All Stories

  1. Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey

    Article • ACM Computing Surveys, December 2023, ACM (Association for Computing Machinery)

    Thuc Le, Debo Cheng

  2. What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker?

    Article • August 2022, ACM (Association for Computing Machinery)

    Ha Tran, Thuc Le

  3. The KDD 2022 Workshop on Causal Discovery (CD2022)

    Article • August 2022, ACM (Association for Computing Machinery)

    Huan LIu, Thuc Le

  4. Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability

    Article • August 2021, ACM (Association for Computing Machinery)

    Ha Tran, Thuc Le

  5. The KDD 2021 Workshop on Causal Discovery (CD2021)

    Article • August 2021, ACM (Association for Computing Machinery)

    Huan LIu, negar kiyavash, Thuc Le

  6. A novel single-cell based method for breast cancer prognosis

    Article • PLoS Computational Biology, August 2020, PLOS

    Thuc Le

  7. LMSM: A modular approach for identifying lncRNA related miRNA sponge modules in breast cancer

    Article • PLoS Computational Biology, April 2020, PLOS

    Thuc Le

  8. CBNA: A control theory based method for identifying coding and non-coding cancer drivers

    Article • PLoS Computational Biology, December 2019, PLOS

    Thuc Le

  9. From Observational Studies to Causal Rule Mining

    Article • ACM Transactions on Intelligent Systems and Technology, January 2016, ACM (Association for Computing Machinery)

    Thuc Le