Yaohua Hu - Grants

  1. Principal Investigator, National Natural Science Foundation of China (Outstanding Young Scholars): Structured nonconvex optimization: Theory and applications (12222112), 2023.01-2025.12.

  2. Principal Investigator, National Natural Science Foundation of China: Stability theory for lower-order regularization method of low-rank matrix optimization and its applications (12071306), 2021.01-2024.12.

  3. Principal Investigator, National Natural Science Foundation of China: Nonconvex regularization for structured sparse optimization problems with applications (11601343), 2017.01-2019.12.

  4. Principal Investigator, National Natural Science Foundation of China: Numerical methods for convex composite optimization problems with applications (11526144), 2016.01-2016.12.

  5. Principal Investigator, Natural Science Foundation of Guangdong: Low-rank matrix optimization via nonconvex regularization: Theory, algorithms and applications (2019A1515011917), 2019.10-2022.09.

  6. Principal Investigator, Natural Science Foundation of Guangdong: Lower-order regularization for group sparse optimization with applications (2016A030310038), 2016.06-2019.05.

  7. Principal Investigator, Project of Educational Commission of Guangdong Province - Key Project: Methodology of systems biology based on joint sparse optimization methods (2023ZDZX1017), 2024.01-2026.12.

  8. Principal Investigator, Project of Educational Commission of Guangdong Province - Innovation Project: Stability theory for structured nonconvex optimization problems with applications (2021KTSCX103), 2022.01-2023.12.

  9. Principal Investigator, Foundation for Distinguished Young Talents in Higher Education of Guangdong: Deep sparse optimization and applications in gene regulatory networks inference (2015KQNCX145), 2016.01-2017.12.

  10. Principal Investigator, Natural Science Foundation of Shenzhen (Distinguished Young Scholars): Nonconvex composite optimization: Mathematical theory and applications to machine learning and AI pharmacy (RCJC20221008092753082), 2023.04-2028.03.

  11. Principal Investigator, Natural Science Foundation of Shenzhen: The study of early embryonic development by virtue of mathematical optimization methodology and single cell RNA sequencing data (JCYJ20190808173603590), 2020.06-2023.05.

  12. Principal Investigator, Natural Science Foundation of Shenzhen: New methodology for systems biology based on deep sparse optimization methods (JCYJ20170817100950436), 2018.04-2020.03.

  13. Principal Investigator, Natural Science Foundation of Shenzhen: New technique for inferring gene regulatory networks based on deep feature selection, 2017.01-2019.12.

  14. Principal Investigator, Research Team Cultivation Program of Shenzhen University: Composite optimization and complex analysis: Theory and applications (2023QNT011), 2024.01-2025.12.

  15. Principal Investigator, Research Grant of SZU: Structured optimization problems: Theory and algorithms (201616), 2016.01-2017.12.

  16. Principal Investigator, Natural Science Foundation of SZU: Sparse optimization with applications (201544), 2015.06-2017.05.

  17. Co-Principal Investigator, National Natural Science Foundation of China: Study on the methods of virtual screening for active molecules that manipulate cell fate based on key transcriptional regulatory networks (32170655), 2022.01-2025.12.

  18. Co-Principal Investigator, Educational Commission of Guangdong Province: Machine learning: Theory, model and applications (2019KZDZX1007), 2020.01-2022.12.

  19. Co-Principal Investigator, National Natural Science Foundation of China: The penalty approach for Hamilton-Jacobi-Bellman generalized complementarity problems (11871347), 2019.01-2022.12.

  20. Co-Principal Investigator, National Natural Science Foundation of China: Analysis of some ruin-related quanatities in risk models and their applications (11601344), 2017.01-2019.12.