Thuc Duy Le

137 papers A* 13A 2B 3C 1Misc 2Journal 89Unranked 20
YearRankTypeTitle / Venue / Authors
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 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
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
Causal-Aware Generative Adversarial Networks with Reinforcement Learning.
CoRR
Tu Anh Hoang Nguyen, Dang Nguyen, Tri-Nhan Vo, Thuc Duy Le, Sunil Gupta
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 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 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
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 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
Stable Breast Cancer Prognosis.
IEEE Trans. Comput. Biol. Bioinform.
Xiaomei Li, Lin Liu, Jiuyong Li, Thuc Duy Le
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
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
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
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
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 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 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 — conf
Robust COVID-19 Detection in CT Images with CLIP.
MIPR
Li Lin, Yamini Sri Krubha, Zhenhuan Yang, Cheng Ren, Thuc Duy Le, Irene Amerini, Xin Wang, Shu Hu
2024 J jnl
Robust COVID-19 Detection in CT Images with CLIP.
CoRR
Li Lin, Yamini Sri Krubha, Zhenhuan Yang, Cheng Ren, Thuc Duy Le, Irene Amerini, Xin Wang, Shu Hu
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
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 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 — 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
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 — conf
Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision.
CDPD
Thuc Duy Le, Jiuyong Li, Robert Osazuwa Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi
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 A* conf
The KDD'23 Workshop on Causal Discovery, Prediction and Decision (CDPD 2023).
KDD
Thuc Duy Le
2023 — ed.
The KDD'23 Workshop on Causal Discovery, Prediction and Decision, 07 August 2023, Long Beach, CA, USA
CDPD
Thuc Duy Le, Jiuyong Li, Robert Osazuwa Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi
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 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 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
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
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
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 — conf
Preface: The 2022 ACM SIGKDD Workshop on Causal Discovery.
CD@KDD
Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu
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 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 — 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
GraphDTA: predicting drug-target binding affinity with graph neural networks.
Bioinform.
Thin Nguyen, Hang Le, Thomas P. Quinn, Tri Nguyen, Thuc Duy Le, Svetha Venkatesh
2021 J jnl
NIBNA: a network-based node importance approach for identifying breast cancer drivers.
Bioinform.
Mandar S. Chaudhary, Vu Viet Hoang Pham, Thuc Duy Le
2021 J jnl
PAN: Personalized Annotation-Based Networks for the Prediction of Breast Cancer Relapse.
IEEE ACM Trans. Comput. Biol. Bioinform.
Thin Nguyen, Samuel C. Lee, Thomas P. Quinn, Buu Minh Thanh Truong, Xiaomei Li, Truyen Tran, Svetha Venkatesh, Thuc Duy Le
2021 — conf
Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery.
CD@KDD
Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash
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 A* conf
The KDD 2021 Workshop on Causal Discovery (CD2021).
KDD
Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash
2021 — ed.
The KDD 2021 Workshop on Causal Discovery, CD@KDD 2021, Singapore, August 15, 2021.
CD@KDD
Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash
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 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
Accurate data-driven prediction does not mean high reproducibility.
Nat. Mach. Intell.
Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu
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 — 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 — conf
LoPAD: A Local Prediction Approach to Anomaly Detection.
PAKDD (2)
Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu
2020 — conf
MrPC: Causal Structure Learning in Distributed Systems.
ICONIP (4)
Thin Nguyen, Duc Thanh Nguyen, Thuc Duy Le, Svetha Venkatesh
2020 J jnl
Multi-Group Transfer Learning on Multiple Latent Spaces for Text Classification.
IEEE Access
Jianhan Pan, Teng Cui, Thuc Duy Le, Xiaomei Li, Jing Zhang
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 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
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 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 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
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 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
Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery.
CD@KDD
Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen
2019 — ed.
Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, CD@KDD 2019, Anchorage, Alaska, USA, August 5, 2019
CD@KDD
Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen
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
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
Discovering Context Specific Causal Relationships.
CoRR
Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le
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
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 — 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 — 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 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 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 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 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
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 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
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
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