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

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

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

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

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

Diffusion Models for Attribution - Xiongren Chen; Jiuyong Li; Jixue Liu; Lin Liu; Stefan Peters; Thuc Duy Le; Wentao Gao; Xiaojing Du; Anthony Walsh (AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA, 2025)

Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders - Haolin Wang; Lin Liu; Jiuyong Li; Ziqi Xu; Jixue Liu; Zehong Cao; Debo Cheng (Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025, 2025)

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

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., 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., 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, 2024)

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

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, 2024)

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

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

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

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

Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data - Debo Cheng; Jiuyong Li; Lin Liu; Kui Yu; Thuc Duy Le; Jixue Liu (IEEE Trans. Neural Networks Learn. Syst., 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 (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning - Xianjie Guo; Kui Yu; Lin Liu; Jiuyong Li (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Multi-view Graph Neural Network for Fair Representation Learning - Guixian Zhang; Guan Yuan; Debo Cheng; Ludan He; Rui Bing; Jiuyong Li; Shichao Zhang (Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part III, 2024)

Improving Intersectional Group Fairness Using Conditional Generative Adversarial Network and Transfer Learning - David Quashigah Dzakpasu; Jixue Liu; Jiuyong Li; Lin Liu (AI 2024: Advances in Artificial Intelligence - 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024, Proceedings, Part I, 2024)

TSI: A Multi-view Representation Learning Approach for Time Series Forecasting - Wentao Gao; Ziqi Xu; Jiuyong Li; Lin Liu; Jixue Liu; Thuc Duy Le; Debo Cheng; Yanchang Zhao; Yun Chen (AI 2024: Advances in Artificial Intelligence - 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024, Proceedings, Part I, 2024)

Integrating Fair Representation Learning with Fairness Regularization for Intersectional Group Fairness - David Quashigah Dzakpasu; Jixue Liu; Jiuyong Li; Lin Liu (Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024, 2024)

A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation Systems - Qingfeng Chen; Boquan Wei; Debo Cheng; Jiuyong Li; Lin Liu; Shichao Zhang (IEEE International Conference on Data Mining, ICDM 2024, Abu Dhabi, United Arab Emirates, December 9-12, 2024, 2024)

Conditional Instrumental Variable Regression with Representation Learning for Causal Inference - Debo Cheng; Ziqi Xu; Jiuyong Li; Lin Liu; Jixue Liu; Thuc Duy Le (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder - Ziqi Xu; Debo Cheng; Jiuyong Li; Jixue Liu; Lin Liu; Kui Yu (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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)

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., 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., 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, 2023)

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

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

Causal Inference with Conditional Instruments Using Deep Generative Models - Debo Cheng; Ziqi Xu; Jiuyong Li; Lin Liu; Jixue Liu; Thuc Duy Le (Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, 2023)

Disentangled Representation for Causal Mediation Analysis - Ziqi Xu; Debo Cheng; Jiuyong Li; Jixue Liu; Lin Liu; Ke Wang (Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, 2023)

Causal Disentanglement for Adversarial Defense - Ji-Young Park; Lin Liu; Jixue Liu; Jiuyong Li (AI 2023: Advances in Artificial Intelligence - 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, November 28 - December 1, 2023, Proceedings, Part I, 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 (IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023, 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 (IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023, 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, KDD 2023, Long Beach, CA, USA, August 6-10, 2023, 2023)

Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision - Thuc Duy Le; Jiuyong Li; Robert Osazuwa Ness; Sofia Triantafillou; Shohei Shimizu; Peng Cui; Kun Kuang; Jian Pei; Fei Wang; Mattia Prosperi (The KDD'23 Workshop on Causal Discovery, Prediction and Decision, 07 August 2023, Long Beach, CA, USA, 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, Copenhagen, Denmark, July 20-22, 2023, 2023)

Disentangled Representation with Causal Constraints for Counterfactual Fairness - Ziqi Xu; Jixue Liu; Debo Cheng; Jiuyong Li; Lin Liu; Ke Wang (Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part I, 2023)

Learning Conditional Instrumental Variable Representation for Causal Effect Estimation - Debo Cheng; Ziqi Xu; Jiuyong Li; Lin Liu; Thuc Duy Le; Jixue Liu (Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part I, 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 (Web Information Systems Engineering - WISE 2023 - 24th International Conference, Melbourne, VIC, Australia, October 25-27, 2023, Proceedings, 2023)

The KDD'23 Workshop on Causal Discovery, Prediction and Decision, 07 August 2023, Long Beach, CA, USA - Thuc Duy Le; Jiuyong Li; Robert Osazuwa Ness; Sofia Triantafillou; Shohei Shimizu; Peng Cui; Kun Kuang; Jian Pei; Fei Wang; Mattia Prosperi (PMLR, 2023)

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

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)

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

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)

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)

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)

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)

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)

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

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

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

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

Randomize Adversarial Defense in a Light Way - Ji-Young Park; Lin Liu; Jixue Liu; Jiuyong Li (IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022, 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 (IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022, 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 (GoodIT 2022: ACM International Conference on Information Technology for Social Good, Limassol, Cyprus, September 7 - 9, 2022, 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, IJCAI 2022, Vienna, Austria, 23-29 July 2022, 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 (KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022, 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 (Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part III, 2022)

Assessing Classifier Fairness with Collider Bias - Zhenlong Xu; Ziqi Xu; Jixue Liu; Debo Cheng; Jiuyong Li; Lin Liu; Ke Wang (Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part II, 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)

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)

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

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

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

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

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)

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)

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)

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)

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)

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)

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)

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

Treatment Effect Estimation with Disentangled Latent Factors - Weijia Zhang; Lin Liu; Jiuyong Li (Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, 2021)

Training Neural Networks with Random Noise Images for Adversarial Robustness - Ji-Young Park; Lin Liu; Jiuyong Li; Jixue Liu (CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, 2021)

Divide and Conquer: Targeted Adversary Detection using Proximity and Dependency - Sha Lu; Lin Liu; Jiuyong Li; Thuc Duy Le; Jixue Liu (2021 IEEE International Conference on Big Knowledge, ICBK 2021, Auckland, New Zealand, December 7-8, 2021, 2021)

Message from the IEEE SmartData 2021 General Chairs: iThings-GreenCom-CPSCom-SmartData-Cybermatics 2021 - Jiuyong Li; Aniello Castiglione (2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), Melbourne, Australia, December 6-8, 2021, 2021)

Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery - Thuc Duy Le; Jiuyong Li; Gregory F. Cooper; Sofia Triantafyllou; Elias Bareinboim; Huan Liu; Negar Kiyavash (The KDD 2021 Workshop on Causal Discovery, CD@KDD 2021, Singapore, August 15, 2021, 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 (KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021, 2021)

The KDD 2021 Workshop on Causal Discovery (CD2021) - Thuc Duy Le; Jiuyong Li; Gregory F. Cooper; Sofia Triantafillou; Elias Bareinboim; Huan Liu; Negar Kiyavash (KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021, 2021)

The KDD 2021 Workshop on Causal Discovery, CD@KDD 2021, Singapore, August 15, 2021 - Thuc Duy Le; Jiuyong Li; Gregory F. Cooper; Sofia Triantafyllou; Elias Bareinboim; Huan Liu; Negar Kiyavash (PMLR, 2021)

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

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

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

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

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

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

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

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

Leveraging burst in twitter network communities for event detection - Jeffery Ansah; Lin Liu; Wei Kang; Jixue Liu; Jiuyong Li (World Wide Web, 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 (Advanced Data Mining and Applications - 16th International Conference, ADMA 2020, Foshan, China, November 12-14, 2020, Proceedings, 2020)

Building Fair Predictive Models - Jixue Liu; Jiuyong Li; Feiyue Ye; Lin Liu; Thuc Duy Le; Ping Xiong; Hong-Cheu Liu (AI 2020: Advances in Artificial Intelligence - 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29-30, 2020, Proceedings, 2020)

Intervention Recommendation for Improving Disability Employment - Ha Xuan Tran; Thuc Duy Le; Jiuyong Li; Lin Liu; Jixue Liu; Yanchang Zhao; Tony Waters (2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020, 2020)

Robust Multi-Instance Learning with Stable Instances - Weijia Zhang; Lin Liu; Jiuyong Li (ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020), 2020)

Causal Query in Observational Data with Hidden Variables - Debo Cheng; Jiuyong Li; Lin Liu; Jixue Liu; Kui Yu; Thuc Duy Le (ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020), 2020)

LoPAD: A Local Prediction Approach to Anomaly Detection - Sha Lu; Lin Liu; Jiuyong Li; Thuc Duy Le; Jixue Liu (Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part II, 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, SIGIR 2020, Virtual Event, China, July 25-30, 2020, 2020)

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

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

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

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

Sufficient Dimension Reduction for Average Causal Effect Estimation - Debo Cheng; Jiuyong Li; Lin Liu; 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)

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

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

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)

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)

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 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)

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)

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

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

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

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

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

A Fast PC Algorithm for High Dimensional Causal Discovery with Multi-Core PCs - Thuc Duy Le; Tao Hoang; Jiuyong Li; Lin Liu; Huawen Liu; Shu Hu (IEEE ACM Trans. Comput. Biol. Bioinform., 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 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, CIKM 2019, Beijing, China, November 3-7, 2019, 2019)

Linking Graph Entities with Multiplicity and Provenance - Jixue Liu; Selasi Kwashie; Jiuyong Li; Lin Liu; Michael Bewong (Proceedings of the 2nd International Workshop on EntitY REtrieval co-located with 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), Beijing, China, November 3, 2019, 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, CD@KDD 2019, Anchorage, Alaska, USA, August 5, 2019, 2019)

Semantic Explanations in Ensemble Learning - Md Zahidul Islam; Jixue Liu; Lin Liu; Jiuyong Li; Wei Kang (Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I, 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 (The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019, 2019)

Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, CD@KDD 2019, Anchorage, Alaska, USA, August 5, 2019 - Thuc Duy Le; Jiuyong Li; Kun Zhang; Emre Kiciman; Peng Cui; Aapo Hyvärinen (PMLR, 2019)

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

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

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

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

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)

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)

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)

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

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

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

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

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

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

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

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

Effective Outlier Detection based on Bayesian Network and Proximity - Sha Lu; Lin Liu; Jiuyong Li; Thuc Duy Le (IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018, 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 (Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2018 Workshops, BDASC, BDM, ML4Cyber, PAISI, DaMEMO, Melbourne, VIC, Australia, June 3, 2018, Revised Selected Papers, 2018)

Information Propagation Trees for Protest Event Prediction - Jeffery Ansah; Wei Kang; Lin Liu; Jixue Liu; Jiuyong Li (Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part III, 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 (17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications / 12th IEEE International Conference On Big Data Science And Engineering, TrustCom/BigDataSE 2018, New York, NY, USA, August 1-3, 2018, 2018)

SensorTree: Bursty Propagation Trees as Sensors for Protest Event Detection - Jeffery Ansah; Wei Kang; Lin Liu; Jixue Liu; Jiuyong Li (Web Information Systems Engineering - WISE 2018 - 19th International Conference, Dubai, United Arab Emirates, November 12-15, 2018, Proceedings, Part I, 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 (Web Information Systems Engineering - WISE 2018 - 19th International Conference, Dubai, United Arab Emirates, November 12-15, 2018, Proceedings, Part I, 2018)

Intelligent Information Processing IX - 10th IFIP TC 12 International Conference, IIP 2018, Nanning, China, October 19-22, 2018, Proceedings - Zhongzhi Shi; Eunika Mercier-Laurent; Jiuyong Li (Springer, 2018)

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

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

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

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

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

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)

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)

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

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

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 (Advanced Data Mining and Applications - 13th International Conference, ADMA 2017, Singapore, November 5-6, 2017, Proceedings, 2017)

Discrimination detection by causal effect estimation - Jiuyong Li; Jixue Liu; Lin Liu; Thuc Duy Le; Saisai Ma; Yizhao Han (2017 IEEE International Conference on Big Data (IEEE BigData 2017), Boston, MA, USA, December 11-14, 2017, 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, Nha Trang City, Viet Nam, December 7-8, 2017, 2017)

Utility Aware Clustering for Publishing Transactional Data - Michael Bewong; Jixue Liu; Lin Liu; Jiuyong Li (Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part II, 2017)

A Relative Privacy Model for Effective Privacy Preservation in Transactional Data - Michael Bewong; Jixue Liu; Lin Liu; Jiuyong Li; Kim-Kwang Raymond Choo (2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017)

Beyond Understanding and Prediction: Data Mining for Action - Jiuyong Li (Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017, 2017)

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

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

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

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)

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

An Effective Spatio-Temporal Approach for Predicting Future Semantic Locations - Hamidu Abdel-Fatao; Jiuyong Li; Jixue Liu; Ashfaqur Rahman (Databases Theory and Applications - 27th Australasian Database Conference, ADC 2016, Sydney, NSW, Australia, September 28-29, 2016, Proceedings, 2016)

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

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

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)

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

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

Conditional Differential Dependencies (CDDs) - Selasi Kwashie; Jixue Liu; Jiuyong Li; Feiyue Ye (Advances in Databases and Information Systems - 19th East European Conference, ADBIS 2015, Poitiers, France, September 8-11, 2015, Proceedings, 2015)

Efficient Discovery of Differential Dependencies Through Association Rules Mining - Selasi Kwashie; Jixue Liu; Jiuyong Li; Feiyue Ye (Databases Theory and Applications - 26th Australasian Database Conference, ADC 2015, Melbourne, VIC, Australia, June 4-7, 2015. Proceedings, 2015)

Unifying Spatial, Temporal and Semantic Features for an Effective GPS Trajectory-Based Location Recommendation - Hamidu Abdel-Fatao; Jiuyong Li; Jixue Liu (Databases Theory and Applications - 26th Australasian Database Conference, ADC 2015, Melbourne, VIC, Australia, June 4-7, 2015. Proceedings, 2015)

Efficient Mining of Non-derivable Emerging Patterns - Vincent Mwintieru Nofong; Jixue Liu; Jiuyong Li (Databases Theory and Applications - 26th Australasian Database Conference, ADC 2015, Melbourne, VIC, Australia, June 4-7, 2015. Proceedings, 2015)

Secure Outsourced Frequent Pattern Mining by Fully Homomorphic Encryption - Junqiang Liu; Jiuyong Li; Shijian Xu; Benjamin C. M. Fung (Big Data Analytics and Knowledge Discovery - 17th International Conference, DaWaK 2015, Valencia, Spain, September 1-4, 2015, Proceedings, 2015)

STMM: Semantic and Temporal-Aware Markov Chain Model for Mobility Prediction - Hamidu Abdel-Fatao; Jiuyong Li; Jixue Liu (Data Science - Second International Conference, ICDS 2015 Sydney, Australia, August 8-9, 2015. Proceedings, 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 (Medical Data Privacy Handbook, 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)

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

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

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

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

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

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

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

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

Mining Differential Dependencies: A Subspace Clustering Approach - Selasi Kwashie; Jixue Liu; Jiuyong Li; Feiyue Ye (Databases Theory and Applications - 25th Australasian Database Conference, ADC 2014, Brisbane, QLD, Australia, July 14-16, 2014. Proceedings, 2014)

A Study on the Applications of Emerging Sequential Patterns - Vincent Mwintieru Nofong; Jixue Liu; Jiuyong Li (Databases Theory and Applications - 25th Australasian Database Conference, ADC 2014, Brisbane, QLD, Australia, July 14-16, 2014. Proceedings, 2014)

Discovering Collective Group Relationships - S. M. Masud Karim; Lin Liu; Jiuyong Li (Databases Theory and Applications - 25th Australasian Database Conference, ADC 2014, Brisbane, QLD, Australia, July 14-16, 2014. Proceedings, 2014)

Logics for Representing Data Mining Tasks in Inductive Databases - Hong-Cheu Liu; Millist W. Vincent; Jixue Liu; Jiuyong Li (Databases Theory and Applications - 25th Australasian Database Conference, ADC 2014, Brisbane, QLD, Australia, July 14-16, 2014. Proceedings, 2014)

Top-k Similarity Matching in Large Graphs with Attributes - Xiaofeng Ding; Jianhong Jia; Jiuyong Li; Jixue Liu; Hai Jin (Database Systems for Advanced Applications - 19th International Conference, DASFAA 2014, Bali, Indonesia, April 21-24, 2014. Proceedings, Part II, 2014)

Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, Gold Coast, Australia, QLD, Australia, December 2, 2014 - Ashfaqur Rahman; Jeremiah D. Deng; Jiuyong Li (ACM, 2014)

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)

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)

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

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

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

A Two-Layer Multi-dimensional Trustworthiness Metric for Web Service Composition - Han Jiao; Jixue Liu; Jiuyong Li; Chengfei Liu (Web Technologies and Applications - 15th Asia-Pacific Web Conference, APWeb 2013, Sydney, Australia, April 4-6, 2013. Proceedings, 2013)

From Association Analysis to Causal Discovery - Jiuyong Li (Workshop on Machine Learning for Sensory Data Analysis, MLSDA '13, Dunedin, New Zealand, December 2, 2013, 2013)

Efficient discovery of de-identification policy options through a risk-utility frontier - Weiyi Xia; Raymond Heatherly; Xiaofeng Ding; Jiuyong Li; Bradley A. Malin (Third ACM Conference on Data and Application Security and Privacy, CODASPY'13, San Antonio, TX, USA, February 18-20, 2013, 2013)

Distributed Anonymization for Multiple Data Providers in a Cloud System - Xiaofeng Ding; Qing Yu; Jiuyong Li; Jixue Liu; Hai Jin (Database Systems for Advanced Applications, 18th International Conference, DASFAA 2013, Wuhan, China, April 22-25, 2013. Proceedings, Part I, 2013)

Mining Causal Association Rules - Jiuyong Li; Thuc Duy Le; Lin Liu; Jixue Liu; Zhou Jin; Bing-Yu Sun (13th IEEE International Conference on Data Mining Workshops, ICDM Workshops, TX, USA, December 7-10, 2013, 2013)

Exploring Groups from Heterogeneous Data via Sparse Learning - Huawen Liu; Jiuyong Li; Lin Liu; Jixue Liu; Ivan Lee; Jianmin Zhao (Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I, 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 - Jiuyong Li; Longbing Cao; Can Wang; Kay Chen Tan; Bo Liu; Jian Pei; Vincent S. Tseng (Springer, 2013)

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

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)

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

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

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

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

A 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 (Web Technologies and Applications - 14th Asia-Pacific Web Conference, APWeb 2012, Kunming, China, April 11-13, 2012. Proceedings, 2012)

Data Privacy against Composition Attack - Muzammil M. Baig; Jiuyong Li; Jixue Liu; Xiaofeng Ding; Hua Wang (Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, Busan, South Korea, April 15-19, 2012, Proceedings, Part I, 2012)

Discovery of Causal Rules Using Partial Association - Zhou Jin; Jiuyong Li; Lin Liu; Thuc Duy Le; Bing-Yu Sun; Rujing Wang (12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012, 2012)

Give Rookies A Chance: A Trust-Based Institutional Online Supplier Recommendation Framework - Han Jiao; Jixue Liu; Jiuyong Li; Chengfei Liu (Information Security and Privacy Research - 27th IFIP TC 11 Information Security and Privacy Conference, SEC 2012, Heraklion, Crete, Greece, June 4-6, 2012. Proceedings, 2012)

Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, Australia, December 5-7, 2012 - Yanchang Zhao; Jiuyong Li; Paul J. Kennedy; Peter Christen (Australian Computer Society, 2012)

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

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

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

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

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

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, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011, 2011)

Recognize Trustworthy Web Services Via Institutions - Han Jiao; Jixue Liu; Jiuyong Li (ICEIS 2011 - Proceedings of the 13th International Conference on Enterprise Information Systems, Volume 4, Beijing, China, 8-11 June, 2011, 2011)

A Framework for Reputation Bootstrapping Based on Reputation Utility and Game Theories - Han Jiao; Jixue Liu; Jiuyong Li; Chengfei Liu (IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2011, Changsha, China, 16-18 November, 2011, 2011)

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

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

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)

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

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

On the Effectiveness of Gene Selection for Microarray Classification Methods - Zhongwei Zhang; Jiuyong Li; Hong Hu; Hong Zhou (Intelligent Information and Database Systems, Second International Conference, ACIIDS, Hue City, Vietnam, March 24-26, 2010. Proceedings, Part II, 2010)

Spectral representation of DNA sequences and its application - Zhujin Zhang; Lin Liu; Jiuyong Li; Zheng Zhang (Fifth International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010, University of Hunan, Liverpool Hope University, Liverpool, United Kingdom / Changsha, China, September 8-10 and September 23-26, 2010, 2010)

Satisfying Privacy Requirements: One Step before Anonymization - Xiaoxun Sun; Hua Wang; Jiuyong Li (Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part I, 2010)

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

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

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

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

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

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

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

Microdata Protection Through Approximate Microaggregation - Xiaoxun Sun; Hua Wang; Jiuyong Li (Computer Science 2009, Thirty-Second Australasian Computer Science Conference (ACSC 2009), Wellington, New Zealand, January 19-23, 2009, Proceedings, 2009)

Studying Genotype-Phenotype Attack on k-anonymised Medical and Genomic Data - Muzammil M. Baig; Jiuyong Li; Jixue Liu; Hua Wang (Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, Australia, December 2009, 2009)

Building a Generic Graph-based Descriptor Set for use in Drug Discovery - Phillip Lock; Nicolas Le Mercier; Jiuyong Li; Markus Stumptner (Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, Australia, December 2009, 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, CIKM 2009, Hong Kong, China, November 2-6, 2009, 2009)

Achieving P-Sensitive K-Anonymity via Anatomy - Xiaoxun Sun; Hua Wang; Jiuyong Li; David Ross (2009 IEEE International Conference on e-Business Engineering, ICEBE 2009, Macau, China, 21-23 October 2009, 2009)

Finding Irredundant Contained Rewritings of Tree Pattern Queries Using Views - Junhu Wang; Kewen Wang; Jiuyong Li (Advances in Data and Web Management, Joint International Conferences, APWeb/WAIM 2009, Suzhou, China, April 2-4, 2009, Proceedings, 2009)

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

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

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)

(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, CIT 2008, Sydney, Australia, July 8-11, 2008, 2008)

Integrating recommendation models for improved web page prediction accuracy - Faten Khalil; Jiuyong Li; Hua Wang (Computer Science 2008, Thirty-First Australasian Computer Science Conference (ACSC2008), Wollongong, NSW, Australia, January 22-25, 2008, 2008)

On the Complexity of Restricted k-anonymity Problem - Xiaoxun Sun; Hua Wang; Jiuyong Li (Progress in WWW Research and Development, 10th Asia-Pacific Web Conference, APWeb 2008, Shenyang, China, April 26-28, 2008. Proceedings, 2008)

L-Diversity Based Dynamic Update for Large Time-Evolving Microdata - Xiaoxun Sun; Hua Wang; Jiuyong Li (AI 2008: Advances in Artificial Intelligence, 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand, December 1-5, 2008. Proceedings, 2008)

Priority Driven K-Anonymisation for Privacy Protection - Xiaoxun Sun; Hua Wang; Jiuyong Li (Data Mining and Analytics 2008, Proceedings of the Seventh Australasian Data Mining Conference (AusDM 2008). Glenelg/Adelaide, SA, Australia, 27-28 November 2008, Proceedings, 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, CSCWD 2008, April 16-18, 2008, Nanyang Hotel, Xi'an Jiaotong University, Xi'an, China, 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, CSCWD 2008, April 16-18, 2008, Nanyang Hotel, Xi'an Jiaotong University, Xi'an, China, 2008)

A Role-Based Framework for Multi-agent Teaming - Jinsong Leng; Jiuyong Li; Lakhmi C. Jain (Knowledge-Based Intelligent Information and Engineering Systems, 12th International Conference, KES 2008, Zagreb, Croatia, September 3-5, 2008, Proceedings, Part III, 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 - John F. Roddick; Jiuyong Li; Peter Christen; Paul J. Kennedy (Australian Computer Society, 2008)

A Fast Algorithm for Finding Correlation Clusters in Noise Data - Jiuyong Li; Xiaodi Huang; Clinton Selke; Jianming Yong (Advances in Knowledge Discovery and Data Mining, 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings, 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 - Peter Christen; Paul J. Kennedy; Jiuyong Li; Inna Kolyshkina; Graham J. Williams (Australian Computer Society, 2007)

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

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

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

A framework for role-based group deligation in distributed environments - Hua Wang; Jiuyong Li; Ron Addie; Stijn Dekeyser; Richard Watson (Computer Science 2006, Twenty-Nineth Australasian Computer Science Conference (ACSC2006), Hobart, Tasmania, Australia, January 16-19 2006, 2006)

A Comparative Study of Classification Methods For Microarray Data Analysis - Hong Hu; Jiuyong Li; Ashley W. Plank; Hua Wang; Grant Daggard (Data Mining and Analytics 2006, Proceedings of the Fifth Australasian Data Mining Conference (AusDM2006), Sydney, NSW, Australia, 29-30 November, 2006, Proceedings, 2006)

Analysis of Breast Feeding Data Using Data Mining Methods - Hongxing He; Huidong Jin; Jie Chen; Damien McAullay; Jiuyong Li; Tony Fallon (Data Mining and Analytics 2006, Proceedings of the Fifth Australasian Data Mining Conference (AusDM2006), Sydney, NSW, Australia, 29-30 November, 2006, Proceedings, 2006)

A Framework of Combining Markov Model With Association Rules for Predicting Web Page Accesses - Faten Khalil; Jiuyong Li; Hua Wang (Data Mining and Analytics 2006, Proceedings of the Fifth Australasian Data Mining Conference (AusDM2006), Sydney, NSW, Australia, 29-30 November, 2006, Proceedings, 2006)

Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures - Jiuyong Li; Raymond Chi-Wing Wong; Ada Wai-Chee Fu; Jian Pei (Data Warehousing and Knowledge Discovery, 8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006, Proceedings, 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, Philadelphia, PA, USA, August 20-23, 2006, 2006)

Classification Using Multiple and Negative Target Rules - Jiuyong Li; Jason Jones (Knowledge-Based Intelligent Information and Engineering Systems, 10th International Conference, KES 2006, Bournemouth, UK, October 9-11, 2006, Proceedings, Part I, 2006)

Combined Gene Selection Methods for Microarray Data Analysis - Hong Hu; Jiuyong Li; Hua Wang; Grant Daggard (Knowledge-Based Intelligent Information and Engineering Systems, 10th International Conference, KES 2006, Bournemouth, UK, October 9-11, 2006, Proceedings, Part I, 2006)

Data Mining and Analytics 2006, Proceedings of the Fifth Australasian Data Mining Conference (AusDM2006), Sydney, NSW, Australia, 29-30 November, 2006, Proceedings - Peter Christen; Paul J. Kennedy; Jiuyong Li; Simeon J. Simoff; Graham J. Williams (Australian Computer Society, 2006)

Using Association Rules to Make Rule-based Classifiers Robust - Hong Hu; Jiuyong Li (Database Technologies 2005, Proceedings of the Sixteenth Australasian Database Conference, ADC 2005, Newcastle, Australia, January 31st - February 3rd 2005, 2005)

Finding Similar Patterns in Microarray Data - Xiangsheng Chen; Jiuyong Li; Grant Daggard; Xiaodi Huang (AI 2005: Advances in Artificial Intelligence, 18th Australian Joint Conference on Artificial Intelligence, Sydney, Australia, December 5-9, 2005, Proceedings, 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, Chicago, Illinois, USA, August 21-24, 2005, 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 (Knowledge-Based Intelligent Information and Engineering Systems, 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings, Part III, 2005)

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

Association Rule Discovery with Unbalanced Class Distributions - Lifang Gu; Jiuyong Li; Hongxing He; Graham J. Williams; Simon Hawkins; Chris Kelman (AI 2003: Advances in Artificial Intelligence, 16th Australian Conference on Artificial Intelligence, Perth, Australia, December 3-5, 2003, Proceedings, 2003)

Direct Interesting Rule Generation - Jiuyong Li; Yanchun Zhang (Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 19-22 December 2003, Melbourne, Florida, USA, 2003)

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, July 23-26, 2002, Edmonton, Alberta, Canada, 2002)

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 - 2 December 2001, San Jose, California, USA, 2001)

Mining Optimal Class Association Rule Set - Jiuyong Li; Hong Shen; Rodney W. Topor (Knowledge Discovery and Data Mining - PAKDD 2001, 5th Pacific-Asia Conference, Hong Kong, China, April 16-18, 2001, Proceedings, 2001)

An Adaptive Method of Numerical Attribute Merging for Quantitative Association Rule Mining - Jiuyong Li; Hong Shen; Rodney W. Topor (Internet Applications, 5th International Computer Science Conference, ICSC'99, Hong Kong, China, December 13-15, 1999, Proceedings, 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, PDPTA 1999, June 28 - July 1, 1999, Las Vegas, Nevada, USA, 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, PDPTA 1999, June 28 - July 1, 1999, Las Vegas, Nevada, USA, 1999)