Thuc Duy Le

According to our database, Thuc Duy Le authored at least 99 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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., May, 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., March, 2024

Robust COVID-19 Detection in CT Images with CLIP.

Li Lin, Yamini Sri Krubha, Zhenhuan Yang, Cheng Ren, Thuc Duy Le, Irene Amerini, Xin Wang, Shu Hu

CoRR, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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, December, 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., October, 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., September, 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., September, 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., April, 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

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

Linking a predictive model to causal effect estimation.

Jiuyong Li, Lin Liu, Ziqi Xu, Ha Xuan Tran, Thuc Duy Le, Jixue Liu

CoRR, 2023

Learning Conditional Instrumental Variable Representation for Causal Effect Estimation.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision.

Thuc Duy Le, Jiuyong Li, Robert Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi

Proceedings of the KDD'23 Workshop on Causal Discovery, 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, 2023

The KDD'23 Workshop on Causal Discovery, Prediction and Decision (CDPD 2023).

Thuc Duy Le

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.

Xiongren Chen, Jiuyong Li, Jixue Liu, Stefan Peters, Lin Liu, Thuc Duy Le, Anthony Walsh

Proceedings of the IEEE International Conference on Big Data, 2023

Causal Inference with Conditional Instruments Using Deep Generative Models.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

Explanatory causal effects for model agnostic explanations.

Jiuyong Li, Ha Xuan Tran, Thuc Duy Le, Lin Liu, Kui Yu, 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

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

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

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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Preface: The 2022 ACM SIGKDD Workshop on Causal Discovery.

Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu

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?

Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

The KDD 2022 Workshop on Causal Discovery (CD2022).

Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 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, 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

Proceedings of the IEEE International Conference on Big Data, 2022

2021

PAN: Personalized Annotation-Based Networks for the Prediction of Breast Cancer Relapse.

Thin Nguyen, Samuel C. Lee, Thomas P. Quinn, Buu Minh Thanh Truong, Xiaomei Li, Truyen Tran, Svetha Venkatesh, Thuc Duy Le

IEEE ACM Trans. Comput. Biol. Bioinform., 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

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

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

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

GraphDTA: predicting drug-target binding affinity with graph neural networks.

Thin Nguyen, Hang Le, Thomas P. Quinn, Tri Nguyen, Thuc Duy Le, Svetha Venkatesh

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

NIBNA: a network-based node importance approach for identifying breast cancer drivers.

Mandar S. Chaudhary, Vu Viet Hoang Pham, Thuc Duy Le

Bioinform., 2021

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

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

The KDD 2021 Workshop on Causal Discovery (CD2021).

Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery.

Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash

Proceedings of the KDD 2021 Workshop on Causal Discovery, 2021

Divide and Conquer: Targeted Adversary Detection using Proximity and Dependency.

Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu

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.

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

Multi-Source Causal Feature Selection.

Kui Yu, Lin Liu, Jiuyong Li, Wei Ding, Thuc Duy Le

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Accurate data-driven prediction does not mean high reproducibility.

Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu

Nat. Mach. Intell., 2020

Dependency-based Anomaly Detection: Framework, Methods and Benchmark.

Sha Lu, Lin Liu, Jiuyong Li, 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

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

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

Multi-Group Transfer Learning on Multiple Latent Spaces for Text Classification.

Jianhan Pan, Teng Cui, Thuc Duy Le, Xiaomei Li, Jing Zhang

IEEE Access, 2020

LoPAD: A Local Prediction Approach to Anomaly Detection.

Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery.

Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen

Proceedings of the 2020 KDD Workshop on Causal Discovery (CD@KDD 2020), 2020

MrPC: Causal Structure Learning in Distributed Systems.

Thin Nguyen, Duc Thanh Nguyen, Thuc Duy Le, Svetha Venkatesh

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Causal Query in Observational Data with Hidden Variables.

Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le

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

Intervention Recommendation for Improving Disability Employment.

Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Building Fair Predictive Models.

Jixue Liu, Jiuyong Li, Feiyue Ye, Lin Liu, Thuc Duy Le, Ping Xiong, Hong-Cheu Liu

Proceedings of the AI 2020: Advances in Artificial Intelligence, 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

Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

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

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

Data-driven discovery of causal interactions.

Saisai Ma, Lin Liu, Jiuyong Li, Thuc Duy Le

Int. J. Data Sci. Anal., 2019

Discovering context specific causal relationships.

Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le

Intell. Data Anal., 2019

Identify treatment effect patterns for personalised decisions.

Jiuyong Li, Saisai Ma, Lin Liu, Thuc Duy Le, Jixue Liu, Yizhao Han

CoRR, 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

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-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

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

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, 2019

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

FairMod - Making Predictive Models Discrimination Aware.

Jixue Liu, Jiuyong Li, Lin Liu, Thuc Duy Le, Feiyue Ye, Gefei Li

CoRR, 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

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

ParallelPC: An R Package for Efficient Causal Exploration in Genomic Data.

Thuc Duy Le, Taosheng Xu, Lin Liu, Hu Shu, Tao Hoang, Jiuyong Li

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

Preface: The 2018 ACM SIGKDD Workshop on Causal Discovery.

Thuc Duy Le, Kun Zhang, Emre Kiciman, Aapo Hyvärinen, Lin Liu

Proceedings of 2018 ACM SIGKDD Workshop on Causal Discovery, 2018

Effective Outlier Detection based on Bayesian Network and Proximity.

Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

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

Causal Decision Trees.

Jiuyong Li, Saisai Ma, Thuc Duy Le, Lin Liu, Jixue Liu

IEEE Trans. Knowl. Data Eng., 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

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

Computational methods for identifying miRNA sponge interactions.

Thuc Duy Le, Junpeng Zhang, Lin Liu, Jiuyong Li

Briefings Bioinform., 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, 2017

Discrimination detection by causal effect estimation.

Jiuyong Li, Jixue Liu, Lin Liu, Thuc Duy Le, Saisai Ma, Yizhao Han

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

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

Mining combined causes in large data sets.

Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le

Knowl. Based Syst., 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

2015

Practical Approaches to Causal Relationship Exploration

Jiuyong Li, Lin Liu, Thuc Duy Le

Springer Briefs in Electrical and Computer Engineering, Springer, ISBN: 978-3-319-14433-7, 2015

Mining Combined Causes.

Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le

CoRR, 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

ParallelPC: an R package for efficient constraint based causal exploration.

Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Shu Hu

CoRR, 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

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

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

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

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

Mining Causal Association Rules.

Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012

Discovery of Causal Rules Using Partial Association.

Zhou Jin, Jiuyong Li, Lin Liu, Thuc Duy Le, Bing-Yu Sun, Rujing Wang

Proceedings of the 12th IEEE International Conference on Data Mining, 2012