Chunyan Li's Website

Conferences, Talks and Posters

  1. 2025 SIAM Conference on Computational Science and Engineering, Fort Worth, Texas, US, (presentation) 3/3-3/7, 2025

  2. Minisymposium on Data Science, Discrete Math, and Theoretical Computing, the 2024 SIAM New York-New Jersey-Pennsylvania Section Conference (SIAM-NNP 2024), Rochester, NY, US, (presentation) Nov. 2024

  3. Minisymposium on Model-Free Long-Horizon Time Series Forecasting with Mamba and Bayesian Neural Networks, the 2024 SIAM on Conference on Mathematics of Data Science (MDS24), Atlanta, Georgia, US, (presentation \& poster) Oct. 2024

  4. Minisymposium on Computational Mathematics for Engineering and Sciences, State College, PA, US, (poster) Nov. 2023
  5. CBMS Conference: Deep Learning and Numerical PDEs, 6/19-6/23, 2023
    Morgan State University, Baltimore, Maryland

  6. 'Tracing and Forecasting Metabolic Indices of Cancer Patients Using Patient-Specific Deep Learning Models' (poster), 6/12-6/16, 2023
    Mathematical and Computational Biology, ICERM, Brown University, Providence, RI

  7. Mathematical and Scientific Machine Learning 6/5-6/9, 2023
    Brown University, Providence, RI

  8. 'Prognostic Models for Sepsis Based on Small Datasets', 3/25-3/26, 2023
    SIAM Southeastern Atlantic Section Annual Meeting, Blacksburg, VA

  9. 'Prognostic Models for Sepsis Based on Short-term ICU Data', 2/10/2023
    The 4th National Big Data Health Science Conference 2023, Columbia, SC

  10. 'Tracing and Forecasting Metabolic Indices of Cancer Patients Using Patient-Specific Deep Learning Models', 11/12/2022
    The 40th Southeastern-Atlantic Regional Conference on Differential Equations, Raleigh, NC

  11. 'Stability analysis of cobaltcocenium employing chimstry-informed neural networks and quadratic neural networks' (poster presentation), 10/28/2022
    The 2022 Made in SC Research Fellows and Faculty Conference and Celebration, Greenville, SC

  12. 'Dynamic boundary conditions' (Three minutes elevator pitch), 9/28/2022
    Southeastern Conference (SEC) Emerging Scholars Career Preparation Workshop, University of Missouri, Columbia, MO

  13. 'Application of Deep Learning in Chemistry and Life Science and the Experience of Pursuing my Ph.D' (invited online talk), 5/14/2022
    Department of Mathematics, Xiangtan University, Xiangtan, Hunan, P.R. China

  14. ’An introduction to Variational Autoencoder (VAE)’, 2/25/2022
    ACM student seminar, University of South Carolina, Columbia, SC

  15. ’An introduction to Principal component analysis (PCA)’, 10/15/2021
    ACM student seminar, University of South Carolina, Columbia, SC