Lin Liu

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 165

Top Venues

CoRR

BMC Bioinform.

IEEE Trans. Neural Networks Learn. Syst.

Bioinform.

Publications

Muhammad Anwar Ma'sum, Md. Rasel Sarkar, Mahardhika Pratama, Savitha Ramasamy, Sreenatha G. Anavatti, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk
Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks. IEEE Trans. Artif. Intell. 5 (8) (2024)
Jixue Liu, Jiuyong Li, Lin Liu, Thuc Duy Le, Feiyue Ye, Gefei Li
Fairmod: making predictions fair in multiple protected attributes. Knowl. Inf. Syst. 66 (3) (2024)
Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. ICLR (2024)
Oscar Blessed Deho, Lin Liu, Jiuyong Li, Jixue Liu, Chen Zhan, Srecko Joksimovic
When the Past != The Future: Assessing the Impact of Dataset Drift on the Fairness of Learning Analytics Models. IEEE Trans. Learn. Technol. 17 (2024)
Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning. CoRR (2024)
Xianjie Guo, Kui Yu, Lin Liu, Fuyuan Cao, Jiuyong Li
Causal Feature Selection With Dual Correction. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li
FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning. AAAI (2024)
Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. AAAI (2024)
Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. ICLR (2024)
Muhammad Anwar Ma'sum, Mahardhika Pratama, Ramasamy Savitha, Lin Liu, Habibullah, Ryszard Kowalczyk
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification. CoRR (2024)
Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Muhammad Furqon, Mahardhika Pratama, Lin Liu, Habibullah Habibullah, Kutluyil Dogancay
Mixup domain adaptations for dynamic remaining useful life predictions. Knowl. Based Syst. 295 (2024)
Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey. ACM Comput. Surv. 56 (5) (2024)
Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu
Learning Conditional Instrumental Variable Representation for Causal Effect Estimation. CoRR (2023)
Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Junpeng Zhang, Lin Liu, Xuemei Wei, Chunwen Zhao, Sijing Li, Jiuyong Li, Thuc Duy Le
Pan-cancer characterization of ncRNA synergistic competition uncovers potential carcinogenic biomarkers. PLoS Comput. Biol. 19 (10) (2023)
Fatima Tabassum, Sameera Mubarak, Lin Liu, Jia Tina Du
How Many Features Do We Need to Identify Bots on Twitter? iConference (1) (2023)
Tingting Xu, Yinghao Zhang, Jiuyong Li, Lin Liu, Ziqi Xu, Debo Cheng, Zaiwen Feng
A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation. WISE (2023)
Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li
Learning Causal Representations for Robust Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters
Personalized Interventions to Increase the Employment Success of People With Disability. IEEE Trans. Big Data 9 (6) (2023)
Jiuyong Li, Lin Liu, Shisheng Zhang, Saisai Ma, Thuc Duy Le, Jixue Liu
Causal heterogeneity discovery by bottom-up pattern search for personalised decision making. Appl. Intell. 53 (7) (2023)
Xianjie Guo, Kui Yu, Lin Liu, Pei-Pei Li, Jiuyong Li
Adaptive Skeleton Construction for Accurate DAG Learning. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Zan Zhang, Lin Liu, Jiuyong Li, Xindong Wu
Integrating Global and Local Feature Selection for Multi-Label Learning. ACM Trans. Knowl. Discov. Data 17 (1) (2023)
Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu
Learning Conditional Instrumental Variable Representation for Causal Effect Estimation. ECML/PKDD (1) (2023)
Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Xiaomei Li, Jixue Liu, Tony Waters
Stabilising Job Survival Analysis for Disability Employment Services in Unseen Environments. KDD (2023)
Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
Causal Inference with Conditional Instruments Using Deep Generative Models. AAAI (2023)
Michael Bewong, John Wondoh, Selasi Kwashie, Jixue Liu, Lin Liu, Jiuyong Li, Md Zahidul Islam, David Kernot
DATM: A Novel Data Agnostic Topic Modeling Technique With Improved Effectiveness for Both Short and Long Text. IEEE Access 11 (2023)
Ji-Young Park, Lin Liu, Jixue Liu, Jiuyong Li
Causal Disentanglement for Adversarial Defense. AI (1) (2023)
Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Jixue Liu, Thuc Duy Le
Local Search for Efficient Causal Effect Estimation. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Kui Yu, Mingzhu Cai, Xingyu Wu, Lin Liu, Jiuyong Li
Multilabel Feature Selection: A Local Causal Structure Learning Approach. IEEE Trans. Neural Networks Learn. Syst. 34 (6) (2023)
Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang
Disentangled Representation with Causal Constraints for Counterfactual Fairness. PAKDD (1) (2023)
Xiongren Chen, Jiuyong Li, Jixue Liu, Stefan Peters, Lin Liu, Thuc Duy Le, Anthony Walsh
Improve interpretability of Information Bottlenecks for Attribution with Layer-wise Relevance Propagation. BigData (2023)
Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang
Disentangled Representation for Causal Mediation Analysis. AAAI (2023)
Oscar Blessed Deho, Srecko Joksimovic, Jiuyong Li, Chen Zhan, Jixue Liu, Lin Liu
Should Learning Analytics Models Include Sensitive Attributes? Explaining the Why. IEEE Trans. Learn. Technol. 16 (4) (2023)
Zan Zhang, Zhe Zhang, Jialu Yao, Lin Liu, Jiuyong Li, Gongqing Wu, Xindong Wu
Multi-Label Feature Selection Via Adaptive Label Correlation Estimation. ACM Trans. Knowl. Discov. Data 17 (9) (2023)
Oscar Blessed Deho, Srecko Joksimovic, Lin Liu, Jiuyong Li, Chen Zhan, Jixue Liu
Assessing the Fairness of Course Success Prediction Models in the Face of (Un)equal Demographic Group Distribution. L@S (2023)
Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters
Decision Support for Disability Employment using Counterfactual Survival Analysis. Big Data (2022)
Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters
Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers. PAKDD (3) (2022)
Andrew Zamecnik, Vitomir Kovanovic, Srecko Joksimovic, Lin Liu
Exploring non-traditional learner motivations and characteristics in online learning: A learner profile study. Comput. Educ. Artif. Intell. 3 (2022)
Jixue Liu, Jiuyong Li, Lin Liu
FastOPM - A practical method for partial match of time series. Pattern Recognit. 130 (2022)
Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters
What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker? KDD (2022)
Oscar Blessed Deho, Chen Zhan, Jiuyong Li, Jixue Liu, Lin Liu, Thuc Duy Le
How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics? Br. J. Educ. Technol. 53 (4) (2022)
Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu
Preface: The 2022 ACM SIGKDD Workshop on Causal Discovery. CD@KDD (2022)
Zhaolong Ling, Kui Yu, Lin Liu, Jiuyong Li, Yiwen Zhang, Xindong Wu
PSL: An Algorithm for Partial Bayesian Network Structure Learning. ACM Trans. Knowl. Discov. Data 16 (5) (2022)
Jiuyong Li, Ha Xuan Tran, Thuc Duy Le, Lin Liu, Kui Yu, Jixue Liu
Explanatory causal effects for model agnostic explanations. CoRR (2022)
Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu
Ancestral Instrument Method for Causal Inference without Complete Knowledge. IJCAI (2022)
Ji-Young Park, Lin Liu, Jixue Liu, Jiuyong Li
Randomize Adversarial Defense in a Light Way. Big Data (2022)
Weijia Zhang, Jiuyong Li, Lin Liu
A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling. ACM Comput. Surv. 54 (8) (2022)
Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu
Ancestral instrument method for causal inference without a causal graph. CoRR (2022)
Zhenlong Xu, Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang
Assessing Classifier Fairness with Collider Bias. PAKDD (2) (2022)
Debo Cheng, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu, Kui Yu
Sufficient dimension reduction for average causal effect estimation. Data Min. Knowl. Discov. 36 (3) (2022)
Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li
Causal learner: A toolbox for causal structure and Markov blanket learning. Pattern Recognit. Lett. 163 (2022)
Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data. CoRR (2022)
Kui Yu, Lin Liu, Jiuyong Li
A Unified View of Causal and Non-causal Feature Selection. ACM Trans. Knowl. Discov. Data 15 (4) (2021)
Ji-Young Park, Lin Liu, Jiuyong Li, Jixue Liu
Training Neural Networks with Random Noise Images for Adversarial Robustness. CIKM (2021)
Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Jiuyong Li
Any Part of Bayesian Network Structure Learning. CoRR (2021)
Vu Viet Hoang Pham, Xiaomei Li, Buu Minh Thanh Truong, Thin Nguyen, Lin Liu, Jiuyong Li, Thuc Duy Le
The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge. Briefings Bioinform. 22 (3) (2021)
Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters
Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability. KDD (2021)
Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu
Divide and Conquer: Targeted Adversary Detection using Proximity and Dependency. ICBK (2021)
Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li
Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning. CoRR (2021)
Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
A general framework for causal classification. Int. J. Data Sci. Anal. 11 (2) (2021)
Xiaomei Li, Buu Minh Thanh Truong, Taosheng Xu, Lin Liu, Jiuyong Li, Thuc Duy Le
Uncovering the roles of microRNAs/lncRNAs in characterising breast cancer subtypes and prognosis. BMC Bioinform. 22 (1) (2021)
Andres M. Cifuentes-Bernal, Vu Viet Hoang Pham, Xiaomei Li, Lin Liu, Jiuyong Li, Thuc Duy Le
A pseudotemporal causality approach to identifying miRNA-mRNA interactions during biological processes. Bioinform. 37 (6) (2021)
Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Thin Nguyen, Gregory J. Goodall, Jiuyong Li, Thuc Duy Le
pDriver: a novel method for unravelling personalized coding and miRNA cancer drivers. Bioinform. 37 (19) (2021)
Junpeng Zhang, Lin Liu, Taosheng Xu, Wu Zhang, Chunwen Zhao, Sijing Li, Jiuyong Li, Nini Rao, Thuc Duy Le
Exploring cell-specific miRNA regulation with single-cell miRNA-mRNA co-sequencing data. BMC Bioinform. 22 (1) (2021)
Kui Yu, Zhaolong Ling, Lin Liu, Hao Wang, Jiuyong Li
Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning. CoRR (2021)
Weijia Zhang, Lin Liu, Jiuyong Li
Treatment Effect Estimation with Disentangled Latent Factors. AAAI (2021)
Kui Yu, Lin Liu, Jiuyong Li, Wei Ding, Thuc Duy Le
Multi-Source Causal Feature Selection. IEEE Trans. Pattern Anal. Mach. Intell. 42 (9) (2020)
Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Gregory J. Goodall, Jiuyong Li, Thuc Duy Le
Computational methods for cancer driver discovery: A survey. CoRR (2020)
Weijia Zhang, Lin Liu, Jiuyong Li
Robust Multi-Instance Learning with Stable Instances. ECAI (2020)
Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters
Intervention Recommendation for Improving Disability Employment. IEEE BigData (2020)
Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu
Causality-based Feature Selection: Methods and Evaluations. ACM Comput. Surv. 53 (5) (2020)
Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le
Causal Query in Observational Data with Hidden Variables. ECAI (2020)
Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
A general framework for causal classification. CoRR (2020)
Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen
Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery. CD@KDD (2020)
Junpeng Zhang, Thin Nguyen, Buu Minh Thanh Truong, Lin Liu, Jiuyong Li, Thuc Duy Le
Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data. ADMA (2020)
Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le
Causal query in observational data with hidden variables. CoRR (2020)
Jixue Liu, Jiuyong Li, Feiyue Ye, Lin Liu, Thuc Duy Le, Ping Xiong, Hong-Cheu Liu
Building Fair Predictive Models. Australasian Conference on Artificial Intelligence (2020)
Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li
Learning causal representations for robust domain adaptation. CoRR (2020)
Weijia Zhang, Lin Liu, Jiuyong Li
Treatment effect estimation with disentangled latent factors. CoRR (2020)
Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu
Accurate data-driven prediction does not mean high reproducibility. Nat. Mach. Intell. 2 (1) (2020)
Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
Towards precise causal effect estimation from data with hidden variables. CoRR (2020)
Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu
Dependency-based Anomaly Detection: Framework, Methods and Benchmark. CoRR (2020)
Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li
Detecting potential signals of adverse drug events from prescription data. Artif. Intell. Medicine 104 (2020)
Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li
Detecting high-quality signals of adverse drug-drug interactions from spontaneous reporting data. J. Biomed. Informatics 112 (2020)
Xiaomei Li, Lin Liu, Gregory J. Goodall, Andreas Schreiber, Taosheng Xu, Jiuyong Li, Thuc Duy Le
A novel single-cell based method for breast cancer prognosis. PLoS Comput. Biol. 16 (8) (2020)
Weijia Zhang, Jiuyong Li, Lin Liu
A unified survey on treatment effect heterogeneity modeling and uplift modeling. CoRR (2020)
Junpeng Zhang, Taosheng Xu, Lin Liu, Wu Zhang, Chunwen Zhao, Sijing Li, Jiuyong Li, Nini Rao, Thuc Duy Le
LMSM: A modular approach for identifying lncRNA related miRNA sponge modules in breast cancer. PLoS Comput. Biol. 16 (4) (2020)
Zhenlong Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang
Assessing the Fairness of Classifiers with Collider Bias. CoRR (2020)
Junpeng Zhang, Vu Viet Hoang Pham, Lin Liu, Taosheng Xu, Buu Minh Thanh Truong, Jiuyong Li, Nini Rao, Thuc Duy Le
Correction to: Identifying miRNA synergism using multiple-intervention causal inference. BMC Bioinform. 21 (1) (2020)
Jeffery Ansah, Lin Liu, Wei Kang, Jixue Liu, Jiuyong Li
Leveraging burst in twitter network communities for event detection. World Wide Web 23 (5) (2020)
Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu
LoPAD: A Local Prediction Approach to Anomaly Detection. PAKDD (2) (2020)
Kui Yu, Lin Liu, Jiuyong Li
Learning Markov Blankets From Multiple Interventional Data Sets. IEEE Trans. Neural Networks Learn. Syst. 31 (6) (2020)
Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu
Sufficient Dimension Reduction for Average Causal Effect Estimation. CoRR (2020)
Md. Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang
Evidence Weighted Tree Ensembles for Text Classification. SIGIR (2020)
Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu
Causality-based Feature Selection: Methods and Evaluations. CoRR (2019)
Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Huawen Liu, Shu Hu
A Fast PC Algorithm for High Dimensional Causal Discovery with Multi-Core PCs. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (5) (2019)
Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Gregory J. Goodall, Qi Long, Jiuyong Li, Thuc Duy Le
CBNA: A control theory based method for identifying coding and non-coding cancer drivers. PLoS Comput. Biol. 15 (12) (2019)
Md. Zahidul Islam, Jixue Liu, Lin Liu, Jiuyong Li, Wei Kang
Semantic Explanations in Ensemble Learning. PAKDD (1) (2019)
Junpeng Zhang, Lin Liu, Taosheng Xu, Yong Xie, Chunwen Zhao, Jiuyong Li, Thuc Duy Le
miRspongeR: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules. BMC Bioinform. 20 (1) (2019)

Lin Liu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Lin Liu