M. Baig, Jiuyong Li, Jixue Liu, Hua Wang

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

A Role-Based Cognitive Architecture for Multi-Agent Teaming.

Jinsong Leng, Chee Peng Lim, Jiuyong Li, Dongguang Li, Lakhmi C. Jain

Proceedings of the Agent and Multi-agent Technology for Internet and Enterprise Systems, 2010

Privacy Protection for Genomic Data: Current Techniques and Challenges.

Muzammil M. Baig, Jiuyong Li, Jixue Liu, Hua Wang, Junhu Wang

Proceedings of the Advances in Intelligent Information Systems, 2010

Feature fusion using locally linear embedding for classification.

Bing-Yu Sun, Xiaoming Zhang, Jiuyong Li, Xue-Min Mao

IEEE Trans. Neural Networks, 2010

Kernel Discriminant Learning for Ordinal Regression.

Bing-Yu Sun, Jiuyong Li, Desheng Dash Wu, Xiaoming Zhang, Wenbo Li

IEEE Trans. Knowl. Data Eng., 2010

Identifying functional miRNA-mRNA regulatory modules with correspondence latent dirichlet allocation.

Bing Liu, Lin Liu, Anna Tsykin, Gregory J. Goodall, Jeffrey E. Green, Min Zhu, Chang-Hee Kim, Jiuyong Li

Bioinform., 2010

Satisfying Privacy Requirements: One Step before Anonymization.

Xiaoxun Sun, Hua Wang, Jiuyong Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Spectral representation of DNA sequences and its application.

Zhujin Zhang, Lin Liu, Jiuyong Li, Zheng Zhang

Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

On the Effectiveness of Gene Selection for Microarray Classification Methods.

Zhongwei Zhang, Jiuyong Li, Hong Hu, Hong Zhou

Proceedings of the Intelligent Information and Database Systems, 2010

2009

(<i>alpha</i>, <i>k</i>)-anonymous data publishing.

Raymond Chi-Wing Wong, Jiuyong Li, Ada Wai-Chee Fu, Ke Wang

J. Intell. Inf. Syst., 2009

Discovery of functional miRNA-mRNA regulatory modules with computational methods.

Bing Liu, Jiuyong Li, Anna Tsykin

J. Biomed. Informatics, 2009

An integrated model for next page access prediction.

Faten Khalil, Jiuyong Li, Hua Wang

Int. J. Knowl. Web Intell., 2009

Exploring complex miRNA-mRNA interactions with Bayesian networks by splitting-averaging strategy.

Bing Liu, Jiuyong Li, Anna Tsykin, Lin Liu, Arti B. Gaur, Gregory J. Goodall

BMC Bioinform., 2009

Efficient discovery of risk patterns in medical data.

Jiuyong Li, Ada Wai-Chee Fu, Paul Fahey

Artif. Intell. Medicine, 2009

Finding Irredundant Contained Rewritings of Tree Pattern Queries Using Views.

Junhu Wang, Kewen Wang, Jiuyong Li

Proceedings of the Advances in Data and Web Management, Joint International Conferences, 2009

Achieving P-Sensitive K-Anonymity via Anatomy.

Xiaoxun Sun, Hua Wang, Jiuyong Li, David Ross

Proceedings of the 2009 IEEE International Conference on e-Business Engineering, 2009

Injecting purpose and trust into data anonymisation.

Xiaoxun Sun, Hua Wang, Jiuyong Li

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Building a Generic Graph-based Descriptor Set for use in Drug Discovery.

Phillip Lock, Nicolas Le Mercier, Jiuyong Li, Markus Stumptner

Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

Studying Genotype-Phenotype Attack on k-anonymised Medical and Genomic Data.

Muzammil M. Baig, Jiuyong Li, Jixue Liu, Hua Wang

Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

Microdata Protection Through Approximate Microaggregation.

Xiaoxun Sun, Hua Wang, Jiuyong Li

Proceedings of the Computer Science 2009, 2009

2008

Anonymization by Local Recoding in Data with Attribute Hierarchical Taxonomies.

Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jian Pei

IEEE Trans. Knowl. Data Eng., 2008

Enhanced P-Sensitive K-Anonymity Models for Privacy Preserving Data Publishing.

Xiaoxun Sun, Hua Wang, Jiuyong Li, Traian Marius Truta

Trans. Data Priv., 2008

Privacy preserving serial data publishing by role composition.

Yingyi Bu, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Lei Chen, Jiuyong Li

Proc. VLDB Endow., 2008

A role-oriented BDI framework for real-time multiagent teaming.

Jinsong Leng, Jiuyong Li, Lakhmi C. Jain

Intell. Decis. Technol., 2008

A Role-Based Framework for Multi-agent Teaming.

Jinsong Leng, Jiuyong Li, Lakhmi C. Jain

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Portable devices of security and privacy preservation for e-learning.

Jianming Yong, Jiuyong Li, Hua Wang

Proceedings of the 12th International Conference on CSCW in Design, 2008

Authorization approaches for advanced permission-role assignments.

Hua Wang, Jianming Yong, Jiuyong Li, Min Peng

Proceedings of the 12th International Conference on CSCW in Design, 2008

Priority Driven K-Anonymisation for Privacy Protection.

Xiaoxun Sun, Hua Wang, Jiuyong Li

Proceedings of the Data Mining and Analytics 2008, 2008

L-Diversity Based Dynamic Update for Large Time-Evolving Microdata.

Xiaoxun Sun, Hua Wang, Jiuyong Li

Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

On the Complexity of Restricted k-anonymity Problem.

Xiaoxun Sun, Hua Wang, Jiuyong Li

Proceedings of the Progress in WWW Research and Development, 2008

Integrating recommendation models for improved web page prediction accuracy.

Faten Khalil, Jiuyong Li, Hua Wang

Proceedings of the Computer Science 2008, 2008

(p⁺, α)-sensitive k-anonymity: A new enhanced privacy protection model.

Xiaoxun Sun, Hua Wang, Jiuyong Li, Traian Marius Truta, Ping Li

Proceedings of 8th IEEE International Conference on Computer and Information Technology, 2008

2007

A Fast Algorithm for Finding Correlation Clusters in Noise Data.

Jiuyong Li, Xiaodi Huang, Clinton Selke, Jianming Yong

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

2006

Robust Rule-Based Prediction.

Jiuyong Li

IEEE Trans. Knowl. Data Eng., 2006

On Optimal Rule Discovery.

Jiuyong Li

IEEE Trans. Knowl. Data Eng., 2006

Using multiple and negative target rules to make classifiers more understandable.

Jiuyong Li, Jason Jones

Knowl. Based Syst., 2006

Classification Using Multiple and Negative Target Rules.

Jiuyong Li, Jason Jones

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Combined Gene Selection Methods for Microarray Data Analysis.

Hong Hu, Jiuyong Li, Hua Wang, Grant Daggard

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 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

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Achieving <i>k</i>-Anonymity by Clustering in Attribute Hierarchical Structures.

Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jian Pei

Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

A Framework of Combining Markov Model With Association Rules for Predicting Web Page Accesses.

Faten Khalil, Jiuyong Li, Hua Wang

Proceedings of the Data Mining and Analytics 2006, 2006

A Comparative Study of Classification Methods For Microarray Data Analysis.

Hong Hu, Jiuyong Li, Ashley W. Plank, Hua Wang, Grant Daggard

Proceedings of the Data Mining and Analytics 2006, 2006

Analysis of Breast Feeding Data Using Data Mining Methods.

Hongxing He, Huidong Jin, Jie Chen, Damien McAullay, Jiuyong Li, Tony Fallon

Proceedings of the Data Mining and Analytics 2006, 2006

A framework for role-based group deligation in distributed environments.

Hua Wang, Jiuyong Li, Ron Addie, Stijn Dekeyser, Richard Watson

Proceedings of the Computer Science 2006, 2006

2005

Representing Association Classification Rules Mined from Health Data.

Jie Chen, Hongxing He, Jiuyong Li, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Mining risk patterns in medical data.

Jiuyong Li, Ada Wai-Chee Fu, Hongxing He, Jie Chen, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Finding Similar Patterns in Microarray Data.

Xiangsheng Chen, Jiuyong Li, Grant Daggard, Xiaodi Huang

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

Using Association Rules to Make Rule-based Classifiers Robust.

Hong Hu, Jiuyong Li

Proceedings of the Database Technologies 2005, 2005

2004

Mining Informative Rule Set for Prediction.

Jiuyong Li, Hong Shen, Rodney W. Topor

J. Intell. Inf. Syst., 2004

2003

Direct Interesting Rule Generation.

Jiuyong Li, Yanchun Zhang

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Association Rule Discovery with Unbalanced Class Distributions.

Lifang Gu, Jiuyong Li, Hongxing He, Graham J. Williams, Simon Hawkins, Chris Kelman

Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

2002

Mining the optimal class association rule set.

Jiuyong Li, Hong Shen, Rodney W. Topor

Knowl. Based Syst., 2002

Construct robust rule sets for classification.

Jiuyong Li, Rodney W. Topor, Hong Shen

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

2001

Mining the Smallest Association Rule Set for Predictions.

Jiuyong Li, Hong Shen, Rodney W. Topor

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

1999

Knowledge Network Based Association Discovery (Preliminary Version).

Jiuyong Li, Hong Shen, Paul Pritchard

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1999

Mining Significant Association Rules (Short Version).

Jiuyong Li, Hong Shen, Paul Pritchard

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1999

An Adaptive Method of Numerical Attribute Merging for Quantitative Association Rule Mining.

Jiuyong Li, Hong Shen, Rodney W. Topor

Proceedings of the Internet Applications, 5th International Computer Science Conference, 1999