Thuc Duy Le
Orcid: 0000-0002-9732-4313
According to our database1,
Thuc Duy Le
authored at least 102 papers
between 2012 and 2024.
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Bibliography
2024
Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
ACM Comput. Surv., May, 2024
Knowl. Inf. Syst., March, 2024
CoRR, 2024
Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Personalized Interventions to Increase the Employment Success of People With Disability.
IEEE Trans. Big Data, December, 2023
Pan-cancer characterization of ncRNA synergistic competition uncovers potential carcinogenic biomarkers.
PLoS Comput. Biol., October, 2023
IEEE Trans. Neural Networks Learn. Syst., September, 2023
IEEE Trans. Knowl. Data Eng., September, 2023
Causal heterogeneity discovery by bottom-up pattern search for personalised decision making.
Appl. Intell., April, 2023
Learning Conditional Instrumental Variable Representation for Causal Effect Estimation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Proceedings of the KDD'23 Workshop on Causal Discovery, 2023
Stabilising Job Survival Analysis for Disability Employment Services in Unseen Environments.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Improve interpretability of Information Bottlenecks for Attribution with Layer-wise Relevance Propagation.
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Data Min. Knowl. Discov., 2022
How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics?
Br. J. Educ. Technol., 2022
Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Proceedings of the KDD'22 Workshop on Causal Discovery, 15 August 2022, Washington DC, USA, 2022
What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker?
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2021
PAN: Personalized Annotation-Based Networks for the Prediction of Breast Cancer Relapse.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Exploring cell-specific miRNA regulation with single-cell miRNA-mRNA co-sequencing data.
BMC Bioinform., 2021
Uncovering the roles of microRNAs/lncRNAs in characterising breast cancer subtypes and prognosis.
BMC Bioinform., 2021
pDriver: a novel method for unravelling personalized coding and miRNA cancer drivers.
Bioinform., 2021
Bioinform., 2021
A pseudotemporal causality approach to identifying miRNA-mRNA interactions during biological processes.
Bioinform., 2021
NIBNA: a network-based node importance approach for identifying breast cancer drivers.
Bioinform., 2021
The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge.
Briefings Bioinform., 2021
Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD 2021 Workshop on Causal Discovery, 2021
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021
2020
LMSM: A modular approach for identifying lncRNA related miRNA sponge modules in breast cancer.
PLoS Comput. Biol., 2020
PLoS Comput. Biol., 2020
Nat. Mach. Intell., 2020
Correction to: Identifying miRNA synergism using multiple-intervention causal inference.
BMC Bioinform., 2020
IEEE Access, 2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the 2020 KDD Workshop on Causal Discovery (CD@KDD 2020), 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020
Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data.
Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020
2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
CBNA: A control theory based method for identifying coding and non-coding cancer drivers.
PLoS Comput. Biol., 2019
BMC Bioinform., 2019
miRspongeR: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules.
BMC Bioinform., 2019
Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal prediction.
BMC Bioinform., 2019
Inferring and analyzing module-specific lncRNA-mRNA causal regulatory networks in human cancer.
Briefings Bioinform., 2019
Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, 2019
2018
BMC Bioinform., 2018
miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase.
BMC Bioinform., 2018
LncmiRSRN: identification and analysis of long non-coding RNA related miRNA sponge regulatory network in human cancer.
Bioinform., 2018
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018
Proceedings of 2018 ACM SIGKDD Workshop on Causal Discovery, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
IEEE Trans. Multim., 2017
Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer.
BMC Bioinform., 2017
BMC Bioinform., 2017
Bioinform., 2017
CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization.
Bioinform., 2017
Briefings Bioinform., 2017
Identifying microRNA targets in epithelial-mesenchymal transition using joint-intervention causal inference.
Proceedings of the 8th International Conference on Computational Systems-Biology and Bioinformatics, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
ACM Trans. Intell. Syst. Technol., 2016
Identification of miRNA-mRNA regulatory modules by exploring collective group relationships.
BMC Genom., 2016
2015
Springer Briefs in Electrical and Computer Engineering, Springer, ISBN: 978-3-319-14433-7, 2015
CoRR, 2015
CoRR, 2015
From miRNA regulation to miRNA-TF co-regulation: computational approaches and challenges.
Briefings Bioinform., 2015
2014
J. Biomed. Informatics, 2014
Inferring condition-specific miRNA activity from matched miRNA and mRNA expression data.
Bioinform., 2014
2013
Inferring microRNA and transcription factor regulatory networks in heterogeneous data.
BMC Bioinform., 2013
Bioinform., 2013
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012