1. Contributed talk at the APS March Meeting 2022 - Chicago, USA (March 2022)
    Bias-imbalance in data- driven materials science: a case study on MODNet
  2. Contributed talk at the 17th ETSF Young Researchers' Meeting - Cagliari, Italy (September 2021)
    MODNet: property prediction for limited datasets and the bias-imbalance issue
  3. Invited talk at CECAM Mixed-Gen workshop (April 2021)
    Accurate and interpretable property prediction for limited materials datasets by feature selection and joint-learning
  4. Contributed talk at the APS Online March Meeting 2021 (March 2021)
    MODNet: property prediction for limited materials datasets by feature selection and joint-learning
  5. Poster presentation at the 2020 Virtual MRS Fall Meeting (November 2020)
    Machine Learning Materials Properties for Small Datasets. Symposium: Data Science and Automation to Accelerate Materials Development and Discovery