Discovery of Causal Rules Using Partial Association. - Zhou Jin 003; Jiuyong Li; Lin Liu 003; Thuc Duy Le; Bing-Yu Sun; Rujing Wang (ICDM, 2012)

Mining Causal Association Rules. - Jiuyong Li; Thuc Duy Le; Lin Liu 003; Jixue Liu; Zhou Jin 003; Bing-Yu Sun (ICDM Workshops, 2013)

Inferring microRNA-mRNA causal regulatory relationships from expression data. - Thuc Duy Le; Lin Liu 003; Anna Tsykin; Gregory J. Goodall; Bing Liu 002; Bing-Yu Sun; Jiuyong Li (Bioinform., 2013)

Inferring microRNA and transcription factor regulatory networks in heterogeneous data. - Thuc Duy Le; Lin Liu 003; Bing Liu 002; Anna Tsykin; Gregory J. Goodall; Kenji Satou; Jiuyong Li (BMC Bioinform., 2013)

Inferring condition-specific miRNA activity from matched miRNA and mRNA expression data. - Junpeng Zhang 001; Thuc Duy Le; Lin Liu 003; Bing Liu 002; Jianfeng He 001; Gregory J. Goodall; Jiuyong Li (Bioinform., 2014)

Identifying direct miRNA-mRNA causal regulatory relationships in heterogeneous data. - Junpeng Zhang 001; Thuc Duy Le; Lin Liu 003; Bing Liu 002; Jianfeng He 001; Gregory J. Goodall; Jiuyong Li (J. Biomed. Informatics, 2014)

From miRNA regulation to miRNA-TF co-regulation: computational approaches and challenges. - Thuc Duy Le; Lin Liu 003; Junpeng Zhang 001; Bing Liu 002; Jiuyong Li (Briefings Bioinform., 2015)

ParallelPC: an R package for efficient constraint based causal exploration. - Thuc Duy Le; Tao Hoang; Jiuyong Li; Lin Liu 003; Shu Hu 001 (CoRR, 2015)

A fast PC algorithm for high dimensional causal discovery with multi-core PCs. - Thuc Duy Le; Tao Hoang; Jiuyong Li; Lin Liu 003; Huawen Liu (CoRR, 2015)

Mining Combined Causes. - Saisai Ma; Jiuyong Li; Lin Liu 003; Thuc Duy Le (CoRR, 2015)

Practical Approaches to Causal Relationship Exploration - Jiuyong Li; Lin Liu 003; Thuc Duy Le (Springer, 2015)

Identification of miRNA-mRNA regulatory modules by exploring collective group relationships. - S. M. Masud Karim; Lin Liu 003; Thuc Duy Le; Jiuyong Li (BMC Genom., 2016)

Mining combined causes in large data sets. - Saisai Ma; Jiuyong Li; Lin Liu 003; Thuc Duy Le (Knowl. Based Syst., 2016)

From Observational Studies to Causal Rule Mining. - Jiuyong Li; Thuc Duy Le; Lin Liu 003; Jixue Liu; Zhou Jin 003; Bing-Yu Sun; Saisai Ma (ACM Trans. Intell. Syst. Technol., 2016)

Discrimination detection by causal effect estimation. - Jiuyong Li; Jixue Liu; Lin Liu 003; Thuc Duy Le; Saisai Ma; Yizhao Han (IEEE BigData, 2017)

Identifying microRNA targets in epithelial-mesenchymal transition using joint-intervention causal inference. - Thuc Duy Le; Junpeng Zhang 001; Lin Liu 003; Buu Minh Thanh Truong; Shu Hu 001; Taosheng Xu; Jiuyong Li (CSBio, 2017)

Computational methods for identifying miRNA sponge interactions. - Thuc Duy Le; Junpeng Zhang 001; Lin Liu 003; Jiuyong Li (Briefings Bioinform., 2017)

CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization. - Taosheng Xu; Thuc Duy Le; Lin Liu 003; Ning Su; Rujing Wang; Bing-Yu Sun; Antonio Colaprico; Gianluca Bontempi; Jiuyong Li (Bioinform., 2017)

Mining heterogeneous causal effects for personalized cancer treatment. - Weijia Zhang 001; Thuc Duy Le; Lin Liu 003; Zhi-Hua Zhou; Jiuyong Li (Bioinform., 2017)

Identifying miRNA sponge modules using biclustering and regulatory scores. - Junpeng Zhang 001; Thuc Duy Le; Lin Liu 003; Jiuyong Li (BMC Bioinform., 2017)

Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer. - Junpeng Zhang 001; Thuc Duy Le; Lin Liu 003; Jiuyong Li (BMC Bioinform., 2017)

Causal Decision Trees. - Jiuyong Li; Saisai Ma; Thuc Duy Le; Lin Liu 003; Jixue Liu (IEEE Trans. Knowl. Data Eng., 2017)

Nonparametric Sparse Matrix Decomposition for Cross-View Dimensionality Reduction. - Huawen Liu; Lin Liu 003; Thuc Duy Le; Ivan Lee 001; Shiliang Sun; Jiuyong Li (IEEE Trans. Multim., 2017)

Effective Outlier Detection based on Bayesian Network and Proximity. - Sha Lu 001; Lin Liu 003; Jiuyong Li; Thuc Duy Le (IEEE BigData, 2018)

Preface: The 2018 ACM SIGKDD Workshop on Causal Discovery. - Thuc Duy Le; Kun Zhang 001; Emre Kiciman; Aapo Hyvärinen; Lin Liu 003 (CD@KDD, 2018)

ParallelPC: An R Package for Efficient Causal Exploration in Genomic Data. - Thuc Duy Le; Taosheng Xu; Lin Liu 003; Hu Shu; Tao Hoang; Jiuyong Li (PAKDD (Workshops), 2018)

LncmiRSRN: identification and analysis of long non-coding RNA related miRNA sponge regulatory network in human cancer. - Junpeng Zhang 001; Lin Liu 003; Jiuyong Li; Thuc Duy Le (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 003; Junpeng Zhang 001; Hongqiang Wang; Weijia Zhang 001; Jie Gui; Kui Yu; Jiuyong Li; Thuc Duy Le (BMC Bioinform., 2018)

Estimating heterogeneous treatment effect by balancing heterogeneity and fitness. - Weijia Zhang 001; Thuc Duy Le; Lin Liu 003; Jiuyong Li (BMC Bioinform., 2018)

FairMod - Making Predictive Models Discrimination Aware. - Jixue Liu; Jiuyong Li; Lin Liu 003; Thuc Duy Le; Feiyue Ye; Gefei Li 001 (CoRR, 2018)

An exploration of algorithmic discrimination in data and classification. - Jixue Liu; Jiuyong Li; Feiyue Ye; Lin Liu 003; Thuc Duy Le; Ping Xiong 005 (CoRR, 2018)

Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery. - Thuc Duy Le; Jiuyong Li; Kun Zhang 001; Emre Kiciman; Peng Cui 001; Aapo Hyvärinen (CD@KDD, 2019)

Inferring and analyzing module-specific lncRNA-mRNA causal regulatory networks in human cancer. - Junpeng Zhang 001; Thuc Duy Le; Lin Liu 003; Jiuyong Li (Briefings Bioinform., 2019)

Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal prediction. - Vu Viet Hoang Pham; Junpeng Zhang 001; Lin Liu 003; Buu Minh Thanh Truong; Taosheng Xu; Trung T. Nguyen; Jiuyong Li; 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 001; Lin Liu 003; Taosheng Xu; Yong Xie; Chunwen Zhao; Jiuyong Li; Thuc Duy Le (BMC Bioinform., 2019)

Identifying miRNA synergism using multiple-intervention causal inference. - Junpeng Zhang 001; Vu Viet Hoang Pham; Lin Liu 003; Taosheng Xu; Buu Minh Thanh Truong; Jiuyong Li; Nini Rao; Thuc Duy Le (BMC Bioinform., 2019)

Identify treatment effect patterns for personalised decisions. - Jiuyong Li; Saisai Ma; Lin Liu 003; Thuc Duy Le; Jixue Liu; Yizhao Han (CoRR, 2019)

Discovering context specific causal relationships. - Saisai Ma; Jiuyong Li; Lin Liu 003; Thuc Duy Le (Intell. Data Anal., 2019)

Data-driven discovery of causal interactions. - Saisai Ma; Lin Liu 003; Jiuyong Li; Thuc Duy Le (Int. J. Data Sci. Anal., 2019)

CBNA: A control theory based method for identifying coding and non-coding cancer drivers. - Vu Viet Hoang Pham; Lin Liu 003; Cameron Bracken; Gregory J. Goodall; Qi Long; Jiuyong Li; Thuc Duy Le (PLoS Comput. Biol., 2019)

A Fast PC Algorithm for High Dimensional Causal Discovery with Multi-Core PCs. - Thuc Duy Le; Tao Hoang; Jiuyong Li; Lin Liu 003; Huawen Liu; Shu Hu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data. - Junpeng Zhang 001; Thin Nguyen; Buu Minh Thanh Truong; Lin Liu 003; Jiuyong Li; Thuc Duy Le (ADMA, 2020)

Building Fair Predictive Models. - Jixue Liu; Jiuyong Li; Feiyue Ye; Lin Liu 003; Thuc Duy Le; Ping Xiong 005; Hong-Cheu Liu (Australasian Conference on Artificial Intelligence, 2020)

Intervention Recommendation for Improving Disability Employment. - Ha Xuan Tran; Thuc Duy Le; Jiuyong Li; Lin Liu 003; Jixue Liu; Yanchang Zhao; Tony Waters (IEEE BigData, 2020)

Causal Query in Observational Data with Hidden Variables. - Debo Cheng; Jiuyong Li; Lin Liu 003; Jixue Liu; Kui Yu; Thuc Duy Le (ECAI, 2020)

MrPC: Causal Structure Learning in Distributed Systems. - Thin Nguyen; Duc Thanh Nguyen; Thuc Duy Le; Svetha Venkatesh (ICONIP (4), 2020)

Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery. - Thuc Duy Le; Lin Liu 003; Kun Zhang 001; Emre Kiciman; Peng Cui 001; Aapo Hyvärinen (CD@KDD, 2020)

LoPAD: A Local Prediction Approach to Anomaly Detection. - Sha Lu 001; Lin Liu 003; Jiuyong Li; Thuc Duy Le; Jixue Liu (PAKDD (2), 2020)

Multi-Group Transfer Learning on Multiple Latent Spaces for Text Classification. - Jianhan Pan; Teng Cui; Thuc Duy Le; Xiaomei Li; Jing Zhang 015 (IEEE Access, 2020)

DriverGroup: a novel method for identifying driver gene groups. - Vu Viet Hoang Pham; Lin Liu 003; Cameron Bracken; Gregory J. Goodall; Jiuyong Li; Thuc Duy Le (Bioinform., 2020)

Correction to: Identifying miRNA synergism using multiple-intervention causal inference. - Junpeng Zhang 001; Vu Viet Hoang Pham; Lin Liu 003; Taosheng Xu; Buu Minh Thanh Truong; Jiuyong Li; Nini Rao; Thuc Duy Le (BMC Bioinform., 2020)

Towards precise causal effect estimation from data with hidden variables. - Debo Cheng; Jiuyong Li; Lin Liu 003; Kui Yu; Thuc Duy Le; Jixue Liu (CoRR, 2020)

Computational methods for cancer driver discovery: A survey. - Vu Viet Hoang Pham; Lin Liu 003; Cameron Bracken; Gregory J. Goodall; Jiuyong Li; Thuc Duy Le (CoRR, 2020)

Dependency-based Anomaly Detection: Framework, Methods and Benchmark. - Sha Lu 001; Lin Liu 003; Jiuyong Li; Thuc Duy Le; Jixue Liu (CoRR, 2020)

Accurate data-driven prediction does not mean high reproducibility. - Jiuyong Li; Lin Liu 003; Thuc Duy Le; Jixue Liu (Nat. Mach. Intell., 2020)

Multi-Source Causal Feature Selection. - Kui Yu; Lin Liu 003; Jiuyong Li; Wei Ding 003; Thuc Duy Le (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

A novel single-cell based method for breast cancer prognosis. - Xiaomei Li; Lin Liu 003; Gregory J. Goodall; Andreas W. Schreiber; Taosheng Xu; Jiuyong Li; Thuc Duy Le (PLoS Comput. Biol., 2020)

LMSM: A modular approach for identifying lncRNA related miRNA sponge modules in breast cancer. - Junpeng Zhang 001; Taosheng Xu; Lin Liu 003; Wu Zhang; Chunwen Zhao; Sijing Li; Jiuyong Li; Nini Rao; Thuc Duy Le (PLoS Comput. Biol., 2020)

Divide and Conquer: Targeted Adversary Detection using Proximity and Dependency. - Sha Lu 001; Lin Liu 003; Jiuyong Li; Thuc Duy Le; Jixue Liu (ICBK, 2021)

Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery. - Thuc Duy Le; Jiuyong Li; Gregory F. Cooper; Sofia Triantafyllou; Elias Bareinboim; Huan Liu 001; Negar Kiyavash (CD@KDD, 2021)

The KDD 2021 Workshop on Causal Discovery (CD2021). - Thuc Duy Le; Jiuyong Li; Gregory F. Cooper; Sofia Triantafillou; Elias Bareinboim; Huan Liu 001; Negar Kiyavash (KDD, 2021)

Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability. - Ha Xuan Tran; Thuc Duy Le; Jiuyong Li; Lin Liu 003; Jixue Liu; Yanchang Zhao; Tony Waters (KDD, 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 003; Jiuyong Li; Thuc Duy Le (Briefings 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)

A pseudotemporal causality approach to identifying miRNA-mRNA interactions during biological processes. - Andres M. Cifuentes-Bernal; Vu Viet Hoang Pham; Xiaomei Li; Lin Liu 003; Jiuyong Li; Thuc Duy Le (Bioinform., 2021)

GraphDTA: predicting drug-target binding affinity with graph neural networks. - Thin Nguyen; Hang Le 003; Thomas P. Quinn; Tri Nguyen; Thuc Duy Le; Svetha Venkatesh (Bioinform., 2021)

pDriver: a novel method for unravelling personalized coding and miRNA cancer drivers. - Vu Viet Hoang Pham; Lin Liu 003; Cameron Bracken; Thin Nguyen; Gregory J. Goodall; Jiuyong Li; Thuc Duy Le (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 003; Jiuyong Li; Thuc Duy Le (BMC Bioinform., 2021)

Exploring cell-specific miRNA regulation with single-cell miRNA-mRNA co-sequencing data. - Junpeng Zhang 001; Lin Liu 003; Taosheng Xu; Wu Zhang; Chunwen Zhao; Sijing Li; Jiuyong Li; Nini Rao; Thuc Duy Le (BMC Bioinform., 2021)

A general framework for causal classification. - Jiuyong Li; Weijia Zhang 001; Lin Liu 003; Kui Yu; Thuc Duy Le; Jixue Liu (Int. J. Data Sci. Anal., 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 001; Svetha Venkatesh; Thuc Duy Le (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Decision Support for Disability Employment using Counterfactual Survival Analysis. - Ha Xuan Tran; Thuc Duy Le; Jiuyong Li; Lin Liu 003; Jixue Liu; Yanchang Zhao; Tony Waters (IEEE Big Data, 2022)

Ancestral Instrument Method for Causal Inference without Complete Knowledge. - Debo Cheng; Jiuyong Li; Lin Liu 003; Jiji Zhang; Thuc Duy Le; Jixue Liu (IJCAI, 2022)

The KDD 2022 Workshop on Causal Discovery (CD2022). - Thuc Duy Le; Lin Liu 003; Emre Kiciman; Sofia Triantafyllou; Huan Liu 001 (KDD, 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 003; Jixue Liu; Yanchang Zhao; Tony Waters (KDD, 2022)

Preface: The 2022 ACM SIGKDD Workshop on Causal Discovery. - Thuc Duy Le; Lin Liu 003; Emre Kiciman; Sofia Triantafyllou; Huan Liu 001 (CD@KDD, 2022)

Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers. - Ha Xuan Tran; Thuc Duy Le; Jiuyong Li; Lin Liu 003; Jixue Liu; Yanchang Zhao; Tony Waters (PAKDD (3), 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 003; Thuc Duy Le (Br. J. Educ. Technol., 2022)

Ancestral instrument method for causal inference without a causal graph. - Debo Cheng; Jiuyong Li; Lin Liu 003; Jiji Zhang; Thuc Duy Le; Jixue Liu (CoRR, 2022)

Explanatory causal effects for model agnostic explanations. - Jiuyong Li; Ha Xuan Tran; Thuc Duy Le; Lin Liu 003; Kui Yu; Jixue Liu (CoRR, 2022)

Sufficient dimension reduction for average causal effect estimation. - Debo Cheng; Jiuyong Li; Lin Liu 003; Thuc Duy Le; Jixue Liu; Kui Yu (Data Min. Knowl. Discov., 2022)

Causal Inference with Conditional Instruments Using Deep Generative Models. - Debo Cheng; Ziqi Xu 001; Jiuyong Li; Lin Liu 003; Jixue Liu; Thuc Duy Le (AAAI, 2023)

Improve interpretability of Information Bottlenecks for Attribution with Layer-wise Relevance Propagation. - Xiongren Chen; Jiuyong Li; Jixue Liu; Stefan Peters; Lin Liu 003; Thuc Duy Le; Anthony Walsh (IEEE Big Data, 2023)

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

Stabilising Job Survival Analysis for Disability Employment Services in Unseen Environments. - Ha Xuan Tran; Thuc Duy Le; Jiuyong Li; Lin Liu 003; Xiaomei Li; Jixue Liu; Tony Waters (KDD, 2023)

Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision. - Thuc Duy Le; Jiuyong Li; Robert Osazuwa Ness; Sofia Triantafillou; Shohei Shimizu; Peng Cui 001; Kun Kuang; Jian Pei 001; Fei Wang 001; Mattia Prosperi (CDPD, 2023)

Learning Conditional Instrumental Variable Representation for Causal Effect Estimation. - Debo Cheng; Ziqi Xu 001; Jiuyong Li; Lin Liu 003; Thuc Duy Le; Jixue Liu (ECML/PKDD (1), 2023)

Linking a predictive model to causal effect estimation. - Jiuyong Li; Lin Liu 003; Ziqi Xu 001; Ha Xuan Tran; Thuc Duy Le; Jixue Liu (CoRR, 2023)

Causal heterogeneity discovery by bottom-up pattern search for personalised decision making. - Jiuyong Li; Lin Liu 003; Shisheng Zhang; Saisai Ma; Thuc Duy Le; Jixue Liu (Appl. Intell., 2023)

Local Search for Efficient Causal Effect Estimation. - Debo Cheng; Jiuyong Li; Lin Liu 003; Jiji Zhang; Jixue Liu; Thuc Duy Le (IEEE Trans. Knowl. Data Eng., 2023)

Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables. - Debo Cheng; Jiuyong Li; Lin Liu 003; Kui Yu; Thuc Duy Le; Jixue Liu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Pan-cancer characterization of ncRNA synergistic competition uncovers potential carcinogenic biomarkers. - Junpeng Zhang 001; Lin Liu 003; Xuemei Wei; Chunwen Zhao; Sijing Li; Jiuyong Li; Thuc Duy Le (PLoS Comput. Biol., 2023)

Personalized Interventions to Increase the Employment Success of People With Disability. - Ha Xuan Tran; Thuc Duy Le; Jiuyong Li; Lin Liu 003; Jixue Liu; Yanchang Zhao; Tony Waters (IEEE Trans. Big Data, 2023)

Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. - Debo Cheng; Ziqi Xu 001; Jiuyong Li; Lin Liu 003; Jixue Liu; Wentao Gao; Thuc Duy Le (AAAI, 2024)

TSI: A Multi-view Representation Learning Approach for Time Series Forecasting. - Wentao Gao; Ziqi Xu 001; Jiuyong Li; Lin Liu 003; Jixue Liu; Thuc Duy Le; Debo Cheng; Yanchang Zhao; Yun Chen 010 (AI (1), 2024)

Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. - Debo Cheng; Ziqi Xu 001; Jiuyong Li; Lin Liu 003; Jixue Liu; Thuc Duy Le (ICLR, 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 045; Shu Hu 001 (MIPR, 2024)

A Deconfounding Approach to Climate Model Bias Correction. - Wentao Gao; Jiuyong Li; Debo Cheng; Lin Liu 003; Jixue Liu; Thuc Duy Le; Xiaojing Du; Xiongren Chen; Yanchang Zhao; Yun Chen 010 (CoRR, 2024)

Linking Model Intervention to Causal Interpretation in Model Explanation. - Debo Cheng; Ziqi Xu 001; Jiuyong Li; Lin Liu 003; Kui Yu; Thuc Duy Le; Jixue Liu (CoRR, 2024)

Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data. - Debo Cheng; Ziqi Xu 001; Jiuyong Li; Lin Liu 003; Thuc Duy Le; Xudong Guo; Shichao Zhang 001 (CoRR, 2024)

Fairmod: making predictions fair in multiple protected attributes. - Jixue Liu; Jiuyong Li; Lin Liu 003; Thuc Duy Le; Feiyue Ye; Gefei Li 001 (Knowl. Inf. Syst., 2024)

Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey. - Debo Cheng; Jiuyong Li; Lin Liu 003; Jixue Liu; Thuc Duy Le (ACM Comput. Surv., 2024)

Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data. - Debo Cheng; Jiuyong Li; Lin Liu 003; Kui Yu; Thuc Duy Le; Jixue Liu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Diffusion Models for Attribution. - Xiongren Chen; Jiuyong Li; Jixue Liu; Lin Liu 003; Stefan Peters; Thuc Duy Le; Wentao Gao; Xiaojing Du; Anthony Walsh (AAAI, 2025)

Peer Effect Estimation in the Presence of Simultaneous Feedback and Unobserved Confounders. - Xiaojing Du; Jiuyong Li; Lin Liu 003; Debo Cheng; Thuc Duy Le (CoRR, 2025)

Disentangled Representation Learning for Causal Inference With Instruments. - Debo Cheng; Jiuyong Li; Lin Liu 003; Ziqi Xu 001; Weijia Zhang 001; Jixue Liu; Thuc Duy Le (IEEE Trans. Neural Networks Learn. Syst., 2025)

Dependency-based anomaly detection: A general framework and comprehensive evaluation. - Sha Lu 001; Lin Liu 003; Kui Yu; Thuc Duy Le; Jixue Liu; Jiuyong Li (Expert Syst. Appl., 2026)