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

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

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

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

Disentangled contrastive learning for fair graph representations. - Zhang, Guixian; Yuan, Guan; Cheng, Debo; Liu, Lin; Li, Jiuyong; Zhang, Shichao (Neural Networks, 2025)

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

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

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

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

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

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

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

Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning. - Yu, Kui; Ling, Zhaolong; Liu, Lin; Li, Peipei; Wang, Hao; Li, Jiuyong (ACM Trans. Knowl. Discov. Data, 2024)

Partial Label Feature Selection: An Adaptive Approach. - Zhang, Zan; Yao, Jialu; Liu, Lin; Li, Jiuyong; Li, Lei; Wu, Xindong (IEEE Trans. Knowl. Data Eng., 2024)

Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning. - Guo, Xianjie; Yu, Kui; Liu, Lin; Li, Jiuyong; Liang, Jiye; Cao, Fuyuan; Wu, Xindong (IEEE Trans. Knowl. Data Eng., 2024)

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

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

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

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

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

Multi-view Graph Neural Network for Fair Representation Learning. - Zhang, Guixian; Yuan, Guan; Cheng, Debo; He, Ludan; Bing, Rui; Li, Jiuyong; Zhang, Shichao (2024)

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

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

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

A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation Systems. - Chen, Qingfeng; Wei, Boquan; Cheng, Debo; Li, Jiuyong; Liu, Lin; Zhang, Shichao (2024)

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

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

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

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

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

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

Estimating Peer Direct and Indirect Effects in Observational Network Data. - Du, Xiaojing; Li, Jiuyong; Cheng, Debo; Liu, Lin; Gao, Wentao; Chen, Xiongren (CoRR, 2024)

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

Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift. - Deho, Oscar Blessed; Bewong, Michael; Kwashie, Selasi; Li, Jiuyong; Liu, Jixue; Liu, Lin; Joksimovic, Srecko (CoRR, 2024)

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

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

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

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

Mitigating Dual Latent Confounding Biases in Recommender Systems. - Deng, Jianfeng; Chen, Qingfeng; Cheng, Debo; Li, Jiuyong; Liu, Lin; Du, Xiaojing (CoRR, 2024)

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

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

Disentangled Representation Learning for Causal Inference with Instruments. - Cheng, Debo; Li, Jiuyong; Liu, Lin; Xu, Ziqi; Zhang, Weijia; Liu, Jixue; Le, Thuc Duy (CoRR, 2024)

Counterfactual Samples Constructing and Training for Commonsense Statements Estimation. - Liu, Chong; Feng, Zaiwen; Liu, Lin; Deng, Zhenyun; Li, Jiuyong; Zhai, Ruifang; Cheng, Debo; Qin, Li (CoRR, 2024)

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

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

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

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

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

Multi-Label Feature Selection Via Adaptive Label Correlation Estimation. - Zhang, Zan; Zhang, Zhe; Yao, Jialu; Liu, Lin; Li, Jiuyong; Wu, Gongqing; Wu, Xindong (ACM Trans. Knowl. Discov. Data, 2023)

Learning Causal Representations for Robust Domain Adaptation. - Yang, Shuai; Yu, Kui; Cao, Fuyuan; Liu, Lin; Wang, Hao; Li, Jiuyong (IEEE Trans. Knowl. Data Eng., 2023)

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

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

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

Multilabel Feature Selection: A Local Causal Structure Learning Approach. - Yu, Kui; Cai, Mingzhu; Wu, Xingyu; Liu, Lin; Li, Jiuyong (IEEE Trans. Neural Networks Learn. Syst., 2023)

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

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

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

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

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

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

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

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

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

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

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

A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation. - Xu, Tingting; Zhang, Yinghao; Li, Jiuyong; Liu, Lin; Xu, Ziqi; Cheng, Debo; Feng, Zaiwen (2023)

The KDD'23 Workshop on Causal Discovery, Prediction and Decision, 07 August 2023, Long Beach, CA, USA (PMLR, 2023)

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

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

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

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

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

Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. - Cheng, Debo; Xu, Ziqi; Li, Jiuyong; Liu, Lin; Liu, Jixue; Le, Thuc Duy (CoRR, 2023)

Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. - Xu, Ziqi; Cheng, Debo; Li, Jiuyong; Liu, Jixue; Liu, Lin; Yu, Kui (CoRR, 2023)

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

Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. - Cheng, Debo; Xu, Ziqi; Li, Jiuyong; Liu, Lin; Liu, Jixue; Gao, Wentao; Le, Thuc Duy (CoRR, 2023)

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

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling. - Zhang, Weijia; Li, Jiuyong; Liu, Lin (ACM Comput. Surv., 2022)

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

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

Causal learner: A toolbox for causal structure and Markov blanket learning. - Ling, Zhaolong; Yu, Kui; Zhang, Yiwen; Liu, Lin; Li, Jiuyong (Pattern Recognit. Lett., 2022)

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

PSL: An Algorithm for Partial Bayesian Network Structure Learning. - Ling, Zhaolong; Yu, Kui; Liu, Lin; Li, Jiuyong; Zhang, Yiwen; Wu, Xindong (ACM Trans. Knowl. Discov. Data, 2022)

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

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

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

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

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

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

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

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

Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data. - Cheng, Debo; Li, Jiuyong; Liu, Lin; Yu, Kui; Le, Thuc Duy; Liu, Jixue (CoRR, 2022)

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

Disentangled Representation with Causal Constraints for Counterfactual Fairness. - Xu, Ziqi; Liu, Jixue; Cheng, Debo; Li, Jiuyong; Liu, Lin; Wang, Ke (CoRR, 2022)

Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey. - Cheng, Debo; Li, Jiuyong; Liu, Lin; Liu, Jixue; Le, Thuc Duy (CoRR, 2022)

Causal Inference with Conditional Instruments using Deep Generative Models. - Cheng, Debo; Xu, Ziqi; Li, Jiuyong; Liu, Lin; Liu, Jixue; Le, Thuc Duy (CoRR, 2022)

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

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

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

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

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

Causality-based Feature Selection: Methods and Evaluations. - Yu, Kui; Guo, Xianjie; Liu, Lin; Li, Jiuyong; Wang, Hao; Ling, Zhaolong; Wu, Xindong (ACM Comput. Surv., 2021)

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

A Unified View of Causal and Non-causal Feature Selection. - Yu, Kui; Liu, Lin; Li, Jiuyong (ACM Trans. Knowl. Discov. Data, 2021)

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

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

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

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

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

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

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

The KDD 2021 Workshop on Causal Discovery, CD@KDD 2021, Singapore, August 15, 2021. (PMLR, 2021)

Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning. - Ling, Zhaolong; Yu, Kui; Zhang, Yiwen; Liu, Lin; Li, Jiuyong (CoRR, 2021)

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

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

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

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

Correction to: Identifying miRNA synergism using multiple-intervention causal inference. - Zhang, Junpeng; Pham, Vu Viet Hoang; Liu, Lin; Xu, Taosheng; Truong, Buu Minh Thanh; Li, Jiuyong; Rao, Nini; Le, Thuc Duy (BMC Bioinform., 2020)

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

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

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

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

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

Learning Markov Blankets From Multiple Interventional Data Sets. - Yu, Kui; Liu, Lin; Li, Jiuyong (IEEE Trans. Neural Networks Learn. Syst., 2020)

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

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

Building Fair Predictive Models. - Liu, Jixue; Li, Jiuyong; Ye, Feiyue; Liu, Lin; Le, Thuc Duy; Xiong, Ping; Liu, Hong-Cheu (2020)

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

Robust Multi-Instance Learning with Stable Instances. - Zhang, Weijia; Liu, Lin; Li, Jiuyong (2020)

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

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

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

Causal query in observational data with hidden variables. - Cheng, Debo; Li, Jiuyong; Liu, Lin; Liu, Jixue; Yu, Kui; Le, Thuc Duy (CoRR, 2020)

Treatment effect estimation with disentangled latent factors. - Zhang, Weijia; Liu, Lin; Li, Jiuyong (CoRR, 2020)

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

A general framework for causal classification. - Li, Jiuyong; Zhang, Weijia; Liu, Lin; Yu, Kui; Le, Thuc Duy; Liu, Jixue (CoRR, 2020)

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

A unified survey on treatment effect heterogeneity modeling and uplift modeling. - Zhang, Weijia; Li, Jiuyong; Liu, Lin (CoRR, 2020)

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

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

Learning causal representations for robust domain adaptation. - Yang, Shuai; Yu, Kui; Cao, Fuyuan; Liu, Lin; Wang, Hao; Li, Jiuyong (CoRR, 2020)

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

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

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

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

Identifying miRNA synergism using multiple-intervention causal inference. - Zhang, Junpeng; Pham, Vu Viet Hoang; Liu, Lin; Xu, Taosheng; Truong, Buu Minh Thanh; Li, Jiuyong; Rao, Nini; Le, Thuc Duy (BMC Bioinform., 2019)

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

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

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

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

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

CBNA: A control theory based method for identifying coding and non-coding cancer drivers. - Pham, Vu Viet Hoang; Liu, Lin; Bracken, Cameron; Goodall, Gregory J.; Long, Qi; Li, Jiuyong; Le, Thuc Duy (PLoS Comput. Biol., 2019)

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

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

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

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

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

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

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

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

Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, CD@KDD 2019, Anchorage, Alaska, USA, August 5, 2019 (PMLR, 2019)

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

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

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

Causality-based Feature Selection: Methods and Evaluations. - Yu, Kui; Guo, Xianjie; Liu, Lin; Li, Jiuyong; Wang, Hao; Ling, Zhaolong; Wu, Xindong (CoRR, 2019)

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

Estimating heterogeneous treatment effect by balancing heterogeneity and fitness. - Zhang, Weijia; Le, Thuc Duy; Liu, Lin; Li, Jiuyong (BMC Bioinform., 2018)

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

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

Guest Editorial: Special Issue on Causal Discovery 2017. - Liu, Lin; Li, Jiuyong; Zhang, Kun; Kiciman, Emre; Kiyavash, Negar (Int. J. Data Sci. Anal., 2018)

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

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

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

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

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

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

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

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

Efficient Outlier Detection for High-Dimensional Data. - Liu, Huawen; Li, Xuelong; Li, Jiuyong; Zhang, Shichao (IEEE Trans. Syst. Man Cybern. Syst., 2018)

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

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

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

Manipulating Visibility of Political and Apolitical Threads on Reddit via Score Boosting. - Carman, Mark J.; Koerber, Mark; Li, Jiuyong; Choo, Kim-Kwang Raymond; Ashman, Helen (2018)

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

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

Intelligent Information Processing IX - 10th IFIP TC 12 International Conference, IIP 2018, Nanning, China, October 19-22, 2018, Proceedings (Springer, 2018)

Discovering Markov Blanket from Multiple interventional Datasets. - Yu, Kui; Liu, Lin; Li, Jiuyong (CoRR, 2018)

A Unified View of Causal and Non-causal Feature Selection. - Yu, Kui; Liu, Lin; Li, Jiuyong (CoRR, 2018)

Discovering Context Specific Causal Relationships. - Ma, Saisai; Li, Jiuyong; Liu, Lin; Le, Thuc Duy (CoRR, 2018)

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

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

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

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

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

Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer. - Zhang, Junpeng; Le, Thuc Duy; Liu, Lin; Li, Jiuyong (BMC Bioinform., 2017)

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

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

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

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

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

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

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

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

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

A Relative Privacy Model for Effective Privacy Preservation in Transactional Data. - Bewong, Michael; Liu, Jixue; Liu, Lin; Li, Jiuyong; Choo, Kim-Kwang Raymond (2017)

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

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

Identification of miRNA-mRNA regulatory modules by exploring collective group relationships. - Karim, S. M. Masud; Liu, Lin; Le, Thuc Duy; Li, Jiuyong (BMC Genom., 2016)

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

Mining combined causes in large data sets. - Ma, Saisai; Li, Jiuyong; Liu, Lin; Le, Thuc Duy (Knowl. Based Syst., 2016)

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

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

Access Time Oracle for Planar Graphs. - Deng, Ke; Li, Jianxin; Pang, Chaoyi; Li, Jiuyong; Zhou, Xiaofang (IEEE Trans. Knowl. Data Eng., 2016)

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

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

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

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

R-U policy frontiers for health data de-identification. - Xia, Weiyi; Heatherly, Raymond; Ding, Xiaofeng; Li, Jiuyong; Malin, Bradley A. (J. Am. Medical Informatics Assoc., 2015)

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

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

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

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

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

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

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

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

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

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

Causal Decision Trees. - Li, Jiuyong; Ma, Saisai; Le, Thuc Duy; Liu, Lin; Liu, Jixue (CoRR, 2015)

From Observational Studies to Causal Rule Mining. - Li, Jiuyong; Le, Thuc Duy; Liu, Lin; Liu, Jixue; Jin, Zhou; Sun, Bing-Yu; Ma, Saisai (CoRR, 2015)

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

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

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

Inferring condition-specific miRNA activity from matched miRNA and mRNA expression data. - Zhang, Junpeng; Le, Thuc Duy; Liu, Lin; Liu, Bing; He, Jianfeng; Goodall, Gregory J.; Li, Jiuyong (Bioinform., 2014)

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

Identifying direct miRNA-mRNA causal regulatory relationships in heterogeneous data. - Zhang, Junpeng; Le, Thuc Duy; Liu, Lin; Liu, Bing; He, Jianfeng; Goodall, Gregory J.; Li, Jiuyong (J. Biomed. Informatics, 2014)

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

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

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

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

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

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

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

Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, Gold Coast, Australia, QLD, Australia, December 2, 2014 (ACM, 2014)

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

Inferring microRNA and transcription factor regulatory networks in heterogeneous data. - Le, Thuc Duy; Liu, Lin; Liu, Bing; Tsykin, Anna; Goodall, Gregory J.; Satou, Kenji; Li, Jiuyong (BMC Bioinform., 2013)

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

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

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

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

From Association Analysis to Causal Discovery. - Li, Jiuyong (2013)

Efficient discovery of de-identification policy options through a risk-utility frontier. - Xia, Weiyi; Heatherly, Raymond; Ding, Xiaofeng; Li, Jiuyong; Malin, Bradley A. (2013)

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

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

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

Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers (Springer, 2013)

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

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

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

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

IMPACT: A Novel Clustering Algorithm based on Attraction. - Tran, Vu Anh; Clemente, José Carlos; Nguyen, Duc Thuan; Li, Jiuyong; Dang, Xuan Tho; Le, Thi Tu Kien; Nguyen, Thi Lan Anh; Saethang, Thammakorn; Kubo, Mamoru; Yamada, Yoichi; Satou, Kenji (J. Comput., 2012)

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

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

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

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

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

Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, Australia, December 5-7, 2012 (Australian Computer Society, 2012)

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

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

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

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

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

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

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

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

Validating Privacy Requirements in Large Survey Rating Data. - Sun, Xiaoxun; Wang, Hua; Li, Jiuyong (2011)

AI 2010: Advances in Artificial Intelligence - 23rd Australasian Joint Conference, Adelaide, Australia, December 7-10, 2010. Proceedings (Springer, 2011)

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

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

Feature fusion using locally linear embedding for classification. - Sun, Bing-Yu; Zhang, Xiaoming; Li, Jiuyong; Mao, Xue-Min (IEEE Trans. Neural Networks, 2010)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

L-Diversity Based Dynamic Update for Large Time-Evolving Microdata. - Sun, Xiaoxun; Wang, Hua; Li, Jiuyong (2008)

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

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

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

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

Data Mining and Analytics 2008, Proceedings of the Seventh Australasian Data Mining Conference (AusDM 2008). Glenelg/Adelaide, SA, Australia, 27-28 November 2008, Proceedings (Australian Computer Society, 2008)

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

Data Mining and Analytics 2007, Proceedings of the Sixth Australasian Data Mining Conference (AusDM 2007), Gold Coast, Queensland, Australia, December 3-4, 2007, Proceedings (Australian Computer Society, 2007)

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

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

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

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

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

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

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

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

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

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

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

Data Mining and Analytics 2006, Proceedings of the Fifth Australasian Data Mining Conference (AusDM2006), Sydney, NSW, Australia, 29-30 November, 2006, Proceedings (Australian Computer Society, 2006)

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

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

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

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

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

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

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

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

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

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

Mining Optimal Class Association Rule Set. - Li, Jiuyong; Shen, Hong; Topor, Rodney W. (2001)

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

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

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