Thuc Duy Le

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 96

Top Venues

Publications

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)
Li Lin, Yamini Sri Krubha, Zhenhuan Yang, Cheng Ren, Thuc Duy Le, Irene Amerini, Xin Wang, Shu Hu
Robust COVID-19 Detection in CT Images with CLIP. CoRR (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)
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)
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)
Jiuyong Li, Lin Liu, Ziqi Xu, Ha Xuan Tran, Thuc Duy Le, Jixue Liu
Linking a predictive model to causal effect estimation. CoRR (2023)
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)
Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. CoRR (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)
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)
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. CoRR (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)
Thuc Duy Le, Jiuyong Li, Robert Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi
Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision. CDPD (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)
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)
Thuc Duy Le
The KDD'23 Workshop on Causal Discovery, Prediction and Decision (CDPD 2023). KDD (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)
Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey. CoRR (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)
Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu
The KDD 2022 Workshop on Causal Discovery (CD2022). KDD (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)
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)
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)
Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
Causal Inference with Conditional Instruments using Deep Generative Models. CoRR (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)
Thin Nguyen, Hang Le, Thomas P. Quinn, Tri Nguyen, Thuc Duy Le, Svetha Venkatesh
GraphDTA: predicting drug-target binding affinity with graph neural networks. Bioinform. 37 (8) (2021)
Thin Nguyen, Samuel C. Lee, Thomas P. Quinn, Buu Minh Thanh Truong, Xiaomei Li, Truyen Tran, Svetha Venkatesh, Thuc Duy Le
PAN: Personalized Annotation-Based Networks for the Prediction of Breast Cancer Relapse. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (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)
Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash
The KDD 2021 Workshop on Causal Discovery (CD2021). KDD (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)
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)
Mandar S. Chaudhary, Vu Viet Hoang Pham, Thuc Duy Le
NIBNA: a network-based node importance approach for identifying breast cancer drivers. Bioinform. 37 (17) (2021)
Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash
Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery. CD@KDD (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)
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)
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)
Jianhan Pan, Teng Cui, Thuc Duy Le, Xiaomei Li, Jing Zhang
Multi-Group Transfer Learning on Multiple Latent Spaces for Text Classification. IEEE Access 8 (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)
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)
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)
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)
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)
Thin Nguyen, Duc Thanh Nguyen, Thuc Duy Le, Svetha Venkatesh
MrPC: Causal Structure Learning in Distributed Systems. ICONIP (4) (2020)
Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu
LoPAD: A Local Prediction Approach to Anomaly Detection. PAKDD (2) (2020)
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)
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)
Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le
Discovering context specific causal relationships. Intell. Data Anal. 23 (4) (2019)
Vu Viet Hoang Pham, Junpeng Zhang, Lin Liu, Buu Minh Thanh Truong, Taosheng Xu, Trung T. Nguyen, Jiuyong Li, Thuc Duy Le
Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal prediction. BMC Bioinform. 20 (1) (2019)
Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen
Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery. CD@KDD (2019)
Junpeng Zhang, Vu Viet Hoang Pham, Lin Liu, Taosheng Xu, Buu Minh Thanh Truong, Jiuyong Li, Nini Rao, Thuc Duy Le
Identifying miRNA synergism using multiple-intervention causal inference. BMC Bioinform. (23) (2019)
Junpeng Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li
Inferring and analyzing module-specific lncRNA-mRNA causal regulatory networks in human cancer. Briefings Bioinform. 20 (4) (2019)
Saisai Ma, Lin Liu, Jiuyong Li, Thuc Duy Le
Data-driven discovery of causal interactions. Int. J. Data Sci. Anal. 8 (3) (2019)
Jiuyong Li, Saisai Ma, Lin Liu, Thuc Duy Le, Jixue Liu, Yizhao Han
Identify treatment effect patterns for personalised decisions. CoRR (2019)
Taosheng Xu, Ning Su, Lin Liu, Junpeng Zhang, Hongqiang Wang, Weijia Zhang, Jie Gui, Kui Yu, Jiuyong Li, Thuc Duy Le
miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase. BMC Bioinform. (19) (2018)
Thuc Duy Le, Taosheng Xu, Lin Liu, Hu Shu, Tao Hoang, Jiuyong Li
ParallelPC: An R Package for Efficient Causal Exploration in Genomic Data. PAKDD (Workshops) (2018)
Junpeng Zhang, Lin Liu, Jiuyong Li, Thuc Duy Le
LncmiRSRN: identification and analysis of long non-coding RNA related miRNA sponge regulatory network in human cancer. Bioinform. 34 (24) (2018)
Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le
Discovering Context Specific Causal Relationships. CoRR (2018)
Jixue Liu, Jiuyong Li, Lin Liu, Thuc Duy Le, Feiyue Ye, Gefei Li
FairMod - Making Predictive Models Discrimination Aware. CoRR (2018)
Thuc Duy Le, Kun Zhang, Emre Kiciman, Aapo Hyvärinen, Lin Liu
Preface: The 2018 ACM SIGKDD Workshop on Causal Discovery. CD@KDD (2018)
Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le
Effective Outlier Detection based on Bayesian Network and Proximity. IEEE BigData (2018)
Weijia Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li
Estimating heterogeneous treatment effect by balancing heterogeneity and fitness. BMC Bioinform. (19) (2018)
Jixue Liu, Jiuyong Li, Feiyue Ye, Lin Liu, Thuc Duy Le, Ping Xiong
An exploration of algorithmic discrimination in data and classification. CoRR (2018)
Huawen Liu, Lin Liu, Thuc Duy Le, Ivan Lee, Shiliang Sun, Jiuyong Li
Nonparametric Sparse Matrix Decomposition for Cross-View Dimensionality Reduction. IEEE Trans. Multim. 19 (8) (2017)
Weijia Zhang, Thuc Duy Le, Lin Liu, Zhi-Hua Zhou, Jiuyong Li
Mining heterogeneous causal effects for personalized cancer treatment. Bioinform. 33 (15) (2017)
Thuc Duy Le, Junpeng Zhang, Lin Liu, Buu Minh Thanh Truong, Shu Hu, Taosheng Xu, Jiuyong Li
Identifying microRNA targets in epithelial-mesenchymal transition using joint-intervention causal inference. CSBio (2017)
Junpeng Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li
Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer. BMC Bioinform. 18 (1) (2017)
Jiuyong Li, Jixue Liu, Lin Liu, Thuc Duy Le, Saisai Ma, Yizhao Han
Discrimination detection by causal effect estimation. IEEE BigData (2017)
Junpeng Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li
Identifying miRNA sponge modules using biclustering and regulatory scores. BMC Bioinform. 18 (S-3) (2017)
Thuc Duy Le, Junpeng Zhang, Lin Liu, Jiuyong Li
Computational methods for identifying miRNA sponge interactions. Briefings Bioinform. 18 (4) (2017)
Taosheng Xu, Thuc Duy Le, Lin Liu, Ning Su, Rujing Wang, Bing-Yu Sun, Antonio Colaprico, Gianluca Bontempi, Jiuyong Li
CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization. Bioinform. 33 (19) (2017)
Jiuyong Li, Saisai Ma, Thuc Duy Le, Lin Liu, Jixue Liu
Causal Decision Trees. IEEE Trans. Knowl. Data Eng. 29 (2) (2017)
S. M. Masud Karim, Lin Liu, Thuc Duy Le, Jiuyong Li
Identification of miRNA-mRNA regulatory modules by exploring collective group relationships. BMC Genom. 17 (S-1) (2016)
Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun, Saisai Ma
From Observational Studies to Causal Rule Mining. ACM Trans. Intell. Syst. Technol. 7 (2) (2016)
Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le
Mining combined causes in large data sets. Knowl. Based Syst. 92 (2016)
Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Huawen Liu
A fast PC algorithm for high dimensional causal discovery with multi-core PCs. CoRR (2015)
Jiuyong Li, Saisai Ma, Thuc Duy Le, Lin Liu, Jixue Liu
Causal Decision Trees. CoRR (2015)
Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun, Saisai Ma
From Observational Studies to Causal Rule Mining. CoRR (2015)
Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Shu Hu
ParallelPC: an R package for efficient constraint based causal exploration. CoRR (2015)

Thuc Duy Le.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Thuc Duy Le