Hengrong Du

Assistant Professor of Mathematics
hdu@fisk.edu
(615) 329-8500

Education:

  • Ph.D. in Mathematics, Purdue University, West Lafayette, IN (2021)
  • M.S. in Computational Mathematics, Beijing Normal University, Beijing, China (2016)
  • B.S. in Mathematics and Applied Mathematics, South China Normal University, Guangzhou, China (2013)

Research Interests:

  • Partial Differential Equations (PDEs)
  • Mathematical Machine Learning
  • Applied Analysis

Brief Biosketch:
Dr. Hengrong Du is an Assistant Professor of Mathematics at Fisk University. He received his B.S. in Mathematics and Applied Mathematics from South China Normal University in 2013, his M.S. in Computational Mathematics from Beijing Normal University in 2016, and his Ph.D. in Mathematics from Purdue University in 2021. His research focuses on partial differential equations, applied analysis, and mathematical machine learning, with interests in applications to scientific computing, stochastic systems, and data-driven modeling.

 

Selected Publications:

  1. H. Du, X. Hu, and C. Wang, “Suitable weak solutions for the co-rotational Beris–Edwards system in dimension three,” Archive for Rational Mechanics and Analysis, 2020.
  2. H. Du, T. Huang, and C. Wang, “Weak compactness property of simplified nematic liquid crystal flows in dimension two,” Mathematische Zeitschrift, 2022.
  3. H. Du, Y. Shao, and G. Simonett, “On a thermodynamically consistent model for magnetoviscoelastic fluids in 3D,” Journal of Evolution Equations, 2024.
  4. H. Zheng, H. Du, Q. Feng, W. Deng, and G. Lin, “Constrained exploration via reflected replica exchange stochastic gradient Langevin dynamics,” Proceedings of the 41st International Conference on Machine Learning (ICML), 2024.
  5. Y. Bai, R. Diaz Martin, H. Du, A. Shahbazi, and S. Kolouri, “Partial Gromov–Wasserstein metric,” International Conference on Learning Representations (ICLR), 2025.