Hi, I’m Minghua Wang, a postdoc at the University of Tennessee, Knoxville, working with Vasileios Maroulas. My research focuses on applied topology. I earned my Ph.D. in Computer Science from the University at Buffalo, where I was advised by Jinhui Xu. You can reach me at mwang@utk.edu or find me on Google Scholar and LinkedIn.
Publications
- Interstate-Augmented County Graphs for Opioid Overdose Mortality Rate Prediction
- Sheaf Laplacian Sparsification on Graphs
- Dynamical Persistent Homology via Wasserstein Gradient Flow
- Multiset Transformer: Advancing Representation Learning in Persistence Diagrams
- Persistent Local Homology in Graph Learning
- Topics in Topological Machine Learning: Persistent Local Homology, Multiset Transformer, and Beyond