Lin Liu - RankMe

284 papers A* 27A 8B 11C 3Misc 5Journal 190Unranked 36

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A bilevel meta-task correlation network for bearings remaining useful life prediction with limited data. Eng. Appl. Artif. Intell. Jing Yang, Xiaomin Wang, Lin Liu, Jiuyong Li
2026	J	`jnl`	Counterfactual samples constructing and training for commonsense statements estimation. Inf. Process. Manag. Chong Liu, Zaiwen Feng, Zhenyun Deng, Lin Liu, Jiuyong Li, Ruifang Zhai, Debo Cheng, Li Qin
2026	J	`jnl`	Dependency-based anomaly detection: A general framework and comprehensive evaluation. Expert Syst. Appl. Sha Lu, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu, Jiuyong Li
2026	J	`jnl`	Identifying the Group to Intervene on to Maximise Effect Under Cross-Group Interference. CoRR Xiaojing Du, Jiuyong Li, Lin Liu, Debo Cheng, Jixue Liu, Thuc Duy Le
2026	A*	`conf`	Learning Fair Graph Representations via Probability of Necessity and Sufficiency. AAAI Chuxun Liu, Qingfeng Chen, Debo Cheng, Jiangzhang Gan, Jiuyong Li, Lin Liu
2026	J	`jnl`	Learning fair representation for fine-tuning pre-trained language models. Neural Networks Ke Wang, Yinghao Zhang, Hong-Yu Zhang, Lin Liu, Jiuyong Li, Zaiwen Feng, Debo Cheng
2026	J	`jnl`	Learning instrumental variable representation for debiasing in recommender systems. Neural Networks Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guangquan Lu, Guixian Zhang
2026	J	`jnl`	Learning label-specific features for multi-dimensional classification. Pattern Recognit. Zan Zhang, Jialin Zhou, Jialu Yao, Lin Liu, Jiuyong Li, Lei Li, Xindong Wu
2026	J	`jnl`	Linking model intervention to causal interpretation in model explanation. Pattern Recognit. Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2026	J	`jnl`	Multi-view debiasing representation learning for recommender systems. Inf. Process. Manag. Qingfeng Chen, Jianfeng Deng, Debo Cheng, Jiuyong Li, Lin Liu
2026	A*	`conf`	Multistage Feedback-Driven Causal Discovery from Textual Data with Large Language Models. WWW Juntao Yang, Dayuan Cao, Kui Yu, Xiang Wang, Jing Yang, Lin Liu, Jiuyong Li
2026	J	`jnl`	Towards Fair Graph Representation Learning by Overcoming Social Homophily. ACM Trans. Intell. Syst. Technol. Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang
2026	J	`jnl`	Towards robust graph-level anomaly detection via counterfactual augmentation. Knowl. Based Syst. Qingfeng Chen, Haojin Zeng, Debo Cheng, Jiuyong Li, Lin Liu, Shichao Zhang
2025	J	`jnl`	A Novel Generative Model with Causality Constraint for Mitigating Biases in Recommender Systems. CoRR Jianfeng Deng, Qingfeng Chen, Debo Cheng, Jiuyong Li, Lin Liu, Shichao Zhang
2025	J	`jnl`	Adaptive Dynamic Causal Meta Graph-Task Network for Remaining Useful Life Prediction With Extreme Long-Tailed Distribution Condition. IEEE Trans. Ind. Informatics Jing Yang, Xiaomin Wang, Minglan Zhang, Lin Liu, Jiuyong Li
2025	J	`jnl`	Black-Box Time-Series Domain Adaptation via Cross-Prompt Foundation Models. CoRR Muhammad Tanzil Furqon, Mahardhika Pratama, Igor Skrjanc, Lin Liu, Habibullah Habibullah, Kutluyil Dogancay
2025	B	`conf`	Can EEG Foundation Models Help with Epileptic Seizure Prediction? IEEE Big Data Xudong Guo, Lin Liu, Sha Lu, Jiuyong Li, Thuc Duy Le, Jixue Liu
2025	Misc	`conf`	Causal Recommendation Method for Personalised Chemotherapy Optimisation in Breast Cancer. AusDM Tuyen Vu, Thuc Duy Le, Ha Xuan Tran, Lin Liu, Jiuyong Li, Jia Tina Du
2025	J	`jnl`	Data-driven learning optimal K values for K-nearest neighbour matching in causal inference. Data Min. Knowl. Discov. Yinghao Zhang, Tingting Xu, Debo Cheng, Jiuyong Li, Lin Liu, Ziqi Xu, Zaiwen Feng
2025	A*	`conf`	Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction. IJCAI Wentao Gao, Jiuyong Li, Debo Cheng, Lin Liu, Jixue Liu, Thuc Duy Le, Xiaojing Du, Xiongren Chen, Yun Chen, Yanchang Zhao
2025	J	`jnl`	Deconfounding representation learning for mitigating latent confounding effects in recommendation. Knowl. Inf. Syst. Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Ziqi Xu, Shichao Zhang
2025	A*	`conf`	Diffusion Models for Attribution. AAAI Xiongren Chen, Jiuyong Li, Jixue Liu, Lin Liu, Stefan Peters, Thuc Duy Le, Wentao Gao, Xiaojing Du, Anthony Walsh
2025	J	`jnl`	Disentangled Representation Learning for Causal Inference With Instruments. IEEE Trans. Neural Networks Learn. Syst. Debo Cheng, Jiuyong Li, Lin Liu, Ziqi Xu, Weijia Zhang, Jixue Liu, Thuc Duy Le
2025	J	`jnl`	Disentangled contrastive learning for fair graph representations. Neural Networks Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang
2025	A*	`conf`	Federated Few-Shot Class-Incremental Learning. ICLR Muhammad Anwar Ma'sum, Mahardhika Pratama, Lin Liu, Habibullah, Ryszard Kowalczyk
2025	J	`jnl`	Few-Shot Continual Learning via Flat-to-Wide Approaches. IEEE Trans. Neural Networks Learn. Syst. Muhammad Anwar Ma'sum, Mahardhika Pratama, Edwin Lughofer, Lin Liu, Habibullah, Ryszard Kowalczyk
2025	A	`conf`	From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction. ECAI Wentao Gao, Jiuyong Li, Lin Liu, Thuc Duy Le, Xiongren Chen, Xiaojing Du, Jixue Liu, Yanchang Zhao, Yun Chen
2025	J	`jnl`	From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction. CoRR Wentao Gao, Jiuyong Li, Lin Liu, Thuc Duy Le, Xiongren Chen, Xiaojing Du, Jixue Liu, Yanchang Zhao, Yun Chen
2025	J	`jnl`	Human-Centred Design (HCD) in Enhancing Dementia Care Through Assistive Technologies: A Scoping Review. Digit. Fanke Peng, Kate Little, Lin Liu
2025	J	`jnl`	Integrative multi-omics framework for causal gene discovery in Long COVID. PLoS Comput. Biol. Sindy Pinero, Xiaomei Li, Lin Liu, Jiuyong Li, Sang Hong Lee, Marnie Winter, Thin Nguyen, Junpeng Zhang, Thuc Duy Le
2025	A*	`conf`	Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems. IJCAI Zhirong Huang, Debo Cheng, Lin Liu, Jiuyong Li, Guangquan Lu, Shichao Zhang
2025	J	`jnl`	Is it still fair? A comparative evaluation of fairness algorithms through the lens of covariate drift. Mach. Learn. Oscar Blessed Deho, Michael Bewong, Selasi Kwashie, Jiuyong Li, Jixue Liu, Lin Liu, Srecko Joksimovic
2025	J	`jnl`	Learning Fair Graph Representations with Multi-view Information Bottleneck. CoRR Chuxun Liu, Debo Cheng, Qingfeng Chen, Jiangzhang Gan, Jiuyong Li, Lin Liu
2025	J	`jnl`	Leveraging Channel Coherence in Long-Term iEEG Data for Seizure Prediction. IEEE J. Biomed. Health Informatics Sha Lu, Lin Liu, Jiuyong Li, Jordan D. Chambers, Mark J. Cook, David B. Grayden
2025	A*	`conf`	Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems. EMNLP Jianfeng Deng, Qingfeng Chen, Debo Cheng, Jiuyong Li, Lin Liu
2025	J	`jnl`	Meta-knowledge random attention update network for few-shot and anti-noise remaining useful life prediction. Adv. Eng. Informatics Jing Yang, Xiaomin Wang, Minglan Zhang, Lin Liu, Jiuyong Li
2025	A	`conf`	Mitigating Latent Confounding Bias in Recommender Systems. CIKM Jianfeng Deng, Qingfeng Chen, Debo Cheng, Xiaojing Du, Jiuyong Li, Lin Liu
2025	J	`jnl`	Mitigating Propensity Bias of Large Language Models for Recommender Systems. ACM Trans. Inf. Syst. Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang
2025	J	`jnl`	Multi-Cause Deconfounding for Recommender Systems with Latent Confounders. Knowl. Based Syst. Zhirong Huang, Yuxuan Hu, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang, Shichao Zhang
2025	A*	`conf`	Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders. WWW Haolin Wang, Lin Liu, Jiuyong Li, Ziqi Xu, Jixue Liu, Zehong Cao, Debo Cheng
2025	J	`jnl`	PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning. CoRR M. Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk
2025	J	`jnl`	Peer Effect Estimation in the Presence of Simultaneous Feedback and Unobserved Confounders. CoRR Xiaojing Du, Jiuyong Li, Lin Liu, Debo Cheng, Thuc Duy Le
2025	J	`jnl`	Source-Free Cross-Domain Continual Learning. CoRR Muhammad Tanzil Furqon, Mahardhika Pratama, Igor Skrjanc, Lin Liu, Habibullah Habibullah, Kutluyil Dogancay
2025	J	`jnl`	Stable Breast Cancer Prognosis. IEEE Trans. Comput. Biol. Bioinform. Xiaomei Li, Lin Liu, Jiuyong Li, Thuc Duy Le
2025	A*	`conf`	Telling Peer Direct Effects from Indirect Effects in Observational Network Data. ICML Xiaojing Du, Jiuyong Li, Debo Cheng, Lin Liu, Wentao Gao, Xiongren Chen, Ziqi Xu
2025	J	`jnl`	Time and frequency synergy for source-free time-series domain adaptations. Inf. Sci. Muhammad Tanzil Furqon, Mahardhika Pratama, Ary Mazharuddin Shiddiqi, Lin Liu, Habibullah Habibullah, Kutluyil Dogancay
2025	A*	`conf`	Vision and Language Synergy for Rehearsal Free Continual Learning. ICLR Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah, Ryszard Kowalczyk
2024	J	`jnl`	A Deconfounding Approach to Climate Model Bias Correction. CoRR Wentao Gao, Jiuyong Li, Debo Cheng, Lin Liu, Jixue Liu, Thuc Duy Le, Xiaojing Du, Xiongren Chen, Yanchang Zhao, Yun Chen
2024	A*	`conf`	A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation Systems. ICDM Qingfeng Chen, Boquan Wei, Debo Cheng, Jiuyong Li, Lin Liu, Shichao Zhang
2024	J	`jnl`	Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables. CoRR Yang Xie, Ziqi Xu, Debo Cheng, Jiuyong Li, Lin Liu, Yinghao Zhang, Zaiwen Feng
2024	J	`jnl`	Causal Feature Selection With Dual Correction. IEEE Trans. Neural Networks Learn. Syst. Xianjie Guo, Kui Yu, Lin Liu, Fuyuan Cao, Jiuyong Li
2024	A*	`conf`	Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. ICLR Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu
2024	A*	`conf`	Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. ICLR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
2024	J	`jnl`	Counterfactual Samples Constructing and Training for Commonsense Statements Estimation. CoRR Chong Liu, Zaiwen Feng, Lin Liu, Zhenyun Deng, Jiuyong Li, Ruifang Zhai, Debo Cheng, Li Qin
2024	J	`jnl`	Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey. ACM Comput. Surv. Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
2024	J	`jnl`	Data-driven Conditional Instrumental Variables for Debiasing Recommender Systems. CoRR Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guangquan Lu
2024	J	`jnl`	Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems. CoRR Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang
2024	J	`jnl`	Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data. IEEE Trans. Neural Networks Learn. Syst. Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2024	J	`jnl`	Disentangled Representation Learning for Causal Inference with Instruments. CoRR Debo Cheng, Jiuyong Li, Lin Liu, Ziqi Xu, Weijia Zhang, Jixue Liu, Thuc Duy Le
2024	J	`jnl`	Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks. CoRR Muhammad Anwar Ma'sum, Md. Rasel Sarkar, Mahardhika Pratama, Savitha Ramasamy, Sreenatha G. Anavatti, Lin Liu, Habibullah, Ryszard Kowalczyk
2024	J	`jnl`	Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks. IEEE Trans. Artif. Intell. Muhammad Anwar Ma'sum, Md. Rasel Sarkar, Mahardhika Pratama, Savitha Ramasamy, Sreenatha G. Anavatti, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk
2024	J	`jnl`	Estimating Peer Direct and Indirect Effects in Observational Network Data. CoRR Xiaojing Du, Jiuyong Li, Debo Cheng, Lin Liu, Wentao Gao, Xiongren Chen
2024	J	`jnl`	Fairmod: making predictions fair in multiple protected attributes. Knowl. Inf. Syst. Jixue Liu, Jiuyong Li, Lin Liu, Thuc Duy Le, Feiyue Ye, Gefei Li
2024	J	`jnl`	Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning. ACM Trans. Knowl. Discov. Data Kui Yu, Zhaolong Ling, Lin Liu, Peipei Li, Hao Wang, Jiuyong Li
2024	A*	`conf`	FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning. AAAI Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li
2024	—	`conf`	Improving Intersectional Group Fairness Using Conditional Generative Adversarial Network and Transfer Learning. AI (1) David Quashigah Dzakpasu, Jixue Liu, Jiuyong Li, Lin Liu
2024	A*	`conf`	Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. AAAI Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le
2024	A	`conf`	Integrating Fair Representation Learning with Fairness Regularization for Intersectional Group Fairness. CIKM David Quashigah Dzakpasu, Jixue Liu, Jiuyong Li, Lin Liu
2024	J	`jnl`	Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift. CoRR Oscar Blessed Deho, Michael Bewong, Selasi Kwashie, Jiuyong Li, Jixue Liu, Lin Liu, Srecko Joksimovic
2024	J	`jnl`	Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data. CoRR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Xudong Guo, Shichao Zhang
2024	J	`jnl`	Linking Model Intervention to Causal Interpretation in Model Explanation. CoRR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2024	J	`jnl`	Mitigating Dual Latent Confounding Biases in Recommender Systems. CoRR Jianfeng Deng, Qingfeng Chen, Debo Cheng, Jiuyong Li, Lin Liu, Xiaojing Du
2024	J	`jnl`	Mitigating Propensity Bias of Large Language Models for Recommender Systems. CoRR Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang
2024	J	`jnl`	Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions. CoRR Muhammad Tanzil Furqon, Mahardhika Pratama, Lin Liu, Habibullah, Kutluyil Dogancay
2024	J	`jnl`	Mixup domain adaptations for dynamic remaining useful life predictions. Knowl. Based Syst. Muhammad Tanzil Furqon, Mahardhika Pratama, Lin Liu, Habibullah Habibullah, Kutluyil Dogancay
2024	J	`jnl`	Multi-Cause Deconfounding for Recommender Systems with Latent Confounders. CoRR Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang
2024	A	`conf`	PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning. CIKM Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk
2024	J	`jnl`	PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning. CoRR Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk
2024	J	`jnl`	Partial Label Feature Selection: An Adaptive Approach. IEEE Trans. Knowl. Data Eng. Zan Zhang, Jialu Yao, Lin Liu, Jiuyong Li, Lei Li, Xindong Wu
2024	J	`jnl`	Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning. IEEE Trans. Knowl. Data Eng. Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li, Jiye Liang, Fuyuan Cao, Xindong Wu
2024	J	`jnl`	TSI: A Multi-View Representation Learning Approach for Time Series Forecasting. CoRR Wentao Gao, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le, Debo Cheng, Yanchang Zhao, Yun Chen
2024	—	`conf`	TSI: A Multi-view Representation Learning Approach for Time Series Forecasting. AI (1) Wentao Gao, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le, Debo Cheng, Yanchang Zhao, Yun Chen
2024	J	`jnl`	Time and Frequency Synergy for Source-Free Time-Series Domain Adaptations. CoRR Muhammad Tanzil Furqon, Mahardhika Pratama, Ary Mazharuddin Shiddiqi, Lin Liu, Habibullah Habibullah, Kutluyil Dogancay
2024	J	`jnl`	Towards Fair Graph Representation Learning in Social Networks. CoRR Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang
2024	J	`jnl`	Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification. CoRR Muhammad Anwar Ma'sum, Mahardhika Pratama, Ramasamy Savitha, Lin Liu, Habibullah, Ryszard Kowalczyk
2024	J	`jnl`	Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. Muhammad Anwar Ma'sum, Mahardhika Pratama, Ramasamy Savitha, Lin Liu, Habibullah, Ryszard Kowalczyk
2024	J	`jnl`	When the Past != The Future: Assessing the Impact of Dataset Drift on the Fairness of Learning Analytics Models. IEEE Trans. Learn. Technol. Oscar Blessed Deho, Lin Liu, Jiuyong Li, Jixue Liu, Chen Zhan, Srecko Joksimovic
2023	B	`conf`	A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation. WISE Tingting Xu, Yinghao Zhang, Jiuyong Li, Lin Liu, Ziqi Xu, Debo Cheng, Zaiwen Feng
2023	J	`jnl`	Adaptive Skeleton Construction for Accurate DAG Learning. IEEE Trans. Knowl. Data Eng. Xianjie Guo, Kui Yu, Lin Liu, Pei-Pei Li, Jiuyong Li
2023	B	`conf`	Assessing the Fairness of Course Success Prediction Models in the Face of (Un)equal Demographic Group Distribution. L@S Oscar Blessed Deho, Srecko Joksimovic, Lin Liu, Jiuyong Li, Chen Zhan, Jixue Liu
2023	—	`conf`	Causal Disentanglement for Adversarial Defense. AI (1) Ji-Young Park, Lin Liu, Jixue Liu, Jiuyong Li
2023	J	`jnl`	Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion. CoRR Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu
2023	J	`jnl`	Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. CoRR Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu
2023	A*	`conf`	Causal Inference with Conditional Instruments Using Deep Generative Models. AAAI Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
2023	J	`jnl`	Causal heterogeneity discovery by bottom-up pattern search for personalised decision making. Appl. Intell. Jiuyong Li, Lin Liu, Shisheng Zhang, Saisai Ma, Thuc Duy Le, Jixue Liu
2023	J	`jnl`	Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. CoRR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
2023	J	`jnl`	DATM: A Novel Data Agnostic Topic Modeling Technique With Improved Effectiveness for Both Short and Long Text. IEEE Access Michael Bewong, John Wondoh, Selasi Kwashie, Jixue Liu, Lin Liu, Jiuyong Li, Md Zahidul Islam, David Kernot
2023	A*	`conf`	Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference. ICDM Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng
2023	J	`jnl`	Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference. CoRR Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng
2023	A*	`conf`	Disentangled Representation for Causal Mediation Analysis. AAAI Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang
2023	J	`jnl`	Disentangled Representation for Causal Mediation Analysis. CoRR Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang
2023	—	`conf`	Disentangled Representation with Causal Constraints for Counterfactual Fairness. PAKDD (1) Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang
2023	J	`jnl`	Few-Shot Continual Learning via Flat-to-Wide Approaches. CoRR Muhammad Anwar Ma'sum, Mahardhika Pratama, Lin Liu, Edwin Lughofer, Habibullah, Ryszard Kowalczyk
2023	—	`conf`	How Many Features Do We Need to Identify Bots on Twitter? iConference (1) Fatima Tabassum, Sameera Mubarak, Lin Liu, Jia Tina Du
2023	B	`conf`	Improve interpretability of Information Bottlenecks for Attribution with Layer-wise Relevance Propagation. IEEE Big Data Xiongren Chen, Jiuyong Li, Jixue Liu, Stefan Peters, Lin Liu, Thuc Duy Le, Anthony Walsh
2023	J	`jnl`	Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. CoRR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le
2023	J	`jnl`	Integrating Global and Local Feature Selection for Multi-Label Learning. ACM Trans. Knowl. Discov. Data Zan Zhang, Lin Liu, Jiuyong Li, Xindong Wu
2023	J	`jnl`	Learning Causal Representations for Robust Domain Adaptation. IEEE Trans. Knowl. Data Eng. Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li
2023	—	`conf`	Learning Conditional Instrumental Variable Representation for Causal Effect Estimation. ECML/PKDD (1) Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu
2023	J	`jnl`	Learning Conditional Instrumental Variable Representation for Causal Effect Estimation. CoRR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu
2023	J	`jnl`	Linking a predictive model to causal effect estimation. CoRR Jiuyong Li, Lin Liu, Ziqi Xu, Ha Xuan Tran, Thuc Duy Le, Jixue Liu
2023	J	`jnl`	Local Search for Efficient Causal Effect Estimation. IEEE Trans. Knowl. Data Eng. Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Jixue Liu, Thuc Duy Le
2023	J	`jnl`	Multi-Label Feature Selection Via Adaptive Label Correlation Estimation. ACM Trans. Knowl. Discov. Data Zan Zhang, Zhe Zhang, Jialu Yao, Lin Liu, Jiuyong Li, Gongqing Wu, Xindong Wu
2023	J	`jnl`	Multilabel Feature Selection: A Local Causal Structure Learning Approach. IEEE Trans. Neural Networks Learn. Syst. Kui Yu, Mingzhu Cai, Xingyu Wu, Lin Liu, Jiuyong Li
2023	J	`jnl`	Pan-cancer characterization of ncRNA synergistic competition uncovers potential carcinogenic biomarkers. PLoS Comput. Biol. Junpeng Zhang, Lin Liu, Xuemei Wei, Chunwen Zhao, Sijing Li, Jiuyong Li, Thuc Duy Le
2023	J	`jnl`	Personalized Interventions to Increase the Employment Success of People With Disability. IEEE Trans. Big Data Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters
2023	J	`jnl`	Should Learning Analytics Models Include Sensitive Attributes? Explaining the Why. IEEE Trans. Learn. Technol. Oscar Blessed Deho, Srecko Joksimovic, Jiuyong Li, Chen Zhan, Jixue Liu, Lin Liu
2023	A*	`conf`	Stabilising Job Survival Analysis for Disability Employment Services in Unseen Environments. KDD Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Xiaomei Li, Jixue Liu, Tony Waters
2023	J	`jnl`	Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables. IEEE Trans. Neural Networks Learn. Syst. Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2022	J	`jnl`	A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling. ACM Comput. Surv. Weijia Zhang, Jiuyong Li, Lin Liu
2022	A*	`conf`	Ancestral Instrument Method for Causal Inference without Complete Knowledge. IJCAI Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu
2022	J	`jnl`	Ancestral instrument method for causal inference without a causal graph. CoRR Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu
2022	—	`conf`	Assessing Classifier Fairness with Collider Bias. PAKDD (2) Zhenlong Xu, Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang
2022	—	`conf`	Assessing the Causal Impact of Online Instruction due to COVID-19 on Students' Grades and its aftermath on Grade Prediction Models. GoodIT Oscar Blessed Deho, Lin Liu, Srecko Joksimovic, Jiuyong Li, Chen Zhan, Jixue Liu
2022	J	`jnl`	Causal Inference with Conditional Instruments using Deep Generative Models. CoRR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
2022	J	`jnl`	Causal learner: A toolbox for causal structure and Markov blanket learning. Pattern Recognit. Lett. Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li
2022	J	`jnl`	Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey. CoRR Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
2022	B	`conf`	Decision Support for Disability Employment using Counterfactual Survival Analysis. IEEE Big Data Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters
2022	J	`jnl`	Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data. CoRR Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2022	J	`jnl`	Disentangled Representation with Causal Constraints for Counterfactual Fairness. CoRR Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang
2022	J	`jnl`	Explanatory causal effects for model agnostic explanations. CoRR Jiuyong Li, Ha Xuan Tran, Thuc Duy Le, Lin Liu, Kui Yu, Jixue Liu
2022	J	`jnl`	Exploring non-traditional learner motivations and characteristics in online learning: A learner profile study. Comput. Educ. Artif. Intell. Andrew Zamecnik, Vitomir Kovanovic, Srecko Joksimovic, Lin Liu
2022	J	`jnl`	FastOPM - A practical method for partial match of time series. Pattern Recognit. Jixue Liu, Jiuyong Li, Lin Liu
2022	J	`jnl`	How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics? Br. J. Educ. Technol. Oscar Blessed Deho, Chen Zhan, Jiuyong Li, Jixue Liu, Lin Liu, Thuc Duy Le
2022	J	`jnl`	PSL: An Algorithm for Partial Bayesian Network Structure Learning. ACM Trans. Knowl. Discov. Data Zhaolong Ling, Kui Yu, Lin Liu, Jiuyong Li, Yiwen Zhang, Xindong Wu
2022	—	`conf`	Preface: The 2022 ACM SIGKDD Workshop on Causal Discovery. CD@KDD Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu
2022	B	`conf`	Randomize Adversarial Defense in a Light Way. IEEE Big Data Ji-Young Park, Lin Liu, Jixue Liu, Jiuyong Li
2022	—	`conf`	Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers. PAKDD (3) Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters
2022	J	`jnl`	Sufficient dimension reduction for average causal effect estimation. Data Min. Knowl. Discov. Debo Cheng, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu, Kui Yu
2022	A*	`conf`	The KDD 2022 Workshop on Causal Discovery (CD2022). KDD Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu
2022	—	`ed.`	The KDD'22 Workshop on Causal Discovery, 15 August 2022, Washington DC, USA CD@KDD Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu
2022	A*	`conf`	What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker? KDD Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters
2021	J	`jnl`	A Unified View of Causal and Non-causal Feature Selection. ACM Trans. Knowl. Discov. Data Kui Yu, Lin Liu, Jiuyong Li
2021	J	`jnl`	A general framework for causal classification. Int. J. Data Sci. Anal. Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2021	J	`jnl`	A pseudotemporal causality approach to identifying miRNA-mRNA interactions during biological processes. Bioinform. Andres M. Cifuentes-Bernal, Vu Viet Hoang Pham, Xiaomei Li, Lin Liu, Jiuyong Li, Thuc Duy Le
2021	J	`jnl`	Any Part of Bayesian Network Structure Learning. CoRR Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Jiuyong Li
2021	J	`jnl`	Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning. CoRR Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li
2021	J	`jnl`	Causality-based Feature Selection: Methods and Evaluations. ACM Comput. Surv. Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu
2021	—	`conf`	Divide and Conquer: Targeted Adversary Detection using Proximity and Dependency. ICBK Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu
2021	J	`jnl`	Exploring cell-specific miRNA regulation with single-cell miRNA-mRNA co-sequencing data. BMC Bioinform. Junpeng Zhang, Lin Liu, Taosheng Xu, Wu Zhang, Chunwen Zhao, Sijing Li, Jiuyong Li, Nini Rao, Thuc Duy Le
2021	J	`jnl`	Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning. CoRR Kui Yu, Zhaolong Ling, Lin Liu, Hao Wang, Jiuyong Li
2021	A*	`conf`	Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability. KDD Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters
2021	J	`jnl`	The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge. Briefings Bioinform. Vu Viet Hoang Pham, Xiaomei Li, Buu Minh Thanh Truong, Thin Nguyen, Lin Liu, Jiuyong Li, Thuc Duy Le
2021	A	`conf`	Training Neural Networks with Random Noise Images for Adversarial Robustness. CIKM Ji-Young Park, Lin Liu, Jiuyong Li, Jixue Liu
2021	A*	`conf`	Treatment Effect Estimation with Disentangled Latent Factors. AAAI Weijia Zhang, Lin Liu, Jiuyong Li
2021	J	`jnl`	Uncovering the roles of microRNAs/lncRNAs in characterising breast cancer subtypes and prognosis. BMC Bioinform. Xiaomei Li, Buu Minh Thanh Truong, Taosheng Xu, Lin Liu, Jiuyong Li, Thuc Duy Le
2021	J	`jnl`	pDriver: a novel method for unravelling personalized coding and miRNA cancer drivers. Bioinform. Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Thin Nguyen, Gregory J. Goodall, Jiuyong Li, Thuc Duy Le
2020	J	`jnl`	A general framework for causal classification. CoRR Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2020	J	`jnl`	A novel single-cell based method for breast cancer prognosis. PLoS Comput. Biol. Xiaomei Li, Lin Liu, Gregory J. Goodall, Andreas W. Schreiber, Taosheng Xu, Jiuyong Li, Thuc Duy Le
2020	J	`jnl`	A unified survey on treatment effect heterogeneity modeling and uplift modeling. CoRR Weijia Zhang, Jiuyong Li, Lin Liu
2020	J	`jnl`	Accurate data-driven prediction does not mean high reproducibility. Nat. Mach. Intell. Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu
2020	J	`jnl`	Assessing the Fairness of Classifiers with Collider Bias. CoRR Zhenlong Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang
2020	—	`conf`	Building Fair Predictive Models. Australasian Conference on Artificial Intelligence Jixue Liu, Jiuyong Li, Feiyue Ye, Lin Liu, Thuc Duy Le, Ping Xiong, Hong-Cheu Liu
2020	A	`conf`	Causal Query in Observational Data with Hidden Variables. ECAI Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le
2020	J	`jnl`	Causal query in observational data with hidden variables. CoRR Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le
2020	C	`conf`	Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data. ADMA Junpeng Zhang, Thin Nguyen, Buu Minh Thanh Truong, Lin Liu, Jiuyong Li, Thuc Duy Le
2020	J	`jnl`	Computational methods for cancer driver discovery: A survey. CoRR Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Gregory J. Goodall, Jiuyong Li, Thuc Duy Le
2020	J	`jnl`	Correction to: Identifying miRNA synergism using multiple-intervention causal inference. BMC Bioinform. Junpeng Zhang, Vu Viet Hoang Pham, Lin Liu, Taosheng Xu, Buu Minh Thanh Truong, Jiuyong Li, Nini Rao, Thuc Duy Le
2020	J	`jnl`	Dependency-based Anomaly Detection: Framework, Methods and Benchmark. CoRR Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu
2020	J	`jnl`	Detecting high-quality signals of adverse drug-drug interactions from spontaneous reporting data. J. Biomed. Informatics Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li
2020	J	`jnl`	Detecting potential signals of adverse drug events from prescription data. Artif. Intell. Medicine Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li
2020	A*	`conf`	Evidence Weighted Tree Ensembles for Text Classification. SIGIR Md Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang
2020	—	`conf`	Intervention Recommendation for Improving Disability Employment. IEEE BigData Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters
2020	J	`jnl`	LMSM: A modular approach for identifying lncRNA related miRNA sponge modules in breast cancer. PLoS Comput. Biol. Junpeng Zhang, Taosheng Xu, Lin Liu, Wu Zhang, Chunwen Zhao, Sijing Li, Jiuyong Li, Nini Rao, Thuc Duy Le
2020	J	`jnl`	Learning Markov Blankets From Multiple Interventional Data Sets. IEEE Trans. Neural Networks Learn. Syst. Kui Yu, Lin Liu, Jiuyong Li
2020	J	`jnl`	Learning causal representations for robust domain adaptation. CoRR Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li
2020	J	`jnl`	Leveraging burst in twitter network communities for event detection. World Wide Web Jeffery Ansah, Lin Liu, Wei Kang, Jixue Liu, Jiuyong Li
2020	—	`conf`	LoPAD: A Local Prediction Approach to Anomaly Detection. PAKDD (2) Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu
2020	J	`jnl`	Multi-Source Causal Feature Selection. IEEE Trans. Pattern Anal. Mach. Intell. Kui Yu, Lin Liu, Jiuyong Li, Wei Ding, Thuc Duy Le
2020	—	`conf`	Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery. CD@KDD Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen
2020	—	`ed.`	Proceedings of the 2020 KDD Workshop on Causal Discovery (CD@KDD 2020), San Diego, CA, USA, 24 August 2020. CD@KDD Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen
2020	A	`conf`	Robust Multi-Instance Learning with Stable Instances. ECAI Weijia Zhang, Lin Liu, Jiuyong Li
2020	J	`jnl`	Sufficient Dimension Reduction for Average Causal Effect Estimation. CoRR Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu
2020	J	`jnl`	Towards precise causal effect estimation from data with hidden variables. CoRR Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2020	J	`jnl`	Treatment effect estimation with disentangled latent factors. CoRR Weijia Zhang, Lin Liu, Jiuyong Li
2019	J	`jnl`	A Fast PC Algorithm for High Dimensional Causal Discovery with Multi-Core PCs. IEEE ACM Trans. Comput. Biol. Bioinform. Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Huawen Liu, Shu Hu
2019	A*	`conf`	A Graph is Worth a Thousand Words: Telling Event Stories using Timeline Summarization Graphs. WWW Jeffery Ansah, Lin Liu, Wei Kang, Selasi Kwashie, Jixue Li, Jiuyong Li
2019	A	`conf`	A Semantics Aware Random Forest for Text Classification. CIKM Md Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang
2019	J	`jnl`	A relative privacy model for effective privacy preservation in transactional data. Concurr. Comput. Pract. Exp. Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li, Kim-Kwang Raymond Choo
2019	J	`jnl`	BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection. ACM Trans. Intell. Syst. Technol. Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Wei Ding, Xindong Wu
2019	J	`jnl`	CBNA: A control theory based method for identifying coding and non-coding cancer drivers. PLoS Comput. Biol. Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Gregory J. Goodall, Qi Long, Jiuyong Li, Thuc Duy Le
2019	J	`jnl`	Causality-based Feature Selection: Methods and Evaluations. CoRR Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu
2019	J	`jnl`	Certus: An Effective Entity Resolution Approach with Graph Differential Dependencies (GDDs). Proc. VLDB Endow. Selasi Kwashie, Jixue Liu, Jiuyong Li, Lin Liu, Markus Stumptner, Lujing Yang
2019	Misc	`ed.`	Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2-5, 2019, Proceedings AusDM Thuc Duy Le, Kok-Leong Ong, Yanchang Zhao, Warren H. Jin, Sebastien Wong, Lin Liu, Graham Williams
2019	J	`jnl`	Data-driven discovery of causal interactions. Int. J. Data Sci. Anal. Saisai Ma, Lin Liu, Jiuyong Li, Thuc Duy Le
2019	J	`jnl`	Discovering context specific causal relationships. Intell. Data Anal. Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le
2019	J	`jnl`	Distributionally Robust Multi-instance Learning with Stable Instances. CoRR Weijia Zhang, Jiuyong Li, Lin Liu
2019	J	`jnl`	Identify treatment effect patterns for personalised decisions. CoRR Jiuyong Li, Saisai Ma, Lin Liu, Thuc Duy Le, Jixue Liu, Yizhao Han
2019	J	`jnl`	Identifying key factors of student academic performance by subgroup discovery. Int. J. Data Sci. Anal. Sumyea Helal, Jiuyong Li, Lin Liu, Esmaeil Ebrahimie, Shane Dawson, Duncan J. Murray
2019	J	`jnl`	Identifying miRNA synergism using multiple-intervention causal inference. BMC Bioinform. Junpeng Zhang, Vu Viet Hoang Pham, Lin Liu, Taosheng Xu, Buu Minh Thanh Truong, Jiuyong Li, Nini Rao, Thuc Duy Le
2019	J	`jnl`	Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal prediction. BMC Bioinform. Vu Viet Hoang Pham, Junpeng Zhang, Lin Liu, Buu Minh Thanh Truong, Taosheng Xu, Trung T. Nguyen, Jiuyong Li, Thuc Duy Le
2019	J	`jnl`	Inferring and analyzing module-specific lncRNA-mRNA causal regulatory networks in human cancer. Briefings Bioinform. Junpeng Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li
2019	—	`conf`	Linking Graph Entities with Multiplicity and Provenance. EYRE@CIKM Jixue Liu, Selasi Kwashie, Jiuyong Li, Lin Liu, Michael Bewong
2019	J	`jnl`	Linking Graph Entities with Multiplicity and Provenance. CoRR Jixue Liu, Selasi Kwashie, Jiuyong Li, Lin Liu, Michael Bewong
2019	J	`jnl`	Privacy preserving serial publication of transactional data. Inf. Syst. Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li
2019	—	`conf`	Semantic Explanations in Ensemble Learning. PAKDD (1) Md Zahidul Islam, Jixue Liu, Lin Liu, Jiuyong Li, Wei Kang
2019	J	`jnl`	miRspongeR: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules. BMC Bioinform. Junpeng Zhang, Lin Liu, Taosheng Xu, Yong Xie, Chunwen Zhao, Jiuyong Li, Thuc Duy Le
2018	J	`jnl`	A Unified View of Causal and Non-causal Feature Selection. CoRR Kui Yu, Lin Liu, Jiuyong Li
2018	J	`jnl`	A data-driven method to detect adverse drug events from prescription data. J. Biomed. Informatics Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li
2018	J	`jnl`	An exploration of algorithmic discrimination in data and classification. CoRR Jixue Liu, Jiuyong Li, Feiyue Ye, Lin Liu, Thuc Duy Le, Ping Xiong
2018	J	`jnl`	Collective behavior learning by differentiating personal preference from peer influence. Knowl. Based Syst. Zan Zhang, Lin Liu, Hao Wang, Jiuyong Li, Daning Hu, Jiaqi Yan, René Algesheimer, Markus Meierer
2018	Misc	`ed.`	Data Mining - 15th Australasian Conference, AusDM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers AusDM Yee Ling Boo, David Stirling, Lianhua Chi, Lin Liu, Kok-Leong Ong, Graham Williams
2018	J	`jnl`	Discovering Context Specific Causal Relationships. CoRR Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le
2018	J	`jnl`	Discovering Markov Blanket from Multiple interventional Datasets. CoRR Kui Yu, Lin Liu, Jiuyong Li
2018	—	`conf`	Effective Outlier Detection based on Bayesian Network and Proximity. IEEE BigData Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le
2018	J	`jnl`	Estimating heterogeneous treatment effect by balancing heterogeneity and fitness. BMC Bioinform. Weijia Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li
2018	J	`jnl`	FairMod - Making Predictive Models Discrimination Aware. CoRR Jixue Liu, Jiuyong Li, Lin Liu, Thuc Duy Le, Feiyue Ye, Gefei Li
2018	J	`jnl`	Guest Editorial: Special Issue on Causal Discovery 2017. Int. J. Data Sci. Anal. Lin Liu, Jiuyong Li, Kun Zhang, Emre Kiciman, Negar Kiyavash
2018	—	`conf`	Information Propagation Trees for Protest Event Prediction. PAKDD (3) Jeffery Ansah, Wei Kang, Lin Liu, Jixue Liu, Jiuyong Li
2018	J	`jnl`	LncmiRSRN: identification and analysis of long non-coding RNA related miRNA sponge regulatory network in human cancer. Bioinform. Junpeng Zhang, Lin Liu, Jiuyong Li, Thuc Duy Le
2018	J	`jnl`	Mining Markov Blankets Without Causal Sufficiency. IEEE Trans. Neural Networks Learn. Syst. Kui Yu, Lin Liu, Jiuyong Li, Huanhuan Chen
2018	J	`jnl`	Multi-label relational classification via node and label correlation. Neurocomputing Zan Zhang, Hao Wang, Lin Liu, Jiuyong Li
2018	—	`conf`	ParallelPC: An R Package for Efficient Causal Exploration in Genomic Data. PAKDD (Workshops) Thuc Duy Le, Taosheng Xu, Lin Liu, Hu Shu, Tao Hoang, Jiuyong Li
2018	J	`jnl`	Predicting academic performance by considering student heterogeneity. Knowl. Based Syst. Sumyea Helal, Jiuyong Li, Lin Liu, Esmaeil Ebrahimie, Shane Dawson, Duncan J. Murray, Qi Long
2018	—	`conf`	Preface: The 2018 ACM SIGKDD Workshop on Causal Discovery. CD@KDD Thuc Duy Le, Kun Zhang, Emre Kiciman, Aapo Hyvärinen, Lin Liu
2018	—	`ed.`	Proceedings of 2018 ACM SIGKDD Workshop on Causal Discovery, CD@KDD 2018, London, UK, 20 August 2018. CD@KDD Thuc Duy Le, Kun Zhang, Emre Kiciman, Aapo Hyvärinen, Lin Liu
2018	—	`conf`	SensorTree: Bursty Propagation Trees as Sensors for Protest Event Detection. WISE (1) Jeffery Ansah, Wei Kang, Lin Liu, Jixue Liu, Jiuyong Li
2018	—	`conf`	Which Type of Classifier to Use for Networked Data, Connectivity Based or Feature Based? WISE (1) Zan Zhang, Jiuyong Li, Hao Wang, Lin Liu, Jixue Liu
2018	J	`jnl`	miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase. BMC Bioinform. Taosheng Xu, Ning Su, Lin Liu, Junpeng Zhang, Hongqiang Wang, Weijia Zhang, Jie Gui, Kui Yu, Jiuyong Li, Thuc Duy Le
2017	—	`conf`	A Relative Privacy Model for Effective Privacy Preservation in Transactional Data. TrustCom/BigDataSE/ICESS Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li, Kim-Kwang Raymond Choo
2017	J	`jnl`	Building Diversified Multiple Trees for classification in high dimensional noisy biomedical data. Health Inf. Sci. Syst. Jiuyong Li, Lin Liu, Jixue Liu, Ryan Green
2017	J	`jnl`	CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization. Bioinform. Taosheng Xu, Thuc Duy Le, Lin Liu, Ning Su, Rujing Wang, Bing-Yu Sun, Antonio Colaprico, Gianluca Bontempi, Jiuyong Li
2017	C	`conf`	Carbon: Forecasting Civil Unrest Events by Monitoring News and Social Media. ADMA Wei Kang, Jie Chen, Jiuyong Li, Jixue Liu, Lin Liu, Grant Osborne, Nick Lothian, Brenton Cooper, Terry Moschou, Grant Neale
2017	J	`jnl`	Causal Decision Trees. IEEE Trans. Knowl. Data Eng. Jiuyong Li, Saisai Ma, Thuc Duy Le, Lin Liu, Jixue Liu
2017	J	`jnl`	Computational methods for identifying miRNA sponge interactions. Briefings Bioinform. Thuc Duy Le, Junpeng Zhang, Lin Liu, Jiuyong Li
2017	—	`conf`	Discrimination detection by causal effect estimation. IEEE BigData Jiuyong Li, Jixue Liu, Lin Liu, Thuc Duy Le, Saisai Ma, Yizhao Han
2017	B	`conf`	Evaluating and Improving SIP Non-INVITE Transaction to Alleviate the Losing Race Problem. Petri Nets Junxian Liu, Lin Liu, Tao Chen
2017	J	`jnl`	Forensic taxonomy of android productivity apps. Multim. Tools Appl. Abdullah Azfar, Kim-Kwang Raymond Choo, Lin Liu
2017	J	`jnl`	Guest editorial: special issue on causal discovery. Int. J. Data Sci. Anal. Jiuyong Li, Kun Zhang, Elias Bareinboim, Lin Liu
2017	J	`jnl`	Identifying miRNA sponge modules using biclustering and regulatory scores. BMC Bioinform. Junpeng Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li
2017	—	`conf`	Identifying microRNA targets in epithelial-mesenchymal transition using joint-intervention causal inference. CSBio Thuc Duy Le, Junpeng Zhang, Lin Liu, Buu Minh Thanh Truong, Shu Hu, Taosheng Xu, Jiuyong Li
2017	J	`jnl`	Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer. BMC Bioinform. Junpeng Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li
2017	J	`jnl`	Mining heterogeneous causal effects for personalized cancer treatment. Bioinform. Weijia Zhang, Thuc Duy Le, Lin Liu, Zhi-Hua Zhou, Jiuyong Li
2017	J	`jnl`	Nonparametric Sparse Matrix Decomposition for Cross-View Dimensionality Reduction. IEEE Trans. Multim. Huawen Liu, Lin Liu, Thuc Duy Le, Ivan Lee, Shiliang Sun, Jiuyong Li
2017	—	`conf`	Utility Aware Clustering for Publishing Transactional Data. PAKDD (2) Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li
2016	—	`conf`	An Android Social App Forensics Adversary Model. HICSS Abdullah Azfar, Kim-Kwang Raymond Choo, Lin Liu
2016	J	`jnl`	Android mobile VoIP apps: a survey and examination of their security and privacy. Electron. Commer. Res. Abdullah Azfar, Kim-Kwang Raymond Choo, Lin Liu
2016	J	`jnl`	Building Diversified Multiple Trees for Classification in High Dimensional Noise Data. CoRR Jiuyong Li, Lin Liu, Jixue Liu, Ryan Green
2016	J	`jnl`	From Observational Studies to Causal Rule Mining. ACM Trans. Intell. Syst. Technol. Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun, Saisai Ma
2016	J	`jnl`	Identification of miRNA-mRNA regulatory modules by exploring collective group relationships. BMC Genom. S. M. Masud Karim, Lin Liu, Thuc Duy Le, Jiuyong Li
2016	J	`jnl`	Mining combined causes in large data sets. Knowl. Based Syst. Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le
2015	J	`jnl`	A fast PC algorithm for high dimensional causal discovery with multi-core PCs. CoRR Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Huawen Liu
2015	J	`jnl`	Causal Decision Trees. CoRR Jiuyong Li, Saisai Ma, Thuc Duy Le, Lin Liu, Jixue Liu
2015	—	`conf`	Forensic Taxonomy of Popular Android mHealth Apps. AMCIS Abdullah Azfar, Kim-Kwang Raymond Choo, Lin Liu
2015	J	`jnl`	Forensic Taxonomy of Popular Android mHealth Apps. CoRR Abdullah Azfar, Kim-Kwang Raymond Choo, Lin Liu
2015	J	`jnl`	From Observational Studies to Causal Rule Mining. CoRR Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun, Saisai Ma
2015	J	`jnl`	From miRNA regulation to miRNA-TF co-regulation: computational approaches and challenges. Briefings Bioinform. Thuc Duy Le, Lin Liu, Junpeng Zhang, Bing Liu, Jiuyong Li
2015	J	`jnl`	Mining Combined Causes. CoRR Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le
2015	J	`jnl`	ParallelPC: an R package for efficient constraint based causal exploration. CoRR Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Shu Hu
2015	—	`book`	Practical Approaches to Causal Relationship Exploration Jiuyong Li, Lin Liu, Thuc Duy Le
2014	J	`jnl`	A Coloured Petri Net Approach to the Functional and Performance Analysis of SIP Non-INVITE Transaction. Trans. Petri Nets Other Model. Concurr. Junxian Liu, Lin Liu
2014	—	`conf`	A Study of Ten Popular Android Mobile VoIP Applications: Are the Communications Encrypted? HICSS Abdullah Azfar, Kim-Kwang Raymond Choo, Lin Liu
2014	Misc	`conf`	Discovering Collective Group Relationships. ADC S. M. Masud Karim, Lin Liu, Jiuyong Li
2014	J	`jnl`	Identifying direct miRNA-mRNA causal regulatory relationships in heterogeneous data. J. Biomed. Informatics Junpeng Zhang, Thuc Duy Le, Lin Liu, Bing Liu, Jianfeng He, Gregory J. Goodall, Jiuyong Li
2014	J	`jnl`	Inferring condition-specific miRNA activity from matched miRNA and mRNA expression data. Bioinform. Junpeng Zhang, Thuc Duy Le, Lin Liu, Bing Liu, Jianfeng He, Gregory J. Goodall, Jiuyong Li
2014	Misc	`ed.`	Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, Australia, November 2014 AusDM Xue Li, Lin Liu, Kok-Leong Ong, Yanchang Zhao
2013	—	`conf`	Exploring Groups from Heterogeneous Data via Sparse Learning. PAKDD (1) Huawen Liu, Jiuyong Li, Lin Liu, Jixue Liu, Ivan Lee, Jianmin Zhao
2013	J	`jnl`	Inferring microRNA and transcription factor regulatory networks in heterogeneous data. BMC Bioinform. Thuc Duy Le, Lin Liu, Bing Liu, Anna Tsykin, Gregory J. Goodall, Kenji Satou, Jiuyong Li
2013	J	`jnl`	Inferring microRNA-mRNA causal regulatory relationships from expression data. Bioinform. Thuc Duy Le, Lin Liu, Anna Tsykin, Gregory J. Goodall, Bing Liu, Bing-Yu Sun, Jiuyong Li
2013	—	`conf`	Mining Causal Association Rules. ICDM Workshops Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun
2012	A*	`conf`	Discovery of Causal Rules Using Partial Association. ICDM Zhou Jin, Jiuyong Li, Lin Liu, Thuc Duy Le, Bing-Yu Sun, Rujing Wang
2011	B	`conf`	Uncovering SIP Vulnerabilities to DoS Attacks Using Coloured Petri Nets. TrustCom Lin Liu
2010	J	`jnl`	Identifying functional miRNA-mRNA regulatory modules with correspondence latent dirichlet allocation. Bioinform. Bing Liu, Lin Liu, Anna Tsykin, Gregory J. Goodall, Jeffrey E. Green, Min Zhu, Chang-Hee Kim, Jiuyong Li
2010	—	`conf`	Spectral representation of DNA sequences and its application. BIC-TA Zhujin Zhang, Lin Liu, Jiuyong Li, Zheng Zhang
2009	J	`jnl`	Exploring complex miRNA-mRNA interactions with Bayesian networks by splitting-averaging strategy. BMC Bioinform. Bing Liu, Jiuyong Li, Anna Tsykin, Lin Liu, Arti B. Gaur, Gregory J. Goodall
2009	—	`conf`	Recursive Parametric Automata and epsilon-Removal. FMOODS/FORTE Lin Liu, Jonathan Billington
2009	—	`conf`	Verification of the SIP Transaction Using Coloured Petri Nets. ACSC Lin Liu
2008	B	`conf`	Modelling and Analysis of the INVITE Transaction of the Session Initiation Protocol Using Coloured Petri Nets. Petri Nets Lay G. Ding, Lin Liu
2007	C	`conf`	Symbolic Language Representations for Parametric Verification of the Revised Capability Exchange Signalling Protocol. PDCAT Lin Liu, Jonathan Billington
2007	J	`jnl`	Verification of the Capability Exchange Signalling protocol. Int. J. Softw. Tools Technol. Transf. Lin Liu, Jonathan Billington
2004	B	`conf`	Obtaining the Service Language for H.245's Multimedia Capability Exchange Signalling Protocol: the Final Step. MMM Lin Liu, Jonathan Billington
2004	B	`conf`	Reducing Parametric Automata: A Multimedia Protocol Service Case Study. ATVA Lin Liu, Jonathan Billington
2002	—	`conf`	Tackling the Infinite State Space of a Multimedia Control Protocol Service Specification. ICATPN Lin Liu, Jonathan Billington
2000	J	`jnl`	Fuzzy Bayesian Networks - A General Formalism for Representation, Inference and Learning with Hybrid Bayesian Networks. Int. J. Pattern Recognit. Artif. Intell. Heping Pan, Lin Liu