| 2026 | AAAI | Learning Fair Graph Representations via Probability of Necessity and Sufficiency. | Chuxun Liu, Qingfeng Chen, Debo Cheng, Jiangzhang Gan, Jiuyong Li, Lin Liu |
| 2026 | ACL | Trustworthy and Explainable Causal Representation Learning in Transformers. | Yang Liu, Yinghao Zhang, Lin Liu, Jiuyong Li, Debo Cheng, Zaiwen Feng |
| 2026 | WWW | Multistage Feedback-Driven Causal Discovery from Textual Data with Large Language Models. | Juntao Yang, Dayuan Cao, Kui Yu, Xiang Wang, Jing Yang, Lin Liu, Jiuyong Li |
| 2025 | AAAI | Diffusion Models for Attribution. | Xiongren Chen, Jiuyong Li, Jixue Liu, Lin Liu, Stefan Peters, Thuc Duy Le, Wentao Gao, Xiaojing Du, Anthony Walsh |
| 2025 | AusDM | Causal Recommendation Method for Personalised Chemotherapy Optimisation in Breast Cancer. | Tuyen Vu, Thuc Duy Le, Ha Xuan Tran, Lin Liu, Jiuyong Li, Jia Tina Du |
| 2025 | CIKM | Mitigating Latent Confounding Bias in Recommender Systems. | Jianfeng Deng, Qingfeng Chen, Debo Cheng, Xiaojing Du, Jiuyong Li, Lin Liu |
| 2025 | ECAI | From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction. | Wentao Gao, Jiuyong Li, Lin Liu, Thuc Duy Le, Xiongren Chen, Xiaojing Du, Jixue Liu, Yanchang Zhao, Yun Chen |
| 2025 | EMNLP | Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems. | Jianfeng Deng, Qingfeng Chen, Debo Cheng, Jiuyong Li, Lin Liu |
| 2025 | ICML | Telling Peer Direct Effects from Indirect Effects in Observational Network Data. | Xiaojing Du, Jiuyong Li, Debo Cheng, Lin Liu, Wentao Gao, Xiongren Chen, Ziqi Xu |
| 2025 | IJCAI | Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction. | Wentao Gao, Jiuyong Li, Debo Cheng, Lin Liu, Jixue Liu, Thuc Duy Le, Xiaojing Du, Xiongren Chen, Yun Chen, Yanchang Zhao |
| 2025 | IJCAI | Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems. | Zhirong Huang, Debo Cheng, Lin Liu, Jiuyong Li, Guangquan Lu, Shichao Zhang |
| 2025 | WWW | 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 |
| 2024 | AAAI | 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 |
| 2024 | AAAI | FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning. | Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li |
| 2024 | APWEB | Multi-view Graph Neural Network for Fair Representation Learning. | Guixian Zhang, Guan Yuan, Debo Cheng, Ludan He, Rui Bing, Jiuyong Li, Shichao Zhang |
| 2024 | CIKM | Integrating Fair Representation Learning with Fairness Regularization for Intersectional Group Fairness. | David Quashigah Dzakpasu, Jixue Liu, Jiuyong Li, Lin Liu |
| 2024 | ICDM | A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation Systems. | Qingfeng Chen, Boquan Wei, Debo Cheng, Jiuyong Li, Lin Liu, Shichao Zhang |
| 2024 | ICLR | Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. | Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le |
| 2024 | ICLR | Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. | Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu |
| 2023 | AAAI | Causal Inference with Conditional Instruments Using Deep Generative Models. | Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le |
| 2023 | AAAI | Disentangled Representation for Causal Mediation Analysis. | Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang |
| 2023 | ICDM | 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 |
| 2023 | KDD | 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 |
| 2023 | PAKDD | Disentangled Representation with Causal Constraints for Counterfactual Fairness. | Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang |
| 2023 | WISE | 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 |
| 2022 | IJCAI | Ancestral Instrument Method for Causal Inference without Complete Knowledge. | Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu |
| 2022 | KDD | 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 |
| 2022 | PAKDD | 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 |
| 2022 | PAKDD | Assessing Classifier Fairness with Collider Bias. | Zhenlong Xu, Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang |
| 2021 | AAAI | Treatment Effect Estimation with Disentangled Latent Factors. | Weijia Zhang, Lin Liu, Jiuyong Li |
| 2021 | CIKM | Training Neural Networks with Random Noise Images for Adversarial Robustness. | Ji-Young Park, Lin Liu, Jiuyong Li, Jixue Liu |
| 2021 | KDD | 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 |
| 2021 | KDD | The KDD 2021 Workshop on Causal Discovery (CD2021). | Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash |
| 2021 | KDD | 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 |
| 2020 | ADMA | 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 |
| 2020 | ECAI | Causal Query in Observational Data with Hidden Variables. | Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le |
| 2020 | ECAI | Robust Multi-Instance Learning with Stable Instances. | Weijia Zhang, Lin Liu, Jiuyong Li |
| 2020 | PAKDD | LoPAD: A Local Prediction Approach to Anomaly Detection. | Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu |
| 2020 | SIGIR | Evidence Weighted Tree Ensembles for Text Classification. | Md Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang |
| 2019 | CIKM | A Semantics Aware Random Forest for Text Classification. | Md Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang |
| 2019 | KDD | Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery. | Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvrinen |
| 2019 | PAKDD | Semantic Explanations in Ensemble Learning. | Md Zahidul Islam, Jixue Liu, Lin Liu, Jiuyong Li, Wei Kang |
| 2019 | WWW | 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 |
| 2018 | PAKDD | Information Propagation Trees for Protest Event Prediction. | Jeffery Ansah, Wei Kang, Lin Liu, Jixue Liu, Jiuyong Li |
| 2018 | PAKDD | ParallelPC: An R Package for Efficient Causal Exploration in Genomic Data. | Thuc Duy Le, Taosheng Xu, Lin Liu, Hu Shu, Tao Hoang, Jiuyong Li |
| 2018 | TrustCom | 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 |
| 2018 | WISE | SensorTree: Bursty Propagation Trees as Sensors for Protest Event Detection. | Jeffery Ansah, Wei Kang, Lin Liu, Jixue Liu, Jiuyong Li |
| 2018 | WISE | Which Type of Classifier to Use for Networked Data, Connectivity Based or Feature Based? | Zan Zhang, Jiuyong Li, Hao Wang, Lin Liu, Jixue Liu |
| 2017 | ADMA | 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 |
| 2017 | PAKDD | Utility Aware Clustering for Publishing Transactional Data. | Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li |
| 2017 | WWW | Beyond Understanding and Prediction: Data Mining for Action. | Jiuyong Li |
| 2017 | TrustCom | A Relative Privacy Model for Effective Privacy Preservation in Transactional Data. | Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li, Kim-Kwang Raymond Choo |
| 2016 | ADC | An Effective Spatio-Temporal Approach for Predicting Future Semantic Locations. | Hamidu Abdel-Fatao, Jiuyong Li, Jixue Liu, Ashfaqur Rahman |
| 2015 | ADBIS | Conditional Differential Dependencies (CDDs). | Selasi Kwashie, Jixue Liu, Jiuyong Li, Feiyue Ye |
| 2015 | ADC | Unifying Spatial, Temporal and Semantic Features for an Effective GPS Trajectory-Based Location Recommendation. | Hamidu Abdel-Fatao, Jiuyong Li, Jixue Liu |
| 2015 | ADC | Efficient Discovery of Differential Dependencies Through Association Rules Mining. | Selasi Kwashie, Jixue Liu, Jiuyong Li, Feiyue Ye |
| 2015 | ADC | Efficient Mining of Non-derivable Emerging Patterns. | Vincent Mwintieru Nofong, Jixue Liu, Jiuyong Li |
| 2015 | DaWaK | Secure Outsourced Frequent Pattern Mining by Fully Homomorphic Encryption. | Junqiang Liu, Jiuyong Li, Shijian Xu, Benjamin C. M. Fung |
| 2014 | ADC | Discovering Collective Group Relationships. | S. M. Masud Karim, Lin Liu, Jiuyong Li |
| 2014 | ADC | Mining Differential Dependencies: A Subspace Clustering Approach. | Selasi Kwashie, Jixue Liu, Jiuyong Li, Feiyue Ye |
| 2014 | ADC | Logics for Representing Data Mining Tasks in Inductive Databases. | Hong-Cheu Liu, Millist W. Vincent, Jixue Liu, Jiuyong Li |
| 2014 | ADC | A Study on the Applications of Emerging Sequential Patterns. | Vincent Mwintieru Nofong, Jixue Liu, Jiuyong Li |
| 2014 | DASFAA | Top-k Similarity Matching in Large Graphs with Attributes. | Xiaofeng Ding, Jianhong Jia, Jiuyong Li, Jixue Liu, Hai Jin |
| 2013 | APWEB | A Two-Layer Multi-dimensional Trustworthiness Metric for Web Service Composition. | Han Jiao, Jixue Liu, Jiuyong Li, Chengfei Liu |
| 2013 | DASFAA | Distributed Anonymization for Multiple Data Providers in a Cloud System. | Xiaofeng Ding, Qing Yu, Jiuyong Li, Jixue Liu, Hai Jin |
| 2013 | ICDM | Mining Causal Association Rules. | Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun |
| 2013 | PAKDD | Exploring Groups from Heterogeneous Data via Sparse Learning. | Huawen Liu, Jiuyong Li, Lin Liu, Jixue Liu, Ivan Lee, Jianmin Zhao |
| 2012 | APWEB | 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 |
| 2012 | DASFAA | Data Privacy against Composition Attack. | Muzammil M. Baig, Jiuyong Li, Jixue Liu, Xiaofeng Ding, Hua Wang |
| 2012 | ICDM | Discovery of Causal Rules Using Partial Association. | Zhou Jin, Jiuyong Li, Lin Liu, Thuc Duy Le, Bing-Yu Sun, Rujing Wang |
| 2012 | SEC | Give Rookies A Chance: A Trust-Based Institutional Online Supplier Recommendation Framework. | Han Jiao, Jixue Liu, Jiuyong Li, Chengfei Liu |
| 2011 | CIKM | Cloning for privacy protection in multiple independent data publications. | Muzammil M. Baig, Jiuyong Li, Jixue Liu, Hua Wang |
| 2011 | TrustCom | A Framework for Reputation Bootstrapping Based on Reputation Utility and Game Theories. | Han Jiao, Jixue Liu, Jiuyong Li, Chengfei Liu |
| 2010 | ACIIDS | On the Effectiveness of Gene Selection for Microarray Classification Methods. | Zhongwei Zhang, Jiuyong Li, Hong Hu, Hong Zhou |
| 2010 | PAKDD | Satisfying Privacy Requirements: One Step before Anonymization. | Xiaoxun Sun, Hua Wang, Jiuyong Li |
| 2009 | AusDM | Studying Genotype-Phenotype Attack on k-anonymised Medical and Genomic Data. | Muzammil M. Baig, Jiuyong Li, Jixue Liu, Hua Wang |
| 2009 | AusDM | Building a Generic Graph-based Descriptor Set for use in Drug Discovery. | Phillip Lock, Nicolas Le Mercier, Jiuyong Li, Markus Stumptner |
| 2009 | CIKM | Injecting purpose and trust into data anonymisation. | Xiaoxun Sun, Hua Wang, Jiuyong Li |
| 2008 | APWEB | On the Complexity of Restricted k-anonymity Problem. | Xiaoxun Sun, Hua Wang, Jiuyong Li |
| 2008 | AusDM | Priority Driven K-Anonymisation for Privacy Protection. | Xiaoxun Sun, Hua Wang, Jiuyong Li |
| 2008 | CSCWD | Authorization approaches for advanced permission-role assignments. | Hua Wang, Jianming Yong, Jiuyong Li, Min Peng |
| 2008 | CSCWD | Portable devices of security and privacy preservation for e-learning. | Jianming Yong, Jiuyong Li, Hua Wang |
| 2008 | KES | A Role-Based Framework for Multi-agent Teaming. | Jinsong Leng, Jiuyong Li, Lakhmi C. Jain |
| 2007 | PAKDD | A Fast Algorithm for Finding Correlation Clusters in Noise Data. | Jiuyong Li, Xiaodi Huang, Clinton Selke, Jianming Yong |
| 2006 | AusDM | Analysis of Breast Feeding Data Using Data Mining Methods. | Hongxing He, Huidong Jin, Jie Chen, Damien McAullay, Jiuyong Li, Tony Fallon |
| 2006 | AusDM | A Comparative Study of Classification Methods For Microarray Data Analysis. | Hong Hu, Jiuyong Li, Ashley W. Plank, Hua Wang, Grant Daggard |
| 2006 | AusDM | A Framework of Combining Markov Model With Association Rules for Predicting Web Page Accesses. | Faten Khalil, Jiuyong Li, Hua Wang |
| 2006 | DaWaK | Achieving | Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jian Pei |
| 2006 | KDD | (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 |
| 2006 | KES | Combined Gene Selection Methods for Microarray Data Analysis. | Hong Hu, Jiuyong Li, Hua Wang, Grant Daggard |
| 2006 | KES | Classification Using Multiple and Negative Target Rules. | Jiuyong Li, Jason Jones |
| 2005 | ADC | Using Association Rules to Make Rule-based Classifiers Robust. | Hong Hu, Jiuyong Li |
| 2005 | KDD | 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 |
| 2005 | KES | 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 |
| 2003 | ICDM | Direct Interesting Rule Generation. | Jiuyong Li, Yanchun Zhang |
| 2002 | KDD | Construct robust rule sets for classification. | Jiuyong Li, Rodney W. Topor, Hong Shen |
| 2001 | ICDM | Mining the Smallest Association Rule Set for Predictions. | Jiuyong Li, Hong Shen, Rodney W. Topor |
| 2001 | PAKDD | Mining Optimal Class Association Rule Set. | Jiuyong Li, Hong Shen, Rodney W. Topor |
| 1999 | PDPTA | Mining Significant Association Rules (Short Version). | Jiuyong Li, Hong Shen, Paul Pritchard |
| 1999 | PDPTA | Knowledge Network Based Association Discovery (Preliminary Version). | Jiuyong Li, Hong Shen, Paul Pritchard |