Hi, I’m Minghua Wang, a postdoc at University of Tennessee, Knoxville, working with Vasileios Maroulas. I hold a Ph.D. in Computer Science from University at Buffalo, where I was advised by Jinhui Xu. My research focuses on applied topology. You can reach me at mwang@utk.edu for any correspondence.
Publications
- Interstate-Augmented County Graphs for Opioid Overdose Mortality Rate Prediction
- Sheaf Neural Networks for Learned Sensor Fusion in Traffic Forecasting
- 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